Initial Evidence of Reduction of Malaria Cases and Deaths in Rwanda and Ethiopia Due to Rapid Scale-Up of Malaria Prevention and Treatment Author(s): Data for ImpactYear: 2020Filed under: assessment, Data Quality, Ethiopia, Evaluation, evidence, method, RHIS, Routine data, Routine Health Information Systems, Rwanda
Data for Impact (D4I) Capabilities Author(s): Data for ImpactYear: 2020Filed under: Data, Data Quality, Evaluation, evidence
Data Quality Assurance: Data quality auditing and routine data quality assessment tools Author(s): MEASURE EvaluationYear: 2017Filed under: Data Quality, Data Quality Audit, Routine data, Tools
Pilot Testing a Gender-Integrated Routine Data Quality Assessment Tool in Kenya Author(s): MEASURE EvaluationYear: 2018Filed under: Data Quality, Data quality assessment, Gender, Routine data, Routine Health Information Systems
Data Quality Assessment (DQA) for HIV Program Indicators in Burundi: Final Report Author(s): Boone, D., Bisore, S., Hypax, M. Rwantabagu, J.P., & Ly, M.Year: 2019Filed under: Burundi, Data, Data Quality, Data quality assessment, HIV, HIV/AIDS, Indicators
Improving the Quality of Zambias Clinical Care Data Findings from Expedited Audits of Data Quality in 93 Health Facilities in October 2017 Author(s): MEASURE EvaluationYear: 2018Filed under: Data, Data Quality, Data Quality Audit, health facility assessment, Zambia
Improving Data Quality in Mobile Community-Based Health Information Systems Guidelines for Design and Implementation Author(s): MEASURE EvaluationYear: 2017Filed under: Community, Data Quality, Digital Health
The Importance of Collecting and Using Valid Data on Reaching Partners through Index Testing for HIV: Results and Recommendations Author(s): MEASURE EvaluationYear: 2019Filed under: Brief, Data Quality, Data use, HIV, HIV/AIDS, Tanzania, Zimbabwe
Lessons in Health Information System Strengthening: What Worked in the Democratic Republic of the Congo Author(s): MEASURE EvaluationYear: 2019Filed under: Data Quality, Democratic Republic of Congo, Health Information Systems, Health System, Health Systems Strengthening, HIS, Malaria
Data for Impact: The D4I Approach for Strong Health Data Author(s): Data for ImpactYear: 2019Filed under: Data Quality, Data quality assessment, Data quality assurance, Data Quality Audit, Data use, Data visualization
