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Assessment of Data Quality and Health Workforce Competency on Routine Health Information System Tasks in Ethiopia(Quant dat Set)

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posted on 2025-05-05, 12:16 authored by Ariam HailemariamAriam Hailemariam, mengistu yilma, Meaza gezu, yordanos tadesse, Awgichew Kiflie, Girma Taye, Getasew Amare, Tajebew Zayede, Berhanu Fikadie, Amare Minyihun, Biniyam Tilahun, Muluemebet Abera, Nigusu Getachew, Firanbon Teshome, Dawit Wolde, Ketema Lema, Tilahun Shiferaw, Daniel Berhanie Enyew, Adisu Birhanu, Awoke Masrie, Zewdu Alemu, Keneni Gutema, Alemu Tamiso Debiso, Sisay Yitayih Kassie, Desalegn Tsegaw, Netsanet Abera, Gizachew Robe Ware, Henok Fiseha, Mulugojam Asmare, Mohammed Harir, Manja Yuala, Yakob Wondarad, Tamirat Awel, Mesoud Mohammed, Nebiyu Yetsedaw, Akinyi Odera, Melaku Muleta

This study assessed the performance of the Routine Health Information System (RHIS) across selected health centers in Sidama, Amhara, Somali, Oromia, and Addis Ababa, Ethiopia. Using a cross-sectional design and the PRISM framework, the research evaluated data quality and health workforce competency. Key findings revealed discrepancies in reported versus source data, particularly in family planning and malaria indicators, with overall data quality at 56.4%—well below the national target of 90%. Only 46% of Performance Monitoring Team (PMT) members demonstrated high actual competency, while service providers showed moderate levels of knowledge, attitude, and perceived competency. The study identified significant associations between providers' experience, knowledge, and attitude with their perceived competency. These insights were used to design targeted interventions, including a Telegram skill bot and PMT-focused tools, aimed at improving data quality and workforce capacity.

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