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Shin, Kim, Kim, Lee, Moon, Choe, Lee, Lee, and Cho: Probability of Early Retirement Among Emergency Physicians



Early retirement occurs when one’s job satisfaction suffers due to employment mismatch resulting from factors such as inadequate compensation. Medical doctors report high levels of job stress and burnout relative to other professionals. These levels are highest among emergency physicians (EPs), and despite general improvements in their working conditions, early retirement continues to become more common in this population. The purpose of this study was to identify the factors influencing EPs intention to retire early and to develop a probability equation for its prediction.


A secondary analysis of data from the 2015 Korean Society of Emergency Physicians Survey was performed. The variables potentially influencing early retirement were organized into personal characteristics, extrinsic factors, and intrinsic factors. Logistic regression analysis was performed to identify risk factors and to develop a probability equation; these findings were then arranged in a nomogram.


Of the 377 survey respondents included in the analysis, 48.0% intended to retire early. Risk factors for early retirement included level of satisfaction with the specialty and its outlook, slanderous reviews, emergency room safety, health status, workload intensity, age, and hospital type. Intrinsic factors (i.e., slanderous reviews and satisfaction with the specialty and its outlook) had a stronger influence on early retirement than did extrinsic factors.


To promote career longevity among EPs, it is vital to improve emergency room safety and workload intensity, to enhance medical professionalism through a stronger vision of emergency medicine, and to strengthen the patient-doctor relationship.


Unlike regular retirement, early retirement is based on a voluntary decision to prematurely leave one’s professional employment permanently. Although it may be positively associated with the beginning of a new project, most individuals are led to early retirement by the negative forces of employment mismatch due to work-related stress, burnout, and wage dissatisfaction [1,2].
Emergency physicians (EPs) have been reported to experience the highest levels of stress and burnout among medical specialists due to their constant exposure to a high-pressure working environment [3-6]. Prominent levels of work-related stress and burnout are known to contribute to early retirement among EPs [7].
Since the first generation of Korean EPs completed formal training in 1996, the working environment of emergency departments (EDs) has improved significantly [8]. There has been a decrease in night shifts and weekend/holiday shifts, while wages and workforce size have increased [8]. Despite these improvements, 2015 data revealed that only 70.6% of Korean EPs were working in an ED, which is a drop from 75.0% in 2010 [8,9]. The high early retirement rate among EPs is a significant issue with a potentially major negative impact on workforce management in the emergency medicine system. In other countries, in contrast, the attrition rates of EPs are lower than those of physicians in other medical specialties [10].
Studies have found that personal characteristics and extrinsic factors such as the working environment and wages contribute significantly to employees’ voluntary early retirement [11-16]. However, it is necessary to identify other factors influencing the rising rate of early retirement among EPs despite steady improvements in the external working environment in emergency medicine.
Although an individual’s intention to retire early may not necessarily lead to early retirement, this intention is closely related to actual behavior. For this reason, the intention to retire early has been adopted as a useful parameter in many studies [17]. Very few Korean studies have examined retirement rates among EPs or their intention to retire prematurely from their specialty. Therefore, we analyzed the factors associated with early retirement among EPs in Korea in order to identify measures that would promote their career longevity.


