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World J Pharmacol. Jun 9, 2015; 4(2): 193-209
Published online Jun 9, 2015. doi: 10.5497/wjp.v4.i2.193
Appropriate prescribing in the elderly: Current perspectives
Amanda Hanora Lavan, John O’Grady, Paul Francis Gallagher, Department of Geriatric Medicine, Cork University Hospital, Cork, Ireland
Author contributions: All the authors contributed to this work.
Conflict-of-interest: None.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Paul Francis Gallagher, PhD, FRCPI, Consultant Physician, Department of Geriatric Medicine, Cork University Hospital, Cork, Wilton, Co., Cork, Ireland. paul.gallagher1@hse.ie
Telephone: +353-21-4921302 Fax: +353-21-4922829
Received: July 27, 2014
Peer-review started: July 28, 2014
First decision: September 16, 2014
Revised: March 20, 2015
Accepted: May 8, 2015
Article in press: May 11, 2015
Published online: June 9, 2015
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Abstract

Advances in medical therapeutics have undoubtedly contributed to health gains and increases in life expectancy over the last century. However, there is growing evidence to suggest that therapeutic decisions in older patients are frequently suboptimal or potentially inappropriate and often result in negative outcomes such as adverse drug events, hospitalisation and increased healthcare resource utilisation. Several factors influence the appropriateness of medication selection in older patients including age-related changes in pharmacokinetics and pharmacodynamics, high numbers of concurrent medications, functional status and burden of co-morbid illness. With ever-increasing therapeutic options, escalating proportions of older patients worldwide, and varying degrees of prescriber education in geriatric pharmacotherapy, strategies to assist physicians in choosing appropriate pharmacotherapy for older patients may be helpful. In this paper, we describe important age-related pharmacological changes as well as the principal domains of prescribing appropriateness in older people. We highlight common examples of drug-drug and drug-disease interactions in older people. We present a clinical case in which the appropriateness of prescription medications is reviewed and corrective strategies suggested. We also discuss various approaches to optimising prescribing appropriateness in this population including the use of explicit and implicit prescribing appropriateness criteria, comprehensive geriatric assessment, clinical pharmacist review, prescriber education and computerized decision support tools.

Key Words: Elderly; Inappropriate prescribing; Polypharmacy; Beers criteria; Screening Tool of Older Person’s potentially inappropriate Prescriptions/Screening Tool to Alert to Right Treatment; Adverse drug reactions

Core tip: In this paper we discuss the challenges and complexities of prescribing for older people. We describe the important age-related changes in pharmacokinetics and pharmacodynamics that influence prescribing decisions and we highlight commonly encountered examples of drug-drug and drug-disease interactions. We present a detailed analysis of a complex clinical case in which several instances of potentially inappropriate prescribing exist and we suggest corrective actions. We explore a range of strategies aimed at optimizing prescribing appropriateness for older people including prescribing criteria, comprehensive geriatric assessment, clinical pharmacy interventions and computerized decision supports.



INTRODUCTION

Over the last century, there have been dramatic increases in life expectancy owing largely to improvements in living standards and advances in diagnostics, pharmaceutical medicine and therapeutics. This is reflected in worldwide changes in population demographics, with ever-increasing numbers of older people. The United Nations define “older people” as being aged 60 years or older with the oldest old being 80 years or older. In 1990, 9.2% of the world’s population was aged at least 60 years old. In 2013, this proportion was 11.3% and by 2050, it is estimated that 21.2% of the world’s population will be aged 60 years and over[1]. The largest numbers of older adults currently reside in developed countries, however by 2050 it is estimated they will reside in developing countries. Presently the older population is predominantly female with an expected improvement in male mortality expected in the coming years[1].

Though increased longevity is to be celebrated, it is well established that increasing age brings with it an increase in the burden of co-morbidity and a corresponding increase in the consumption of medications. Appropriate selection and prescription of curative and preventative medicines is an essential element of high quality healthcare for older people, who are the greatest consumers of healthcare resources in most developed nations[2]. One in eight Americans is aged over 65 years, but this small proportion of the population consumes the greatest proportion of prescription medications[3]. Similarly, older Europeans consume over twice as many healthcare resources than their younger counterparts[4]. In the United Kingdom approximately one fifth of the population is aged over 65 years, but this group receives 45% of all dispensed drugs[5]. In Ireland, 11% of the population is over 65 years but account for up to 50% of medications dispensed through its reimbursement service[6]. In the United States approximately 30% of community-dwelling older adults are regularly prescribed five or more medications[7]. This number rises in hospitalized older patients and in nursing home residents, perhaps reflecting a greater disease burden.

It is estimated that older people consume approximately 40% of all over-the-counter (OTC) medications sold in the United States[8]. Concurrent use of OTC medication with regular prescription medications places patients at higher risk of adverse outcomes; one study reported that 46% of older patients were concurrently taking OTC medications with regular prescription medications and 1 in 25 of these patients were at risk of significant drug interactions[7]. In addition, there is emerging evidence that the consumption of complementary and alternative medicines amongst older adults is steadily increasing[9]. A recent study showed a significant rise in the use of herbal remedies in those aged ≥ 65 years from 13.2% in 2002 to 19.5% in 2007[10].

Prescribing for older patients with multiple chronic illnesses, especially frailer older patients with cognitive and functional impairments, presents many unique challenges, particularly with respect to the following variables: (1) polypharmacy; (2) altered pharmacokinetic and pharmacodynamic responses; (3) balancing the risk of harm vs long term therapeutic benefit; and (4) paucity of robust scientific evidence for use of commonly prescribed medications in older, frail patients with limited life expectancy.

Prescribers must be cognizant of important age-related anatomical, biochemical and physiological changes that affect drug pharmacokinetics, pharmacodynamics and homeostatic mechanisms. They must also be aware of the potential for interaction with concurrently prescribed drugs and co-existing disease states. Prescribers should have an appreciation of the potentially low therapeutic yield in very frail older patients with poor life expectancy where the risk of certain treatments can exceed the potential clinical benefit. These important tenets of appropriate prescribing for older patients are briefly summarised below.

Pharmacokinetics and ageing

The key pharmacokinetic changes commonly associated with ageing are summarized in Table 1. A more detailed description follows. Drug absorption is generally unaltered in healthy older people; however certain conditions may affect the rate of drug absorption. Drugs with anticholinergic effects may reduce saliva secretion, thus impeding the rate, but not necessarily the amount of drug absorbed through the oral mucosa, e.g., buccal midazolam and sublingual nitrate. The rate of absorption of subcutaneous, intramuscular and transdermal medications can be affected by reduced tissue perfusion. Conversely, prokinetic agents such as domperidone or erythromycin can increase the rate of delivery of an oral drug to its absorption site. Reductions in small bowel active transport mechanisms can affect the extent of absorption of iron and vitamin B12. Intravenous absorption is generally not affected.

Table 1 Pharmacokinetics and ageing.
Absorption↓ amount of saliva
↑ gastric pH
↓ gastric acid secretion
↑ gastric emptying time
↓ gastric surface area
↓ gastrointestinal motility
↓ active transport mechanisms
Distribution↓ cardiac output
↑ peripheral vascular resistance
↓ renal blood flow
↓ hepatic blood flow
↓ body water
↑ body fat tissue
↓ serum albumin levels
↑ for lipid soluble and decrease for water soluble drugs
Metabolic↓ microsomal hepatic oxidation
↓ clearance
↑ steady state levels
↑ half lives
↑ levels of active metabolites
↓ first pass metabolism due to reduced ↓ blood flow
Excretion↓ in renal perfusion
↓ in renal size
↓ in glomerular filtration rate
↓ tubular secretion
↓ in tubular reabsorption

Plasma drug concentration is inversely related to its volume of distribution (Vd), which in turn, is dependent on the hydrophilic and lipophilic volumes in the body. As people age, there is a reduction in muscle mass and body water content with a proportionate increase in body fat[11]. Consequently, the Vd for hydrophilic drugs (e.g., lithium) is reduced; this may result in toxicity if drugs are not dose-adjusted. Lipophilic drugs (e.g., antipsychotic medications) have a higher Vd in older people, and therefore have an increased elimination half-life, prolonged drug effect and accumulation with continued use thus increasing the potential for toxicity and adverse drug events (ADEs)[12].

Most drugs bind to protein (e.g., albumin and α-1 glycoprotein) when circulating in plasma compartments, with only the unbound drug being pharmacologically active. In healthy older people, changes in serum albumin concentrations are minimal. In older people with chronic illnesses and malnutrition, serum albumin concentrations can be significantly reduced, leading to a reduction in bound drug concentrations and higher serum levels of free drug. This affects commonly prescribed drugs such as sodium valproate, warfarin and antipsychotics, thus increasing the potential for drug toxicity and adversity in patients with diminished circulating albumin. This is particularly relevant to frail, older hospitalised patients.

Hepatic mass and perfusion declines with age, thus reducing the liver’s capacity for first pass metabolism[13]. Commonly prescribed drugs such as verapamil, amitriptyline and morphine may have higher bioavailability at standard doses in older people, thus leading to greater potential for adverse effects if not dose-adjusted. An example of this includes the risk of first dose hypotension with antihypertensive medications that have a high extraction ratio. This ratio would be reduced in older patients thus leading to greater bioavailability after hepatic extraction and thus greater potential for significant first-dose hypotension, so caution is needed when initiating antihypertensive treatment in an older patient with respect to dose and time of administration.

Another important consideration is the possibility of drugs interacting through inhibition and induction of cytochrome p450 isoenzymes. Commonly encountered enzyme inducers and inhibitors are detailed in Table 2. Enzyme induction may take several weeks to occur and may result in treatment failure in those taking multiple medications, e.g., a patient may fail to respond to “drug A” because “drug B” has induced a cytochrome p450 isoenzyme which metabolizes “drug A”.

