Skip to main content
Medical Journal, Armed Forces India logoLink to Medical Journal, Armed Forces India
. 2022 Oct 4;80(3):335–345. doi: 10.1016/j.mjafi.2022.08.012

Physician empathy during crisis: A survey of doctors in COVID-19 pandemic (COPE study)

Antonieo Jude Raja B a, Sriambika K b, Ketki Khandhadiya c, Chandra Sekara Guru d,, Uma Mahajan e
PMCID: PMC9529356  PMID: 36212186

Abstract

Background

There is a lack of research studies on physician empathy levels towards patients, which is a critical component of providing high-quality patient-care and satisfaction. Our study aimed at assessing the physician-reported empathy levels towards patients during a crisis like the ongoing COVID-19 pandemic.

Methods

Cross-sectional online-based survey was conducted among 409 practicing doctors from varied healthcare levels during the pandemic. We used a validated Jefferson Physician's Empathy (JPE) - Health Professional (HP) version questionnaire. Empathy score was expressed as a median and interquartile range, and the analysis was done in STATA 12.1 (StataCorp LP, Texas, USA).

Results

Among the survey respondents, 55% were between 26–35 years, 56% were from the government health sector, and 57% were male doctors. Overall physicians’ empathy score was 100 (89, 113). The empathy score among physicians engaged in OPD duty was significantly higher (p = 0.022). A total of 70.0% of physicians consulting more than 50 patients/day reported a score ≤105 (p = 0.035). Physicians aged more than 40 years (AOR = 2.545, 95% CI = 1.1133, 5.8184) and those working in government healthcare centers (AOR = 2.711, 95% CI = 1.1372, 6.4616) were about three times more likely to have a score >105 compared to younger physicians (p = 0.027) and private practitioners (p = 0.024).

Conclusion

Physician-reported empathy scores during the COVID pandemic were high. Middle-aged physicians involved in OPD consultation and those working in government healthcare recorded good scores. However, reporting lower empathy scores when the patient load increases highlights the need for administrative and medical education interventions.

Keywords: Empathy, Medical education, Behaviour medicine, Patient-centered care, Healthcare delivery

Introduction

Empathy is an important factor in doctor-patient encounters for better patient-care delivery.1 Empathy is sharing the perspective of the patient's concern and being able to comfort the suffering patient.1,2 Empathy has been found to improve patient satisfaction, reduce medical errors, and provide effective pain management, and hence an important consideration for treating physicians. Empathy keeps the physician grounded in patient-care amidst the limitations and challenges of workload and documentation pressures.2

However, several factors like job satisfaction, burn-out, moral distress, economic pressures, work culture, and lack of adequate compassion and training have been attributed to low empathy levels among physicians.3 Low empathy levels and uncompassionate patient-care have been attributed to not only low patient satisfaction levels but also detrimental economic and public image consequences for physicians.3 On the contrary, high empathy levels are associated with better patient satisfaction and quality drug prescription.1,4

COVID-19 has created a major impact on the healthcare delivery system at all levels.5 Studies have shown that empathy levels among physicians decrease with burn-out.6 The effect of crisis like COVID-19 pandemic on the self-reported physician empathy for patients has not been studied. Hence, this online-based cross-sectional survey was aimed at assessing the physician-reported empathy levels toward patients during the COVID-19 pandemic. The secondary objective was to determine the association between physician sympathy scores and various bio-socio demographic factors.

Materials and methods

Study design and subjects

The cross-sectional online-based survey was conducted among practicing doctors from different healthcare sectors between January 15, 2021 and March 31, 2021. The sample size was calculated using the formula n=({Z_(1/2)ˆ2P(1P)}/dˆ2) where n = number of physicians needed for carrying out the study, P = Empathy in physicians (50%) = 0.50, d = absolute precision (5%) = 0.05, = level of statistical significance = 0.05, and Z1/22 = 1.96.7 So the required sample size was 384. The study participants were practicing medical intern doctors, post-graduate medical resident doctors, and practicing medical doctors, including specialists and non-specialists.

Ethical consideration

The digital version of the questionnaire (Google form) was circulated using various platforms. Active participation in the survey and submitting the response were taken as consent to participate in the study. Exclusion of duplicate entries/responses was made using the respondent's email address. To maintain the confidentiality and anonymity of the collected data, a separate account was created for the study. Submission of an incomplete survey was not possible due to an inbuilt function of the survey. Ethical clearance for the study was taken from the institute ethics committee (RC/2020/85 dated January 28, 2021).

