Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis

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Supplemental material, sj-docx-2-hme-10.1177_23333928211046484 for Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis by Zelalem Tenaw, Melese Siyoum, Berhan Tsegaye, Tehsale Biku Werba and Zebenay Workneh Bitew in Health Services Research and Managerial Epidemiology

Abstract

Background

Health professionals’ job satisfaction is crucial for health professionals' life which determines health care service quality. This study aimed to estimate pooled prevalence of job satisfaction of health professionals and associated factors in Ethiopia.

Methods

Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) was followed to prepare this study. Studies were searched from PubMed (EBSCOhost), Directory of open access journals (DOAJ), Global health, African Index Medicus, IRIS (WHO digital publication), African Journals Online (AJOL), Google Scholar, and Google. Random-effect model was used to estimate the pooled prevalence of job satisfaction and associated factors. Heterogeneity was assessed using I 2 test statistics. Publication bias was checked using funnel plot, Egger's regression test, and sensitivity analysis.

Result

The pooled prevalence of health professionals’ job satisfaction was computed from 35 studies, and it was 46.68% (95%, confidence interval (CI): 41.82, 51.54, I 2 = 95.8%). Specifically, job satisfaction was 57.56%, 48.80%, 48.57%, 48.48%, 44.56%, 39.20%, and 16.5% among pharmacy professionals, health officers, midwives, nurses, anesthetists, physicians, and health extension workers, respectively. Secured working environment (pooled odds ratio [POR] = 6.50, 95% CI: 3.41-9.58), coworkers relationship (POR = 5.14, 95% CI: 1.27, 9.02), good relationship with supervisors (POR = 5.86, 95% CI: 2.56-9.16) and having bachelor's degree (POR = 2.52, 95% CI: 1.31, 3.72) were significantly associated with job satisfaction.

Conclusion

Job satisfaction among Ethiopian health professionals is considerably low. Secured working environment, positive relationships among staff, and having a bachelor's enhanced the job satisfaction. Designing strategies to improve safety in the work environment and improved communication among workers could improve job satisfaction.

Keywords: meta-analysis, health professionals, job satisfaction, associated factors, ethiopia

Background

Job satisfaction is how pleased an individual is with his/her job or the positive feeling individuals have about their jobs, their career, and for whom they work. 1 Health professionals' job satisfaction is vital in improving the performance of health professionals, refining health care services, and upsurge the level of patient satisfaction. 2 If an organization is intended to use all resources most effectively, it is important to maximize employee productivity through addressing factors that compromise job satisfaction. 3 The likelihood of patient satisfaction that got health care service by an unsatisfied health professional is very minimal. Greater health care providers' job satisfaction is associated with better patient satisfaction. 4

The World Health Organization's (WHO) global strategy on health workforces for 2030 outlines that health professionals have the right to have safe and decent working environments and have freedom from all kinds of discrimination, coercion, and violence. 5 In the world, mainly in developing countries, health professionals' job satisfaction is low due to different factors. This is supported by previous studies conducted in different parts of the world. The study findings in Nigeria (3.1%), 6 South Africa (52.1%), 7 Pakistan (14%-41%) 8,9 Nepal (76%), 10 and South rand hospital (20.4%) 11 substantiated this fact. In Ethiopia, several studies with inconsistent findings were conducted about health professionals’ job satisfaction and associated factors. Despite this, the findings are inconclusive due to remarkable discrepancies among the study findings. The variation is attributed to factors like professional differences and regional variations (16.5% in Oromia region 12 vs 74.4% in Harari region). 13

