@2024 Afarand., IRAN
ISSN: 1735-7667 Iranian Journal of Military Medicine 2012;13(4):223-227
ISSN: 1735-7667 Iranian Journal of Military Medicine 2012;13(4):223-227
A model for assessment of health care workers’ health monitoring
ARTICLE INFO
Article Type
Original ResearchAuthors
Maneshgar H. ()Mohamadi Sh. (1)
Karim Zadegan D. (2)
Madani S. J. (3)
() Faculty of Technical & Engineering, Tehran Branch, Payam-e-Noor University, Tehran, Iran
(1) Faculty of Industry, University of Khwaja Nasir Toosi, Tehran, Iran
(2) Faculty of Technical & Engineering, Tehran Branch, Payam-e-Noor University, Tehran, Iran
(3) Department of Anesthesia, Faculty of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran
Correspondence
Address:Phone:
Fax:
hmaneshgar@yahoo.com
Article History
Received: June 26, 2011Accepted: September 16, 2011
ePublished:
ABSTRACT
Aims
Application of Information Technology in health domain has led to improvement of treatment, optimization of management methods and reduction of health costs. The aim of this study was to propose a framework for healthcare employees’ health monitoring system assessment and treatment based on the timetable, questions and the indexes of assessment.
Methods This cross-sectional descriptive study was carried out in 2010. The statistical population consisted of individuals who were familiar with electronic health systems and had related job experience. 35 people were selected by systematic sampling method. Library research, Internet search and e-mail were used for data collection and indexes were classified based on their importance and a 20-question questionnaire was designed based on it. Data were analyzed by SPSS 14 software using Pearson correlation and non-parametric Mann-Whitney U and Kruskal-Wallis tests.
Results There was significant relationship between the health monitoring system assessment efficacy and efficiency improvement (p<0.001), between the health monitoring system assessment recognition of the weak points of the services (p<0.05), between the managers’ decision making and the employees’ health situation (p<0.001) and between the system assessment and responding the researchers’ needs (p<0.001). There was no significant relationship between the given scores and age, gender, job experience and education level (p>0.05).
Conclusion Most assessments of health monitoring systems focus more on economic factors, but human factors and knowledge development should also be observed. Assessing the Health Information System in three areas of effectiveness measurement, efficiency improvement and knowledge development before, during and after the system administration are presented in the suggested framework of the present research.
Methods This cross-sectional descriptive study was carried out in 2010. The statistical population consisted of individuals who were familiar with electronic health systems and had related job experience. 35 people were selected by systematic sampling method. Library research, Internet search and e-mail were used for data collection and indexes were classified based on their importance and a 20-question questionnaire was designed based on it. Data were analyzed by SPSS 14 software using Pearson correlation and non-parametric Mann-Whitney U and Kruskal-Wallis tests.
Results There was significant relationship between the health monitoring system assessment efficacy and efficiency improvement (p<0.001), between the health monitoring system assessment recognition of the weak points of the services (p<0.05), between the managers’ decision making and the employees’ health situation (p<0.001) and between the system assessment and responding the researchers’ needs (p<0.001). There was no significant relationship between the given scores and age, gender, job experience and education level (p>0.05).
Conclusion Most assessments of health monitoring systems focus more on economic factors, but human factors and knowledge development should also be observed. Assessing the Health Information System in three areas of effectiveness measurement, efficiency improvement and knowledge development before, during and after the system administration are presented in the suggested framework of the present research.
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