Questionnaire

The anonymous questionnaire consisted of two parts. The first part included basic demographic details, such as age, gender, level of medical education, present clinical practicing status, designation, location and level of the health sector of practice, number of patients consulted per day, nature of patient-care COVID duties, and whether they are getting support from paramedical staff and administration in providing patient-care during COVID-19. The second part consisted of an assessment of the self-reported physician empathy using the validated Jefferson Physician's Empathy (JPE) - Health Professional (HP) version questionnaire in English.8 Permission to use the scale was obtained from Thomas Jefferson University for this study. The Jefferson Physician empathy scale consisted of 20 questions on a Likert scale of 1–7. Ten items were reverse coded, and the total score of all the 20 questions gives the physician empathy score. The score ranges between 20 and 140. A higher score suggests a better behavioral orientation of physician empathy for patients. Ten items of the physician's empathy scale (1, 3, 6, 7, 8, 11, 12, 14, 18, and 19) were reverse coded as per the scale manual provided by Thomas Jefferson University.8,9 Any participant responded less than 16 questions is regarded as incomplete and excluded from the study as per the scoring protocol. The total score of all the 20 scale items is calculated as the empathy score.

Statistical analysis

The reliability of the scale with 20 items was assessed using Cronbach's alpha (α) and was high (α = 0.784). Hence, all 20 items of the scale were used for the analysis. The normality of the empathy score was tested using Shapiro–Wilk's test. The empathy score was not normally distributed (p-value = 0.002); hence, the score was further categorized into two categories, namely ≤105, and >105. The continuous variables were summarized using median and interquartile range (IQR), while categorical variables were described using frequencies and percentages. Mann–Whitney U test and Kruskal–Wallis test were used to study the differences in median empathy scores across various demographic characteristics of physicians. The chi-square test of independence was used to test the physician's characteristics associated with the empathy score categories. The univariate and multiple logistic regression models were developed to identify the demographic and patient-care characteristics associated with the physician's empathy. The characteristics with a p-value ≤ 0.10 were retained in the final multiple logistic regression model. The age and gender of the physicians were considered as the a priori variables in the model. The odds ratios (OR) and the adjusted odds ratios (AOR), along with 95% confidence intervals (95% CI) were reported in univariate and multiple logistic regression, respectively. Statistical significance was set at a p-value ≤ 0.05. All the data analysis was done in STATA 12.1 (StataCorp LP, Texas, USA).

Results

About 409 practicing physicians participated in the online survey. After duplicate entry removal, 387 responses were included for the analysis. Fig. 1 shows the flowchart of survey respondents. Table 1 describes the profile of the respondent physicians. Patient-care factors during COVID-19, namely nature of patient-care duties, patients consulted per day, support from paramedical staff, and support from the administration during the pandemic are tabulated (Table 2). The physician's median empathy score was 100 (IQR = 89, 113) and about 40% of the physicians reported an empathy score of >105, i.e., beyond the third quartile (score of 105–140).

Fig. 1.

Fig. 1

Flowchart of survey respondents.

Table 1.

Profile of respondent physicians.

Profile of respondent physicians n (%)
Total physicians 387 (100)
Age group (years)
 20 – 25 60 (15.5)
 26 – 30 115 (29.7)
 31 – 35 99 (25.6)
 36 – 40 66 (17.1)
 41 – 45 17 (4.4)
 46 – 50 13 (3.4)
 51 – 55 8 (2.1)
 56 – 60 2 (0.5)
 > 60 7 (1.8)
Gender
 Male 222 (57.4)
 Female 165 (42.6)
Education
 CRRI/intern 16 (4.1)
 MBBS 145 (37.5)
 Diploma 15 (3.9)
 MD/equivalent 182 (47)
 DM/equivalent 23 (5.9)
 PhD 1 (0.3)
 Post-doctoral 3 (0.8)
 Other 2 (0.5)
Health sector
 Government 218 (56.3)
 Private 169 (43.7)
Level of the healthcare system
 Government primary healthcare center/equivalent 42 (10.9)
 Government secondary healthcare center/equivalent 51 (13.2)
 Government medical college 76 (19.6)
 Corporate hospital 34 (8.8)
 Tertiary care hospital/equivalent 148 (38.2)
 Private practice 36 (9.3)
Designation
 CRRI/intern 29 (7.5)
 Medical officer 99 (25.6)
 Junior resident 73 (18.9)
 Senior resident 48 (12.4)
 Assistant professor 40 (10.3)
 Junior consultant 32 (8.3)
 Senior consultant 25 (6.5)
 Associate professor 21 (5.4)
 Professor 20 (5.2)

Table 2.

