Abstract
Background
Physicians experience several work-related stressors that have been mounting up in recent decades. This study aimed to examine perceived stress and its risk factors and consequences among consultant physicians in Saudi Arabia.
Methods
A cross-sectional study was conducted from November 2014 to March 2015 among physicians who were assigned rank of consultant. The stress level was assessed using perceived stress scale (PSS).
Results
A total of 582 consultants participated. The average age was 46.9±7.9 years, 71% were males, 56% were Saudi, 15% were smokers, and 68% slept ≤6 hours per night. The median PSS score was 17 (interquartile range of 14–21), which represented 44% of maximum possible PSS score. The upper tertile of PSS score (represents a high stress level) was significantly associated with being younger, female, and Saudi. The majority (85%) considered job environment to be stressful and ~50% attributed that to a high workload and a noncooperative administration. In the year preceding this study, half of consultants frequently contemplated or even worked toward changing their medical institutes or even moving to work outside Saudi Arabia because of perception of a stressful working environment. Over the previous year, encountering life stressors, considering job environment as stressful and experiencing passive suicidal ideation, were significantly associated with higher levels of stress. In multivariate analysis, the following factors were independently associated with stress: female gender (odds ratio [OR]=2.41, 95% CI 1.58–3.70) and perceived stressful working environment (OR=3.66, 95% CI 1.87–7.17).
Conclusion
Consultant physicians in Saudi Arabia experience moderate to high levels of perceived stress that are relatively comparable to physicians worldwide. A significant association was found between stress levels and both female gender and perception of a stressful working environment. Further studies are required to assess physician-based interventions and organization-directed approaches to management of stress among physicians.
Keywords: stress, Saudi Arabia, consultants, patterns, risk factors
Introduction
Every day, physicians encounter stressors that are a fundamental part of medical practice.1 However, in the past few decades, compared with other professional groups, physician’s wellness has diminished in every aspect of professional life.2 Chronic stress may affect the relationship of physicians with their patients and can lead to negative clinical consequences, such as compassion fatigue, unprofessionalism, and clinical errors.2–5 Chronic stress can also affect a physician’s personal life and result in negative outcomes, such as chronic fatigue, substance abuse, psychiatric morbidity, and suicidal ideation.2–5
Physicians face several types of stressors that have worsened in recent decades.4 Work-related stressors include, but are not limited to, less autonomy because of the widespread adoption of evidence-based practice protocols and guidelines,6 working in larger groups, and being subjected to scrutiny regarding to their intervention and treatment plans.4 Moreover, physicians are concerned about increasing number of complaints,7 the costs of liability insurance, and the development of the judicialization of care.8
Most studies speculate on the possible causes of stress among physicians or on specific subgroups, and few have used standardized validated rating scales to measure stress. There are few international studies that have included consultant physicians from all specialties and that have provided considerable information about their current level of stress.9 Moreover, there are few local studies that have addressed stress among physicians. One old local study has addressed stress among physicians in a single academic hospital,10 and another study investigated burnout phenomena in a tertiary care hospital.11 Therefore, the objective of the present study was to examine perceived stress and its associated risk factors and consequences among consultant physicians in Saudi Arabia.
Methods
Population
All consultant physicians who registered with the Saudi Commission for Health Specialties (SCFHS) registry were invited to participate in the study. According to the SCFHS, which is the body responsible for setting regulations for the practice of health professions in Saudi Arabia, the consultant physician must possess a Saudi specialty certificate (or equivalent) and have at least 3 years of experience in a specialty field at a recognized hospital or center.12 Both Saudi and non-Saudi consultants from all medical specialties working in both public and private sectors of the five Saudi regions (central, northern, southern, eastern, and western) were qualified for inclusion in the study. The SCFHS maintains a comprehensive record of all health care practitioners in Saudi Arabia.
Study design
This was a cross-sectional study. Ethical approval was obtained from the Ethical Institutional Review Board at King Saud University, College of Medicine, Riyadh, Saudi Arabia. We got approval for use of the third party data from the SCFHS registry. Written informed consent was obtained from participants.
Recruitment
Due to lack of previous local studies that identified the frequency of stress among consultants, estimation of the sample size was based on the assumption of 50% frequency of stress among consultants, which is known to be associated with the most liberal estimation of sample size. Therefore, the required sample size was estimated to be 376 consultants, using 95% CI. All consultants who were listed in the SCFHS registry between November 2014 and March 2015 and who had available cell numbers (n=11621) were invited to participate via cell phone text messages. Up to three reminder messages were sent to nonresponders. The messages explained the study objectives and directed the physician to a website to complete the study questionnaire. The first page of the website was an informed consent form, which offered the prospective participant two options: to withdraw with a provided reason or to proceed to the study questionnaire.