Table 2 Common cytochrome P450 isoenzyme inhibitors and inducers.
Enzyme inhibitorsEnzyme inducers
AmiodaroneCarbamazepine
AllopurinolEthanol
CimetidineIsoniazid
Citalopram, sertralinePhenytoin
CiprofloxacinPhenobarbital
Diltiazem, verapamilRifampcin
Fluxetine, paroxetineSt. Johns Wort
Erythromycin, clarithromycin
Fluconazole, ketoconazole
Omeprazole
Sulphonamides
Grapefruit Juice

With ageing, well-documented changes occur in renal size, perfusion and function (see Table 1)[14]. This is of particular relevance to older patients who are prescribed renally excreted drugs where reduced elimination can lead to increased and potentially toxic drug accumulation (Table 3). Glomerular filtration rate (GFR) should be estimated using readily available formulas such as the Cockcroft and Gault[15] and Modification of Diet in Renal Disease[16]. Prescribers should be aware that serum creatinine concentration alone is an unreliable marker of renal function in the elderly owing to reductions in muscle volume. Indeed, approximately 50% of those with normal creatinine levels have a reduced estimate GFR (eGFR)[17].

Table 3 Common used drug classes which require dose adjustment with chronic kidney disease.
Drug classAdjust dose in CKD stage 1-3Avoid in CKD stages 4 and 5
ACE-inhibitors and Angiotensin 2 receptor blockersAll ACE inhibitorsOlmesartan
DiureticsPotassium-sparing and thiazide diureticsPotassium-sparing and thiazide diuretics
Beta-blockersAcebutolol, atenolol, bisoprolol, nadolol, sotalolSotalol
Lipid lowering agentsPravastatin, rosuvastatin, fibratesGlyburide, metformin, exanitide
Hypoglycaemic agentsGliclazide, acarbose, insulin, gliptins
Analgesia (NSAIDs and opioids)Codeine, tramadol, morphine, oxycodone,All NSAIDs, pethidine
Psychotropic agentsLithium, gabapentin, pregabalin, topiramate, vigabatrin, bupropion, duloxetine, paroxetine, venlafaxine
MiscellaneousAllopurinol, colchicine, digoxinDabigatran Rivaroxaban (CI stage 5, dose adjust in stage 4 CKD) Apixaban (CI stage 5, dose adjust in stage 4)
Pharmacodynamics and ageing

Older people often have significantly different pharmacodynamic responses than their younger counterparts to similar drug concentrations. Differences can be caused by a shift in receptor affinity, density, post-receptor events at the cellular level, or in adaptive homeostatic response mechanisms. Pathologic organ changes may also affect pharmacodynamic responses, particularly in frail older patients[17]. Prescribers should be aware of commonly encountered age-related pharmacodynamic differences as listed in Table 4. Some clinically relevant examples are present in Table 5. Generally, it is recommended to initiate medications at the smallest possible dose and titrate slowly according to response.

Table 4 Age-associated changes in pharmacodynamic response to commonly prescribed drugs.
Drug typeSpecific drugPharmacodynamic response in older peoplePotential clinical consequence
AnalgesiaMorphineExcessive sedation, confusion, constipation, respiratory depression
AnticoagulantWarfarin Dabigatran in those ≥ 75 yr with a body weight of < 50 kg)Increased bleeding risk
Cardiovascular system drugsAngiotensin II receptor blockersHypotension
Diltiazem
Enalapril
Verapamil
Propranolol
DiureticsFrusemideReduced diuretic effect at standard doses
Bumetanide
Psychoactive drugsDiazepamExcessive sedation, confusion, postural sway, falls
Midazolam
Temazepam
Haloperidol
Traizolam
OthersLevodopamineDyskinesia, confusion, hallucinations
Table 5 Commonly used drugs - comparison of prescription between older and younger patients.
DrugTypical dose in younger patient (< 65 yr)Typical dose in older patient (65 yr)Reason for different dose in the elderly
Anti-arrhythmics
DigoxinLoading dose is 1-1.5 mg in divided doses over 24 h Maintenance dose 125-250 mcg ODLoading dose is 1 mg in divided doses over 24 h Maintenance dose 62.5-125 mcg ODWater soluble contributing to increased plasma levels in the elderly
Anti-coagulants
WarfarinStandard initiation dose, e.g., 10 mg daily for two daysLower initiation dose, e.g., 5 mg daily for two daysIncreased sensitivity to anticoagulant effect
Dabigatran150 mg BDPatient > 80 yr 110 mg BD Patient 75-80 yr 150 mg BD in setting or normal eGFRIncreased sensitivity to anticoagulant effect
Anti-hypertensive
RamiprilInitiation dose 2.5 mgInitiation dose 1.25 mgLower initial dose and gradual dose titration required (higher risk of ADE in the elderly)
Psychoactive drugs
Diazepam2 mg TDS1 mg BDLipid soluble with higher volume of distribution in older people thus contributing to a prolonged duration of effect
Polypharmacy

Polypharmacy is often defined by the number of prescribed medications, with ≥ 6 drugs being a common cut-off point[18]. Another definition of polypharmacy is the prescription of at least one drug without valid clinical indication[19]. Increasing numbers of medications is associated with a higher risk of ADEs with resultant increased frequency of hospitalisation, negative health outcomes and increased healthcare resource utilisation[20-25]. The risk of an adverse drug reaction (ADR) when taking two concurrent medications is 13%[26]. This risk rises to 38% in patients taking 4 medications and to 82% in those taking ≥ 7 medications[26]. Polypharmacy can often be indicative of prescribing cascades, i.e., where a new drug is used to treat a negative effect of an existing drug. Clearly, prescription of medications in such circumstances is inappropriate.

Prescription of multiple drugs impacts negatively on adherence and compliance. Clinicians are sometimes unaware of their patients complete prescription record perhaps because of multiple prescribers or under-reporting by patients at time of consultation. Frank et al[27] reported that almost 4 out of 10 patients were taking drugs unbeknownst to their doctors, and approximately 1 out of 20 patients were not taking medications listed on their prescription record. Prescribers should make every effort to obtain an accurate medication list. Pharmacy reconciliation protocols are useful for this purpose in hospital environments. Tools such as the Structured History of Medications can also be very useful in this regard, though they are time consuming to complete[28].

Drug interactions

One drug can interact with another drug through pharmacokinetic or pharmacodynamic mechanisms. Gurwitz et al[29] reported that drug interactions accounted for 13% of preventable prescribing errors. The risk increases with rising numbers of prescribed drugs and with multiple attending prescribers[30]. A study of over sixteen hundred older outpatients across six European countries found that 46% had at an important drug interaction with 1 in 10 having the potential for severe consequence[31]. Table 6 details some commonly encountered and potentially significant drug-drug interactions in older people.

Table 6 Important drug interactions in older patients.
DrugDrugInteractionEffect
Anti- hypertensive agentsNSAIDNSAID antagonizes hypotensive effect↓ antihypertensive effect
AspirinNSAID, oral corticosteroids↑ risk of peptic ulcerationPeptic ulceration
Calcium channel blockersEnzyme inducers↑ clearance of calcium channel blocker↓ anti-hypertensive effect
DigoxinDiureticsDiuretic-induced hypokalaemia↑ effect of digoxin (arrhythmia, toxicity)
DigoxinAmiodarone, Ditiazem, Verapamil↓ clearance of digoxin↑ effect of digoxin (arrhythmia, toxicity)
TCAEnzyme inhibitors↓ clearance of TCAArrhythmia, confusion, orthostatic hypotension, falls
PhenytoinEnzyme inhibitors↓ clearance of phenytoin↑ effect of phenytoin, toxicity
ThyroxineEnzyme inducers↑ clearance of thyroxine↓ effect of thyroxine

Drugs can often worsen co-existing medical conditions. The risk of drug-disease interactions is higher in older adults who are on multiple medications to treat multiple conditions. Lindblad et al[32,33] reported that 15%-40% of hospitalized older adults were prescribed a drug that could potentially exacerbate a co-existing condition, e.g., use of non-dihydropyridine calcium antagonists with heart failure. In the community-dwelling elderly, the prevalence of drug-disease interactions ranges from 6% to 30%[34-37]. Commonly encountered drug-disease interactions, which have the potential for clinically significant negative outcomes in older patients, are presented in Figure 1. Prescription of these medications in these clinical circumstances is potentially inappropriate, particularly if safer alternatives are available.

Figure 1
Figure 1 Common encountered clinically significant drug-disease interactions in older patients. The following conditions may be exacerbated by prescription of the drug classes listed below.TCA: Tricyclic anti-depressants; NSAID: Non-steroidal anti-inflammatory drug; SSRIs: Selective serotonin reuptake inhibitors.
Appropriate prescribing

So far, we have described circumstances where prescribing decisions in older patients can be considered to be potentially inappropriate, i.e., where the risk of a negative outcome exceeds the potential therapeutic gain. The term “appropriate prescribing” extends well beyond the aforementioned pharmacological principles to encompass a range of actions and attitudes that characterise the quality of prescribing that should be achieved in everyday practice[38] (summarised in Figure 2). This term encompasses several important domains including patient choice, therapeutic expectation, scientific and technical rationalisation and the general good for society[38]. A discussion of pharmacoeconomic rationalisation is beyond the scope of this paper, but it is becoming increasingly important that prescribers are economically just in their decisions so that the greatest number can receive the greatest benefit and that older individuals can be offered the least expensive available therapeutic options.

Figure 2
Figure 2 Important considerations when evaluating the quality of prescribing decisions in older people.

Inappropriate prescribing (IP) is a commonly used term. It pertains to use of medications that may cause more harm than good and perhaps, more importantly, the under-prescription of clinically indicated medications[38]. IP has been identified in 12%-40% of residents in long-term care facilities and in 14%-23% of community-dwelling older people[39,40]. The association between IP and negative outcomes such as ADRs has been shown in numerous studies in Europe[41,42], the United States[43-45] and Asia[46].

