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Factors that Affect Collection and Use of Sex- and Age-Disaggregated Data
MEASURE Evaluation has released three publications to help donors, governments, and groups working on health information systems to better understand factors that affect collection and use of sex- and age-disaggregated data.
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Publication Factors Affecting Sex- and Age-Disaggregated Data in Health Information Systems – Lessons from the Field
MEASURE Evaluation (2017)
Located in Resources / Publications
Health Information System Architecture: Harmonized and Interoperable
By Manish Kumar, MPH, MS. Research in Bihar, India suggests that a federated information system architecture could facilitate access within the health sector to good-quality data from multiple sources, enabling strategic and clinical decisions for better health.
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Publication Federated Health Information Architecture: Enabling healthcare providers and policymakers to use data for decision-making
Kumar M, Mostafa J, Ramaswamy R (2017)
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Publication Production and Use of Estimates for Monitoring Progress in the Health Sector: The Case of Bangladesh
Ahsan KZ, Tahsina T, Iqbal A, Ali NB, Chowdhury SK, Huda TM, Arifeen SE (2017)
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Going Paperless
MEASURE Evaluation helps Swaziland ensure data quality as the country digitizes its health information system.
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Demystifying Disaggregated Data: Factors that affect collection and use of sex- and age-disaggregated data
Join MEASURE Evaluation for a one-hour webinar on “Demystifying Disaggregated Data: Factors that affect collection and use of sex- and age-disaggregated data” on June 29 at 9:00am EDT.
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Publication Using DHIS 2 to Strengthen Health Systems
MEASURE Evaluation (2017)
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It’s Time for a New Question in Disease Outbreaks
By Brittany Iskarpatyoti, MPH. A new brief explores the importance of gender in monitoring and evaluation and suggests indicators that can reveal and explain gender gaps in emerging infectious disease outcomes.
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Publication Barriers to and Facilitators of Sex- and Age-Disaggregated Data – Kenya
MEASURE Evaluation (2017)
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