Health Management Information System Data Quality and its associated factors in Addis Ababa Public Hospitals, Ethiopia, 2022.A cross-sectional study

Résumé

Abstract Health management information system (HMIS) is a core health system building block designed to provide important data for continuous quality improvement at all levels of decentralized healthcare administration. Poor data quality at the lower administrative level and health facilities, which are the source of most data used for decision-making in the health sector remains a challenge. This challenge remains high in developing countries, especially in Sub-Saharan Africa. Objective To assess the level of Health management information system data quality and associated factors among of public hospitals in Addis Ababa, 2022. Methodology Institutional-based cross-sectional study design was conducted from June to September 2022. Study hospitals were selected using the lottery method and the participants were recruited based on their availability till the required sample was fulfilled variables that have p-value ≤ 0.25 were taken into the multivariable model to control possible confounders. The level of statistical significance was declared at p-value ≤ 0.05. The odds ratio with 95% CI was used to determine the direction and strength of association between the dependent and independent variables. Result The overall level of HMIS data quality was 78% with completeness at 67%, accuracy at 67%, and timeliness at 100%. Presence of training program (AOR=5.6, CI:2.01, 15.79), notify as job descriptions and report documents clearly (AOR=2.7, CI:1.334, 5.378), formats easily understandable AOR=4.1, CI:1.991,8.256), routine meetings how to improve HMIS data quality(AOR=2.7, CI:1.345,5.417), incentives for HMIS process (AOR=2.3, CI:1.128,4.675) and user-friendly register/report forms (AOR=4.1, CI:1.991,8.256) were the identified factors associated with HMIS data quality. Conclusion and recommendation The data quality of HMIS was lower than the nationally expected level (85%). Thus, regular and comprehensive training of health care workers, clear job descriptions and HMIS report documents, user-friendly and easily understandable formats, routine meetings to discuss HMIS quality improvement, and incentives for HMIS processes shall be implemented to increase the data quality.

Citer ce document

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Auteur(s)

Statistiques

Consultations : 1

Téléchargements : 0