Volume 12, Issue 2 (Jun & Jul 2018)
payavard 2018, 12(2): 150-160 |
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Safdari R, Mirzaee M, Mehdibagli M. Compilation of Patient Safety Dashboard Indicators. payavard 2018; 12 (2) :150-160
URL: http://payavard.tums.ac.ir/article-1-6530-en.html
URL: http://payavard.tums.ac.ir/article-1-6530-en.html
1- Professor, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2- Ph.D. in Health Information Management, Health Information Management Department, School of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran
3- Master of Science in Health Information Technology, Health Information Management Department, School of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran ,mahni6_8mehdibagli@yahoo.com
2- Ph.D. in Health Information Management, Health Information Management Department, School of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran
3- Master of Science in Health Information Technology, Health Information Management Department, School of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran ,
Abstract: (4130 Views)
Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
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