Health Commodity Management Information System: Practice, Data Quality and Contributing factors in Public Health Facilities of Addis Ababa, Ethiopia

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Date

2020-06

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Addis Abeba University

Abstract

Information technology is valuable in managing the supply chain of pharmaceuticals. The quality and utilization of information system are challenge. The aim of the study was to assess the quality of data, the utilization practice of the health commodity management information system and to identify contributing factors. The research was conducted in selected public health facilities at Addis Ababa, Ethiopia from April 10 to June 10, 2019. The design of the study was a descriptive cross sectional study in which a mixed-method approach using quantitative and qualitative methods was employed. Five data quality dimensions: accuracy, completeness, timeliness, validity, and consistency were used to assess reports within the previous one year and utilization practice was also assessed. Data was collected using pre-tested questionnaires, through document reviews, in-depth interview, and key informants interview. Analysis was performed by using Statistical Package for Social Science version 25 software where descriptive statistics mainly: percentage, frequency, mean and standard deviation, and inferential statistics like spearman rho correlation was computed. Qualitative data were analyzed thematically. Twenty facilities were included in the study, where the overall data quality was 66.61%. All the studied facilities use the system for recording of activities. The average utilization of all the regular reports was 39.17%. There were moderate positive correlations between data quality with the period of implementation (r s = .512, P=.021, N=20) and database characteristics (r s =.567, P=.001, N=30) and also, utilization practice with organizational factors (r s = .601, P=.000, N=30). Health facilities need to improve their data quality and utilization practice.

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Keywords

Data, quality, dimension, use, utilization, contributing factors, HCMIS

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