Clinical judgments of prescribing appropriateness with respect to therapeutic benefit are often difficult to make because of insufficient scientific evidence for the older population. Those with multiple co-morbidities and multiple medications are often poorly represented in clinical trials and physicians often have to extrapolate scientific evidence from the use of medications in younger, unrepresentative patient populations, with fewer illness and fewer concurrent medications. Only 2.1% of patients recruited to trials investigating the efficacy of non-steroidal anti-inflammatory drugs (NSAIDs) were aged 65 years and over, with less than 0.1% over 75 years[47]. Nonetheless, NSAIDs are commonly used to treat musculoskeletal disorders in older patients. It is well established that the risk of adverse events of NSAIDs such as peptic ulcer disease is much higher in older people. Indeed, inappropriate use of NSAIDs is a commonly encountered ADR in elderly inpatients[48], usually through incorrect dose, prolonged duration or failure to recognize impairment of renal function.

Under-prescribing of essential, often preventative medication is perhaps an even bigger concern than misuse of medications in older patients, particularly when the potential outcome of not treating the condition can be catastrophic[49]. The risk of cardio-embolic stroke in those with atrial fibrillation increases with age (1.2% to 2.5% annual risk in persons aged 60-69 years vs 7.3%-13.7% annual risk in persons aged 80 years and over)[50-52] but many do not receive evidence-based preventative anticoagulation[53]. The Irish Longitudinal Study on Ageing recently reported that 30% of patients had a potential prescribing omission (PPO), the most common PPO being appropriate anti-hypertensive therapy[54]. Prescribing omissions were twice as common as inappropriate prescriptions[55]. Even greater proportions of hospitalised older patients are reported to have potentially inappropriate prescribing omissions, with Barry et al[55] reporting 57% prevalence of prescribing omissions in one prospective study of over 600 hospitalised older patients in Ireland. The elderly have a higher burden of co-morbid illnesses, e.g., a single patient may have hypertension, diabetes mellitus, chronic obstructive airways disease, dementia and recurrent falls. Every effort should be made to appropriately treat all illnesses bearing in mind the principles of appropriate prescribing as previously discussed.

Other considerations

Prescribing appropriateness must also take into account a patient’s capacity to comply with the prescription as well as their physical ability to take the medication. In older adults post coronary artery bypass grafting it was found that in-hospital education was paramount in helping patients adhere to their medication regimens[56]. However, it must be acknowledged that almost 25% of patients aged ≥ 80 years will have significant cognitive deficits and memory deficits can often contribute to improper medication use as patients can have difficulty understanding instructions[57]. Patients may fail to remember to take their medicines or may even take multiple doses concurrently thus placing them at an increased risk of adverse drug events[42]. Prescribers have a responsibility to ensure that medications can be taken safely and reliably. Sometimes this requires simple written instructions, the use of doset boxes or blister-packs, or direct supervision of administration by a carer or relative. Physical impairments such as hearing loss, visual loss and impaired manual dexterity can also impact on adherence to prescribed medications, thus resulting in poor therapeutic yield and consequent negative outcomes.

Clearly, prescribing for older patients is complex and sometimes time-consuming particularly when all of the aforementioned variables are considered. In addition, older patients are a heterogeneous group, with wide variation in physical, cognitive and functional status. The most important clinical question when deciding on prescribing appropriateness is whether or not there is a clear clinical indication for the treatment. This requires a clear diagnosis and a clear expectation of the therapeutic goal. Evaluation of the therapeutic goal must take into account the scientific rational of using a drug as well as the potential benefit to improving the condition. Prescribers must ensure that people take the appropriate medicine at the correct dose; thereby minimizing risks of adversity (see Table 7).

Table 7 Key considerations when prescribing for older patients.
Use non-pharmacological treatment whenever possible
Include the patient (and carer where appropriate) in prescribing decisions
Ensure each medication has an appropriate indication and a clear therapeutic goal (this involves careful clinical assessment and appreciation of time to obtain treatment effect and life expectancy)
Start at the smallest dose and titrate slowly according to response and efficacy
Use the simplest dosing regimen (e.g., once a day preferable to three times per day) and most appropriate formulation
Provide verbal and written instructions on indication, time and route of administration and potential adverse effects of each medication
Regularly review prescriptions in the context of co-exiting disease states, concurrent medications, functional and cognitive status and therapeutic expectation
Be aware that new presenting symptoms may be due to an existing medication, drug-drug interaction or drug-disease interaction (avoid prescribing cascade)
When stopping a medication check that it can be stopped abruptly or whether it needs to be tapered, e.g., long-term steroids, benzodiazepines

A case history, displayed in Table 8, illustrates the complexities of making appropriate prescribing decisions in older people and also some of the negative clinical consequences of IP decisions. Other examples of important considerations with respect to prescribing safety, cautions, dosage and therapeutic options are presented in Figure 3.

Figure 3
Figure 3 Influential factors when prescribing for the elderly with some examples.
Table 8 Clinical example.
An 80-year-old lady is referred with a four day history of general malaise, nausea, vomiting and recurrent falls. Her past medical history includes paroxysmal atrial fibrillation, non-obstructive coronary artery disease, hypertension, recurrent episodes of acute gout, dependent lower limb edema and “vertigo/dizziness”. Prior to this episode she was functionally independent and had normal cognition
Her medications were as follows: Simvastatin 40 mg daily; Verapamil 240 mg daily; Quinine Sulphate 300 mg daily, Perindopril 5 mg/Indapamide 1.5 mg daily; Digoxin 250 mcg daily; Diclofenac 75 mg twice daily; Frusemide 40 mg daily; Betahistine 16 g three times per day; Paracetamol 1 g as required; Warfarin as per INR (target INR 2-3); Flurazepam 30 mg nocte. She was not taking OTC medications
On assessment she was pale and tired. Supine blood pressure was 122/70 mmHg; erect blood pressure after one minute was 92/62 mmHg
Pulse was 52 beats per minute. She had no clinical signs of congestive cardiac failure. She scored 9/10 on a short mental test score
Investigations showed a eGFR of 38 mL/min, serum potassium 2.8 mmol/L (low) and serum sodium 126 mmol/L (low). Haemoglobin was 10.2 g/dL with MCV 72fl (hypochromic microcytic anemia)
When evaluating the appropriateness of an older person’s prescription medications it is important to consider the following two questions:
1 Is there a clinical indication for the drug?
2 Could the drug be contributing to the presenting symptoms?
Using this approach each medication should be evaluated in turn and corrective action implemented
MedicationClinical indication?Contributing to presenting symptoms?Action taken?
Simvastatin 40 mgYes (hyperlipidaemia, high cardiovascular risk)Could cause muscle cramps and myopathy which could lead to falls (note patient prescribed quinine)Check fasting lipid profile and creatine phosphokinase. Revise dose according to target lipid levels
Verapamil 240 mgYes (hypertension, arrhythmia)Could cause hypotension and bradycardia. Increased risk of myopathy when prescribed with simvastatinConsider discontinuation. Beta-blocker may be more appropriate choice as rate controlling agent
Quinine 300 mgNo clear indicationNoMuscle cramps may be due to statin. Review choice of statin. Discontinue Quinine
Perindopril 5 mgYes (hypertension)Could contribute to postural hypotension and acute renal injuryConsider temporary withdrawal while investigating cause of renal dysfunction
Indapamide 1.5 mgYes (hypertension)Could contribute to postural hypotension, acute renal injury, hyponatraemia and hypokalaemia. Can precipitate digoxin toxicity, hyperuricaemia and recurrent episodes of goutDiscontinue
Digoxin 250 mcgYes (atrial fibrillation)Symptoms of digoxin toxicity. Dose too high given level of renal dysfunctionDiscontinue. Beta-blocker may be more appropriate choice of rate controlling agent
Diclofenac 75 mgYes (acute gout)Yes. Diclofenac may be causing renal impairment. Gastritis/peptic ulcer disease should also be considered because of nausea, vomiting and microcytic anemia. NSAIDs should not be prescribed with warfarin because of significantly increased risk of bleedingDiscontinue. Consider addition of allopurinol for gout prophylaxis
Frusemide 40 mgYes (hypertension)Yes (hypotension, hyponatraemia, hypokalaemia, renal impairment)Frusemide is not required as an anti-hypertensive in this patient. It has been prescribed to treat dependent lower limb edema. Leg elevation and compression stockings would be more appropriate
Betahistine 16 mgNo (prescribed for dizziness which is actually related to orthostatic hypotension)NoDiscontinue. No indication
Paracetamol 1 gYes (pain)NoContinue
WarfarinYes (atrial fibrillation embolic prophylaxis)May be contributing to anemia. Should not be co-prescribed with diclofenac as there is an increased risk of bleedingInvestigate cause of anemia. Consider future suitability for anticoagulation if high falls risk persists
Flurazepam 30 mgNoYes (falls, malaise)Contact GP and pharmacy for prescription history. Do not suddenly discontinue because of risk of benzodiazepine withdrawal
ADVERSE DRUG EVENTS AND ADRS

An adverse drug event (ADE) is defined as “any injury resulting from the use of a drug”[58]. This broad definition encompasses any harm caused directly by the medication and any event that occurs during its use (including dose reductions and harm from discontinuation of the drug). An ADR is defined as a “response to a drug which is noxious and unintended and which occurs at doses normally used in man for prophylaxis, diagnosis, or therapy of disease or for the modification of physiologic function”[58,59].

Unsurprisingly, ADEs are highly prevalent in the elderly. Those with multiple co-morbidities and who are prescribed multiple medications are at the highest risk. It is widely accepted that the crude prevalence rate of ADEs in community-dwelling older people is approximately 30%[60]. One study reported that ADEs accounted for 1 in 10 of all emergency department attendances in those aged ≥ 65 years[61]. Approximately one third of those with an ADE had a potential drug interaction. The most common offending medications were NSAIDs, antibiotics, anticoagulants, diuretics, hypoglycemic agents, β-blockers, calcium-channel blockers, and chemotherapeutic agents[61]. ADEs are common in hospitalized older patients, with prevalence rates of up to 25% being reported in some studies[44,62-64]. Most ADEs are predictable with 27% of ADEs in community-dwelling older patients[30] and 42% of ADEs in nursing home facilities thought to be avoidable[63].