Multitudes of factors were reported to affect health professionals’ job satisfaction in the world. Some of the possible factors were as follows: personal characteristics of leaders, managerial competencies of leaders, 14 working environment, job description and time pressure, 8 work environments, poor fringe benefits, dignity, the responsibility given at workplace and time pressure, 9 responsibility, opportunity to develop, staff relations and patient care, 10 opportunity to develop, responsibility, patient care and staff relations. 11 Besides, security in work environment, 15 –19 coworkers relationship, 15,17,20,21 positive supervisor relationship, 15,17,19,22 having autonomy, 15,23 organizational commitment, 15,17 promotion opportunity, 15 –17,23 being female, 22,24,25 marital status, 12,19,22 having bachelor of science, 22,26 –28 workload, 22,28 being male, 29,30 service year, 31,32 recognition at work, 16,17,33 salary, 17,19 intention to stay, 18,25,33 management and leadership, 23,34 and being a midwife 18,25 were factors identified to be associated with health professionals’ job satisfaction in Ethiopia.

See supplementary file/material for Critical appraisal and factors associated.

The government of Ethiopia tried to improve health professionals' job satisfaction by increasing their salary, duty payment, risk allowance, and implementing Job Evaluation and Grading (JEG). Nonetheless, the health professionals' job satisfaction remains as low as 16.5% in the Oromia region 12 and as high as 74.4% in the Harari region. 13

Thus, this systematic review and meta-analysis aimed to determine the pooled prevalence of health professionals’ job satisfaction and associated factors in Ethiopia. The findings will be very informative for policy-makers and program planners in designing different strategies to enhance health professionals’ job satisfaction and to improve the overall quality of patient care.

Methods

Study Selection and Searching Strategies

Multiple sources were explored to retrieve eligible articles. Databases such as PubMed (EBSCOhost), CINAHL, Science Direct, Global health, African Index Medicus, IRIS (WHO digital publication), African Journals Online (AJOL), and other non-electronic sources (Google Scholar and Google) were searched to get articles. A comprehensive literature search was conducted by two investigators (ZT and ZWB), independently. Searching was conducted using the following key terms: (determinants OR associated factors OR barriers OR predictors) AND (health professionals) OR (health workers) OR (health care providers) OR (Physicians) OR (Midwives) OR (Nurses) OR (Anesthetists) OR (Pharmacy professionals) OR (Pharmacists) OR (Optometry) OR (Optometry professionals) OR (Laboratory professionals) OR (Health extension workers) OR (Public health officers) OR (Health officers) AND (Job satisfaction) AND (Ethiopia). The appropriateness of key terms was verified before the actual search. EndNote × 8 reference manager was used to manage literature. 35

Eligibility Criteria

To conduct this systematic review and meta-analysis, the Preferred Reporting Items Systematic Review and Meta-Analysis (PRISMA) 36 guideline was followed. Study results were explored and evaluated for eligibility using study area, study setups, title, abstract, and full texts before inclusion in this study. Published articles, surveys, and unpublished articles that were conducted in the English language were explored and included in this study. The reference lists of the studies were also searched for additional articles. All articles published until June 2020 were included in the current study. Conference proceedings, qualitative studies, reviews, commentaries, editorial letters, case series/reports, and patient stories were excluded from the present meta-analysis.

Data Abstraction and Critical Appraisal of the Studies

The authors (ZT, TBW and ZWB) conducted data extraction independently from eligible studies using the standardized data extraction format. The data extraction format include: name of the author (s), publication year, study region, study design, sample sizes, event/prevalence, study setting, assessment tools, associated factors, and study population. Joanna Briggs Institute(JBI) checklists of cross-sectional and cohort studies 37 were used to assess the qualities of the studies. Critical appraisal was done by the two investigators (ZT and ZWB), independently and blindly. The tools have yes, no, not applicable, and unknown options. One was given for yes and zero for the other options. The scores were summed up and changed to percentages. Studies with >50% quality score were included in this meta-analysis (Additional file 1) . The averages of the two reviewers were used for the final decision for inclusion of the studies. During the critical appraisal, the other two authors (MS and BT) had a great role in solving the disagreement between the two raters (ZT and ZWB).