Overall, 623 consultants initiated the internet-based questionnaire. Subsequently, 41 consultants were excluded; 31 consultants did not consent (the majority stated that the main reason was lack of time), and 10 were found to be specialists (not yet consultants, as they did not complete the required 3 years of specialty training/experience). Therefore, 582 consultants were eventually included in the current analysis.
Data collection tool
A self-administered internet-based questionnaire was developed that included demographic characteristics, personal clinical history, job-related characteristics, work-related and other stressors, ideations, and stress management questions.
Instrument
The perceived stress scale (PSS) is a 10-question tool used to measure a person’s perception of stress over the past month.13,14 The PSS is a validated, easy-to-use, and popular stress questionnaire with established acceptable psychometric properties.15,16
A Likert-type scale was used to capture responses in the PSS (never, almost never, sometimes, fairly often, or very often). Consultants were asked about their feelings and thoughts during the last month. Respondents were requested to circle how often they felt or thought a certain way (0=never, 1=almost never, 2=sometimes, 3=fairly often, and 4=very often). The total PSS score was calculated by summing the scores of individual questions, with higher scores equal to higher levels of stress. However, PSS scores are obtained by reverse-scoring the responses (eg, 0=4, 1=3, 2=2, 3=1, and 4=0) to the four positively stated items (items 4, 5, 7, and 8). The total sum score of PSS can range from 0 to 40.
Validation of the data collection tool
The content of the questionnaire (apart from the PSS) was validated by a multidisciplinary committee that included specialists in psychiatry, family medicine, medical ethics, and epidemiology. The questionnaire was piloted with 20 consultants. After 2 weeks, the questionnaire was then re-administered to the same consultants with more than 90% test–retest reliability. The tool demonstrated consistency in its internal items as indicated by an overall Cronbach’s alpha of 0.844.
Statistical analysis
The PSS scores and demographic data were entered in the SPSS (version 22.0; IBM Corp, Armonk, NY, USA). Data were presented as frequencies and percentages for categorical data, mean and SD for continuous normally distributed data, and median and interquartile range (IQR) for continuous non-normally distributed data. Chi-square tests or Fisher’s exact tests (as appropriate) were used to compare categorical data, whereas analysis of variances or Kruskal–Wallis tests (as appropriate) were used to compare continuous data. Spearman’s correlation (r) was used to examine the correlation between the PSS and other continuous variables. A P-value of <0.05 was considered significant. As there is no standard cut-score to diagnose and/or grade stress,14 the score of the PSS was categorized into three roughly equal categories (tertiles): low score (PSS≤15), intermediate score (PSS=16–19), and high score (PSS≥20). Multivariate logistic regression model was run to detect independent associations between PSS (highest tertile versus the other two tertiles) and potential predictor variables (such as demographic, clinical, and job characteristics). Factors that were significantly/marginally associated with perceived stress groups in univariate analysis (P<0.10, as shown in Tables 1–3) were entered into the multivariate model, whereas nonsignificant variables were allowed to exit the model by the backward elimination method. Variables that remained in the final step with P-value of <0.05 was considered independently associated with perceived stress.
Table 1.
