Copyright
©The Author(s) 2016.
World J Crit Care Med. May 4, 2016; 5(2): 150-164
Published online May 4, 2016. doi: 10.5492/wjccm.v5.i2.150
Published online May 4, 2016. doi: 10.5492/wjccm.v5.i2.150
Table 1 Characteristics of the studies included in the systematic review
Ref. | Patients population and country | Year of publication | Refusal reasons | No. of deaths with ICU support out of total patients treated in ICU (% mortality) | No. of deaths without ICU support out of total patients not treated in ICU (% mortality) | Difference in mortality rates (%) | OR (95%CI) |
Frisho-Lima et al[20] | General, Israel | 1994 | Moribund, no beds | 7/62 (11.3) | 31/65 (47.7) | 36.4 | 7.16 (2.84-18.07) |
Metcalfe et al[21] | 6 general, United Kingdom | 1997 | Lack of beds or staff or other | 178/480 (37.1) | 75/165 (45.5) | 8.4 | 1.41 (0.99-2.02) |
Sprung et al[22] | General, Israel | 1999 | Too good or too poor prognosis, no beds, more data required, another crit. care area more appropriate | 51/321 (15.9) | 28/61 (45.9) | 30 | 4.49 (2.50-8.07) |
Joynt et al[23] | General, Hong Kong | 2001 | Triage, futility, inappropriate referral. | 142/388 (36.6) | 145/236 (61.4) | 24.8 | 2.76 (1.98-3.85) |
Garrouste-Oregas et al[24] | Medical and surgical, France | 2003 | too well/too sick | 46/189 (24.3) | 38/141 (27.0) | 2.6 | 1.15 (0.70-1.89) |
Simchen et al[25] | 5 ICUs. Medical and surgical, Israel | 2004 | All hospital patients screened | 80/190 (42.1) | 192/349 (55.0) | 12.9 | 1.68 (1.18-2.40) |
Garrouste-Oregas et al[12] | 4 medical and 7 general, France | 2005 | Too well/too sick, patients refusal, ICU occupied | 120/412 (29.1) | 49/128 (38.3) | 9.2 | 1.51 (1.00-2.29) |
Thiéry G et al[26] | Medical ICU, cancer patients 30 d mortality, France | 2005 | Too sick | 57/105 (54.3) | 39/54 (74.0) | 19.7 | 2.19 (1.08-4.45) |
Simchen et al[27] | 5 acute care hospitals, medical and surgical patients Israel | 2007 | Died > 24 h deteriorated on ward | 23/97 (23.7) | 44/169 (26.0) | 2.3 | 1.13 (0.63-2.02) |
Died < 24 h | 4/97 (4.1) | 55/414 (13.3) | 9.2 | 3.56 (1.26-10.08) | |||
Iapichino et al[28] | 11 university hospitals from 7 countries: Denmark, France, Israel, Italy, The Netherlands, Spain, United Kingdom | 2010 | 28 d mortality | 1482/6708 (22.1) | 197/600 (32.8) | 10.7 | 1.72 (1.44-2.06) |
Edbrooke et al[29] | 11 hospitals in 7 EU countries | 2011 | 28 d mortality | 1389/6312 (22.0) | 375/1137 (33.0) | 11.0 | 1.74 (1.52-2.00) |
Robert et al[30] | 10 medical ICUs, France | 2012 | Too good or too sick 28 d | 277/1,139 (24.3) | 58/193 (30.1) | 5.7 | 1.34 (0.96-1.87) |
Cabrini et al[31] | Early ICU transfer, medical patients | 2012 | Too well/too sick or lack of ICU beds | 6/15 (40.0) | 13/40 (32.5) | -7.5 | 0.72 (0.21-2.46) |
Italy | |||||||