Patient-care factors during COVID-19.

Factors n (%)
Nature of patient-care duty during COVID-19
 Ward duties (inpatient care) 232 (59.9)
 Intensive care unit (intensive care) 153 (39.5)
 Out-patient department (outpatient care) 257 (66.4)
 Contact tracing 109 (28.2)
 Administration 127 (32.8)
 Laboratory (lab services) 53 (13.7)
No. of patients consulted (per day)
 <10 102 (26.4)
 11–49 195 (50.4)
 50–99 59 (15.2)
 100–149 14 (3.6)
 150–199 9 (2.3)
 >200 8 (2.1)
Adequate support of paramedical staff/HCW
 No 55 (14.2)
 Yes 268 (69.3)
 Maybe 64 (16.5)
Adequate support from the administration
 No 65 (16.8)
 Yes 243 (62.8)
 Maybe 79 (20.4)

The median empathy score and the two empathy score categories (<105 and >105) did not differ statistically with the profile of the physicians, namely age, gender, medical education, specialty, the health sector of practice, level of healthcare, and designation (Table 3). However, there was a significant association between the patient-care factors and median empathy score (Table 4). The median empathy score was 102 (IQR = 91, 113) for the physicians who engaged in OPD duty and was significantly higher than the physicians who did not engage in OPD duty (p = 0.022). The empathy score was significantly decreased with the higher volume of patients consulted per day. In physicians who were consulting <50 patients and ≥50 patients per day, the median score was 102 (IQR = 91, 113) and 95 (IQR = 86, 110), respectively (p-value = 0.020). In the case of physicians who were consulting ≥50 patients per day, more than two-thirds (70.0%) of them reported an empathy score of ≤105 compared to 30% of physicians with an empathy score of >105 (p-value = 0.035). More than 60% of physicians mentioned that they had adequate support from administration and paramedical staff, and these factors did not significantly affect the empathy scores (Table 4).

Table 3.

Physicians’ profile and empathy score.

Physicians profile No. of physicians
Empathy score categories
Empathy score
≤105
>105
p-value Median (IQR) p-value
N n (%) n (%)
All physicians 387 234 (60.5) 153 (39.5) 100 (89, 113)
Age (years) 0.123 0.148
 20–25 years 60 40 (66.7) 20 (33.3) 99.5 (88, 109)
 26–30 years 115 73 (63.5) 42 (36.5) 99 (89, 112)
 31–35 years 99 63 (63.6) 36 (36.4) 100 (91, 111)
 36–40 years 66 37 (56.1) 29 (43.9) 101 (84, 114)
 > 40 years 47 21 (44.7) 26 (55.3) 107 (93, 122)
Gender 0.497 0.699
 Male 222 131 (59.0) 91 (41.0) 100 (89, 113)
 Female 165 103 (62.4) 62 (37.6) 101 (91, 113)
Education 0.590 0.753
 Up to MBBS/diploma 176 109 (61.9) 67 (38.1) 101 (89, 113)
 MD or above 211 125 (59.2) 86 (40.8) 100 (89, 113)
Health sector 0.223 0.313
 Government 218 126 (57.8) 92 (42.2) 101.5 (89, 113)
 Private 169 108 (63.9) 61 (36.1) 99 (89, 112)
Level of health sector 0.129 0.166
 Private practice 36 25 (69.4) 11 (30.6) 98 (90.5, 108.5)
 Govt PHC/SHC 93 48 (51.6) 45 (48.4) 105 (92, 114)
 Govt medical college 76 51 (67.1) 25 (32.9) 97.5 (87, 110.5)
 Corporate/tertiary care hospital 182 110 (60.4) 72 (39.6) 101 (90, 113)
Designation 0.079 0.071
 Intern/resident 150 100 (66.7) 50 (33.3) 99 (87, 110)
 Medical officer 99 52 (52.5) 47 (47.5) 103 (92, 117)
 Consultant/professor 138 82 (59.4) 56 (40.6) 101 (91, 113)

Note: ∗statistically significant; IQR – interquartile range; PHC – primary health center; SHC – secondary health center.

Table 4.

Patient-care factors during COVID-19 and physicians’ empathy score.

