The Effect of Job Skills and Job Burnout on Job Satisfaction Among Health Information Management Staff.

Mahdie Shojaei Baghini, Dorsa SepehryRad, Fatemeh Miri, Fatemeh Asadi
Author Information
  1. Mahdie Shojaei Baghini: Medical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran. ORCID
  2. Dorsa SepehryRad: Department of Health Information Technology, School of Paramedical Zahedan University of Medical Sciences Zahedan Iran.
  3. Fatemeh Miri: Department of Health Information Technology, School of Paramedical Zahedan University of Medical Sciences Zahedan Iran.
  4. Fatemeh Asadi: Faculty of Management and Medical Information Sciences Kerman University of Medical Sciences Kerman Iran.

Abstract

Background and Aims: The health information management department faces multiple challenges such as multiple tasks, high workload, role ambiguity and conflict, and work pressure. In addition, informatics and health information technology tools are continuously used in this sector. Based on studies, the use of information technology affects job burnout and job satisfaction. Since no similar study has been conducted in the health information management department, this study was conducted to investigate the relationship between job skills, job burnout, and job satisfaction in health information management departments.
Methods: In this cross-sectional study, the sample consisted of 201 personnel from the health information management department. A systematic random sampling method was used to select the participants. Data was gathered by using a questionnaire and visiting the selected hospitals in Kerman and Zahedan. For data analysis, SPSS 20 and SmartPLS 3 were used. PLS path models are fundamentally composed of the measurement and the structural model. To evaluate the measurement model, the formative measurement model tests were evaluated. Also, the hypotheses test, VIF, and CV-Red tests were used to evaluate the structural model. Then, the evaluation of the quality and suitability of the model was evaluated with the model fit test.
Results: The results showed that positive and significant job skills were associated with job satisfaction and a negative and significant relationship with job burnout. Also, job burnout does not play an intermediary in this context. In addition, the CV-RED values for all three variables were the moderate range. The SRMR value of 0.120, which is in the medium to high range, indicates an adequate fit of the model.
Conclusion: These findings provide useful information for decision-makers and human resource managers in the health sector and suggest practical strategies for reducing job burnout and increasing job satisfaction among health information management staff.

Keywords

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Word Cloud

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