Evaluation and monitoring of the health of police staff using occupational health management model

Authors

  • Alimohammadzadeh, Khalil Department of Healthcare Management, School of Management and Social Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran 3 Health Economics policy Research Center, Tehran Medical Sciences Islamic Azad University, Tehran, Iran
  • Mohseni, Hamidreza Department of Healthcare Management, School of Management and Social Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract:

Background and Aim: Considering the necessity of developing, retaining and promoting employees’ health as the most important organizational capital, this study was conducted to achieve a comprehensive occupational health management model to comprehensively observe the health status of employees in individual, occupational and organizational dimensions. Methods: In terms of aim, the present study is applied while in terms of methodology, it is a qualitative survey – observational and evaluative study. This study is conducted between 2016 through 2018 in 300 workstations within 5 buildings of Police by snowball sampling technique. All data is collected as a field study by using technical devices and forms that finalized by focused group discussions. Results: Drawing a health management paradigm leads to the establishment of a database on police staff’s health as well as their workplace health and a managerial dashboard to observe organizational health status instantly. By using this model, one can evaluate and monitor police staff health and occupational health instantly. Conclusion: By developing this professional health model, while jobs related to police are rated, a managerial technique is achieved that a clear, real and complete image of the target community's health status is generated at any moment. Also, strategies related to human health were adjusted according to the health status of the staff.

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Journal title

volume 21  issue 6

pages  628- 636

publication date 2019-12

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