Patient-care factors during COVID-19 No. of physicians
Empathy score categories
Empathy score
≤105
>105
p-value Median (IQR) p-value
N n (%) n (%)
Nature of patient-care duties
Ward duty 0.225 0.317
 No 155 88 (56.8) 67 (43.2) 102 (88, 115)
 Yes 232 146 (62.9) 86 (37.1) 99 (89.5, 110.5)
ICU duty 0.752 0.272
 No 234 140 (59.8) 94 (40.2) 101 (90, 113)
 Yes 153 94 (61.4) 59 (38.6) 99 (87, 111)
Out-patient care duty 0.065 0.022a
 No 130 87 (66.9) 43 (33.1) 97 (85, 111)
 Yes 257 147 (57.2) 110 (42.8) 102 (91, 113)
Contact tracing duty 0.502 0.944
 No 278 171 (61.5) 107 (38.5) 100 (89, 113)
 Yes 109 63 (57.8) 46 (42.2) 102 (89, 113)
Administration duty 0.289 0.203
 No 260 162 (62.3) 98 (37.7) 99 (89, 112)
 Yes 127 72 (56.7) 55 (43.3) 103 (90, 114)
Laboratory duty 0.555 0.204
 No 334 200 (59.9) 134 (40.1) 101 (90, 113)
 Yes 53 34 (64.2) 19 (35.8) 95 (87, 112)
No. of patients consulted (per day) 0.035a 0.020a
 < 50 297 171 (57.6) 126 (42.4) 102 (91, 113)
 ≥ 50 90 63 (70.0) 27 (30.0) 95 (86, 110)
Adequate support of paramedical staff 0.455 0.381
 No 55 37 (67.3) 18 (32.7) 96 (85, 112)
 Yes 268 157 (58.6) 111 (41.4) 101 (89, 113)
 Maybe 64 40 (62.5) 24 (37.5) 101 (92, 112.5)
Adequate support from the administration 0.141 0.262
 No 65 44 (67.7) 21 (32.3) 98 (87, 112)
 Yes 243 149 (61.3) 94 (38.7) 100 (89, 113)
 Maybe 79 41 (51.9) 38 (48.1) 104 (93, 113)
a

statistically significant; IQR – interquartile range, ICU – intensive care unit.

Logistic regression models

Empathy score ≤105 was considered as the reference category. Age, level of the health system, designation, OPD duty, and patient volume per day were significantly associated with the empathy score >105 in univariate modeling (Table 5). In multiple regression, the physicians >40 years old (AOR = 2.545, 95% CI = 1.1133, 5.8184), working in a government primary or secondary healthcare centers (AOR = 2.711, 95% CI = 1.1372, 6.4616), were about three times more likely to have the empathy score >105 compared to the physicians younger than 40 years (p-value = 0.027) and private practitioners (p = 0.024) (see Fig. 2). Physicians who engaged in OPD duty were 1.5 times more likely to have an empathy score >105 (AOR = 1.497, 95% CI = 0.9333, 2.4004) compared to the physicians who were not doing OPD duty (p-value = 0.094). The physicians who were consulting more than 50 patients per day were found 52.8% less likely to have an empathy score >105 (AOR = 0.528, 95% CI = 0.3096, 0.8989) compared to the physicians who were consulting less than 50 patients per day (p-value = 0.019).

Table 5.

Logistic regression of factors associated with physicians’ empathy.

Physician's characteristics OR (95% CI) p-value AOR (95% CI) p-value
Constant 0.251 (0.0891, 0.7084) 0.009
Age (years)
 20–25 years (Ref) 1.000
 26–30 years 1.151 (0.5963, 2.2206) 0.676 1.074 (0.5438, 2.1203) 0.837
 31–35 years 1.143 (0.5818, 2.2449) 0.698 1.139 (0.5622, 2.3082) 0.718
 36–40 years 1.568 (0.7599, 3.2339) 0.224 1.578 (0.7427, 3.3531) 0.235
 > 40 years 2.476 (1.1276, 5.4377) 0.024∗ 2.545 (1.1133, 5.8184) 0.027a
Gender
 Male (Ref) 1.000
 Female 0.867 (0.5732, 1.31) 0.497 0.935 (0.601, 1.4560) 0.767
Education
 Up to MBBS/diploma (Ref) 1.000
 MD or above 1.119 (0.7429, 1.6863) 0.590
Health sector
 Government (Ref) 1.000
 Private 0.774 (0.5117, 1.1694) 0.223
Level of health system
 Private practice (Ref) 1.000
 Govt PHC/SHC 2.131 (0.9408, 4.8256) 0.070∗ 2.711 (1.1372, 6.4616) 0.024a
 Govt medical college 1.114 (0.4736, 2.6209) 0.805 1.394 (0.5725, 3.3927) 0.465
 Corporate/tertiary care hospital 1.488 (0.6896, 3.2092) 0.311 1.853 (0.8253, 4.1596) 0.135
Designation
 Intern/resident (Ref) 1.000
 Medical officer 1.808 (1.0742, 3.0419) 0.026∗
 Consultant/professor 1.366 (0.8449, 2.208) 0.203
Ward duty
 No (Ref) 1.000
 Yes 0.774 (0.511, 1.1713) 0.225
ICU duty
 No (Ref) 1.000
 Yes 0.935 (0.6158, 1.4192) 0.752
Outpatient dept
 No (Ref) 1.000
 Yes 1.514 (0.974, 2.3533) 0.065∗ 1.497 (0.9333, 2.4004) 0.094a
Contact tracing duty
 No (Ref) 1.000
 Yes 1.167 (0.7438, 1.8308) 0.502
Administration duty
 No (Ref) 1.000
 Yes 1.263 (0.8203, 1.9439) 0.289
Laboratory duty
 No (Ref) 1.000
 Yes 0.834 (0.4566, 1.5236) 0.555
No. of patients consulted (per day)
 < 50 (Ref) 1.000
 ≥ 50 0.582 (0.3506, 0.9649) 0.036∗ 0.528 (0.3096, 0.8989) 0.019a
Adequate support - paramedical staff/HCW
 No (Ref) 1.000
 Yes 1.453 (0.7869, 2.6839) 0.232
 Maybe 1.233 (0.5784, 2.6298) 0.587
Adequate support - administration
 No (Ref) 1.000
 Yes 1.322 (0.7398, 2.3618) 0.346
 Maybe 1.942 (0.9819, 3.8405) 0.056
∗, a