One large study of over 18000 hospital admissions found that ADRs were responsible for 1 in 16 hospitalisations (6.5%), 4% of hospital bed capacity and 0.15% of deaths[65]. In the United States, it has been reported that ADRs are amongst the leading causes of death[59]. The majority of ADRs (> 80%) in older people are predictable in that they are related to the known pharmacological effect of the drug and often escalate with increasing dose[66].

PRESCRIBING APPROPRIATENESS CRITERIA

With changing demographics and ever-increasing availability of therapeutic agents, the frequency of IP in older patients is not abating. Various strategies to identify, measure and reduce potentially inappropriate prescribing have been the focus of worldwide research endeavors over the last thirty years. A detailed analysis of all such endeavors is beyond the scope of this paper. Instead we will focus on the principal prescribing appropriateness criteria, their relationship to adverse healthcare outcomes and the evidence to support their role in optimising prescribing appropriateness.

Explicit criteria for appropriate prescribing comprise lists of medications that are known to cause harm in older adults; either through predictable pharmacological or predictable physiological mechanisms. In general, they have been developed from expert consensus techniques[67]. Explicit criteria can often be utilised in the absence of detailed clinical data[68]. However, this may also be a limitation, particularly in older patients, where clinical detail is an essential requirement for any treatment decision, particularly in relation to burden of co-morbidity[69], patient preference and consideration of previously unsuccessful treatment approaches. Furthermore, explicit criteria need regular updating so as to incorporate emerging evidence.

Beers criteria focus principally on over-prescribing and mis-prescribing. They comprise a list drugs that are inappropriate to prescribe for the elderly under any circumstances and a list of drugs that should be avoided with particular clinical illnesses and syndromes[70-73]. Screening Tool of Older Person’s potentially inappropriate Prescriptions (STOPP)/Screening Tool to Alert to Right Treatment (START) Criteria are organised according to physiological system and include criteria that highlight when medications should be considered in older people, with certain conditions, where no contraindication exists, e.g., anticoagulation in patients with atrial fibrillation and calcium and vitamin D supplementation in patients with osteoporosis[74,75]. Table 9 summarises the principal explicit prescribing criteria, their advantages and disadvantages.

Table 9 Explicit criteria for potentially inappropriate prescribing in older patients.
Explicit criteriaAdvantagesDisadvantages
Beers criteria[70]Assesses prescribing quality Useful for educationSeveral drugs unavailable outside United States Does not include underuse of drugs, drug-drug interactions or duplicate drugs No under-prescribing indicators
Beers criteria[71]Concise explanation of inappropriateness Severity ratings of adverse outcomes Assesses prescribing quality Useful for educationSeveral drugs unavailable outside United States Does not include underuse of drugs, drug-drug interactions or duplicate drugs No under-prescribing indicators
Beers criteria[72]Concise explanation of inappropriateness Severity ratings of adverse outcomes Can be used by computerized clinical information systemsSeveral drugs unavailable outside the United States Controversy over some drugs labeled as inappropriate No drug to drug interaction No drug disease interactions No under prescribing
Beers criteria[73]Concise explanation of inappropriateness Structured according to therapeutic classes and organ systems Drug disease interactionsSeveral drugs unavailable outside United States No drug-drug interaction No under prescribing
STOPP/START[74]Organised by physiological system Concise list on inappropriate medications Includes drug and disease interactions, therapeutic duplications and prescribing omissionsDoes not suggest safer alternatives Does not address certain domains of prescribing, e.g., indication
McLeod criteria[113]Concise list of inappropriate medications with safer alternatives suggested Useful for educationObsolete indicators, e.g., beta blockers in heart failure No under-prescribing indicators Several drugs unavailable outside United States
IPET 2000 (Improved prescribing in the elderly tool)[114]Concise Useful for educationNot comprehensive Predominantly cardiovascular and psychotropic drugs No under-prescribing indicators
Zhans criteria[115]Less restrictive than previous criteriaSeveral drugs unavailable outside United States No drug to drug interaction No drug disease interactions No under-prescribing indicators
French Consensus Panel List[116]Concise explanation of inappropriateness Includes drug duplications Safer alternatives suggestedNo clinical studies to date No under prescribing
Rancourt[117]26 Drug drug interactions 10 drug duplicationsLarge number of criteria to get through in clinical practice Data only on long term care setting
Australian Prescribing Indicators Tool[118]Includes drug duplication Includes under-prescribingNot validated and time consuming Derived from Australian data sources limiting international applicability
Norwegian General Practice (NORGEP) Criteria[119]Can be applied to medication list with no clinical informationNo drug prescribing No drug-disease interactions No studies to date outside Norway
Priscus List[120]Provides therapeutic alternatives Recommendations on dose adjusting and monitoringNo studies to date published outside Germany
Thailand Criteria[121]Drug interactions Drug disease interactionsNo studies to date outside country of origin

Implicit criteria focus on several domains of prescribing appropriateness. The medication appropriateness index (MAI) is the most widely cited implicit tool which measures prescribing appropriateness according to 10 criteria including indication, effectiveness, dose, administration, drug-drug and drug-disease interactions and cost[76,77]. Clinical expertise and detailed clinical and pharmaceutical information is required to apply some of the criteria, thus making this tool time consuming to use in everyday clinical practice. The MAI does not address prescribing omissions. Three of the MAI criteria (indication, effectiveness and duplication) can be combined as a measure of unnecessary polypharmacy, one study of 384 frail older patients at the point of hospital discharge showing that 44% were prescribed at least one unnecessary drug, the most common drug classes being gastrointestinal, central nervous system and therapeutic nutrients or minerals[78]. Another study of 397 frail elderly inpatients showed that 365 patients (92%) met at least one MAI criterion, the most common problems being use of the most expensive drugs (70%), impractical directions (55%), and incorrect dosages (51%)[79]. One advantage of the MAI is that it encompasses elements for drug prescribing that are applicable to any medication and to any clinical condition in any clinical setting. The Assessment of Underutilisation (AOU) of Medications tool is based on an instrument reported by Lipton et al[80] and simply requires the user to match the patient’s active illnesses to his/her prescription drugs thus establishing if a condition is under-treated by omission of an indicated medication. One study showed that 64% of older patients had evidence of under prescribing according to the AOU instrument[81]. The labeling of a prescription as “potentially inappropriate” implies that the prescription in question should be predictive of an adverse outcome. Ideally, the drugs highlighted by explicit IP criteria should be associated with preventable ADEs. Prospective use of IP screening criteria should, theoretically curtail the occurrence of ADEs.

The reported prevalence rates of potentially inappropriate prescribing according to various explicit criteria range from 24% to 44% depending on the populations and proportions of criteria applied[82]. The reported associations between IP and adverse outcomes also vary. Pasina et al[83] showed the prevalence of at least one PIM was 20.1% and 20.3% according to the 2003 and 2012 iterations of Beers’ criteria respectively. However an association between IP and health outcomes was not demonstrated. Conversely, medications listed in STOPP[48] criteria have been associated with a higher proportion of patients requiring admission to hospital because of IP-related adverse events than those listed in Beers’ criteria (11.5% vs 6%, respectively). A recently published randomised controlled trial of 400 older hospitalized patients showed that unnecessary polypharmacy, incorrect dosing, and potential drug-drug and drug-disease interactions were significantly lower at time of discharge and for up to 6 mo post discharge when patients were screened with STOPP/START criteria within 72 h of hospitalization (absolute risk reduction 37.5%, number needed to screen to yield improvement in MAI = 2.8)[75]. Reduction of underutilisation of clinically indicated medications was also observed (absolute risk reduction 21.2% with a number need to yield reduction of 4.7). However, a recent systematic review of the application of STOPP/START criteria concluded that there was limited evidence found in relation to the clinical and economic impact of the STOPP/START criteria. This is the subject of ongoing research endeavors as described below.

All prescribing appropriateness criteria are designed to assist decision-making and not to substitute good clinical decision-making. However, for prescribing appropriateness criteria to continue to facilitate decision-making they will need to remain clinically valid via regular updates in tandem with evolving clinical evidence and new medications. No criteria exist specifically for guidance of prescribing in frail older long term care residents with reduced life expectancy and indeed this cohort is likely to increase with changing demographics and prolonged survival[66].

OTHER APPROACHES TO OPTIMIZING PRESCRIBING APPROPRIATENESS IN OLDER PATIENTS
Comprehensive geriatric assessment

Geriatric medicine multidisciplinary teams comprise doctors, nurses, pharmacists and other allied health professionals who offer detailed assessment of older patients’ physical, cognitive and functional abilities as well as optimization of medications. Several trials have shown improvements in all domains of prescribing appropriateness following comprehensive geriatric assessment (CGA). Schmader et al[84] demonstrated a significant reduction in the prevalence of potentially inappropriate prescribing, including under-prescribing, in older inpatients that were randomised to receive CGA when compared to routine inpatient care. In the same study, outpatients who received CGA were shown to have a 35% reduction in the risk of a serious ADEs and prescribing omissions when compared with standard care[84].

Saltvedt et al[85] reported a lower prevalence of anticholinergic drug use and potential drug interactions at hospital discharge in acutely ill elderly patients who were randomized to receive inpatient CGA compared with standard hospital care. In addition, antipsychotic drugs were more likely to be withdrawn in the intervention cohort. An Australian study of 154 long term care residents with challenging behavior showed that an intervention comprising two case conferences between a care of the elderly physician, general practitioner, pharmacist and nursing home staff resulted in significant improvements in the prevalence of IP, particularly with respect to the use of benzodiazepines[86]. A Finnish study of 400 patients with cardiovascular disease showed a significant improvement in the use of evidence-based cardiovascular medications following geriatrician review with subsequent improvement in risk factor profile, but no improvement in three year cardiovascular morbidity or mortality[87].

CGA affords a complete overview of an older patient’s health status and functional abilities and enables the prescriber to make informed prescribing decisions in the context of such variables. However, comprehensive geriatric assessment is time-consuming and resource intensive and is, in reality, only applicable to patients attending hospital, either as an inpatient or as an outpatient. It is not feasible in most health services for all older patients to undergo comprehensive geriatric assessment, thereby limiting the value of this approach at the population level.