Demographic characteristics and medical history by stress level among consultant physicians in Saudi Arabia (n=582)
| Characteristics | Total | Low (PSS≤15) | Medium (PSS=16–19) | High (PSS≥20) | P-value |
|---|---|---|---|---|---|
| Overall | 582 (100.0%) | 197 (33.8%) | 188 (32.3%) | 197 (33.8%) | |
| Gender | |||||
| Male | 414 (71.1%) | 159 (38.4%) | 139 (33.6%) | 116 (28.0%) | <0.001 |
| Female | 168 (28.9%) | 38 (22.6%) | 49 (29.2%) | 81 (48.2%) | |
| Age (years) | 46.9±7.9 | 48.3±7.6 | 47.1±8.1 | 45.4±7.8 | 0.001 |
| Nationality | |||||
| Saudi | 326 (56.0%) | 91 (27.9%) | 104 (31.9%) | 131 (40.2%) | <0.001 |
| Non-Saudi | 256 (44.0%) | 106 (41.4%) | 84 (32.8%) | 66 (25.8%) | |
| Marital status | |||||
| Single | 23 (4.0%) | 5 (21.7%) | 11 (47.8%) | 7 (30.4%) | 0.191 |
| Married | 540 (92.8%) | 188 (34.8%) | 166 (30.7%) | 186 (34.4%) | |
| Other | 19 (3.3%) | 4 (21.1%) | 11 (57.9%) | 4 (21.1%) | |
| Children | |||||
| No | 50 (8.6%) | 14 (28.0%) | 15 (30.0%) | 21 (42.0%) | 0.424 |
| Yes | 532 (91.4%) | 183 (34.4%) | 173 (32.5%) | 176 (33.1%) | |
| Number of children | |||||
| 1–2 | 123 (23.2%) | 50 (40.7%) | 33 (26.8%) | 40 (32.5%) | 0.051 |
| 3–4 | 264 (49.8%) | 92 (34.8%) | 79 (29.9%) | 93 (35.2%) | |
| ≥5 | 143 (27.0%) | 41 (28.7%) | 60 (42.0%) | 42 (29.4%) | |
| Smoking | |||||
| No | 494 (84.9%) | 170 (34.4%) | 163 (33.0%) | 161 (32.6%) | 0.313 |
| Yes | 88 (15.1%) | 27 (30.7%) | 25 (28.4%) | 36 (40.9%) | |
| Sleeping hours per day | 6.0±1.0 | 6.1±1.0 | 5.9±1.1 | 5.9±1.0 | 0.060 |
| Chronic medical illness | |||||
| No | 492 (84.5%) | 170 (34.6%) | 159 (32.3%) | 163 (33.1%) | 0.621 |
| Yes | 90 (15.5%) | 27 (30.0%) | 29 (32.2%) | 34 (37.8%) | |
| Chronic medical illness | |||||
| Hypertension | 36 (6.2%) | 12 (33.3%) | 8 (22.2%) | 16 (44.4%) | 0.289 |
| Diabetes | 29 (5.0%) | 8 (27.6%) | 14 (48.3%) | 7 (24.1%) | 0.164 |
| Heart disease | 13 (2.2%) | 2 (15.4%) | 7 (53.8%) | 4 (30.8%) | 0.194 |
| Vertebral disc disease | 9 (1.5%) | 2 (22.2%) | 3 (33.3%) | 4 (44.4%) | 0.778 |
| Thyroid | 5 (0.9%) | 0 (0.0%) | 1 (20.0%) | 4 (80.0%) | 0.090 |
| Other | 23 (4.0%) | 5 (21.7%) | 10 (43.5%) | 8 (34.8%) | 0.347 |
| Psychiatric illness | |||||
| No | 549 (94.7%) | 191 (34.8%) | 177 (32.2%) | 181 (33.0%) | 0.127 |
| Yes | 31 (5.3%) | 6 (19.4%) | 10 (32.3%) | 15 (48.4%) | |
| Psychiatric illness | |||||
| Depression | 22 (3.8%) | 5 (22.7%) | 6 (27.3%) | 11 (50.0%) | 0.246 |
| Anxiety | 8 (1.4%) | 0 (0.0%) | 4 (50.0%) | 4 (50.0%) | 0.117 |
| Other | 2 (0.3%) | 1 (50.0%) | 1 (50.0%) | 0 (0.0%) | 0.770 |
| Received psychological help | |||||
| No | 537 (92.3%) | 186 (34.6%) | 175 (32.6%) | 176 (32.8%) | 0.148 |
| Yes | 45 (7.7%) | 11 (24.4%) | 13 (28.9%) | 21 (46.7%) |
Note: Data shown as mean ± standard deviation and number (percentage).
Abbreviation: PSS, perceived stress scale.
Table 2.
