Abstract:
Quality data for evidence-based decision making become a growing concern globally. Available information needs to be disseminated on time and used for decision making. Therefore, an effective Health Management Information System is essential to make evidence-based decision. This study aimed to measure the change in
data quality and information utilization before and after intervention. Facility-based pre-post interventional
study design was conducted at Metema hospital from September/2016 to December30/2018. A total of
384 individual medical-records, HMIS registration-books and reports were reviewed. Training, supportive
supervision and feedback were intervention packages. About 309 (80.5%) of charts were from outpatient
department. Data recording completeness increased from 69.0% to 96.0%, data consistency increased from 84.0% to 99.5% and report timeliness enhanced from 66.0% to 100%. There was a statistically significant difference for data recording completeness between pre and post-intervention results with mean difference
of −0.246 (−0.412, −0.081). Also, after the intervention, gap-filling feedback and supportive supervision were given to all departments. In addition, four quality improvement projects were developed at post intervention phase. The level of data quality and use was improved after the intervention. So, designing and
implementing intervention strategies based on the root causes will help to improve data quality and use
