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      Predicting needlestick and sharps injuries and determining preventive strategies using a Bayesian network approach in Tehran, Iran

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          Abstract

          OBJECTIVES

          Recent studies have shown that the rate of needlestick and sharps injuries (NSIs) is unacceptably high in Iranian hospitals. The aim of the present study was to use a systematic approach to predict and reduce these injuries.

          METHODS

          This cross-sectional study was conducted in 5 hospitals in Tehran, Iran. Eleven variables thought to affect NSIs were categorized based on the Human Factors Analysis and Classification System (HFACS) framework and modeled using a Bayesian network. A self-administered validated questionnaire was used to collect the required data. In total, 343 cases were used to train the model and 50 cases were used to test the model. Model performance was assessed using various indices. Finally, using predictive reasoning, several intervention strategies for reducing NSIs were recommended.

          RESULTS

          The Bayesian network HFACS model was able to predict 86% of new cases correctly. The analyses showed that safety motivation and fatigue were the most important contributors to NSIs. Supervisors’ attitude toward safety and working hours per week were the most important factors in the unsafe supervision category. Management commitment and staffing were the most important organizational-level factors affecting NSIs. Finally, promising intervention strategies for reducing NSIs were identified and discussed.

          CONCLUSIONS

          To reduce NSIs, both management commitment and sufficient staffing are necessary. Supervisors should encourage nurses to engage in safe behavior. Excessive working hours result in fatigue and increase the risk of NSIs.

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          Most cited references 35

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          A QUANTITATIVE APPROACH TO CONTENT VALIDITY

           C. H. LAWSHE (1975)
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            Estimation of the global burden of disease attributable to contaminated sharps injuries among health-care workers.

            The global burden of hepatitis B (HBV), hepatitis C (HCV), and human immunodeficiency virus (HIV) infection due to percutaneous injuries among health care workers (HCWs) is estimated. The incidence of infections attributable to percutaneous injuries in 14 geographical regions on the basis of the probability of injury, the prevalence of infection, the susceptibility of the worker, and the percutaneous transmission potential are modeled. The model also provides the attributable fractions of infection in HCWs. Overall, 16,000 HCV, 66,000 HBV, and 1,000 HIV infections may have occurred in the year 2000 worldwide among HCWs due to their occupational exposure to percutaneous injuries. The fraction of infections with HCV, HBV, and HIV in HCWs attributable to occupational exposure to percutaneous injuries fraction reaches 39%, 37%, and 4.4% respectively. Occupational exposures to percutaneous injuries are substantial source of infections with bloodborne pathogens among health-care workers (HCWs). These infections are highly preventable and should be eliminated. 2005 Wiley-Liss, Inc.
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              Effects of hospital staffing and organizational climate on needlestick injuries to nurses.

              This study determined the effects of nurse staffing and nursing organization on the likelihood of needlestick injuries in hospital nurses. We analyzed retrospective data from 732 and prospective data from 960 nurses on needlestick exposures and near misses over different 1-month periods in 1990 and 1991. Staffing levels and survey data about working climate and risk factors for needlestick injuries were collected on 40 units in 20 hospitals. Nurses from units with low staffing and poor organizational climates were generally twice as likely as nurses on well-staffed and better-organized units to report risk factors, needlestick injuries, and near misses. Staffing and organizational climate influence hospital nurses' likelihood of sustaining needlestick injuries. Remedying problems with understaffing, inadequate administrative support, and poor morale could reduce needlestick injuries.
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                Author and article information

                Journal
                Epidemiol Health
                Epidemiol Health
                EPIH
                Epidemiology and Health
                Korean Society of Epidemiology
                2092-7193
                2018
                20 August 2018
                : 40
                Affiliations
                Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
                Author notes
                Correspondence: Fakhradin Ghasemi  Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Farahnaz St., Niayesh Tower, Tehran 14699-65873, Iran  E-mail: fk.ghasemi@ 123456gmail.com
                Article
                epih-40-e2018042
                10.4178/epih.e2018042
                6232661
                30130955
                ©2018, Korean Society of Epidemiology

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                Categories
                Original Article

                Public health

                iran, bayes theorem, accident prevention, needlestick injuries

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