Samad Rouhani; Khadijeh Safizade; Seyed Nouraddin Mousavinasab; Azita Balaghafari; Mohammad Reza Sayeedy-Kiasari
Abstract
Introduction: Quality information is essential for evidence-based decision-making and improving the performance of the healthcare system. Hence, health information management system should be continuously monitored. The aim of this study was to assess the quality of routine information on the care of ...
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Introduction: Quality information is essential for evidence-based decision-making and improving the performance of the healthcare system. Hence, health information management system should be continuously monitored. The aim of this study was to assess the quality of routine information on the care of patients with diabetes mellitus in rural health centers of Sari County, Iran.Methods: This cross-sectional study was conducted in 2018. The statistical population included routine statistical reports of the patients with diabetes mellitus in all rural health centers of Sari County. The sample size was 30 rural health centers selected using census sampling method. Data were collected using a validated Performance of Routine Information Systems Management (PRISM) tool, which had four dimensions including timeliness, accuracy, completeness, and data processing. The gathered data were reported using descriptive statistics.Results: 81.50 percent of data was timely. The accuracy of the data was between 39.99 and 53.33 percent, and the overall compliance was 16.67 percent. 94.90 percent of the quarterly reports of the patients with diabetes mellitus was complete. 86.66 percent of the units calculated the indicators for their own units, summarized the reports, and compared the performance of the service-provider units. However, the comparative indicators of the related activity were neglected.Conclusion: According to the results of this study, the accuracy of data in rural health centers is not optimal. Logically, the existing weaknesses prevent the attainment of data collection purpose, which in turn makes its citation and use unattainable.
Samad Rouhani; Khadije Safizade; Seyed Nouraddin Mousavinasab; Azita Balaghafari; Mohammad Reza Sayeedy-Kiasari
Abstract
Introduction: Inaccurate data and unqualified data can be misleading, and cause false decisions. Therefore, the quality of data can guarantee its usefulness. The aim of this study was to assess the quality of routine data related to diabetes caretakers of Health Houses (HHs) in Sari City, Iran.Methods: ...
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Introduction: Inaccurate data and unqualified data can be misleading, and cause false decisions. Therefore, the quality of data can guarantee its usefulness. The aim of this study was to assess the quality of routine data related to diabetes caretakers of Health Houses (HHs) in Sari City, Iran.Methods: This was a descriptive study carried out in 2018. The Statistical population of this study included monthly reports of all HHs in Sari. A sample of 72 HHs was selected randomly. Performance of Routine Information System Management (PRISM) tools at health facility level were used for data collection through interview and observation. The gathered data were analyzed using descriptive statistics.Results: Data accuracy rate was between 90.96 and 18.05 percent. Moreover, according to patients interviewed, recorded information of 52 percent of them was not based on reality.Conclusion: The routine data related to diabetes caretakers, which is one of the main requirements of continuous monitoring of the performance of service units and making appropriate decisions, were not accurate.