Clinical pharmacy intervention

Clinical pharmacists perform systematic assessments of a patients’ medication regimen and generate pharmaceutical care plans with the aim of optimizing the clinical impact of treatment, minimizing adverse effects of treatment and reducing waste[88]. An intervention comprising detailed review of medications by a clinical pharmacist with subsequent recommendations for the attending physician including patient counseling showed significant improvement in MAI scores over a twelve month period when compared to usual outpatient care[89]. However, there were no improvements in other outcomes including ADEs and healthcare use. Similarly, Crotty et al[90] reported improvements in MAI scores and a lower hospital re-admission rate in older patients whose medications were reviewed and discussed in detail by doctors and pharmacists. However, significant reductions in ADEs and other adverse outcomes were not identified. In Belgium, one hospital-based study has shown that a combined pharmacy and geriatrician intervention improves prescribing appropriateness[91].

Similar to CGA, specialist pharmacy input is resource intensive and is, in reality, confined to patients attending the hospital. Not all pharmacists have specialist training in geriatric pharmacotherapy and the success of this intervention depends upon the availability of the medical record to the pharmacist as well as the acceptance of the pharmaceutical care plan by both the patient and the prescribing physician. Therefore, clinical pharmacists need to work in close liaison with prescribers. The impact of the community pharmacist with no specialist training in geriatric pharmacotherapy on prescribing appropriateness has not been studied.

Prescriber education, audit and feedback

Several studies have shown that most physicians receive inadequate training in geriatric pharmacotherapy at an undergraduate and postgraduate level[92-94]. Therefore, educational strategies targeted specifically at those who prescribe for older patients would appear to be highly relevant. Numerous studies have investigated the impact of different educational approaches on the quality of prescribing in older patients, with mixed results. In general, interactive approaches with direct feedback that target multiple disciplines[53,95,96] are more effective than passive approaches involving didactic lectures and written dissemination of educational and feedback material[97,98]. However, most of these studies pertain to specific drugs or drug classes, e.g., antibiotics[99], psychotropic drugs[100,101] analgesics[101] or avoidance of potentially inappropriate anticholinergic drugs[95]. The effect of educational interventions on broader measures of prescribing appropriateness and on health-related outcomes remains to be seen.

A recent systematic review investigated whether education interventions improved prescribing by undergraduate students and postgraduate junior physicians. No definitive answer was found. The trials included were small and flawed in their methodology. The better quality studies used the World Health Organization guide that directs students through a six-step problem-solving process when prescribing. Improvement in prescribing skills has been demonstrated in simulated environments. However, further research is required into the long-term benefits of such educational interventions[102].

Electronic prescribing and computerized alerts

Electronic prescribing systems provide user-guidance in relation to medication selection, dosage, price, potential interactions and need for monitoring[103,104]. They have the added potential of reducing prescribing errors of transcription when transferring between places of care, e.g., from hospital to community, or from community to nursing home thereby improving communication[105]. Though challenging and costly to install, these tools can be applied at the point of medication initiation with great potential to minimize ADEs[106].

Existing electronic prescribing systems have been developed for the general adult population and are not specifically refined for elderly patients with complex co-morbidities and altered pharmacokinetics and pharmacodynamics. Therefore, existing tools may not be suitable for use in older patients. Furthermore, physicians often over-ride the therapeutic flags generated by computerised systems[107] perhaps because many of them are perceived as being falsely positive or clinically unimportant, e.g., a sodium level only marginally below the laboratory reference range may be acceptable in clinical practice. If physicians are overloaded with computerised alerts, they are unlikely to respond to true high-risk safety situations. A disadvantage of computerised prescribing systems is that they are dependent on the quality of the computer programming. There have been reports that computerized decision support systems have themselves resulted in medication errors and related adverse drug events[107-109]. Therefore, computerized decision support systems should be used to enhance a prescribing decision or to flag a potentially inappropriate prescription but can never substitute a comprehensive clinical assessment.

Several exiting research projects are currently underway in Europe[110,111] and the United States[112], the aim being to develop software engines to optimize prescribing appropriateness and to investigate the clinical and economic impacts of their utilisation. A new Software ENgine for the Assessment and optimization of drug and non-drug Therapy in Older persons (SENATOR) trial is presently recruiting throughout seven European centres (http://www.senator-project.eu/). It will assess and optimise drug and non-drug therapy in older persons with multimorbidity and provide recommendations to the attending clinician. The software engine aims to simultaneously reduce inappropriate prescribing, ADRs, and costs alongside optimising medications.

CONCLUSION

Prescribing for older patients presents many unique challenges. Prescribers must be aware of the key pharmacological differences in older people and the principal domains of prescribing appropriateness as described in this paper. Criteria are available to assist prescribers in appropriate decision making, but cannot replace good clinical judgment and cannot be applied in a “one size fits all” manner. Data are limited as to the health-outcome and economic effects of prescribing appropriateness criteria, but important research is ongoing into these areas. Continuous prescriber education at undergraduate and postgraduate level and regular audit of prescribing practice is very important. CGA and clinical pharmacist input are clearly of benefit in optimizing prescribing appropriateness, particularly in hospitalised older patients. However, these interventions are resource intensive. Exciting research into computerized prescribing supports for older people is ongoing. Finally, more older patients with complex co-morbidities should participate in clinical trials to ensure that evidence-based practice and guideline development is based on the testing and use of drugs in representative populations.

Footnotes

P- Reviewer: Baba H, Guan YS, M’Koma A, Yanev SG S- Editor: Tian YL L- Editor: A E- Editor: Wu HL

