Abstract
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.