statistically significant; PHC – primary health center; SHC – secondary health center; OR – odds ratio; AOR – adjusted odds ratio.

Fig. 2.

Fig. 2

Physicians' empathy score of total responses.

Discussion

Physician empathy is being able to understand the patient's concern and comfort him/her to allay their anxiety. Our study's aim in assessing the self-reported physician empathy, especially during a crisis, such as the ongoing pandemic, is a novel attempt in the field of medical education and clinical practice. The study included respondents from wide geographic locations within the country and different health sectors, levels, and designations of practice. In addition to documenting the physician empathy score, the study also highlights the association between empathy and the physician profile as well as patient-care factors during COVID-19.

Self-reported physician empathy score during COVID-19

Fostering empathy during medical education has been widely recommended across the globe.10 The need for empathy-based medical education has led to the incorporation of empathy as a competency to be acquired under the Attitude, Ethics, and Communication module (AETCOM) throughout 4 years of the medical curriculum by the National Medical Commission since 2018.11 In our study, the median total physician empathy score was 100 (IQR = 89, 113), i.e., in the third quartile (Fig. 2). This shows that there is a positive skewing of the empathy score and the physicians self-reported that their empathy for patients was high despite an ongoing crisis.

We could not find any studies done during the pandemic among practicing physicians, especially within this country to compare our study findings. In a study conducted by Wang H et al. among emergency department health providers of a tertiary care hospital in Texas, USA, the median physician empathy score of 41 health providers was 111 (IQR = 109,121).12 Despite an enormous load of the pandemic on the healthcare system of a populous country like India, about 40% of the physicians reported an empathy score of >105, i.e., beyond the third quartile (Fig. 2). The lowest and highest empathy scores reported by doctors were 39 and 140, respectively, which shows that there is room for an improvement of the physician empathy score among the doctors through various educational and organizational interventions.

Physician profile and empathy score

Physician profile analysis showed that about 57% male doctors and 56% of the respondents were practicing in the government health sector. More than 23% of the doctors were practicing in primary or secondary government healthcare centers, and 38% were in tertiary level healthcare centers. The respondents were from various medical and surgical specialties, including 24.5% of doctors involved in general practice or family medicine (Supplementary Table S1). Even though we did not find any association between the profile of doctors and the empathy score categories, univariate logistic regression showed age >40 years, and the government health sector of practice at a primary/secondary level was significantly associated with achieving an empathy score >105 as compared to lower age group, private, and tertiary level of practice (Table 5). This group of doctors was about three times more likely to have an empathy score >105 compared to the physicians younger than 40 years (p-value = 0.027) and private practitioners (p = 0.024) (Fig. 3). Osim et al. have also reported similar higher empathy scores among senior Nigerian doctors.13

Fig. 3.

Fig. 3

Multiple regression of factors associated with physicians' empathy.

We found no difference in physician empathy scores concerning gender, medical degree, and designation of the doctors, which resonates with few other studies on physician empathy.12,14,15 Contrary to this finding, various studies have also reported higher empathy scores in females and have attributed this to gender-specific neural networks in emotional social cognition.8,12,16, 17, 18 The inconsistency in this gender difference may also be due to the varied cultural and medical practice across the globe and forms a base for further in-depth studies in the future.

