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Search Results for:

Estimating the effect of COVID-19 on total utilization of health services in Bangladesh

Author(s): Data for Impact
Year: 2021
Filed under: Bangladesh, Brief, COVID-19, Health data, Health Services, RHIS, Routine data, Routine Health Information Systems

Using DHIS 2 Software to Collect Health Data in Bangladesh

Author(s): Tahmina Begum, Shaan Muberra Khan, Jannatul Ferdous, Muhammad Masud Parvez, Aminur Rahman, Feroza Akhter Kumkum, and Iqbal Anwar
Year: 2019
Filed under: Bangladesh, Data collection, DHIS 2, Health data, Health Information Systems, Health Services, HIS, HMIS

Feasibility of Integrating Social Service and Community Health Data in DHIS 2

Author(s): Dawne Walker
Year: 2017
Filed under: Bangladesh, Community, DHIS 2, Health data, Health Information Systems, HIS, Social services

Every Newborn-BIRTH protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania

Author(s): Louise T Day, Harriet Ruysen, et al.
Year: 2019
Filed under: Bangladesh, Data, DHIS 2, EN-BIRTH, health care, Health data, Maternal and child health, Maternal Health, MCH, Nepal, Newborn health, Tanzania

Needs Assessment on Resources for Use of Routine and Other Secondary Data for Health Evaluation and Research

Author(s): Fehringer, J., Millar, E., Wilkes, B. (Data for Impact)
Year: 2020
Filed under: accessibility, assessment, Data Quality, data sources, Data use, Evaluation, Health data, Health System, research, Routine data, secondary data

Lessons in Health Information System Strengthening: What Worked in the Democratic Republic of the Congo

Author(s): MEASURE Evaluation
Year: 2019
Filed under: Data Quality, Democratic Republic of Congo, Health data, Health Information Systems, Health System, Health Systems Strengthening, HIS, HIS strengthening, Malaria

Country-Led, Holistic Data Quality Assurance: Institutionalizing Data Quality through a National Technical Working Group and the Data Quality Review

Author(s): MEASURE Evaluation
Year: 2018
Filed under: Data, Data Quality, Data Quality Review, Health data, Routine data, Tools

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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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