Operationalization of the Outcomes and Measurement Tools

The main outcomes of this study were health professionals’ job satisfaction and associated factors in Ethiopia. Health professionals are all health workers in Ethiopia (physicians, Nurses, Midwives, Anesthetists, Pharmacy professionals, Optometry professionals, Laboratory professionals, Dentistry professionals, Public health officers, and health extension workers). The factors affecting health professionals’ job satisfaction were identified by using the odds ratios from the included studies. The binomial distribution formula was used to compute the standard errors for each original study. The “metan” commands were used to compute the pooled estimates using STATA (version 15) software. The pooled estimates were presented with their 95% confidence interval (CIs). In the original studies, health professionals' job satisfaction was measured by different assessment tools such as the Likert scale, mean score, Minnesota satisfaction tool, multi-item scale, demarcation threshold formula, pleasurable/positive emotion, data-driven classification system, and proportion tools.

Statistical Methods and Analysis

STATA Version 15 (STATA Corporation, College Station Texas) software was used to compute the pooled estimates. Both random-effect and fixed effect models were employed to compute the pooled estimates. In the presence of higher heterogeneity among studies, the pooled estimates were computed using random-effects models and were weighted using the inverse variance method. Subgroup analysis was performed by using the study population and assessment tool. The appropriateness of each datum was verified before the analyses of the pooled estimates. The results of this meta-analysis were presented using forest plots, summary tables, and texts.

Publication Bias and Heterogeneity

The asymmetry of funnel plot and Egger's regression test at a 5% significant level 38 were used to assess publication bias. Heterogeneity among included studies was explored using forest plot, I 2 test, and the Cochrane Q statistics. 39 The I 2 values of 25%, 50%, and 75% were interpreted as a low, medium, and high heterogeneity, respectively. 40 In this meta-analysis, significant heterogeneity was considered when the I 2 value was ≥50%, with a P-value

Results

Selection of Eligible Studies

In the initial search, a total of 235 342 articles were identified of which 2540 articles were removed due to duplication and 22 881 articles were screened using title and abstract. After reading titles and abstracts, 22 842 studies were removed. The full texts of 38 articles were assessed for eligibility criteria. Three studies were excluded due to different outcomes. Finally, 35 articles 2,12,13,15 –34,41 –52 were included in the final analysis of the current systematic review and meta-analysis ( Figure 1 ).

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The PRISMA flowchart showing the selection process of studies.

Characteristics of Included Studies

All studies included in this systematic review and meta-analysis were cross-sectional studies 2,12,13,15 –34,41 –52 The included studies were published between 2011 and 2020. Among the studies included in this systematic review and meta-analysis, nine were conducted at the national level, 10 in the Oromia region, six in the Amhara region, four studies in Addis Ababa, three in the Harari region, one study in Tigray, and one in Southern Nations and Peoples Region (SNNPR). From the studies included, two studies were used for factor analysis but not in pooled prevalence analysis 20,23 The sample size of the included studies ranged from 43 in the Harari region 13 to 792 in a study conducted at the national level. 47 In this systematic review and meta-analysis, 9090 health professionals were included. The qualities of articles were also assessed using the JBI checklist, and eight articles had the medium quality and 26 articles were categorized under high quality ( Table 1 ).

Table 1.

Summary of 35 Included Studies on Health Professionals Job Satisfaction in Ethiopia.

