TY - JOUR
T1 - Relationship between job satisfaction, burnout syndrome and depressive symptoms in physicians
T2 - a cross-sectional study based on the employment demand-control model using structural equation modelling
AU - Villarreal-Zegarra, David
AU - Lázaro-Illatopa, Wilder Iván
AU - Castillo-Blanco, Ronald
AU - Cabieses, Baltica
AU - Blukacz, Alice
AU - Bellido-Boza, Luciana
AU - Mezones-Holguin, Edward
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2022/10/19
Y1 - 2022/10/19
N2 - OBJECTIVE: To evaluate the relationship between job satisfaction, burnout syndrome (BS) and depressive symptoms (DS) based on the job demand-control framework model on a nationally representative sample of physicians working in the Peruvian Health System. SETTING: We carried out a secondary data analysis of the National Survey of Satisfaction of Users in Health 2016 in Peru. PRIMARY AND SECONDARY OUTCOME MEASURES: Our study assessed the development of the predictive model and had two parts: (1) to evaluate the association among the variables based on the job demand-control framework, and (2) to assess the proposed model acceptability using the structural equation modelling approach to estimate goodness-of-fit indices (GOFIs). PARTICIPANTS: We excluded physicians older than 65 years, who did not report income levels or who had missing data related to the workplace. Thus, we analysed 2100 participants. RESULTS: The prevalence of DS was 3.3%. Physicians' work-related illnesses had more probability to result in DS (prevalence ratio=2.23). DS was moderately related to BS dimensions (r>0.50); nevertheless, the relationships between DS and the three job satisfaction scales were weak (r<0.30). The first predictive model based on the variables, DS, BS and job satisfaction, had low GOFIs (comparative fit index (CFI)=0.883; root mean square error of approximation (RMSEA)=0.125). In a second evaluation, we used models with correlated errors obtaining optimal GOFIs (CFI=0.974; RMSEA=0.060). CONCLUSIONS: Our study identified a stable model to explain the relationship between job satisfaction, BS and DS among physicians. The results are consistent with the job demand-control framework. They could be applied to decision-making in occupational contexts in Latin American low/middle-income countries.
AB - OBJECTIVE: To evaluate the relationship between job satisfaction, burnout syndrome (BS) and depressive symptoms (DS) based on the job demand-control framework model on a nationally representative sample of physicians working in the Peruvian Health System. SETTING: We carried out a secondary data analysis of the National Survey of Satisfaction of Users in Health 2016 in Peru. PRIMARY AND SECONDARY OUTCOME MEASURES: Our study assessed the development of the predictive model and had two parts: (1) to evaluate the association among the variables based on the job demand-control framework, and (2) to assess the proposed model acceptability using the structural equation modelling approach to estimate goodness-of-fit indices (GOFIs). PARTICIPANTS: We excluded physicians older than 65 years, who did not report income levels or who had missing data related to the workplace. Thus, we analysed 2100 participants. RESULTS: The prevalence of DS was 3.3%. Physicians' work-related illnesses had more probability to result in DS (prevalence ratio=2.23). DS was moderately related to BS dimensions (r>0.50); nevertheless, the relationships between DS and the three job satisfaction scales were weak (r<0.30). The first predictive model based on the variables, DS, BS and job satisfaction, had low GOFIs (comparative fit index (CFI)=0.883; root mean square error of approximation (RMSEA)=0.125). In a second evaluation, we used models with correlated errors obtaining optimal GOFIs (CFI=0.974; RMSEA=0.060). CONCLUSIONS: Our study identified a stable model to explain the relationship between job satisfaction, BS and DS among physicians. The results are consistent with the job demand-control framework. They could be applied to decision-making in occupational contexts in Latin American low/middle-income countries.
KW - Depression & mood disorders
KW - Human resource management
KW - MENTAL HEALTH
KW - PRIMARY CARE
KW - PSYCHIATRY
KW - Cross-Sectional Studies
KW - Humans
KW - Burnout, Psychological
KW - Workplace
KW - Latent Class Analysis
KW - Job Satisfaction
KW - Burnout, Professional/epidemiology
KW - Depression/epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85140415571&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2021-057888
DO - 10.1136/bmjopen-2021-057888
M3 - Artículo
C2 - 36261241
AN - SCOPUS:85140415571
VL - 12
SP - e057888
JO - BMJ Open
JF - BMJ Open
SN - 2044-6055
IS - 10
M1 - e057888
ER -