References
1.  United Nations. World Population Ageing 2013.  Available from: http://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2013.pdf.  [PubMed]  [DOI]  [Cited in This Article: ]
2.  Chrischilles EA, Foley DJ, Wallace RB, Lemke JH, Semla TP, Hanlon JT, Glynn RJ, Ostfeld AM, Guralnik JM. Use of medications by persons 65 and over: data from the established populations for epidemiologic studies of the elderly. J Gerontol. 1992;47:M137-M144.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 163]  [Cited by in F6Publishing: 152]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
3.  National Centre for Health Statistics Health, United States, 2013: With Special Feature on Prescription Drugs. Hyattsville (MD): National Center for Health Statistics (US) 2014; .  [PubMed]  [DOI]  [Cited in This Article: ]
4.  O’Connor K, O’Mahony D. Drugs and Ageing. Medicine for older patients: cases and practice. Dublin, Ireland: Eireann Healthcare Publications 2003; 205.  [PubMed]  [DOI]  [Cited in This Article: ]
5.  Wynne HA, Blagburn J. Drug treatment in an ageing population: practical implications. Maturitas. 2010;66:246-250.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 27]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
6.  Richardson K, Moore P, Pekdar J, Galvin R, Bennett K, Kenny RA.  The Irish Longitudinal Study on Ageing. Polypharmacy in adults over 50 in Ireland: Opportunities for cost saving and improved healthcare [accessed 2012; Dec] Available from: http://tilda.tcd.ie/assets/pdf/PolypharmacyReport.pdf.  [PubMed]  [DOI]  [Cited in This Article: ]
7.  Qato DM, Alexander GC, Conti RM, Johnson M, Schumm P, Lindau ST. Use of prescription and over-the-counter medications and dietary supplements among older adults in the United States. JAMA. 2008;300:2867-2878.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 686]  [Cited by in F6Publishing: 634]  [Article Influence: 39.6]  [Reference Citation Analysis (0)]
8.  Hanlon JT, Fillenbaum GG, Ruby CM, Gray S, Bohannon A. Epidemiology of over-the-counter drug use in community dwelling elderly: United States perspective. Drugs Aging. 2001;18:123-131.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 51]  [Cited by in F6Publishing: 46]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
9.  Cheung CK, Wyman JF, Halcon LL. Use of complementary and alternative therapies in community-dwelling older adults. J Altern Complement Med. 2007;13:997-1006.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 149]  [Cited by in F6Publishing: 155]  [Article Influence: 9.7]  [Reference Citation Analysis (0)]
10.  Wu CH, Wang CC, Kennedy J. Changes in herb and dietary supplement use in the U.S. adult population: a comparison of the 2002 and 2007 National Health Interview Surveys. Clin Ther. 2011;33:1749-1758.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 115]  [Cited by in F6Publishing: 120]  [Article Influence: 9.2]  [Reference Citation Analysis (0)]
11.  Meyer BR. Clinical pharmacology and ageing. Oxford textbook of geriatric medicine. 2nd ed. Oxford: Oxford University Press 2003; 127-136.  [PubMed]  [DOI]  [Cited in This Article: ]
12.  Resnick NM. Geriatric medicine. Harrison’s principles of internal medicine, vol 1. 14th ed. New York: McGraw-Hill Companies Inc 1998; 37-46.  [PubMed]  [DOI]  [Cited in This Article: ]
13.  Woodhouse KW, Wynne HA. Age-related changes in liver size and hepatic blood flow. The influence on drug metabolism in the elderly. Clin Pharmacokinet. 1988;15:287-294.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 102]  [Cited by in F6Publishing: 109]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
14.  Mangoni AA, Jackson SH. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol. 2004;57:6-14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1106]  [Cited by in F6Publishing: 1057]  [Article Influence: 52.9]  [Reference Citation Analysis (0)]
15.  Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31-41.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10672]  [Cited by in F6Publishing: 10850]  [Article Influence: 226.0]  [Reference Citation Analysis (0)]
16.  Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130:461-470.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11183]  [Cited by in F6Publishing: 11666]  [Article Influence: 466.6]  [Reference Citation Analysis (0)]
17.  Corsonello A, Pedone C, Corica F, Mussi C, Carbonin P, Antonelli Incalzi R. Concealed renal insufficiency and adverse drug reactions in elderly hospitalized patients. Arch Intern Med. 2005;165:790-795.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 128]  [Cited by in F6Publishing: 134]  [Article Influence: 7.1]  [Reference Citation Analysis (0)]
18.  Bushardt RL, Massey EB, Simpson TW, Ariail JC, Simpson KN. Polypharmacy: misleading, but manageable. Clin Interv Aging. 2008;3:383-389.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 253]  [Cited by in F6Publishing: 283]  [Article Influence: 17.7]  [Reference Citation Analysis (0)]
19.  Hanlon JT, Schmader KE, Ruby CM, Weinberger M. Suboptimal prescribing in older inpatients and outpatients. J Am Geriatr Soc. 2001;49:200-209.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 299]  [Cited by in F6Publishing: 291]  [Article Influence: 12.7]  [Reference Citation Analysis (0)]
20.  Holbrook AM, Pereira JA, Labiris R, McDonald H, Douketis JD, Crowther M, Wells PS. Systematic overview of warfarin and its drug and food interactions. Arch Intern Med. 2005;165:1095-1106.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 767]  [Cited by in F6Publishing: 722]  [Article Influence: 38.0]  [Reference Citation Analysis (0)]
21.  Juurlink DN, Mamdani MM, Kopp A, Rochon PA, Shulman KI, Redelmeier DA. Drug-induced lithium toxicity in the elderly: a population-based study. J Am Geriatr Soc. 2004;52:794-798.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 118]  [Cited by in F6Publishing: 123]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
22.  Shorr RI, Ray WA, Daugherty JR, Griffin MR. Concurrent use of nonsteroidal anti-inflammatory drugs and oral anticoagulants places elderly persons at high risk for hemorrhagic peptic ulcer disease. Arch Intern Med. 1993;153:1665-1670.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 187]  [Cited by in F6Publishing: 157]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
23.  Battistella M, Mamdami MM, Juurlink DN, Rabeneck L, Laupacis A. Risk of upper gastrointestinal hemorrhage in warfarin users treated with nonselective NSAIDs or COX-2 inhibitors. Arch Intern Med. 2005;165:189-192.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 109]  [Cited by in F6Publishing: 116]  [Article Influence: 6.1]  [Reference Citation Analysis (0)]
24.  Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA. 2003;289:1652-1658.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 502]  [Cited by in F6Publishing: 508]  [Article Influence: 24.2]  [Reference Citation Analysis (0)]
25.  Onder G, Pedone C, Landi F, Cesari M, Della Vedova C, Bernabei R, Gambassi G. Adverse drug reactions as cause of hospital admissions: results from the Italian Group of Pharmacoepidemiology in the Elderly (GIFA). J Am Geriatr Soc. 2002;50:1962-1968.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 348]  [Cited by in F6Publishing: 326]  [Article Influence: 14.8]  [Reference Citation Analysis (0)]
26.  Goldberg RM, Mabee J, Chan L, Wong S. Drug-drug and drug-disease interactions in the ED: analysis of a high-risk population. Am J Emerg Med. 1996;14:447-450.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 213]  [Cited by in F6Publishing: 222]  [Article Influence: 7.9]  [Reference Citation Analysis (0)]
27.  Frank C, Godwin M, Verma S, Kelly A, Birenbaum A, Seguin R, Anderson J. What drugs are our frail elderly patients taking? Do drugs they take or fail to take put them at increased risk of interactions and inappropriate medication use? Can Fam Physician. 2001;47:1198-1204.  [PubMed]  [DOI]  [Cited in This Article: ]
28.  Prins MC, Drenth-van Maanen AC, Kok RM, Jansen PA. Use of a structured medication history to establish medication use at admission to an old age psychiatric clinic: a prospective observational study. CNS Drugs. 2013;27:963-969.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 18]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
29.  Gurwitz JH, Field TS, Harrold LR, Rothschild J, Debellis K, Seger AC, Cadoret C, Fish LS, Garber L, Kelleher M. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. JAMA. 2003;289:1107-1116.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1112]  [Cited by in F6Publishing: 1058]  [Article Influence: 50.4]  [Reference Citation Analysis (0)]
30.  Tamblyn RM, McLeod PJ, Abrahamowicz M, Laprise R. Do too many cooks spoil the broth? Multiple physician involvement in medical management of elderly patients and potentially inappropriate drug combinations. CMAJ. 1996;154:1177-1184.  [PubMed]  [DOI]  [Cited in This Article: ]
31.  Beard K. Adverse reactions as a cause of hospital admission in the aged. Drugs Aging. 1992;2:356-367.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 86]  [Cited by in F6Publishing: 95]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
32.  Lindblad CI, Hanlon JT, Gross CR, Sloane RJ, Pieper CF, Hajjar ER, Ruby CM, Schmader KE. Clinically important drug-disease interactions and their prevalence in older adults. Clin Ther. 2006;28:1133-1143.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 88]  [Cited by in F6Publishing: 83]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
33.  Lindblad CI, Artz MB, Pieper CF, Sloane RJ, Hajjar ER, Ruby CM, Schmader KE, Hanlon JT. Potential drug-disease interactions in frail, hospitalized elderly veterans. Ann Pharmacother. 2005;39:412-417.  [PubMed]  [DOI]  [Cited in This Article: ]
34.  Chin MH, Wang LC, Jin L, Mulliken R, Walter J, Hayley DC, Karrison TG, Nerney MP, Miller A, Friedmann PD. Appropriateness of medication selection for older persons in an urban academic emergency department. Acad Emerg Med. 1999;6:1232-1242.  [PubMed]  [DOI]  [Cited in This Article: ]
35.  Giron MS, Wang HX, Bernsten C, Thorslund M, Winblad B, Fastbom J. The appropriateness of drug use in an older nondemented and demented population. J Am Geriatr Soc. 2001;49:277-283.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
36.  Gosney M, Tallis R. Prescription of contraindicated and interacting drugs in elderly patients admitted to hospital. Lancet. 1984;2:564-567.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 96]  [Cited by in F6Publishing: 108]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
37.  Hanlon JT, Schmader KE, Boult C, Artz MB, Gross CR, Fillenbaum GG, Ruby CM, Garrard J. Use of inappropriate prescription drugs by older people. J Am Geriatr Soc. 2002;50:26-34.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 120]  [Cited by in F6Publishing: 124]  [Article Influence: 5.6]  [Reference Citation Analysis (0)]
38.  Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, Hanlon JT. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet. 2007;370:173-184.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 730]  [Cited by in F6Publishing: 719]  [Article Influence: 42.3]  [Reference Citation Analysis (0)]
39.  Willcox SM, Himmelstein DU, Woolhandler S. Inappropriate drug prescribing for the community-dwelling elderly. JAMA. 1994;272:292-296.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 70]  [Cited by in F6Publishing: 70]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
40.  Ennis KJ, Reichard RA. Maximizing drug compliance in the elderly. Tips for staying on top of your patients’ medication use. Postgrad Med. 1997;102:211-213, 218, 223-224.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 21]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
41.  Hamilton H, Gallagher P, Ryan C, Byrne S, O’Mahony D. Potentially inappropriate medications defined by STOPP criteria and the risk of adverse drug events in older hospitalized patients. Arch Intern Med. 2011;171:1013-1019.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 381]  [Cited by in F6Publishing: 371]  [Article Influence: 28.5]  [Reference Citation Analysis (0)]
42.  Lindley CM, Tully MP, Paramsothy V, Tallis RC. Inappropriate medication is a major cause of adverse drug reactions in elderly patients. Age Ageing. 1992;21:294-300.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 251]  [Cited by in F6Publishing: 264]  [Article Influence: 8.3]  [Reference Citation Analysis (0)]