Health professionals job satisfaction in Ethiopia
Sr. NoAuthor, yearRegionStudy designAssessment toolStudy populationSample sizeEventQuality score
1Mohammed et al. 2020OromiaCross-sectionalLikert scaleHealth professionals264113High
2Bekru et al. 2017Addis AbabaCross-sectionalLikert scaleMidwives221117High
3Sahile, 2020Addis AbabaCross-sectionalMean scoreNurses390138High
4Yimam et al. 2017Addis AbabaCross-sectionalMean scoreHealth professionals300111High
5Abera Merga, 2017Addis AbabaCross-sectionalLikert scaleNurses13534High
6Enyew, 2017AmharaCross-sectionalLikert scaleAnesthetists9846High
7Kibwana et al. 2018NationalCross-sectionalLikert scale Anesthetists252 108High
8Teka, 2018OromiaCross-sectionalN/AHealth professionalsN/AN/AHigh
9Ayalew and Workineh, 2019AmharaCross-sectionalDemarcation threshold formulaNurses22096High
10Meselu et al. 2020TigrayCross-sectionalLikert scaleMidwives14061High
11Ayele and Abraham, 2020OromiaCross-sectionalLikert scaleHealth extension workers26043High
12Ayele et al. 2020Eastern EthiopiaCross-sectionalLikert scalePharmacy professionals22072High
13Merga and Fufa, 2019OromiaCross-sectionalLikert scaleHealth professionals415160Medium
14Admasu et al. 2018)OromiaCross-sectionalMean scoreNurses9847Medium
15Desalegn et al. 2015NationalCross-sectionalPleasurable/ positive emotionalAnesthetists242111High
16Semachew et al. 2017NationalCross-sectionalData-driven classification systemNurses316213Medium
17Hotchkiss et al. 2015NationalCross-sectionalLikert scaleHealth professionals792568Medium
18Tadese et al. 2015Addis AbabaCross-sectionalLikert scaleHealth professionals304107High
19Azagew and Mekonnen, 2020AmharaCross-sectionalMinnesota satisfaction measurement toolNurses406203High
20Sendekie et al. 2020NationalCross-sectionalLikert scalePhysician and HO502221High
21Mohammed et al. 2019HarariCross-sectionalLikert scalePharmacy professionals7340High
22Mengesha and Tigabu, 2014HarariCross-sectionalLikert scalePharmacy professionals4332Medium
23Geleto et al. 2015HarariCross-sectionalMulti-item scalesHealth professionals405179High
24Manyazewal and Matlakala, 2017NationalCross-sectionalLikert scaleHealth professionals406199High
25Abadiga et al. 2019OromiaCross-sectionalLikert scaleNurses252130Medium
26Belay and Practice, 2016TigrayCross-sectionalLikert scalePharmacy professionals6041Medium
27Gedif et al. 2018AmharaCross-sectionalLikert scaleHealth professionals383207High
28Ahmed et al. 2013OromiaCross-sectionalLikert scalePharmacy professionals9759High
29Ayalew et al. 2019NationalCross-sectionalLikert scaleNurses424258High
30Asegid et al. 2014Southern Nationtions Nationalities and Peoples Regional StateCross-sectionalLikert scaleNurses242N/AHigh
31Deriba et al. 2017OromiaCross-sectionalLikert scaleHealth professionals320133High
32Mengistu and Bali, 2015OromiaCross-sectionalLikert scaleHealth professionals16658High
33Temesgen et al. 2018AmharaCross-sectionalMean scoreHealth professionals575183High
34Haile et al. 2017AmharaCross-sectionalLikert scaleNurses17696High
35Yami et al. 2011OromiaCross-sectionalProportionHealth professionals14578Medium

The Pooled Prevalence of Health Professionals’ job Satisfaction in Ethiopia

Thirty-four articles 2,12,13,15 –34,41 –52 were used to compute the pooled prevalence of health professionals’ job satisfaction. It was found that 46.68% (95%, CI: 41.82, 51.54) of health professionals had satisfaction in their job with a remarkable heterogeneity among the included studies (I 2 = 95.8%, P < .01).