A novel finding to the best of our knowledge is the difference in empathy score based on the health sector and level of healthcare center of practice. About 23% of primary and secondary level government health sector physicians reported a higher median score of 105 (IQR = 92, 114) and about three times the odds of reporting empathy score more than 105 (AOR = 2.711, 95% CI = 1.1372, 6.4616) (p = 0.024) (Fig. 3). This unique finding posits that an in-depth study considering the level and sector of practice can provide key inputs in planning various educational and interventional programs for the physicians based on the sector and level of health facility of practice in India.

Patient-care factors during COVID-19 and empathy score

Patient-care factors, including nature of patient-care duties during COVID-19, number of patients consulted per day, support from paramedical staff, and healthcare administration in delivering patient-care with empathy, were considered in our study. The respondents in the survey had the option to choose more than one choice regarding the nature of patient-care duty performed namely ward duties (inpatient services), intensive care unit (critical care services), out-patient department (outpatient services), contact tracing duties (preventive care services), laboratory duties (laboratory services), and administrative duties (Table 2). In the decreasing order of nature of patient-care duties performed, almost two-thirds (66%) of the doctors had performed outpatient duties, 60% of doctors had performed inpatient services, and 40% of them had performed critical care duties. We found statistically significant higher empathy scores only in 66% of physicians who performed outpatient duties as compared to those physicians who did not perform outpatient duties (p = 0.022). We could not find any studies that have compared the physician empathy levels based on the wide nature of patient-care duties carried out by the physicians during COVID-19.

Chaitoff et al, have reported similar findings of higher empathy scores among physicians who did outpatient practice as compared to inpatient settings in the USA.19 In regression modeling, we found that the physicians who were engaged in outpatient patient-care were 1.5 times more likely to have an empathy score of more than 105 (AOR = 1.497, 95% CI = 0.9333, 2.4004) compared to the physicians who were not performing outpatient care duties (p = 0.094). Even though, in our study, there was no significant difference in empathy levels between those who performed administrative duties and their counterparts during COVID-19, and 43.3% of these physicians reported empathy scores of >105 with a highest median empathy score of 103 (IQR = 90, 114) compared to physicians who performed any other nature of patient-care duties performed.

Osim et al. have reported similar higher empathy scores among Nigerian physicians performing administrative duties.13 According to them, physicians with higher levels of empathy and social skills gravitate more toward administrative roles as well as physicians performing administrative duties over time learn and exhibit more empathy to function better in their role.13 Physicians who performed laboratory patient-care services reported the lowest median empathy scores of 95 (IQR = 87, 112) which corroborates with findings of other studies that reported lower empathy scores in technology-oriented specialties, such as pathology and radiology.19,20

We also noticed that physician-reported empathy scores significantly decreased with the higher volume of patients consulted per day. The median empathy score was 102 (IQR = 91, 113) and 95 (IQR = 86, 110) in physicians who were consulting <50 patients and ≥50 patients per day, respectively (p-value = 0.020). More than two-thirds (70%) of physicians who were consulting ≥50 patients per day had reported an empathy score of ≤105 as compared to their counterparts (p-value = 0.035). Regression analysis showed that these physicians were 52.8% less likely to have an empathy score >105 (AOR = 0.528, 95% CI = 0.3096, 0.8989) compared to the physicians who were consulting less than 50 patients per day (p-value = 0.019).

Studies have shown that patient-care health system-related factors, such as increased workload, higher patient waiting time, and lesser consultation time, are negatively associated with physician empathy.21,22 Further, increased stress and workload-related burnout are also associated with lower empathy scores which might have been the case during the ongoing pandemic that exerted enormous pressure on the health system.23 These findings suggest that even though empathy is a trait by nature, there is a need to nurture and hone this trait, especially during a crisis setting. Various behavioral and educational interventions studied have shown that the learned empathetic approach by physicians has improved doctor-patient relationships, better patient satisfaction, and hence quality healthcare delivery.24, 25, 26, 27 Technological and innovative administrative interventions to give important cues to the physician, such as embedding pop-up reminders to the electronic health records, using mobile apps to provide steps about approach to a conversation, and highlighting key patient worries in health record to be addressed for future visits in such a heavy workload scenario, can yield better empathetic outcome.26,28

Limitations of the study

Assessment of empathy in a doctor-patient encounter is a two-sided coin involving the perception of both patient and the doctor. In our study, we have assessed the physician's perception of the two-party relationship in a crisis setting. The findings of the study provide future scope to compare the perception of both the patient and physician for better comprehension of the behavior and take appropriate interventions during the medical curriculum. Even though the respondents participated from a wide diaspora in this online survey, recall bias due to the retrospective questionnaire and evolving nature of the pandemic setting favor future longitudinal health facility-based studies to gain better insight into this critical physician function.

