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Resources > Publications > Data Quality

Book Tag: Data Quality



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Évaluation de la ventilation par âge des données de routine en matière de planification familiale (PF)

Author(s): Data for Impact
Year: 2024
Filed under: Adolescent health, Data Quality, Data use, DHIS 2, Family Planning, Health Information Systems, working paper

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Assessment of Age Disaggregation in Routine Family Planning (FP) Data

Author(s): Data for Impact
Year: 2024
Filed under: Adolescent health, Data Quality, Data use, DHIS 2, Family Planning, Health Information Systems, working paper

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Zana za Viashiria vya Kila Mtoto Mchanga – Uboreshaji wa Upimaji kwa Watoto Wachanga na Watoto Waliozaliwa Wafu (EN-MINI) Zana za Mifumo ya Kawaida ya Taarifa za Afya

Author(s): Data for Impact
Year: 2024
Filed under: Brief, Data Quality, EN-MINI, Newborn health, RHIS, Routine Health Information Systems, Tanzania

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Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems and Findings from its Implementation in Tanzania

Author(s): Data for Impact
Year: 2024
Filed under: Bangladesh, Brief, Data Quality, EN-MINI, Newborn health, RHIS, Routine Health Information Systems, Tanzania

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Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems (Bangla)

Author(s): Data for Impact
Year: 2024
Filed under: Bangladesh, Bengali, Brief, Data Quality, EN-MINI, Newborn health, RHIS, Routine Health Information Systems

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An Overview of the Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems

Author(s): Data for Impact
Year: 2024
Filed under: Brief, Data Quality, EN-MINI, Newborn health, RHIS, Routine Health Information Systems

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Strengthening Local Capacity in Monitoring and Evaluation in Moldova

Author(s): Camelia Gheorge, Viorica Toartă
Year: 2023
Filed under: Brief, capacity strengthening, Data Quality, Data use, Moldova

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Assessment of the Medical Equipment Information System in USAID IHP-Supported Provinces in the Democratic Republic of Congo

Author(s): Janna Wisniewski, Marc Bosonkie, Jonathan Niles, Paul-Samson Lusamba-Dikassa
Year: 2023
Filed under: Data Quality, Democratic Republic of Congo, DRC, Evaluation, Report

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Our Work: Year 3 Highlights

Author(s): Data for Impact
Year: 2022
Filed under: annual report, Data Quality, Data use, evidence, Gender

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Brief: Considerations for the Use of Routine Data for Evaluation of Public Health Programs

Author(s): Measure Evaluation
Year: 2020
Filed under: Data Quality, Data use, Evaluation, RHIS, Routine Health Information Systems


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This website was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.

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Data for Impact (D4I) is funded by the United States Agency for International Development (USAID) under the terms of the D4I associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.
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