Job characteristics by stress level among consultant physicians in Saudi Arabia (n=582)
| Characteristics | Total | Low (PSS≤15) | Medium (PSS=16–19) | High (PSS≥20) | P-value |
|---|---|---|---|---|---|
| Type of health facility | |||||
| Public | 438 (75.3%) | 136 (31.1%) | 153 (34.9%) | 149 (34.0%) | 0.075 |
| Private | 97 (16.7%) | 43 (44.3%) | 22 (22.7%) | 32 (33.0%) | |
| Both | 47 (8.1%) | 18 (38.3%) | 13 (27.7%) | 16 (34.0%) | |
| Job title | |||||
| Associate consultant | 15 (2.6%) | 5 (33.3%) | 7 (46.7%) | 3 (20.0%) | 0.493 |
| Consultant | 519 (89.2%) | 176 (33.9%) | 169 (32.6%) | 174 (33.5%) | |
| Senior consultant | 48 (8.2%) | 16 (33.3%) | 12 (25.0%) | 20 (41.7%) | |
| Specialty | |||||
| Internal medicine | 147 (25.3%) | 43 (29.3%) | 50 (34.0%) | 54 (36.7%) | – |
| Surgery | 138 (23.7%) | 54 (39.1%) | 46 (33.3%) | 38 (27.5%) | |
| Pediatrics/neonatology | 86 (14.8%) | 28 (32.6%) | 27 (31.4%) | 31 (36.0%) | |
| Obstetrics and gynecology | 60 (10.3%) | 15 (25.0%) | 18 (30.0%) | 27 (45.0%) | |
| Family medicine | 47 (8.1%) | 15 (31.9%) | 13 (27.7%) | 19 (40.4%) | |
| Anesthesiology | 35 (6.0%) | 19 (54.3%) | 6 (17.1%) | 10 (28.6%) | |
| Psychiatry | 23 (4.0%) | 10 (43.5%) | 8 (34.8%) | 5 (21.7%) | |
| Radiology | 20 (3.4%) | 2 (10.0%) | 9 (45.0%) | 9 (45.0%) | |
| Laboratory | 19 (3.3%) | 9 (47.4%) | 7 (36.8%) | 3 (15.8%) | |
| Other | 7 (1.2%) | 2 (28.6%) | 4 (57.1%) | 1 (14.3%) | |
| Work load | |||||
| No. of on calls per month | 7 (4–10) | 7 (3–10) | 7 (4–10) | 6 (3–12) | 0.974 |
| No. of served ward patients per week | 10 (4–20) | 8 (4–17) | 10 (4–20) | 10 (4–20) | 0.417 |
| Monthly income (SR) | |||||
| <40,000 | 228 (39.2%) | 72 (31.6%) | 89 (39.0%) | 67 (29.4%) | 0.082 |
| 40,000–60,000 | 248 (42.6%) | 86 (34.7%) | 69 (27.8%) | 93 (37.5%) | |
| >60,000 | 106 (18.2%) | 39 (36.8%) | 30 (28.3%) | 37 (34.9%) | |
| Income satisfaction | |||||
| Satisfied | 316 (54.3%) | 116 (36.7%) | 95 (30.1%) | 105 (33.2%) | 0.267 |
| Dissatisfied | 199 (34.2%) | 58 (29.1%) | 67 (33.7%) | 74 (37.2%) | |
| Not sure | 67 (11.5%) | 23 (34.3%) | 26 (38.8%) | 18 (26.9%) |
Note: Data shown as median (interquartile range) and number (percentage).
Abbreviation: PSS, perceived stress scale.
Table 3.
Stressors, ideations, and stress management training among consultant physicians in Saudi Arabia (n=582)
| Characteristics | Total | Low (PSS≤15) | Medium (PSS=16–19) | High (PSS≥20) | P-value |
|---|---|---|---|---|---|
| Faced any life stressor in the last year? | |||||
| No | 13 (2.2%) | 11 (84.6%) | 2 (15.4%) | 0 (0.0%) | <0.001 |
| Yes | 569 (97.8%) | 186 (32.7%) | 186 (32.7%) | 197 (34.6%) | |
| Types | |||||
| Work-related | 399 (68.6%) | 119 (29.8%) | 125 (31.3%) | 155 (38.8%) | <0.001 |
| Family | 237 (40.7%) | 67 (28.3%) | 80 (33.8%) | 90 (38.0%) | 0.051 |
| Financial | 144 (24.7%) | 32 (22.2%) | 50 (34.7%) | 62 (43.1%) | 0.002 |
| Marital | 111 (19.1%) | 22 (19.8%) | 35 (31.5%) | 54 (48.6%) | <0.001 |
| Health | 108 (18.6%) | 24 (22.2%) | 29 (26.9%) | 55 (50.9%) | <0.001 |
| Academic | 101 (17.4%) | 26 (25.7%) | 34 (33.7%) | 41 (40.6%) | 0.130 |
| Death of a loved one | 74 (12.7%) | 29 (39.2%) | 19 (25.7%) | 26 (35.1%) | 0.385 |