Subgroup Analysis

As illustrated in Figures 2 and ​ and3, 3 , subgroup analyses were done using the study population and assessment tool. This is done to explore the possible sources of heterogeneity of the included studies. The subgroup analyses were done using study population and the assessment methods (tools) of job satisfaction. However, heterogeneities within and between the included studies remained high. According to the study population; pharmacy professionals had the highest job satisfaction (57.56%, 95% CI: 40.80, 74.33, I 2 = 93%, P < .01) but health extension workers had the lowest job satisfaction (16.50%, 95% CI: 11.99, 21.01). The pooled prevalence of job satisfaction using primary studies conducted among all health professionals only was also computed and it was found that 44.50% (95% CI: 36.17, 52.83, I 2 = 97.1%, P < .01) were found to be satisfied in their job (Figure 2 ).

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Forest plot showing health professionals job satisfaction in Ethiopia, 2020.

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Forest plot showing health professionals' job satisfaction based on job satisfaction measurement in Ethiopia, 2020.

Similarly, subgroup analysis was done using the assessment tool and health professionals job satisfaction was found to be higher in studies classified as others including Minnesota satisfaction tool, multi-item scale, demarcation threshold formula, pleasurable/positive emotion, data-driven classification system, and proportion tools (50.79%, 95% CI: 43.01, 58.57, I 2 = 90.0%, P < .01). But, health professionals' job satisfaction was low among studies conducted assessed with a mean score assessment tool (36.53%, [95% CI: 31.54, 41.51, I 2 = 70.1%, P = .018] [ Figure 3 ]).

Publication Bias and Heterogeneity

Both the funnel plot and Egger's regression test (P = .911) showed that there is no publication bias ( Figure 4 ). Since there was heterogeneity between studies, we tried to identify the source of heterogeneity by doing univariate meta-regression on prevalence and sample size. However, the result revealed that the sample size was not the source of heterogeneity (B = −0.0004014, P = .978) ( Figure 5 ). Finally, sensitivity analysis was done to identify the possible sources of heterogeneities among studies. It was done to evaluate if the pooled estimates were altered by the exclusion of any single study. However, all of the studies contributed to the heterogeneity of the pooled estimates ( Figure 6 ).

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Funnel plot showing the possible sources of bias of health professionals’ job satisfaction in Ethiopia, 2020.

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The meta-regression between sample size and prevalence.

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Factors Associated with Health Professional's job Satisfaction in Ethiopia

In this systematic review and meta-analysis, working environment security, coworkers relationship, having good relationship of supervisors with ordinary staffs, and having BSc degree were found to have statistical significant association with health professional's job satisfaction. The likelihood of job satisfaction among health workers who work in secured work environment was 6.50 times than those working in in-secured work environment (pooled odd ratio [POR] = 6.50, 95%, CI: 3.41, 9.58, I 2 = 83.0%, P < .01). The presence of positive relationship coworkers was found to increase the likelihood of job satisfaction of health professionals in Ethiopia (POR = 5.14, 95%, CI: 1.27, 9.02, I 2 = 90.1%, P < .01). Likewise, job satisfaction among health professionals was 5.86 times higher in those professionals having a good relationship supervisor than those having a poor relationship with supervisors (POR = 5.86, 95%, CI: 2.56, 9.16, I 2 = 79.6%, P = .002). Besides, health professionals having BSc degree were 2.52 times more likely to be satisfied in their job as compared to the counter-part professionals with diploma level or lower (POR = 2.52, 95% CI: 1.31, 3.72, I 2 = 70.1%, P = .018) ( Table 2 ).

Table 2.

Factors Associated With Health Professionals’ Job Satisfaction in Ethiopia.