Conclusions

This study highlights the empathy aspect of physician during the ongoing COVID pandemic, which is a key tenet of the new National Medical Commission competency-based medical curriculum. More than half of the respondent physicians have recorded high empathy scores assuring that the physicians even in this distressing situation better perceive empathy for patients. However, an increasing number of patient consultations compromises the empathy scores from physicians’ viewpoint, highlighting the need for administrative and medical education intervention. This shows that educating and focusing on the behavioral/communication skills during varied simulated situations followed by a stringent assessment on this skill during the exit exams will pave the way for better empathetic skills among physicians.

Disclosure of competing interest

The authors have none to declare.

Acknowledgments

We would like to acknowledge Thomas Jefferson University for permitting us to use the Jefferson Physician's Empathy (JPE) - Health Professional (HP) scale.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.mjafi.2022.08.012.

Appendix A. Supplementary data

The following is the supplementary data to this article:

Multimedia component 1
mmc1.docx (13.9KB, docx)

References

  • 1.Braga-Simões J., Costa P.S., Yaphe J. Placebo prescription and empathy of the physician: a cross-sectional study. Eur J Gen Pract. 2017;23(1):98–104. doi: 10.1080/13814788.2017.1291625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Abbott Moore L. Being empathetic: benefits and challenges for the clinician and client. Top Stroke Rehabil. 2010;17(1):20–29. doi: 10.1310/tsr1701-20. [DOI] [PubMed] [Google Scholar]
  • 3.Brito-Pons G., Librada-Flores S. Compassion in palliative care: a review. Curr Opin Support Palliat Care. 2018;12(4):472–479. doi: 10.1097/SPC.0000000000000393. [DOI] [PubMed] [Google Scholar]
  • 4.Yuguero O., Marsal J.R., Esquerda M., Galvan L., Soler-González J. Cross-sectional study of the association between empathy and burnout and drug prescribing quality in primary care. Prim Health Care Res Dev. 2019;20:e145. doi: 10.1017/S1463423619000793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hebbar P.B., Sudha A., Dsouza V., Chilgod L., Amin A. Healthcare delivery in India amid the Covid-19 pandemic: challenges and opportunities. Indian J Med Ethics. 2020:1–4. doi: 10.20529/IJME.2020.064. Published online. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kim K. To feel or not to feel: empathy and physician burnout. Acad Psychiatry. 2018;42(1):157–158. doi: 10.1007/s40596-017-0871-5. [DOI] [PubMed] [Google Scholar]
  • 7.Lwanga S.K., Lemeshow S., Organization W.H. World Health Organization; 1991. Sample Size Determination in Health Studies: A Practical Manual. [Google Scholar]
  • 8.Hojat M., Gonnella J.S., Nasca T.J., Mangione S., Vergare M., Magee M. Physician empathy: definition, components, measurement, and relationship to gender and specialty. Am J Psychiatr. 2002;159(9):1563–1569. doi: 10.1176/appi.ajp.159.9.1563. [DOI] [PubMed] [Google Scholar]
  • 9.Jefferson scale of empathy. Accessed April 14, 2022. https://www.jefferson.edu/academics/colleges-schools-institutes/skmc/research/research-medical-education/jefferson-scale-of-empathy.html.
  • 10.Pedersen R. Empathy development in medical education--a critical review. Med Teach. 2010;32(7):593–600. doi: 10.3109/01421590903544702. [DOI] [PubMed] [Google Scholar]
  • 11.Padmanabhan. The need for empathy-based medical education. Accessed April 16, 2022. https://www.amhsjournal.org/article.asp?issn=2321-4848;year=2019;volume=7;issue=1;spage=136;epage=137;aulast=Padmanabhan.
  • 12.Wang H., Kline J.A., Jackson B.E., et al. Association between emergency physician self-reported empathy and patient satisfaction. PLoS One. 2018;13(9) doi: 10.1371/journal.pone.0204113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Osim J.H., Essien E.A., Okegbe J., Udofia O. The jefferson scale of physician empathy: a preliminary study of validity and reliability among physicians in Nigerian tertiary hospital. Acta Medica Int. 2019;6(1):22. doi: 10.4103/ami.ami_70_18. [DOI] [Google Scholar]
