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
Data for Impact: The D4I Approach to Data Use Author(s): Data for ImpactYear: 2019Filed under: Data use, Data visualization
Data for Impact Starts with High-Quality Data Author(s): Data for ImpactYear: 2019Filed under: Data quality assessment, Data use, Data visualization, Evaluation
Data for Impact Approach to Institutional Strengthening Author(s): Data for ImpactYear: 2019Filed under: Data use
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
Data for Impact: Semiannual Report Summary Author(s): Data for ImpactYear: 2019Filed under: Data, Data Quality, Data use
Strengthening Data Demand and Use in Three African Countries: Lessons Learned from the Associate Awards in Kenya, South Africa, and Tanzania Author(s): MEASURE EvaluationYear: 2018Filed under: Data, Data use, Health Information Systems, HIS, Kenya, MEASURE Evaluation PIMA, MEASURE Evaluation Tanzania, MEval-SIFSA, South Africa, Tanzania
Stakeholder Data Use and Dissemination Planning Tool: An Example from a Research Study in Haiti: Final Report Author(s): MEASURE EvaluationYear: 2019Filed under: Data use, Haiti, Tools
Qualitative Methods in Evaluation of Public Health Programs, a Curriculum on Intermediate Concepts and Practices: Participants Guide Author(s): Fehringer, J.A., Pilar Torres-Pereda, P., Dako-Gyeke, P., Archer, E., Mejia, C., Millar, L., Schriver Iskarpatyoti, B., Bobrow, E.A.Year: 2018Filed under: Curriculum, Data Quality, Data Quality Review, Data use, Evaluation, Gender
Qualitative Methods in Evaluation of Public Health Programs, a Curriculum on Intermediate Concepts and Practices: Facilitators Guide Author(s): Fehringer, J.A., Pilar Torres-Pereda, P., Dako-Gyeke, P., Archer, E., Mejia, C., Millar, L., Schriver Iskarpatyoti, B., Bobrow, E.A.Year: 2018Filed under: Curriculum, Data Quality, Data Quality Review, Data use, Evaluation, Gender
