Assessing the Accuracy of Diabetic Care Information in Health Houses in Sari City, Iran, 2018

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.

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.

 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.

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.