| Homesickness | 48 (8.2%) | 13 (27.1%) | 17 (35.4%) | 18 (37.5%) | 0.586 |
| Other | 23 (4.0%) | 9 (39.1%) | 9 (39.1%) | 5 (21.7%) | 0.454 |
| Is your current work environment stressful? | |||||
| Agree | 492 (84.5%) | 147 (29.9%) | 159 (32.3%) | 186 (37.8%) | <0.001 |
| Disagree | 47 (8.1%) | 28 (59.6%) | 13 (27.7%) | 6 (12.8%) | |
| Not sure | 43 (7.4%) | 22 (51.2%) | 16 (37.2%) | 5 (11.6%) | |
| Reasons | |||||
| Workload (number or type of patients) | 292 (50.2%) | 89 (30.5%) | 91 (31.2%) | 112 (38.4%) | 0.057 |
| Noncooperative administration | 257 (44.2%) | 59 (23.0%) | 85 (33.1%) | 113 (44.0%) | <0.001 |
| Long working hours | 172 (29.6%) | 55 (32.0%) | 52 (30.2%) | 65 (37.8%) | 0.428 |
| Low salary | 128 (22.0%) | 40 (31.3%) | 43 (33.6%) | 45 (35.2%) | 0.781 |
| Nonclinical load (research or teaching) | 111 (19.1%) | 32 (28.8%) | 34 (30.6%) | 45 (40.5%) | 0.228 |
| Conflict with colleagues | 102 (17.5%) | 22 (21.6%) | 38 (37.3%) | 42 (41.2%) | 0.015 |
| Conflict with boss | 88 (15.1%) | 21 (23.9%) | 29 (33.0%) | 38 (43.2%) | 0.057 |
| None of the above | 39 (6.7%) | 27 (69.2%) | 9 (23.1%) | 3 (7.7%) | <0.001 |
| Other | 71 (12.2%) | 26 (36.6%) | 23 (32.4%) | 22 (31.0%) | 0.827 |
| Thoughts | |||||
| Changing hospital/medical institute | 310 (53.3%) | 86 (27.7%) | 104 (33.5%) | 120 (38.7%) | 0.002 |
| Working outside Saudi Arabia | 243 (41.8%) | 63 (25.9%) | 81 (33.3%) | 99 (40.7%) | 0.001 |
| Moving to administrative/nonclinical work | 61 (10.5%) | 12 (19.7%) | 20 (32.8%) | 29 (47.5%) | 0.020 |
| Leaving medicine altogether | 96 (16.5%) | 18 (18.8%) | 29 (30.2%) | 49 (51.0%) | <0.001 |
| Moving to a nonacademic institute | 28 (4.8%) | 8 (28.6%) | 7 (25.0%) | 13 (46.4%) | 0.349 |
| None of the above | 121 (20.8%) | 67 (55.4%) | 35 (28.9%) | 19 (15.7%) | <0.001 |
| Other | 35 (6.0%) | 12 (34.3%) | 11 (31.4%) | 12 (34.3%) | 0.994 |
| Actions | |||||
| Changing hospital/medical institute | 222 (38.1%) | 56 (25.2%) | 80 (36.0%) | 86 (38.7%) | 0.003 |
| Working outside Saudi Arabia | 87 (14.9%) | 27 (31.0%) | 21 (24.1%) | 39 (44.8%) | 0.050 |
| Moving to administrative/nonclinical work | 58 (10.0%) | 10 (17.2%) | 22 (37.9%) | 26 (44.8%) | 0.017 |
| Leaving medicine altogether | 31 (5.3%) | 10 (32.3%) | 8 (25.8%) | 13 (41.9%) | 0.581 |
| Moving to a nonacademic institute | 13 (2.2%) | 2 (15.4%) | 3 (23.1%) | 8 (61.5%) | 0.140 |
| None of the above | 254 (43.6%) | 111 (43.7%) | 78 (30.7%) | 65 (25.6%) | <0.001 |
| Other | 30 (5.2%) | 7 (23.3%) | 12 (40.0%) | 11 (36.7%) | 0.430 |
| Had wishes of dying in the last year (passive suicidal ideation) | |||||
| No or rarely | 548 (94.2%) | 195 (35.6%) | 177 (32.3%) | 176 (32.1%) | <0.001 |
| Yes | 34 (5.8%) | 2 (5.9%) | 11 (32.4%) | 21 (61.8%) | |
| Had thoughts of ending your life in the last year (active suicidal ideation) | |||||
| No or rarely | 578 (99.3%) | 197 (34.1%) | 185 (32.0%) | 196 (33.9%) | 0.127 |
| Yes | 4 (0.7%) | 0 (0.0%) | 3 (75.0%) | 1 (25.0%) | |
| Educated or trained in stress management | |||||
| No | 461 (79.2%) | 154 (33.4%) | 148 (32.1%) | 159 (34.5%) | 0.808 |
| Yes | 121 (20.8%) | 43 (35.5%) | 40 (33.1%) | 38 (31.4%) |
Note: Data shown as number (percentage).