We obtained approval from the Korean Society of Emergency Medicine, which conducts the Korean Emergency Physician Survey every 5 years. In response to increasing demand for emergency medicine and following the national policy regarding the advancement of the Korean emergency medical system, this survey was conducted to identify the current status of Korean EPs’ working environment, and its results may contribute to policy-making and to improving working conditions. The 2015 survey was based on the 2014 Longitudinal Study of Emergency Physicians, a 5-year survey by the American Academy of Emergency Medicine [18]. According to Herzberg’s motivation-hygiene theory, relevant variables were grouped into the following 3 categories: personal characteristics, extrinsic factors such as the working environment, and intrinsic factors relating to medical professionalism [19]. Early retirement was defined as the act of voluntarily leaving emergency medicine practice before the preretirement age of 55 years.
Based on a previous study by Adams and Beehr [20] concerning early retirement, the item “Have you seriously considered early retirement from emergency medicine clinical practice?” was used to assess early retirement intention. This item was answered on a 5-point Likert scale, with a score of 4 or 5 indicating intention to retire early.
The survey was conducted over a 3-month period spanning from August 1 to October 31, 2015, using a paper-based questionnaire delivered 3 times or an electronic questionnaire delivered a maximum of 10 times via e-mail. For the electronic questionnaire, Adobe Acrobat® (Adobe Systems Inc., San Jose, CA, USA) was used to create an active file that could be filled out online. This file was subsequently posted on the Korean Society of Emergency Medicine website, as well as individually e-mailed to all registered members of the Korean Society of Emergency Medicine, comprising 1418 EPs. A total of 437 EPs participated in the survey. Of these, data from 29 who were over the age of 55 years or had retired from clinical practice at EDs, 27 who were on military service, and 4 who left multiple questionnaire items unanswered were excluded. Data from a total of 377 respondents were included in the analysis.
The participants completed the survey upon consenting to its purpose and intent detailed at the start of the survey. Considering that most respondents left 1-2 items unanswered, with a random distribution of unanswered items, missing values were statistically imputed for the analysis.
Statistical analysis was performed with SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). To develop the nomogram, the nomogram function included in the R 3.3.2 rms package was used. The mean and standard deviation were calculated for continuous variables, and the t-test was used for comparisons between respondents with and without early retirement intention. For categorical variables, the chi-square test was performed. The significance level was set at 5%. For the prediction model, a stepwise logistic regression analysis was performed with a 10% significance level to maximize the model’s fitness. A nomogram was developed to facilitate the identification of weighted values pertaining to explanatory variables included in the prediction equation and to make the calculation of probability scores more straightforward.


The results of the analysis of early retirement intention according to personal characteristics are displayed in Table 1. Nearly half of the respondents expressed an intention to retire early. No differences in early retirement intention were found according to age, sex, or marital status. Duration of employment, health status, access priorities growth assistance responsibility (APGAR) score, and turnover history were associated with early retirement intention. Exercise, alcohol consumption, and smoking were not significantly associated with early retirement intention.
The results of the analysis of early retirement intention according to extrinsic factors are displayed in Table 2. EPs who were employed at academic hospitals showed a significantly lower rate of early retirement intention than their counterparts employed at non-academic hospitals. The mean hours worked per week and the mean number of night shifts in 4 weeks for EPs working in academic hospitals were not significantly different from their counterparts’ values.
Early retirement intention decreased as the annual patient volume and ED safety increased. Early retirement intention was higher when there were 6 or more EPs available, and when the perception of workload intensity was higher than that of peers in other specialties. Regarding salary, early retirement intention was lower among those in the lower salary ranges, and higher among those in the highest salary range.
The results of the analysis of early retirement intention according to intrinsic factors are displayed in Table 3. Early retirement intention decreased as satisfaction with the specialty (emergency medicine) and its outlook increased. Verbal abuse and receiving slanderous reviews from patients and their family members were significantly associated with a higher rate of early retirement intention. Aptitude for the specialty was not found to have a significant association with early retirement intention. Nevertheless, early retirement intention was lower among the respondents who stated that emergency medicine was an exciting field or that it provided opportunities to discover new medical technology and knowledge compared to those who provided negative responses. Early retirement intention was higher among the respondents who stated that the ED was heavily influenced by outside factors.
The results of the logistic regression analysis of early retirement intention according to personal characteristics, extrinsic factors, and intrinsic factors are displayed in Table 4. Regarding personal characteristics, risk factors contributing to early retirement intention were age and health status. Contributing extrinsic risk factors were hospital type, workload intensity relative to other specialties, and ED safety. Intrinsic factors contributing to early retirement intention included slanderous reviews from patients and family members, and specialty satisfaction level and its outlook. The discriminatory power of the early retirement intention model was 0.762, and the following retirement prediction equation was obtained using the logistic regression model:
Linear predictor (LP)=-6.83+0.80Age1+1.06Age2+0.65HT+0.29HS+0.34IW+0.49SA+0.24SR+0.87SS1+0.78SS2+1.01SS3+1.50SS4+1.08OL1+1.58OL2
Here, Age1 is 1 or 0 depending on age (1: aged 40-49 years; 0: other). Similarly, Age2 is 1 or 0 depending on age (1: aged 50 years and older; 0: other). HT is either 1 or 0 depending on employment at an academic hospital (0: employed at an academic hospital; 1: other). HS represents health status, IW workload intensity, SA emergency room safety, and SR slanderous reviews. Additionally, SS1 to SS4 represent the level of satisfaction with emergency medicine as a specialty: SS1 is 1 when the satisfaction score is 2, and 0 when not; SS2 is 1 when the satisfaction score is 3, and 0 when not; SS3 is 1 when the satisfaction score is 4, and 0 when not; and SS4 is 1 when the satisfaction score is 5, and 0 when not. Finally, OL1 and OL2 represent the level of satisfaction with the outlook of emergency medicine as a specialty: OL1 is 1 for a response indicating dissatisfaction (2 points) and 0 otherwise; and OL2 is 1 for a response indicating severe dissatisfaction (1 point) and 0 otherwise. Upon calculating the LP score, the following equation was used to obtain the probability of early retirement intention.
P (Y=early retirement intention)=1/(1+exp[-LP])
The nomogram for scoring the probability of early retirement intention obtained via the above equation is shown in Figure 1.