FactorsIncluded studiesOR (95% CI)Pooled OR (95% CI)Heterogeneity
Working environment securityMohammed et al. 202011.47 (7.03, 18.44)6.50(3.41-9.58)*I 2 = 83.0%, P = .000
Ayalew and Workineh, 201921.26 (9.62, 47.13)
Azagew and Mekonnen, 202013.38 (8.30, 21.56)
Geleto et al. 20154.33 (3.46, 5.86)
Gedif et al. 20182.44(1.48, 4.02)
Coworkers relationshipMohammed et al. 20205.53 (3.58, 8.54)5.14 (1.27-9.02)*I 2 = 90.1%, P = .000
Teka, 20184.47 (2.49, 8.01)
Tadese et al., 20151.06 (0.89, 1.28)
Azagew and Mekonnen, 202019.47 (11.74, 32.29)
Good supervisor relationshipMohammed et al., 20206.66 (6.25, 10.45)5.86 [2.56 to 9.16]*I 2 = 79.6%, P = .002
Bekru et al., 20175.64 [3.15, 10.80]
Azagew and Mekonnen, 202010.46 [6.61, 16.55]
Gedif et al., 20182.65 [1.73, 4.05]
Having authonomyMohammed et al., 20207.67 [4.89, 12.05]0.99 [0.04, 1.95]I 2 = 67.3%, P = .080
Asegid et al., 201423.57 [11.87, 46.80]
Organizational commitmentMohammed et al., 20204.51 [2.94, 6.91]7.38 [0.82, 13.95]I 2 = 80.3%, P = .024
Azagew and Mekonnen, 202011.29 [7.03, 18.14]
Promotion opportunityMohammed et al., 202013.97 [8.56, 22.76]7.95 [5.12, 10.79]I 2 = 35.7, P = .198
Ayalew and Workineh, 20195.98 [3.31, 10.79]
Azagew and Mekonnen, 20209.08 [5.77, 14.27]
Asegid et al., 20146.28[3.75, 12.11]
Being femaleBekru et al., 20173.11 [1.71, 5.67]1.75 [0.62, 2.88]I 2 = 58.8%, P = .088
Desalegn et al., 20151.12 [0.95, 1.32]
Mengistu and Bali, 20151.99[1.02, 4.33]
Marital statusBekru et al., 20170.99 [0.56, 1.76]1.42 [0.75, 2.08]I 2 = 47.0%, P = .152
Ayele and Abraham, 20202.71 [1.42, 5.15]
Gedif et al., 20181.55 [1.03, 2.33
BSc degreeBekru et al., 20173.20 [1.71, 6.01]2.52 [1.31, 3.72]*I 2 = 70.1%, P = .018
Sahile, 20201.60 [0.96, 2.69]
Ayele et al., 20201.70[0.90, 3.00]
Temesgen et al., 20184.40[3.03, 6.39]
Low workloadBekru et al., 20178.22 [4.49, 15.20]5.49 [2.40, 8.58]I 2 = 37.5%, P = .206
Temesgen et al., 20184.58 [3.14, 6.69]
Being maleEnyew, 20172.05 [0.74, 5.64]1.94 [1.53, 2.34]I 2 = 0.0%, P = .383
Ayalew et al., 20190.95 [0.69, 130]
Service ≥ 10 yearsKibwana et al., 20183.52 [1.61, 7.69]3.49 [0.47, 6.51]I 2 = 78.5%, P = .856
Mohammed et al., 20191.13 [1.09, 52.32]
Recognition at workAyalew and Workineh, 20197.88 [4.19, 14.81]7.87 [0.35, 15.39]I 2 = 86.9%, P = .000
Azagew and Mekonnen, 202016.97 [10.26, 28.05]
Sendekie et al., 20202.04 [1.56, 2.67]
Enough salaryAzagew and Mekonnen, 20205.43 [3.55, 8.31]3.42 [-0.16, 7.00]I 2 = 87.9, P = .004
Gedif et al., 20181.76 [1.14, 2.71]
Intention to staySendekie et al., 20201.69 [1.47, 1.95]1.72 [1.49, 1.95]I 2 = 0.0%, P = .402
Geleto et al., 20152.32 [1.55, 3.46]
Mengistu and Bali, 20151.24[1.11, 4.91]
Good management and leadershipManyazewal and Matlakala, 20174.61 [2.90, 7.33]12.83 [-7.22, 32.88]I 2 = 77.9%, P = .034
Asegid et al., 201425.56 [12.77, 51.15]
Being a midwifeGeleto et al., 20151.15 [1.01, 1.78]1.16 [0.77, 1.54]I 2 = 0.0%, P = .721
Mengistu and Bali, 20151.80 [1.21, 8.30]

*Stands for variables statistically significant at p < 0.05.

