Observational Study
Copyright ©The Author(s) 2025.
World J Crit Care Med. Mar 9, 2025; 14(1): 97006
Published online Mar 9, 2025. doi: 10.5492/wjccm.v14.i1.97006
Table 1 Rotated structure matrix for principal axis analysis with varimax rotation of six component questionnaire
Rotated component coefficients for components
1
2
3
4
5
6
Obtain informed consent0.785
Accurately inform patient’s family regarding patient’s condition0.711
Age influence on treatment0.883
Give priority to patient’s interests over other interests in the treatment plan0.410
Age influence on decision to access ventilator0.407
Sex influence on treatment0.302
Family member presence influence on treatment plan0.624
Patient’s financial status influence on treatment plan0.568
Time of arrival influence on treatment plan0.415
Maintain privacy of patient’s information0.538
Clinical research data collection influence on patient treatment0.500
Give accurate information about risk/ benefit of treatment plan0.416
Hospital policies and decisions helpful in treatment plan0.652
Hindrance of hospital policies and decisions on treatment plan0.427
Language influence treatment0.466
Social media information influence on treatment plan-0.385
Table 2 Demographic information of study participants

Frequency
Percentage
Sex
    Male7270.6
    Female3029.4
Age (years)
    31-35 76.9
    36-40 1312.7
    41-45 3231.4
    46-50 2019.6
    > 50 3029.4
Hospital department
    Emergency room32.9
    COVID ICU5755.9
    Non-COVID ICU1312.7
    Ward/floor2928.4
Table 3 Factors influencing clinical decision making (personal, family, financial, hospital administration and communication)

No influence
Very little influence
Moderate influence
One of the important factors
Most important factor
Patient-related factors
Age influence on treatment 14 (13.7)21 (20.6)33 (32.4)30 (29.4)4 (3.9)
Age influence on decision to access ventilator 24 (23.5)16 (15.7)36 (35.3)23 (22.5)3 (2.9)
Sex influence on treatment 90 (88.2)8 (7.8)2 (2)1 (1)1 (1)
Patient’s family and financial status-related factors
Patient’s financial status influence on treatment plan60 (58.8)15 (14.7)23 (22.5)3 (2.9)1 (1)
Family member presence influence on treatment plan47 (46.1)39 (38.2)9 (8.8)5 (4.9)2 (2)
Hospital administration-related factors
Time of arrival influence on treatment plan39 (38.2)18 (17.6)19 (18.6)21 (20.6)5 (4.9)
Hospital policies and decisions helpful in treatment plan 20 (19.6)31 (30.4)29 (28.4)16 (15.7)6 (5.9)
Hindrance of hospital policies and decisions in treatment plan41 (40.2)39 (38.2)16 (15.7)4 (3.9)2 (2)
Clinical research data collection influence on patient treatment 43 (42.2)30 (29.4)13 (12.7)8 (7.8)8 (7.8)
Communication-related factors
Social media information influence on treatment plan 59 (57.8)33 (32.4)9 (8.8)0 (0)1 (1)
Language influence on treatment 98 (96.1)3 (2.9)0 (0)0 (0)1 (1)
Table 4 Patient privacy and informed consent influence on clinical decision-making

Never
Mostly not
Sometimes
Mostly
Always
Accurately inform patient’s family regarding patient’s condition1 (1)0 (0)5 (4.9)44 (43.1)52 (51)
Obtain informed consent0 (0)1 (1)10 (9.8)45 (44.1)46 (45.1)
Give accurate information about risk/benefit of treatment plan0 (0)1 (1)8 (7.8)38 (37.3)55 (53.9)
Maintain privacy of patient’s information 0 (0)0 (0)0 (0)18 (17.6)84 (82.4)
Give priority to patient’s interests over other interests in the treatment plan2 (2)3 (2.9)6 (5.9)27 (26.5)66 (64.7)
Table 5 Influence of clinical work on health-care providers

Never
Mostly not
Sometimes
Mostly
Always
Clinical work affects professional relationships24 (23.5)36 (35.3)28 (27.5)13 (12.7)1 (1)
Clinical work affects family relationships19 (18.6)28 (27.5)27 (26.5)23 (22.5)5 (4.9)
Clinical work affects health18 (17.6)33 (32.4)33 (32.4)12 (11.8)6 (5.9)
Table 6 Differences in factors influencing critical decision-making and the impact of coronavirus disease 2019 on clinicians’ health and interpersonal relations when classified based on current place of residence

Developing country (n = 64)
Developed country (n = 38)
P value
Patient-related factors
Age influence on treatment 2.75 ± 1.113.13 ± 1.040.063
Age influence on decision to access ventilator 2.45 ± 1.173.00 ± 1.070.017
Sex influence on treatment 1.13 ± 0.421.29 ± 0.840.320
Patient’s family and financial status-related factors
Patient’s financial status influence on treatment plan1.95 ± 0.971.50 ± 0.830.001
Family member presence influence on treatment plan2.08 ± 0.971.13 ± 0.670.007
Hospital administration-related factors
Time of arrival influence on treatment plan2.53 ± 1.272.08 ± 1.340.076
Hospital policies and decisions helpful in treatment plan 2.73 ± 1.142.32 ± 1.120.064
Hindrance of hospital policies and decisions in treatment plan1.83 ± 0.952.00 ± 0.930.247
Clinical research data collection influence on patient treatment 2.13 ± 1.252.05 ± 1.270.770
Communication-related factors
Social media information influence on treatment plan 1.53 ± 0.691.55 ± 0.830.918
Language influence on treatment 1.02 ± 0.131.16 ± 0.680.110
Patient privacy and informed consent
Accurately inform patient’s family regarding patient’s condition3.55 ± 0.623.26 ± 0.640.018
Obtain informed consent3.48 ± 0.713.08 ± 0.590.001
Give accurate information about risk/benefit of treatment plan3.53 ± 0.673.29 ± 0.690.057
Maintain privacy of patient’s information 1.78 ± 0.421.89 ± 0.310.148
Give priority to patient’s interest over other interests in the treatment plan4.56 ± 0.794.45 ± 0.760.286
Effect on health and interpersonal relationships
Clinical work affects professional relationships2.13 ± 0.922.66 ± 1.070.014
Clinical work affects family relationships2.56 ± 1.152.87 ± 1.170.196
Clinical work affects health2.69 ± 1.052.34 ± 1.150.092