This was the first Korean study to examine factors influencing early retirement among EPs and to develop a model for predicting early retirement intention. We analyzed the causes of early retirement among EPs, including personal, extrinsic, and internal factors. The risk factors for early retirement among EPs include individual factors such as age and health status; extrinsic factors such as hospital type, perceived workload intensity, and emergency room safety; and intrinsic factors such as level of satisfaction with emergency medicine as a specialty and its outlook and slanderous reviews. Although some of these factors, such as age and hospital type, are outside of an individual’s control, other factors such as health status, emergency room safety, working conditions, and slanderous reviews may be controlled through enhanced mutual respect between patients and doctors; furthermore, satisfaction with the specialty and its outlook may also be influenced by promoting medical professionalism. The equation developed in the present study enabled the prediction of early retirement intention by calculating scores based on the weighted value of each risk factor in a nomogram. An example of score calculation using nomogram is described in Figure S1 and Table S1. To reduce early retirement rates and promote career longevity among EPs, selective improvements designed to target this high-risk group are critical.
Early retirement not only involves the disruption of a professional career, in which EPs have invested heavily in terms of both time and cost, but also leads to decreased morale and increased workload for peers. In addition, increasing costs to recruit and secure newly trained replacements can have a significant negative impact on workforce management, which is a critical issue in emergency medicine at both the hospital and national levels. For these reasons, it is important to promote career longevity. A total of 1418 EPs have qualified in Korea as of July 2015. Of these, only 999 (70.6%) worked in EDs in 2015 [9]. The approximate 30.0% attrition rate, although it includes normal retirements, deaths, and leaves of absence, mostly reflects early retirements and the subsequent opening of private practices [8,12]. Additionally, at 48.0%, a high proportion of the respondents in the current study expressed early retirement intention. In comparison, 87.0% of EPs in the US are currently practicing, and the annual attrition rate of 1.5% is lower than that in other medical specialties [10].
Early retirement is associated with various individual factors. Burnout, stress, and the patient-doctor relationship have been reported to play an important role in early retirement among physicians [21,22].
Among personal factors, age, duration of employment as an EP, health status, and history of turnover were associated with early retirement intention. The mean age of the respondents was 40.8 years, and early retirement intention was very high among those in their early 40s, who typically have 10-14 years of professional experience as EPs. In comparison, the mean age of EPs currently employed at emergency rooms across the US was 44 years; and the most common timing of early retirement from emergency medicine practice was 20 years following the acquisition of the relevant qualification, indicating a much longer tenure in the emergency room than among their Korean counterparts [10].
Work-related stress and burnout among EPs are significantly associated with extrinsic factors such as shift work, night shifts, work-family conflict, the fishbowl environment, and violent situations [12-16]. In particular, night shifts and shift work are known to contribute greatly to early retirement [4]. Among these extrinsic factors, working hours have decreased in Korea to an average of 51.6 hours weekly, and the number of night shifts to 7.6 nights monthly [8]. In relation to these improvements, the present study did not find working hours or night shifts to be significantly associated with early retirement intention. Early retirement intention was higher among those in the highest salary range in the present study, but this finding appears to be linked to the hospital type, given that specialists employed at non-academic hospitals typically receive very generous compensation. The mean number of EPs working at regional emergency medical centers, where the workload intensity of EPs is higher, was 7.7, which was significantly higher than at non-regional emergency centers [9]. The higher rate of intention to retire early observed in EDs with 6 or more EPs seemed to be linked to this condition. In a similar manner, annual patient volume appeared to be related to workload intensity, but further investigation is needed to identify the correlation between those factors. Early retirement intention was greater among EPs employed at non-academic hospitals than among their counterparts employed at academic hospitals, and this finding was similar to previous research [12,23]. Emergency room safety protocols pertaining to unforeseen violence and damage/destruction of property, as well as workload intensity relative to other specialties, were found to be strongly associated with early retirement intention. Violence against medical staff by patients, family members, and individuals under the influence of alcohol, as well as damage/destruction of property, have also been found to greatly contribute to work-related stress in other studies [24,25].