Discussion

To our knowledge, this is the first comprehensive systematic review and meta-analysis determining the pooled prevalence of health professionals' job satisfaction and associated factors in Ethiopia.

This systematic review and meta-analysis revealed that the pooled prevalence of health professionals' job satisfaction in Ethiopia was 46.68%. This pooled prevalence showed that Ethiopian health professionals were more satisfied than Nigerians (3.1%), 6 South Africans (20.4%), 11 and health professionals in Pakistan (14%-41%). 8,9 All these studies were primary studies conducted in different health care setups, which could be a possible rationale for discrepancies. The other possible reason for this difference might be the study from South Africa was conducted in one hospital level using all (284) staffs which was a small sample. Similarly, a study conducted in Pakistan was performed using very small sample (129) on only two professionals; public health and nurse professionals, and this could be the possible source of the variation. Ethiopian health professional job satisfaction is lower than Nepal (76%) 10 health professionals job satisfaction. The discrepancy may be explained by the fact that the differences in study setting and population, study design, sample size, socio-demographic differences, and this study was conducted only using two professions (ophthalmologist and medical officers).

According to the study population; pharmacy professionals had the highest job satisfaction (57.56%), but health extension workers had the lowest job satisfaction (16.50%). The variation could be accounted for by the fact that pharmacy professionals had better living environments (urban) and professional supervisors because most professional activities of pharmacy professionals are found in the urban areas of the country. On contrary, health extension workers are primarily deployed in the countrysides, mainly in remote areas of the country. In addition, most health extension workers are supervised by nonprofessionals which could cause discomfort on the health extension workers. Variation in the amount of monthly salary could also be the source of discrepancy in the pooled prevalence of job satisfaction between professions. The difference in the autonomy of decision making could also be the source of variation in the interprofessional job satisfaction of health professionals in Ethiopia. 53

Regarding job satisfaction, the subgroup analysis based on measurement scales revealed that there was variation in the pooled prevalence between the measurement scales. The highest health professionals’ job satisfaction (50.79%) was recorded using studies that measured job satisfaction based on the Minnesota satisfaction tool, multi-item scale, demarcation threshold formula, pleasurable/positive emotion, data-driven classification system, and proportion tools. The lowest pooled prevalence of health professionals’ job satisfaction (36.53%) was observed when job satisfaction was assessed with the mean score assessment tool. The possible justification for the difference might be due to the nature of the assessment tools.

In this systematic review and meta-analysis, four factors were found to have a significant association with health professionals’ job satisfaction. We found that health professionals working in a secured working environment were more likely to have job satisfaction. This finding is supported by studies conducted in Pakistan. 8,9 The possible explanation for this might be it is human nature to give priority to safety and security. 5 Health professionals who had good coworkers' relationships in their working environment had more job satisfaction. This result is also supported by the study conducted in Nepal where health professionals working in an environment with better relationship among coworkers had better job satisfaction. 10 Coworkers relationship is very important in any working environment, especially for health professionals to give quality care for their patients and successful implementation of their professional duty. Positive communication has a special implication for health professionals because health care is a teamwork which needs good relationship and communication between health care providers. 53 The other identified factor that enhances health professionals' job satisfaction is having a good relationship with supervisors. Health professionals who had a good relationship with supervisors had more job satisfaction. This result is consistent with the findings of a study conducted in Slovenia. 14 Having Bachelor’s degree is also a factor that was associated significantly with health professionals’ job satisfaction. Health professionals who had a bachelor’s degree had more job satisfaction as compared to Diploma holder health professionals. The possible justification might be most of the study participants were diploma workers and unsatisfied with their job, since there is a limited chance for education. The higher workload among health workers with diplomas may be also the source of poor satisfaction in their job.