43.  Lund BC, Carnahan RM, Egge JA, Chrischilles EA, Kaboli PJ. Inappropriate prescribing predicts adverse drug events in older adults. Ann Pharmacother. 2010;44:957-963.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 140]  [Cited by in F6Publishing: 154]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
44.  Page RL, Ruscin JM. The risk of adverse drug events and hospital-related morbidity and mortality among older adults with potentially inappropriate medication use. Am J Geriatr Pharmacother. 2006;4:297-305.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 126]  [Cited by in F6Publishing: 133]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
45.  Hanlon JT, Schmader KE. What types of inappropriate prescribing predict adverse drug reactions in older adults? Ann Pharmacother. 2010;44:1110-1111.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 11]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
46.  Liu CL, Peng LN, Chen YT, Lin MH, Liu LK, Chen LK. Potentially inappropriate prescribing (IP) for elderly medical inpatients in Taiwan: a hospital-based study. Arch Gerontol Geriatr. 2012;55:148-151.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 61]  [Cited by in F6Publishing: 59]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
47.  Rochon PA, Berger PB, Gordon M. The evolution of clinical trials: inclusion and representation. CMAJ. 1998;159:1373-1374.  [PubMed]  [DOI]  [Cited in This Article: ]
48.  Gallagher P, O’Mahony D. STOPP (Screening Tool of Older Persons’ potentially inappropriate Prescriptions): application to acutely ill elderly patients and comparison with Beers’ criteria. Age Ageing. 2008;37:673-679.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 454]  [Cited by in F6Publishing: 448]  [Article Influence: 28.0]  [Reference Citation Analysis (0)]
49.  Rochon PA, Gurwitz JH. Prescribing for seniors: neither too much nor too little. JAMA. 1999;282:113-115.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 70]  [Cited by in F6Publishing: 76]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
50.  Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke. 1991;22:983-988.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4767]  [Cited by in F6Publishing: 4908]  [Article Influence: 148.7]  [Reference Citation Analysis (0)]
51.  Lake FR, Cullen KJ, de Klerk NH, McCall MG, Rosman DL. Atrial fibrillation and mortality in an elderly population. Aust N Z J Med. 1989;19:321-326.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 144]  [Cited by in F6Publishing: 156]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
52.  Furberg CD, Psaty BM, Manolio TA, Gardin JM, Smith VE, Rautaharju PM. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am J Cardiol. 1994;74:236-241.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 752]  [Cited by in F6Publishing: 700]  [Article Influence: 23.3]  [Reference Citation Analysis (0)]
53.  Elliott RA, Woodward MC, Oborne CA. Antithrombotic prescribing in atrial fibrillation: application of a prescribing indicator and multidisciplinary feedback to improve prescribing. Age Ageing. 2002;31:391-396.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 13]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
54.  Galvin R, Moriarty F, Cousins G, Cahir C, Motterlini N, Bradley M, Hughes CM, Bennett K, Smith SM, Fahey T. Prevalence of potentially inappropriate prescribing and prescribing omissions in older Irish adults: findings from The Irish LongituDinal Study on Ageing study (TILDA). Eur J Clin Pharmacol. 2014;70:599-606.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 59]  [Cited by in F6Publishing: 66]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
55.  Barry PJ, Gallagher P, Ryan C, O’mahony D. START (screening tool to alert doctors to the right treatment)--an evidence-based screening tool to detect prescribing omissions in elderly patients. Age Ageing. 2007;36:632-638.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 231]  [Cited by in F6Publishing: 213]  [Article Influence: 12.5]  [Reference Citation Analysis (0)]
56.  Sengstock D, Vaitkevicius P, Salama A, Mentzer RM. Under-prescribing and non-adherence to medications after coronary bypass surgery in older adults: strategies to improve adherence. Drugs Aging. 2012;29:93-103.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 19]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
57.  Murray MD, Morrow DG, Weiner M, Clark DO, Tu W, Deer MM, Brater DC, Weinberger M. A conceptual framework to study medication adherence in older adults. Am J Geriatr Pharmacother. 2004;2:36-43.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 130]  [Cited by in F6Publishing: 137]  [Article Influence: 6.9]  [Reference Citation Analysis (0)]
58.   Available from: http://www.gov.uk/government/organisations/medicines-and-healthcare-products-regulatory-agency.  [PubMed]  [DOI]  [Cited in This Article: ]
59.  Adverse Drug Events, Adverse Drug Reactions and Medication Errors. VA center for Medication Safety and VHA Pharmacy Benefits Management Strategic Healthcare Group and the Medical Advisory Panel Nov 2006.  Available from: http://www.va.gov/ms/professionals/medications/adverse_drug_reaction_faq.pdf.  [PubMed]  [DOI]  [Cited in This Article: ]
60.  Hanlon JT, Schmader KE, Koronkowski MJ, Weinberger M, Landsman PB, Samsa GP, Lewis IK. Adverse drug events in high risk older outpatients. J Am Geriatr Soc. 1997;45:945-948.  [PubMed]  [DOI]  [Cited in This Article: ]
61.  Hohl CM, Dankoff J, Colacone A, Afilalo M. Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department. Ann Emerg Med. 2001;38:666-671.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 315]  [Cited by in F6Publishing: 293]  [Article Influence: 12.7]  [Reference Citation Analysis (0)]
62.  O’Connor MN, Gallagher P, Byrne S, O’Mahony D. Adverse drug reactions in older patients during hospitalisation: are they predictable? Age Ageing. 2012;41:771-776.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 69]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
63.  Gurwitz JH, Field TS, Avorn J, McCormick D, Jain S, Eckler M, Benser M, Edmondson AC, Bates DW. Incidence and preventability of adverse drug events in nursing homes. Am J Med. 2000;109:87-94.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 428]  [Cited by in F6Publishing: 378]  [Article Influence: 15.8]  [Reference Citation Analysis (0)]
64.  Tangiisuran B, Wright J, Van der Cammen T, Rajkumar C. Adverse drug reactions in elderly: challenges in identification and improving preventative strategies. Age Ageing. 2009;38:358-359.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 36]  [Cited by in F6Publishing: 41]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
65.  Pirmohamed M, James S, Meakin S, Green C, Scott AK, Walley TJ, Farrar K, Park BK, Breckenridge AM. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. BMJ. 2004;329:15-19.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1921]  [Cited by in F6Publishing: 1876]  [Article Influence: 93.8]  [Reference Citation Analysis (0)]
66.  Rawlins MD, Thompson JP. Pathogenesis of adverse drug reactions. Textbook of adverse drug reactions. Oxford: Oxford University Press 1977; 44.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
67.  Campbell SM, Cantrill JA. Consensus methods in prescribing research. J Clin Pharm Ther. 2001;26:5-14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 126]  [Cited by in F6Publishing: 138]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
68.  Anderson GM, Beers MH, Kerluke K. Auditing prescription practice using explicit criteria and computerized drug benefit claims data. J Eval Clin Pract. 1997;3:283-294.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 45]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
69.  Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. JAMA. 2005;294:716-724.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1606]  [Cited by in F6Publishing: 1533]  [Article Influence: 80.7]  [Reference Citation Analysis (1)]
70.  Beers MH, Ouslander JG, Rollingher I, Reuben DB, Brooks J, Beck JC. Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA Division of Geriatric Medicine. Arch Intern Med. 1991;151:1825-1832.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 846]  [Cited by in F6Publishing: 817]  [Article Influence: 24.8]  [Reference Citation Analysis (0)]
71.  Beers MH. Explicit criteria for determining potentially inappropriate medication use by the elderly. An update. Arch Intern Med. 1997;157:1531-1536.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 883]  [Cited by in F6Publishing: 815]  [Article Influence: 30.2]  [Reference Citation Analysis (0)]
72.  Fick DM, Cooper JW, Wade WE, Waller JL, Maclean JR, Beers MH. Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts. Arch Intern Med. 2003;163:2716-2724.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1666]  [Cited by in F6Publishing: 1572]  [Article Influence: 78.6]  [Reference Citation Analysis (0)]
73.  American Geriatrics Society 2012 Beers Criteria Update Expert Panel. American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012;60:616-631.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1524]  [Cited by in F6Publishing: 1452]  [Article Influence: 121.0]  [Reference Citation Analysis (0)]
74.  Gallagher P, Ryan C, Byrne S, Kennedy J, O’Mahony D. STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment). Consensus validation. Int J Clin Pharmacol Ther. 2008;46:72-83.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 978]  [Cited by in F6Publishing: 996]  [Article Influence: 62.3]  [Reference Citation Analysis (0)]
75.  Gallagher PF, O’Connor MN, O’Mahony D. Prevention of potentially inappropriate prescribing for elderly patients: a randomized controlled trial using STOPP/START criteria. Clin Pharmacol Ther. 2011;89:845-854.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 332]  [Cited by in F6Publishing: 341]  [Article Influence: 26.2]  [Reference Citation Analysis (0)]
76.  Hanlon JT, Schmader KE, Samsa GP, Weinberger M, Uttech KM, Lewis IK, Cohen HJ, Feussner JR. A method for assessing drug therapy appropriateness. J Clin Epidemiol. 1992;45:1045-1051.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 646]  [Cited by in F6Publishing: 640]  [Article Influence: 20.0]  [Reference Citation Analysis (0)]
77.  Samsa GP, Hanlon JT, Schmader KE, Weinberger M, Clipp EC, Uttech KM, Lewis IK, Landsman PB, Cohen HJ. A summated score for the medication appropriateness index: development and assessment of clinimetric properties including content validity. J Clin Epidemiol. 1994;47:891-896.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 224]  [Cited by in F6Publishing: 227]  [Article Influence: 7.6]  [Reference Citation Analysis (0)]
78.  Hajjar ER, Hanlon JT, Sloane RJ, Lindblad CI, Pieper CF, Ruby CM, Branch LC, Schmader KE. Unnecessary drug use in frail older people at hospital discharge. J Am Geriatr Soc. 2005;53:1518-1523.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 154]  [Cited by in F6Publishing: 147]  [Article Influence: 7.7]  [Reference Citation Analysis (0)]
79.  Hanlon JT, Artz MB, Pieper CF, Lindblad CI, Sloane RJ, Ruby CM, Schmader KE. Inappropriate medication use among frail elderly inpatients. Ann Pharmacother. 2004;38:9-14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 115]  [Cited by in F6Publishing: 119]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
80.  Lipton HL, Bero LA, Bird JA, McPhee SJ. The impact of clinical pharmacists’ consultations on physicians’ geriatric drug prescribing. A randomized controlled trial. Med Care. 1992;30:646-658.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 128]  [Cited by in F6Publishing: 137]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
81.  Steinman MA, Landefeld CS, Rosenthal GE, Berthenthal D, Sen S, Kaboli PJ. Polypharmacy and prescribing quality in older people. J Am Geriatr Soc. 2006;54:1516-1523.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 328]  [Cited by in F6Publishing: 341]  [Article Influence: 18.9]  [Reference Citation Analysis (0)]
82.  Blanco-Reina E, Ariza-Zafra G, Ocafia-Riola R, Leon-Ortiz M. 2012 American Geriatrics Society Beers criteria: enhanced applicability for detecting potentially inappropriate medications in European older adults? A comparison with the Screening Tool of Older Person’s Potentially inappropriate Prescriptions. J Am Geriatr Soc. 2014;62:1217-1223.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