Intrinsic factors influencing early retirement included professional attitude and satisfaction with the specialty, the outlook of emergency medicine, research, and training in new skills and knowledge, and these were analyzed and studied from the viewpoint of medical professionalism. In the present study, it was found that early retirement intention decreased as the level of satisfaction increased regarding emergency medicine as a specialty and its outlook. Early retirement intention also increased as slanderous reviews increased. According to Hann et al. [26], the factors influencing job satisfaction include extrinsic factors such as monetary compensation, working conditions, and workload intensity, as well as intrinsic factors such as sense of achievement, social role and status, and autonomy; furthermore, enhancing intrinsic factors plays a significant role in increasing one’s sense of career achievement. According to Cydulka and Korte [27], a diverse patient group and opportunities to participate in training and administrative tasks, in addition to generous compensation and improved working conditions, are important contributors to a robust sense of career achievement. Other studies have reported that difficulties in the patient-doctor relationship could cause burnout, contributing to early retirement [22]. In conclusion, the intrinsic factors identified as contributors to early retirement in the above studies appear to be associated with medical professionalism. While it is important for physicians to provide patient care according to the principles of optimizing patient welfare and autonomy, it is equally important for them to maintain professional competence by keeping up with new medical knowledge and skills. We also confirmed that an important current threat to physicians and healthcare is distrust and excessive demands, which subsequently contribute to early retirement. For this reason, a patient-doctor partnership based on mutual respect, where public trust and rights are well-balanced, should form the core of medical professionalism [28-30].
Finally, we performed a stepwise logistic regression analysis to identify a prediction model for early retirement intention. This was followed by the development of a nomogram to identify the weighted values of explanatory variables included in the prediction equation and to facilitate the calculation of prediction scores. Using the prediction equation, each respondent’s early retirement intention probability score was calculated. Eight risk factors were included in the prediction equation. The probability of early retirement intention increased among physicians with higher age, in non-academic hospitals with a greater workload relative to other specialties, poorer health status, more slanderous reviews, and lower level of satisfaction with emergency medicine as a specialty or its outlook. Of these, the weighted values of the intrinsic factors were the largest. Therefore, according to the prediction equation in the present study, the intrinsic factors had a greater influence on early retirement intention than did the extrinsic factors known to be important causes of early retirement among physicians. Extrinsic factors such as night shifts, shift work, and compensation had a small influence on early retirement intention, whereas the level of satisfaction with emergency medicine as a specialty and its outlook, as well as mutual respect between patient and doctor, were significantly associated with early retirement intention.
This study has several limitations. First, because the study only focused on EPs, the prediction equation may not be suitable for application among doctors in other medical specialties. Second, although depression, burnout, satisfaction with work-life balance, and administrative tasks apart from patient treatment may also be associated with early retirement among EPs, their associations with early retirement intention could not be verified because these parameters were not included in the survey questionnaire. Finally, because the data used in the study were gathered via a self-report and cross-sectional survey questionnaire, each respondent’s mental and physical state at the time of completion may have influenced the accuracy of responses. The possibility of sampling error by enthusiastic respondents or missing data errors due to unanswered items cannot be ruled out. EPs who did not have a verified mailing address or did not respond for any reason may either have already been retired or were working under poor conditions that would induce dissatisfaction.
In conclusion, to reduce the rate of early retirement among EPs and to promote career longevity, not only extrinsic factors, but also intrinsic factors such as professional identity and mutual patient-doctor respect must be enhanced. Doing so will foster a healthy balance between professional duties and rights.


