Macdonald Tobias Kudambo2025-09-102025-09-102022-09https://dspace.ughe.org/handle/123456789/944Background: Good quality data enables proper decision making in healthcare settings leading to better planning, higher management efficiency and improved patient outcomes. This study aimed to assess the quality of the Yendanafe data system in Malawi. The Yendanafe data system was designed to promote comprehensive patient care and improve public health services through an evidence-based approach. The study highlights the strengths of the system and its potential limitations while proposing opportunities for improvement. Methods: An explanatory mixed approach was used to evaluate the Yendanafe data system using three distinct sources: 1) data quality dimensions, 2) survey data, and 3) focus group discussions and interviews. An analysis was conducted using all available retrospective data collected in the Yendanafe data system between January 1 and December 31, 2021. Twelve data sets were extracted for quality data dimension analysis for examination of 96 variables and 254,736 observations in total. Data completeness, timeliness, accuracy, and consistency were reviewed and benchmarked against existing standards. A quantitative survey using a Likert scale approach was conducted on a random proportional sample of community health workers (n=131) at the participating sites to identify end-user perspectives and potential sources of variability. Focus group discussions and interviews were conducted to review the preliminary findings of the quality data dimensions and survey analyses, to evaluate possible root causes of the observed limitations, and identify possible solutions. Two focus group discussions were held with a randomly selected group of community health workers (n=19) as end-users of the Yendanafe data system. In addition, in-depth interviews with six PIH staff members well versed in the use of Yendanafe were conducted. Results Our results indicate that the Yendanafe system data is complete and reported in a timely manner (completeness=89.70%, timeliness=87.40%). While accuracy of the data remainsinconclusive due to lack of a gold standard for reference. Data has also been shown to be highly consistent within the system (98.77%). Overall, data quality dimensions met or even exceeded the World Health Organization standards for all quality data dimensions except accuracy. Data gathered through community health worker surveys, focus group discussions and interviews confirmed the ease-of use and practicality of the system and identified possible areas of improvement including: technology (devices, chargers), connectivity (remote synchronization, air-time), methods (design of case report forms), processes (standardized guidance), and training (length and content). Our study recommends subsequent study to validate the accuracy of the Yendanafe System and another study to assess the accuracy of EMR data system. This study further recommends sufficient trainings and education for CHWs, more technical support and systems design and improvement. Conclusion: The Yendanafe system is an innovative and powerful tool that has the potential to revolutionize data collection and use to contribute positively to the improvement of the health care system in MalawienData Quality AssessmentYendanafe SystemMalawitext::thesis