Stelfox et al[32] | Canada, medical ICU | 2012 | Too well/too sick or lack of ICU beds | 1106/3245 (34.1) | 80/249 (32.1) | -2.0 | 0.92 (0.69-1.21) |
Total | 4968/19760 (25.1) | 1419/4001 (35.5) | 10.3 | 1.64 (1.52-1.76) |
Table 2 Patient characteristics
All n = 148 | 1 yr survivors | Dead after one year | P | ||
Age | |||||
Mean (SD) | 56 (17) | 49 (17) | 63 (15) | < 0.01a | |
Male (%) | 58.6 | 57.7 | 1b | ||
SAPSII | Mean (SD) | 51 (20) | 42 (19) | 59 (17) | < 0.001a |
Dg.(%) | |||||
Cardiac arrest | 16.9 | 18.6 | 15.4 | 0.17b | |
Cardiogenic shock | 1.4 | 0 | 2.6 | ||
Coma | 12.2 | 5.7 | 17.9 | ||
Status epilepticus. | 4.7 | 2.9 | 6.4 | ||
CHF | 3.4 | 4.3 | 2.6 | ||
Hypercapnic ARF | 10.1 | 10.0 | 10.3 | ||
Hypoxic ARF | 12.8 | 12.9 | 12.8 | ||
Intoxication | 9.5 | 15.7 | 3.8 | ||
Malignant neurolept.sy | 0.7 | 1.4 | 0 | ||
Neuromuscular ARF | 2.7 | 4.3 | 1.3 | ||
Other | 2 | 2.9 | 1.3 | ||
Renal/metabolic | 1.4 | 1.4 | 1.3 | ||
Sepsis (including shock) | 22.3 | 20.0 | 24.4 | ||
Other | 16.20% | 12.90% | 1.30% | ||
ICU LOS | |||||
Sum | 1474 | ||||
Median (IQR) | 6 (3-12) | 6 (4-16) | 5 (3-10) | 0.116c | |
28 d ICU free days | Median (IQR) | 0 (0-22) | 12.5 (0-23) | 0 (0-19) | 0.002c |
Ward LOS after ICU | |||||
Sum | 1694 | ||||
Median (IQR) | 14 (0-14) | 14 (13.75-15.25) | 0 (0-1.25) | < 0.001c | |
Mechanical ventilation | % | 80 | 74 | 87 | 0.097b |
Ventilator-free days at 28 d | Median (IQR) | 23 (18-25) | 23.5 (18-26) | 22 (18-25) | 0.150c |
Table 3 Distribution of responses to EQ-5D modalities at one year
Problems | n = 49 | % | |
Mobility | No | 25 | 51.0 |
Some | 22 | 44.9 | |
Severe | 2 | 4.10 | |
Self-care | No | 37 | 75.5 |
Some | 8 | 16.3 | |
Severe | 4 | 8.2 | |
Usual activities | |||
No | 13 | 26.5 | |
Some | 26 | 53.1 | |
Severe | 10 | 20.4 | |
Pain/discomfort | |||
No | 30 | 61.2 | |
Some | 14 | 28.6 | |
Severe | 5 | 10.2 | |
Anxiety/depression | |||
No | 27 | 55.1 | |
Some | 19 | 38.8 | |
Severe | 3 | 6.10 | |
VAS | 0.63 (0.56-0.70) |
Table 4 Costs, effects, incremental analysis of costs and effects and cost effectiveness ratio
Hospital treatment costs | Future costs (present value) | Total | |
Cost-ICU ($) | 410212 | 524432 | 934644 |
Cost-ward ($) | 234240 | 454158 | 688398 |
Incremental cost ($) | 175972 | 70274 | 246246 |
Effects-ICU (QALYs) | 567 | ||
Effects-ward (QALYs) | 4913 | ||
Incremental effects (QALYs) | 757 | ||
ICER ($/QALY) | 3254 |
- Citation: Cubro H, Somun-Kapetanovic R, Thiery G, Talmor D, Gajic O. Cost effectiveness of intensive care in a low resource setting: A prospective cohort of medical critically ill patients. World J Crit Care Med 2016; 5(2): 150-164
- URL: https://www.wjgnet.com/2220-3141/full/v5/i2/150.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v5.i2.150