Abbreviation: PSS, perceived stress scale.
Results
A total 582 participated consultants were included in the current analysis. The median and IQR of PSS score was 17 (14–21) while the mean ± SD was 17.7±5.4. The average PSS score represented 44% of the maximum possible score of the test. Approximately 33.8% of the consultants had a PSS score ≥20 (upper tertile).
Table 1 shows the sociodemographic and clinical characteristics of the participated consultants. They had an average age of 46.9±7.9 years. They were typically married (93%), males (71%), and Saudi (56%). The majority (91%) of the consultants had children, with 77% of them had three or more children. Most (68%) of the consultants slept ≤6 hours per day and 15% were smokers. Up to 15% of the consultants had one or more chronic medical illness, with hypertension (6%), diabetes (5%), and heart disease (2%) among the most common. Only 5% of the consultants had a personal history of psychiatric disorders that included depression (3.8%) and anxiety (1.4%), whereas 7% of the consultants had received professional psychological help. When the sociodemographic and clinical characteristics were compared between stress groups, the upper tertile of the PSS score (which represented a high stress level) was significantly associated with younger age (P=0.001), female gender (P<0.001), and Saudi nationality (P<0.001). Additionally, significant correlations were detected between PSS score and age (r=−0.168, P<0.001) as well as daily sleeping hours (r=−0.117, P=0.005).
Table 2 shows work-related characteristics among the participated consultants. Most of the consultants were working in public hospitals, either alone (75%) or with private hospitals (8%). The consultants were distributed into at least 14 specialties, with the most common being internal medicine, surgery, pediatrics/neonatology, obstetrics and gynecology, family medicine, anesthesiology, psychiatry, radiology, and laboratory. The average number (median and IQR) of the on-calls was 7 (4–10) on-calls per month and the average number (median and IQR) of the served ward patients was 10 (4–20) patient per week. The majority (61%) had an income of at least SR 40,000 (~ $10,667) per month, with 54% who were satisfied with their income and 34% who were dissatisfied with their income. No significant correlations were detected between PSS score and the number of on-calls per month (r=−0.004, P=0.582) or the number of served ward patients for per week (r=−0.056, P=0.177). Additionally, none of the other work-related characteristics was significantly associated with the level of stress.
The responses to the 10 items of PSS that comprise the consultants’ feelings over the month preceding the survey were variable. Regarding negative feelings, 39% of the consultants (fairly or very) often felt nervous and stressed. Similarly, 35% of the consultants often felt upset because of unexpected occurrences, whereas 28% often felt angered because of things that were outside of their control. For positive feelings, 73% of the consultants often felt confident regarding their ability to handle their personal problems, whereas 61% often felt that they were able to control irritations in their life. Similarly, 49% of the consultants often felt that they were on top of things and 46% felt that things were going their way.
Table 3 shows stressors and ideations among participated consultants. Almost all (98%) consultants reported facing one or more life stressors over the past year. The most common were work-related (69%), family (41%), financial (25%), marital (19%), health (19%), and academic (17%) stressors. The majority (85%) considered their job environment to be stressful. The most commonly reported causes were workload (50%), noncooperation from the administration (44%), working long hours (30%), low salary (22%), and nonclinical loads such as research and teaching (19%). The most frequently reported thoughts and actions related to work-related stress were changing hospital/medical institute (53% and 38%, respectively), working outside Saudi Arabia (42% and 15%, respectively), and moving to administrative/nonclinical work (11% and 10%, respectively). Approximately 5.8% had passive suicidal ideations and 0.7% had active suicidal ideation over the last year. Only 21% of participants were educated or trained in stress management. Facing one or more life stressors over the last year, considering the job environment to be stressful, or having passive suicidal ideations over the previous year were significantly associated with a higher level of stress (P<0.001 for all).
As shown in Table 4, when risk factors were significantly (even marginally) associated with perceived stress in the univariate analysis (including age, gender, nationality, number of children, hours of sleep, type of work facility, monthly income, and the perception of a stressful work environment) were entered into multivariate logistic regression analysis, the following factors remained in the model and were independently associated with (the highest tertile of) perceived stress: female gender (odds ratio [OR]=2.41, 95% CI 1.58–3.70) and the perception of a stressful work environment (OR=3.66, 95% CI 1.87–7.17). Presence of life stressors was removed from the model due to strong collinearity with stressful working environment. Having passive suicidal ideation in the past year was not entered in the model, as it was probably an outcome rather than a risk factor.