This work was supported by Kyungpook National University and Korean Society of Emergency Medicine.


The authors have no conflicts of interest associated with the material presented in this paper.

Figure. 1.
Nomogram for scoring the probability of early retirement intention. The instructions are as follows: Calculate the score for each factor using the points scale at the top and sum the points. Then, draw a straight vertical line from the total points to intersect the indicator of probability at the bottom, which will indicate the probability of early retirement intention. ED, emergency department; EM, emergency medicine.
Table 1.
EPs’ early retirement intention by general characteristics
Variable EPs (n) Retirement intention
χ2 p-value
Yes (n=181) No (n=196)
Age (y) 2.99 0.22
 <40 184 80 (43.5) 104 (56.5)
 40-49 167 87 (52.1) 80 (47.9)
 ≥50 26 14 (53.8) 12 (46.2)
 Mean±SD 40.75±5.14
Sex 0.03 0.87
 Male 328 158 (48.2) 170 (51.8)
 Female 49 23 (46.9) 26 (53.1)
Marital status 3.54 0.06
 Married 336 167 (49.7) 169 (50.3)
 Single 41 14 (34.1) 27 (65.9)
Years working in ED 8.63 0.03
 <5 94 31 (36.9) 53 (63.1)
 5-9 156 75 (48.1) 81 (51.9)
 10-14 84 50 (59.5) 34 (40.5)
 ≥15 53 25 (47.2) 28 (52.8)
 Mean±SD 8.7±5.3
Self-rated health 11.03 0.004
 Good 104 41 (39.4) 63 (60.6)
 Medium 189 87 (46.0) 102 (54.0)
 Poor 84 53 (63.1) 31 (36.9)
Regular exercise 2.32 0.13
 Yes 168 88 (52.4) 80 (47.6)
 No 209 93 (44.5) 116 (55.5)
Alcohol consumption 3.41 0.06
 No 35 22 (62.9) 13 (37.1)
 Yes 342 159 (46.5) 183 (53.5)
Smoking 0.06 0.80
 Yes 106 52 (49.1) 54 (50.9)
 No 271 129 (47.6) 142 (52.4)
APGAR score1 8.07 0.02
 ≤5 222 120 (54.1) 102 (45.9)
 6-8 114 46 (40.4) 68 (59.6)
 9-10 41 15 (36.6) 26 (63.4)
 Mean±SD 5.12±2.32
Turnover history 39.26 <0.001
 Yes 95 72 (75.8) 23 (24.2)
 No 282 109 (38.7) 173 (61.3)

Values are presented as number (%).

EPs, emergency physicians; SD, standard deviation; ED, emergency department; APGAR, access priorities growth assistance responsibility.

1 An assessment of overall health of adults and families.

Table 2.
EPs’ early retirement intention by extrinsic factors
Variable EPs (n) Retirement intention
χ2 p-value
Yes (n=181) No (n=196)
Hospital type 7.04 0.008
 Academic 183 75 (41.0) 108 (59.0)
 Non-academic 194 106 (54.6) 88 (45.4)
No. of EPs in ED 5.54 0.02
 ≤2 34 21 (61.8) 13 (38.2)
 3-5 229 114 (49.8) 115 (50.2)
 ≥6 114 46 (40.4) 68 (59.6)
 Mean±SD 4.3±1.9
Annual patient volume 7.73 0.01
 <20 000 106 59 (55.7) 47 (44.3)
 20 000-40 000 128 61 (47.7) 67 (52.3)
 40 000-60 000 83 41 (49.4) 42 (50.6)
 >60 000 60 20 (33.3) 40 (66.7)
Salary (104 KRW/mo) 5.21 0.04
 <700 70 30 (42.9) 40 (57.1)
 700-999 104 44 (42.3) 60 (57.7)
 000-1299 83 42 (50.6) 41 (49.4)
 1300-1499 77 39 (50.6) 38 (49.4)
 ≥1500 43 26 (60.5) 17 (39.5)
Hours worked (hr/wk) 6.70 0.08
 <39 73 37 (50.7) 36 (49.3)
 40-49 166 89 (53.6) 77 (46.4)
 50-59 74 27 (36.5) 47 (63.5)
 ≥60 64 28 (43.8) 36 (56.3)
 Mean±SD 51.6±14
Night shifts in 4 wk 0.97 0.62
 0 32 14 (43.8) 18 (56.3)
 1-4 59 29 (49.2) 30 (50.8)
 5-8 220 104 (47.3) 116 (52.3)
 ≥9 66 35 (53.0) 31 (47.0)
 Mean±SD 7.6±3.0
Intensity of workload compared with other specialties 10.17 0.003
 Normal 165 67 (40.6) 98 (59.4)
 High 160 80 (50.0) 80 (50.0)
 Very high 52 34 (65.4) 18 (34.6)
Safety in ED 20.72 <0.001
 Serious problem 47 36 (76.6) 11 (23.4)
 Problem 108 55 (50.9) 53 (49.1)
 Not a problem 222 90 (40.5) 132 (59.5)

Values are presented as number or number (%).

EPs, emergency physicians; ED, emergency department; SD, standard deviation.