In general, job satisfaction is more than fulfilling personal needs; rather it determines the overall quality of patient care. It is there for very important to for the organization to be congruent enough with the desires of clinicians and this can improve the efficacy and efficiency of clinicians. This improves the quality of care and the morbidities and mortalities may be improved undoubtedly. 54,55

Limitations

Limitations of this review: all of the included studies were cross-sectional, which restricts the assessment of the cause-effect relationships. Including studies performed in the English language only could be the source of either over or underestimation of the pooled prevalence of job satisfaction.

Conclusion

In this systematic review and meta-analysis, health professionals’ job satisfaction in Ethiopia was found to be low as compared to other studies. Working environment security, coworkers relationship, supervisors’ relationship, and having a bachelor degree educational status were significantly associated with health professionals’ job satisfaction. This study suggests developing strategies for working environment security, revise rules and regulations for supervisors and health professionals to improve coworker and supervisors’ relationships, and arrange educational opportunities for diploma health professionals is important to increase health professionals’ job satisfaction in Ethiopia.

Supplemental Material

sj-docx-1-hme-10.1177_23333928211046484 - Supplemental material for Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis:

Supplemental material, sj-docx-1-hme-10.1177_23333928211046484 for Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis by Zelalem Tenaw, Melese Siyoum, Berhan Tsegaye, Tehsale Biku Werba and Zebenay Workneh Bitew in Health Services Research and Managerial Epidemiology

sj-docx-2-hme-10.1177_23333928211046484 - Supplemental material for Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis:

Supplemental material, sj-docx-2-hme-10.1177_23333928211046484 for Health Professionals Job Satisfaction and Associated Factors in Ethiopia: A Systematic Review and Meta-analysis by Zelalem Tenaw, Melese Siyoum, Berhan Tsegaye, Tehsale Biku Werba and Zebenay Workneh Bitew in Health Services Research and Managerial Epidemiology

Acknowledgments

The authors acknowledge all the authors of the original studies included in this systematic review and meta-analysis.

Author Biographies

Zelalem Tenaw is a reproductive health specialist by profession and serves as an assistant professor in Hawassa University, Ethiopia. He provides courses in the department of midwifery and his core expertise are maternal health and research. He also performs multiple researches in reproductive and maternal health.

Melese Siyoum is a reproductive health specialist by profession and serves as an assistant professor in Hawassa University, Ethiopia. He provides courses in the department of midwifery and his core expertise are maternal health and research. He also performs multiple researches in maternal health.

Berhan Tsegaye is a reproductive health specialist by profession and serves as lecturer professor in Hawassa University, Ethiopia. He provides courses in the department of midwifery and his core expertise gynecology and obstetrics. He also performs researches in reproductive health.

Tehsale Biku Werba is an operation theater nurse by profession and serves as a lecturer in the department of ORT nursing at SPHMMC, Ethiopia. He is a senior lecturer in the department and gives courses such as ORT, Nursing curriculum and Nursing research.

Zebenay Workneh Bitew is a public health nutritionist in SPHMMC, Ethiopia. He offers courses such as pediatrics, nutrition and research with an academic rank of assistant professor of pediatrics and public health nutrition. He also performs researches in nutrition and he is an expert meta-analyst.

Footnotes

Contributed by

Authors’ Contribution: ZT, ZWB, MS, TBW, and BT conceived and designed the review. ZT and ZWB prepared the draft of the manuscript. The final version of the manuscript is approved by all the six authors.

Availability of Data and Material: All data supporting the conclusions are included in the manuscript (tables and graphs) and with the additional files.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship and/or publication of this article.

ORCID iD: Zebenay Workneh Bitew https://orcid.org/0000-0001-5695-3896

Supplemental material: Supplemental material for this article is available online.

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