Table 4.
Multivariate logistic regression for potentially predictive factors* of higher perceptions of stress among consultant physicians in Saudi Arabia (n=528)
| Variables | Odds ratio | 95% CI
|
P-value | |
|---|---|---|---|---|
| Lower | Upper | |||
| Gender: female vs. male | 2.41 | 1.58 | 3.70 | <0.001 |
| Perceived stressful working environment: yes vs. no | 3.66 | 1.87 | 7.17 | <0.001 |
Notes:
Variables entered in the model included age, gender, nationality, number of children, hours of sleep, type of work facility, monthly income, and stressful working environment. As shown above, female gender and the perception of a stressful work environment were the only two variables to remain in the model after backward elimination.
Discussion
To the best of our knowledge, this is the first nationwide study in Saudi Arabia that explored the rate of stress and its risk factors and consequences among consultant physicians across all specialties. The median PSS score in our study was 17 (IQR 14–21), which means that our consultants experienced a stress level that is 44% of the highest possible stress level that can be detected by the tool. This moderate to high level of stress among our consultant physicians is relatively comparable to what has been reported worldwide. There are numerous studies from various parts of the world that have evaluated the presence of stress or risk factors for stress among physicians.2,6,9,17–31 However, we struggled to compare the findings from these studies because they used different tools to assess the presence of stress, study populations were varied, and validated stress scales to evaluate the presence of stress were used in only a few. For example, the average PSS was 15.5 among Emergency Physicians in Jamaica.32 The 2003 Canadian Community Health Survey that included 75,184 subjects, indicated that health care providers are far more likely than employed people in general to feel that their jobs are highly stressful; however, physicians and nurses reported the most stress, even when influences outside of the health care setting were taken into consideration.33 In England, 47% of consultant physicians scored positively on a different stress scale (the 28-item general health questionnaire) compared with 27% in the general population.9 Among Dutch medical specialists, 55% reported experiencing high or very high levels of stress.31
A literature search in the PubMed and Google Scholar databases did not find any studies that used the PSS to study stress among consultant physicians in Saudi Arabia. An old local study of one academic hospital in Riyadh found that 21% of the recruited physicians were “stressed to the limit” and 1.8% were stressed to a level of distress or impairment.10 Perceived stress measured by PSS among health care professionals has negative correlation with mindfulness, emotional intelligence, and subjective well-being scales but positive correlation with burnout scales.34,35 We used the PSS tool to detect the perceived stress among our consultants because it is a validated, short, easy-to-use, and popular stress questionnaire with established acceptable psychometric properties.15,16 Additionally, it has been validated in different populations including Arabs.36 Furthermore, it has been used locally to study stress among different levels of health professional such as medical residents,37 medical students,38 and dental students.39 Interestingly, the local studies that used the same tool reported a higher mean PSS score than that of consultants in the current study. For example, the PSS score was 22 among medical residents,37 21 among medical students,38 and 23 among dental students.39 Other local studies that used the Kessler-10 psychological distress inventory found a high prevalence of stress among junior doctors during their internship training (73.0%),40 during medical residency (70.4%),41 and during the medical school (63%).42 Although there are no known normative data regarding the use of the PSS in Saudi Arabia, stress among consultants is probably higher than that of the general population. For instance, the normative data of the PSS based on a representative community US sample found a PSS score of 12.0±5.9 in males and 13.7±6.6 in females.14
Across specialties, our study has suggested that specialties frequently associated with high levels of stress were obstetrics/gynecology and radiology, followed by family Medicine. The long/unpredictable working hours and fear of patient complications among obstetrics/gynecology consultants and the large number of patients with wide range of complaints/management protocols seen by family physicians may explain these higher levels of stress.25,43 For radiologists, major sources of stress were suggested to be work overload, insufficiencies in staffing, facilities, and funding as well as impositions made on radiologists by other clinicians.44 However, this finding should be interpreted cautiously as it was derived from a limited number of radiologists (only 3.4% of the sample). Similar to the current finding, 43% of family physicians25 and 26% of gynecologic oncologists in Canada experienced high levels of stress.43 A local study compared three postgraduate residency training programs and found that the highest levels of stress were in emergency medicine, followed by internal and family medicine.41