Table 3.
EPs’ early retirement intention by intrinsic factors
Variable EPs (n) Retirement intention
χ2 p-value
Yes (n=181) No (n=196)
Slanderous reviews 7.26 0.03
 None (1) 236 101 (42.8) 135 (57.2)
 A few (2) 72 39 (54.2) 33 (45.8)
 Many (3+4+5) 69 41 (59.4) 28 (40.6)
Verbal abuse 10.76 0.003
 None 65 24 (36.9) 41 (63.1)
 Medium 94 42 (44.7) 52 (55.3)
 High 218 115 (52.8) 103 (42.2)
Satisfaction with specialty 23.00 <0.001
 Not satisfied 110 73 (66.4) 37 (33.6)
 Moderately satisfied 107 49 (45.8) 58 (54.2)
 Satisfied 160 59 (36.9) 101 (63.1)
Aptitude for the specialty 4.18 0.12
 No fit 255 118 (46.3) 137 (53.7)
 Medium fit 88 41 (46.6) 47 (53.4)
 Good fit 34 22 (64.7) 12 (35.3)
Satisfaction with EMS 11.37 0.003
 Not satisfied 207 115 (55.6) 92 (44.4)
 Moderately satisfied 140 52 (37.1) 88 (62.9)
 Satisfied 30 14 (46.7) 16 (53.3)
Outlook of EM 35.43 <0.001
 Not satisfied 88 66 (75.0) 22 (25.0)
 Moderately satisfied 141 62 (44.0) 79 (56.0)
 Satisfied 148 53 (35.8) 95 (64.2)
ED depending on external factor 8.86 0.01
 No 51 19 (37.3) 32 (62.7)
 Medium 114 46 (40.4) 68 (59.6)
 Yes 212 116 (54.7) 96 (45.3)
Poor reception 3.73 0.15
 No 25 9 (36.0) 16 (64.0)
 Medium 88 37 (42.0) 51 (58.0)
 Yes 264 135 (51.1) 129 (48.9)
Exciting work 10.07 0.007
 No 18 15 (83.3) 3 (16.7)
 Medium 61 31 (50.8) 30 (49.2)
 Yes 298 135 (45.3) 163 (54.7)
New skills and medicine 8.12 0.02
 No 52 34 (65.4) 18 (34.6)
 Medium 159 76 (47.8) 83 (52.2)
 Yes 166 71 (42.8) 95 (57.2)

Values are presented as number or number (%).

EPs, emergency physicians; EM, emergency medicine; EMS, emergency medical services; ED, emergency department.

Table 4.
Logistic regression analysis of early retirement intention
Variable Estimate SE χ2 p-value OR (95% CI)
Intercept -6.83 1.16 -34.58 <0.001
Age (y)
 <40 1.00
 40-49 0.8 0.26 9.62 0.002 2.24 (1.34, 3.72)
 ≥50 1.06 0.48 4.88 0.03 2.88 (1.13, 7.36)
Hospital type
 Academic 1.00
 Non-academic 0.65 0.26 6.31 0.01 1.91 (1.15, 3.17)
Self-rated health (score: 1-5) 0.29 0.18 2.75 0.10 1.41 (1.04, 1.91)
Intensity of workload (score: 3-5) 0.34 0.15 4.99 0.02 1.34 (0.95, 1.90)
ED safety (score: 3-5) 0.49 0.18 7.51 0.006 1.64 (1.15, 2.33)
Slanderous reviews (score: 1-5) 0.24 0.12 3.81 0.05 1.27 (1.00, 1.61)
Satisfaction with specialty
 5 1.00
 4 1.01 0.49 4.29 0.04 2.75 (1.06, 7.17)
 3 0.78 0.44 3.2 0.07 2.19 (0.93, 5.18)
 2 0.87 0.44 3.89 0.05 2.38 (1.01, 5.61)
 1 1.5 0.54 7.72 0.006 4.49 (1.56, 12.97)
Outlook of EM
 Medium (3+4+5) 1.00
 Not satisfied (2) 1.08 0.34 5.14 0.02 2.94 (1.52, 5.69)
 Very not satisfied (1) 1.56 0.69 10.17 0.001 4.78 (1.24, 18.46)

SE, standard error; OR, odds ratio; CI, confidence interval; ED, emergency department; EM, emergency medicine.


Supplementary Material 1: Table S1 is available at https://www.jpmph.org/.
Supplementary Material 2: Figure S1 is available at https://www.jpmph.org/.


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