83.  Pasina L, Djade CD, Tettamanti M, Franchi C, Salerno F, Corrao S, Marengoni A, Marcucci M, Mannucci PM, Nobili A. Prevalence of potentially inappropriate medications and risk of adverse clinical outcome in a cohort of hospitalized elderly patients: results from the REPOSI Study. J Clin Pharm Ther. 2014;39:511-515.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 49]  [Cited by in F6Publishing: 46]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
84.  Schmader KE, Hanlon JT, Pieper CF, Sloane R, Ruby CM, Twersky J, Francis SD, Branch LG, Lindblad CI, Artz M. Effects of geriatric evaluation and management on adverse drug reactions and suboptimal prescribing in the frail elderly. Am J Med. 2004;116:394-401.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 237]  [Cited by in F6Publishing: 231]  [Article Influence: 11.6]  [Reference Citation Analysis (0)]
85.  Saltvedt I, Spigset O, Ruths S, Fayers P, Kaasa S, Sletvold O. Patterns of drug prescription in a geriatric evaluation and management unit as compared with the general medical wards: a randomised study. Eur J Clin Pharmacol. 2005;61:921-928.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 56]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
86.  Crotty M, Halbert J, Rowett D, Giles L, Birks R, Williams H, Whitehead C. An outreach geriatric medication advisory service in residential aged care: a randomised controlled trial of case conferencing. Age Ageing. 2004;33:612-617.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 145]  [Cited by in F6Publishing: 149]  [Article Influence: 7.5]  [Reference Citation Analysis (0)]
87.  Strandberg TE, Pitkala KH, Berglind S, Nieminen MS, Tilvis RS. Multifactorial intervention to prevent recurrent cardiovascular events in patients 75 years or older: the Drugs and Evidence-Based Medicine in the Elderly (DEBATE) study: a randomized, controlled trial. Am Heart J. 2006;152:585-592.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 54]  [Cited by in F6Publishing: 58]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
88.  Holland R, Smith R, Harvey I. Where now for pharmacist led medication review? J Epidemiol Community Health. 2006;60:92-93.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 22]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
89.  Hanlon JT, Weinberger M, Samsa GP, Schmader KE, Uttech KM, Lewis IK, Cowper PA, Landsman PB, Cohen HJ, Feussner JR. A randomized, controlled trial of a clinical pharmacist intervention to improve inappropriate prescribing in elderly outpatients with polypharmacy. Am J Med. 1996;100:428-437.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 404]  [Cited by in F6Publishing: 402]  [Article Influence: 14.4]  [Reference Citation Analysis (0)]
90.  Crotty M, Rowett D, Spurling L, Giles LC, Phillips PA. Does the addition of a pharmacist transition coordinator improve evidence-based medication management and health outcomes in older adults moving from the hospital to a long-term care facility? Results of a randomized, controlled trial. Am J Geriatr Pharmacother. 2004;2:257-264.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 203]  [Cited by in F6Publishing: 217]  [Article Influence: 11.4]  [Reference Citation Analysis (0)]
91.  Spinewine A, Swine C, Dhillon S, Lambert P, Nachega JB, Wilmotte L, Tulkens PM. Effect of a collaborative approach on the quality of prescribing for geriatric inpatients: a randomized, controlled trial. J Am Geriatr Soc. 2007;55:658-665.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 215]  [Cited by in F6Publishing: 224]  [Article Influence: 13.2]  [Reference Citation Analysis (0)]
92.  Eleazer GP, Doshi R, Wieland D, Boland R, Hirth VA. Geriatric content in medical school curricula: results of a national survey. J Am Geriatr Soc. 2005;53:136-140.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 27]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
93.  Bragg EJ, Warshaw GA. ACGME requirements for geriatrics medicine curricula in medical specialties: progress made and progress needed. Acad Med. 2005;80:279-285.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 19]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
94.  Warshaw GA, Bragg EJ. The training of geriatricians in the United States: three decades of progress. J Am Geriatr Soc. 2003;51:S338-S345.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 33]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
95.  van Eijk ME, Avorn J, Porsius AJ, de Boer A. Reducing prescribing of highly anticholinergic antidepressants for elderly people: randomised trial of group versus individual academic detailing. BMJ. 2001;322:654-657.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 61]  [Cited by in F6Publishing: 74]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
96.  Stein CM, Griffin MR, Taylor JA, Pichert JW, Brandt KD, Ray WA. Educational program for nursing home physicians and staff to reduce use of non-steroidal anti-inflammatory drugs among nursing home residents: a randomized controlled trial. Med Care. 2001;39:436-445.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 55]  [Cited by in F6Publishing: 60]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
97.  Pimlott NJ, Hux JE, Wilson LM, Kahan M, Li C, Rosser WW. Educating physicians to reduce benzodiazepine use by elderly patients: a randomized controlled trial. CMAJ. 2003;168:835-839.  [PubMed]  [DOI]  [Cited in This Article: ]
98.  Fick DM, Maclean JR, Rodriguez NA, Short L, Heuvel RV, Waller JL, Rogers RL. A randomized study to decrease the use of potentially inappropriate medications among community-dwelling older adults in a southeastern managed care organization. Am J Manag Care. 2004;10:761-768.  [PubMed]  [DOI]  [Cited in This Article: ]
99.  Lutters M, Harbarth S, Janssens JP, Freudiger H, Herrmann F, Michel JP, Vogt N. Effect of a comprehensive, multidisciplinary, educational program on the use of antibiotics in a geriatric university hospital. J Am Geriatr Soc. 2004;52:112-116.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 65]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
100.  Crotty M, Whitehead C, Rowett D, Halbert J, Weller D, Finucane P, Esterman A. An outreach intervention to implement evidence based practice in residential care: a randomized controlled trial [ISRCTN67855475]. BMC Health Serv Res. 2004;4:6.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 57]  [Cited by in F6Publishing: 53]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
101.  Rahme E, Choquette D, Beaulieu M, Bessette L, Joseph L, Toubouti Y, LeLorier J. Impact of a general practitioner educational intervention on osteoarthritis treatment in an elderly population. Am J Med. 2005;118:1262-1270.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 29]  [Article Influence: 1.5]  [Reference Citation Analysis (0)]
102.  Ross S, Loke YK. Do educational interventions improve prescribing by medical students and junior doctors? A systematic review. Br J Clin Pharmacol. 2009;67:662-670.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 119]  [Cited by in F6Publishing: 122]  [Article Influence: 8.7]  [Reference Citation Analysis (0)]
103.  Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med. 2003;348:2526-2534.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 906]  [Cited by in F6Publishing: 743]  [Article Influence: 35.4]  [Reference Citation Analysis (0)]
104.  Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293:1223-1238.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1991]  [Cited by in F6Publishing: 1699]  [Article Influence: 89.4]  [Reference Citation Analysis (0)]
105.  Weiner M, Callahan CM, Tierney WM, Overhage JM, Mamlin B, Dexter PR, McDonald CJ. Using information technology to improve the health care of older adults. Ann Intern Med. 2003;139:430-436.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 58]  [Cited by in F6Publishing: 63]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
106.  Tamblyn R, Huang A, Perreault R, Jacques A, Roy D, Hanley J, McLeod P, Laprise R. The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care. CMAJ. 2003;169:549-556.  [PubMed]  [DOI]  [Cited in This Article: ]
107.  Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE, Strom BL. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293:1197-1203.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1341]  [Cited by in F6Publishing: 1130]  [Article Influence: 59.5]  [Reference Citation Analysis (0)]
108.  Zhan C, Hicks RW, Blanchette CM, Keyes MA, Cousins DD. Potential benefits and problems with computerized prescriber order entry: analysis of a voluntary medication error-reporting database. Am J Health Syst Pharm. 2006;63:353-358.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 87]  [Cited by in F6Publishing: 90]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
109.  Horsky J, Kuperman GJ, Patel VL. Comprehensive analysis of a medication dosing error related to CPOE. J Am Med Inform Assoc. 2005;12:377-382.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 123]  [Cited by in F6Publishing: 104]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
110.   Available from: http://www.senator-project.eu/.  [PubMed]  [DOI]  [Cited in This Article: ]
111.  University College Cork. Clinical Trial of a New Software ENgine for the Assessment & Optimization of Drug and Non-drug Therapy in Older peRsons (SENATOR). gov [Internet]. Bethesda (MD): National Library of Medicine (US). [updated 2014; Mar 28] Available from: https://clinicaltrials.gov/ct2/show/NCT02097654 NLM Identifier: NCT02097654.  [PubMed]  [DOI]  [Cited in This Article: ]
112.  ClinicalTrials ; Baystate Medical Center. Using Clinical Alerts to Decrease Inappropriate Medication Prescribing. gov [Internet]. Bethesda (MD): National Library of Medicine (US). [updated 2014; Mar 7] Available from: http://clinicaltrials.gov/ct2/show/NCT01034761 NLM Identifier: NCT01034761.  [PubMed]  [DOI]  [Cited in This Article: ]
113.  McLeod PJ, Huang AR, Tamblyn RM, Gayton DC. Defining inappropriate practices in prescribing for elderly people: a national consensus panel. CMAJ. 1997;156:385-391.  [PubMed]  [DOI]  [Cited in This Article: ]
114.  Naugler CT, Brymer C, Stolee P, Arcese ZA. Development and validation of an improving prescribing in the elderly tool. Can J Clin Pharmacol. 2000;7:103-107.  [PubMed]  [DOI]  [Cited in This Article: ]
115.  Zhan C, Sangl J, Bierman AS, Miller MR, Friedman B, Wickizer SW, Meyer GS. Potentially inappropriate medication use in the community-dwelling elderly: findings from the 1996 Medical Expenditure Panel Survey. JAMA. 2001;286:2823-2829.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 368]  [Cited by in F6Publishing: 372]  [Article Influence: 16.2]  [Reference Citation Analysis (0)]
116.  Laroche ML, Charmes JP, Merle L. Potentially inappropriate medications in the elderly: a French consensus panel list. Eur J Clin Pharmacol. 2007;63:725-731.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 352]  [Cited by in F6Publishing: 344]  [Article Influence: 20.2]  [Reference Citation Analysis (0)]
117.  Rancourt C, Moisan J, Baillargeon L, Verreault R, Laurin D, Grégoire JP. Potentially inappropriate prescriptions for older patients in long-term care. BMC Geriatr. 2004;4:9.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 94]  [Cited by in F6Publishing: 99]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
118.  Basger BJ, Chen TF, Moles RJ. Inappropriate medication use and prescribing indicators in elderly Australians: development of a prescribing indicators tool. Drugs Aging. 2008;25:777-793.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 94]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
119.  Rognstad S, Brekke M, Fetveit A, Spigset O, Wyller TB, Straand J. The Norwegian General Practice (NORGEP) criteria for assessing potentially inappropriate prescriptions to elderly patients. A modified Delphi study. Scand J Prim Health Care. 2009;27:153-159.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 176]  [Cited by in F6Publishing: 175]  [Article Influence: 11.7]  [Reference Citation Analysis (0)]
120.  Holt S, Schmiedl S, Thürmann PA. Potentially inappropriate medications in the elderly: the PRISCUS list. Dtsch Arztebl Int. 2010;107:543-551.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 109]  [Cited by in F6Publishing: 370]  [Article Influence: 26.4]  [Reference Citation Analysis (1)]
121.  Winit-Watjana W, Sakulrat P, Kespichayawattana J. Criteria for high-risk medication use in Thai older patients. Arch Gerontol Geriatr. 2008;47:35-51.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 53]  [Cited by in F6Publishing: 58]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]