In our study, we found female gender and the perception of a stressful working environment to be associated with higher perceived stress in a multivariate logistic regression analysis. Consistent with the current study, previous international studies have reported higher stress levels among female physicians compared with male physicians.17,45 Similarly, Saudi studies found a higher prevalence of stress among female residents,37 interns,40 and medical42 and dental39 students compared with their male counterparts. The gender-specific difference regarding stress has been attributed to the challenges of balancing family and career in a male-dominated profession and to the prejudice women experience from patients and colleagues alike.46 A nationwide survey of >3,000 Finnish physicians indicated that combining work and family was the most common reason for stress among females.22 The female physicians had made compromises between family and work more frequently than their male counterparts (ie, restricted the number of children, postponed having children, given up postgraduate or continuing medical education, worked part-time because of family, and given up a job because of the spouse’s need to move).22
Moreover, our study found that the perception of a stressful working environment was associated with a higher perception of stress. Similar findings were found among physicians in Saudi Arabia,47 the United Arab Emirates,17 Kuwait,48 Pakistan,29 Iran,19 and surgeons in the USA.49 Additionally, similar findings were observed among residents in Saudi Arabia.37 In our study, the vast majority of consultants considered their job environment to be stressful and almost half attributed that to having a high workload and a noncooperative administration. In the year preceding our survey, nearly half of the consultants frequently contemplated and even began action toward changing their hospitals/medical institutes or even moving to work outside of Saudi Arabia because of the perception of a stressful work environment. Another Saudi study among hospital staff showed that insufficient technical facilities, absences of appreciation, long working hours, short breaks, occurrences of health problems, changing hospitals, changing jobs, quitting practices, and undesired relationships with coworkers were found to correlate to job-related stress.47
Approximately 6% of consultants had frequent passive suicidal ideation, and 1% of them had frequent active suicidal ideation within the year prior to completing our survey. These suicidality figures are probably higher than the general Saudi Arabian population.50 A systematic review of 14 international studies found that the relative risk for suicide in physicians is between 1.1 and 3.4 for men and 2.5–5.7 for women compared with the general population and from 1.5 to 3.8 in males and from 3.7 to 4.5 in females compared with other professionals.51 It has been found that untreated mental illness is an important comorbidity for physicians who complete a suicide.52 Therefore, inadequate treatment and job-related stress are potentially modifiable risk factors that can reduce the rate of suicide among physicians.52
Unfortunately, most of the consultants in our study were neither educated nor trained in stress management. However, such education/training has not been associated with a lower stress level in the currently examined consultant population. This unexpected observation may be related to insufficient content or duration of such education or training or to the lack of organization-based interventions. A recent meta-analysis showed that while doctor-focused strategies are imperative, they are associated with small benefits unless boosted by implementation of organization-directed approaches, such as an improved work environment and an improved organizational culture.53
The current study used a national database to recruit a good number of consultants across several specialties and locations and used a well-validated tool to examine stress. Nevertheless, we acknowledge that there were some limitations. The cross-sectional study design precluded the finding of any causal association and self-reported data may lead to reporting bias. The convenience sampling and low response rate may negatively impact the generalizability of the current findings.
In conclusion, consultant physicians in Saudi Arabia experience moderate to high levels of perceived stress that are relatively comparable to the perceptions of stress reported by physicians worldwide. A significant association was found between stress level and both the female gender and the perception of a stressful work environment. We identified several institutional, professional, and personal stressors. Unfortunately, most of the consultants were neither educated nor trained in stress management. Further studies are required to assess physician-based interventions and organization-directed approaches to manage stress among physicians.
Acknowledgments
The authors extend their appreciation to the deanship of scientific research, King Saud University for funding this work through the Student’s Research Support Program, project no. USRSP-17-24. Furthermore, the authors would like to express their gratitude to Ashry Mohamed (Professor of Epidemiology and Family and Community Medicine), Abdulaziz Alzeer (Associate Professor of Medicine, Critical Care and Ethics), Mohammed Fouda (Professor of Cardiac Surgery), Mohammed Alzoghaibi (Associate Professor of Physiology), and Fatima Al Haider (Professor of Child and Adolescent Psychiatry) for their assistance in validation of the study questionnaire. Additionally, the authors thank Dr Aiman El-Saed (Assistant Professor of Epidemiology and Biostatistics) for his assistance in data analysis. The work was not supported or funded by any drug company. The data that support the findings of this study are available from the Saudi Commission for Health Specialties, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Saudi Commission for Health Specialties.
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
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