  • 14.Di Lillo M., Cicchetti A., Scalzo A.L., Taroni F., Hojat M. The jefferson scale of physician empathy: preliminary psychometrics and group comparisons in Italian physicians. Acad Med. 2009;84(9):1198–1202. doi: 10.1097/ACM.0b013e3181b17b3f. [DOI] [PubMed] [Google Scholar]
  • 15.Charles J.A., Ahnfeldt-Mollerup P., Søndergaard J., Kristensen T. Empathy variation in general practice: a survey among general practitioners in Denmark. Int J Environ Res Publ Health. 2018;15(3) doi: 10.3390/ijerph15030433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Aggarwal V.P., Garg R., Goyal N., et al. Exploring the missing link - empathy among dental students: an institutional cross-sectional survey. Dent Res J. 2016;13(5):419–423. doi: 10.4103/1735-3327.192279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Schulte-Rüther M., Markowitsch H.J., Shah N.J., Fink G.R., Piefke M. Gender differences in brain networks supporting empathy. Neuroimage. 2008;42(1):393–403. doi: 10.1016/j.neuroimage.2008.04.180. [DOI] [PubMed] [Google Scholar]
  • 18.Petros Galanis R.N. Empathy and burnout of healthcare professionals in public hospitals of Greece. Int J Caring Sci. 2019;12(2):1–16. [Google Scholar]
  • 19.Chaitoff A., Sun B., Windover A., et al. Associations between physician empathy, physician characteristics, and standardized measures of patient experience. Acad Med J Assoc Am Med Coll. 2017;92(10):1464–1471. doi: 10.1097/ACM.0000000000001671. [DOI] [PubMed] [Google Scholar]
  • 20.Hojat M., Gonnella J.S., Nasca T.J., Mangione S., Veloksi J.J., Magee M. The Jefferson Scale of Physician Empathy: further psychometric data and differences by gender and specialty at item level. Acad Med J Assoc Am Med Coll. 2002;77(10 suppl l):S58–S60. doi: 10.1097/00001888-200210001-00019. [DOI] [PubMed] [Google Scholar]
  • 21.Abdulkader R.S., Venugopal D., Jeyashree K., Al Zayer Z., Senthamarai Kannan K., Jebitha R. The intricate relationship between client perceptions of physician empathy and physician self-assessment: lessons for reforming clinical practice. J Patient Exp. 2022;9 doi: 10.1177/23743735221077537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Haider S.I., Riaz Q., Gill R.C. Empathy in clinical practice: a qualitative study of early medical practitioners and educators. JPMA J Pak Med Assoc. 2020;70(1):116–122. doi: 10.5455/JPMA.14408. [DOI] [PubMed] [Google Scholar]
  • 23.Passalacqua S.A., Segrin C. The effect of resident physician stress, burnout, and empathy on patient-centered communication during the long-call shift. Health Commun. 2012;27(5):449–456. doi: 10.1080/10410236.2011.606527. [DOI] [PubMed] [Google Scholar]
  • 24.Loureiro J., Gonçalves-Pereira M., Trancas B., Caldas-de-Almeida J.M., Castro-Caldas A. [Empathy in the doctor-patient relationship as viewed by first-year medical students: data on validity and sensibility to change of the Jefferson Measure in Portugal] Acta Med Port. 2011;24(suppl 2):431–442. [PubMed] [Google Scholar]
  • 25.Turner K., Locke A., Jones T., Carpenter J. Empathy huddles: cultivating a culture of empathy. J Neurosci Nurs J Am Assoc Neurosci Nurses. 2019;51(3):153–155. doi: 10.1097/JNN.0000000000000444. [DOI] [PubMed] [Google Scholar]
  • 26.Patel S., Pelletier-Bui A., Smith S., et al. Curricula for empathy and compassion training in medical education: a systematic review. PLoS One. 2019;14(8) doi: 10.1371/journal.pone.0221412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Stewart M.A. Effective physician-patient communication and health outcomes: a review. CMAJ Can Med Assoc J. 1995;152(9):1423–1433. J Assoc Medicale Can. [PMC free article] [PubMed] [Google Scholar]
  • 28.Pollak K.I., Back A.L., Tulsky J.A. Disseminating effective clinician communication techniques: engaging clinicians to want to learn how to engage patients. Patient Educ Counsel. 2017;100(10):1951–1954. doi: 10.1016/j.pec.2017.05.015. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.docx (13.9KB, docx)

Articles from Medical Journal, Armed Forces India are provided here courtesy of Elsevier

RESOURCES