Literature DB >> 33646181

Occupational health risk assessment at healthcare institutions: Developing a semi-quantitative risk method.

Mohammad Hossein Chalak1,2, Ghasem Bahramiazar3, Javad Rasaee4, Reza Fahimi5, Asghar Noran Anbardan6, Hossein Jafari1,2, Fatemeh Ramroudi Nasab7.   

Abstract

BACKGROUND: Environmental hazards in healthcare institutions affect the quality of patient care as well as personnel and patient safety.
OBJECTIVE: The aim of this study was to develop and apply a semi-quantitative risk assessment method to calculate occupational health risk levels with regard to the sensitivities of healthcare institutions.
METHODS: The present research was conducted in three phases. In phases 1 and 2, the model was developed using a review of different risk assessment methods, extracting expert opinions (N = 10) through semi-structured interviews, and using the fuzzy analytical hierarchy process (FAHP). In phase 3, in order to validate the proposed method, one of the five public hospitals was randomly selected and a case study comprising 6 sections was performed.
RESULTS: A total of 43 health risks were identified and evaluated using the present method, 41.86% of which were at very high levels, 16.27% at high levels, 30.23% at substantial ones, 9.3% at medium and 2.32% at low levels. The highest health risks were found in paraclinical and operating room wards.
CONCLUSION: To overcome the shortcomings of the proposed health risk assessment methods, a semi-quantitative method was used in the present study to more accurately calculate the risk levels in the healthcare institutions and also calculate the risk level of each hospital unit. The proposed semi-quantitative method can be used as a tool for assessing occupational health risks as a key element of risk management. In addition, by focusing on an appropriate framework for occupational health risk assessment, specialists in the organization will be able to take significant and effective steps to implement an efficient risk management system.

Keywords:  Healthcare institutions; occupational health; risk assessment; semi-quantitative method

Year:  2021        PMID: 33646181     DOI: 10.3233/JRS-200048

Source DB:  PubMed          Journal:  Int J Risk Saf Med        ISSN: 0924-6479


  1 in total

1.  Development and application of a fuzzy occupational health risk assessment model in the healthcare industry.

Authors:  Mohammad Hossein Chalak; Amin Kahani; Ghasem Bahramiazar; Zohreh Marashi; Tsvetan Ivanov Popov; Sakineh Dadipoor; Omran Ahmadi
Journal:  Med Lav       Date:  2022-08-25       Impact factor: 2.244

  1 in total

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