1 / 12

Routine Health Information Systems and Universal Health Coverage Monitoring in Tanzania

Routine Health Information Systems and Universal Health Coverage Monitoring in Tanzania. Willis Odek, PhD Chief of Party/Senior Technical Advisor, MEASURE Evaluation Tanzania The 7th EAHSC March 27-29, 2019. Definitions.

whoglund
Download Presentation

Routine Health Information Systems and Universal Health Coverage Monitoring in Tanzania

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Routine Health Information Systems and Universal Health Coverage Monitoring in Tanzania Willis Odek, PhD Chief of Party/Senior Technical Advisor, MEASURE Evaluation Tanzania The 7th EAHSC March 27-29, 2019

  2. Definitions Universal health coverage means that all people have access to the health services they need (prevention, promotion, treatment, rehabilitation and palliative care) without risk of financial hardship when paying for them

  3. Tracking UHC • World Health Organization and World Bank UHC global monitoring framework: • health services coverage; • financial protection coverage; • equity in coverage. • Health service coverage tracer indicators: • promotion/prevention • treatment and care

  4. Routine health information system • Routine health information system refers to any system of data collection, distribution and use that provides information at regular intervals and that is produced through routine mechanisms to address predictable health information needs • Routine health information is usually drawn from data on provision and use of health services. • clinical service delivery • Medicines • laboratory services • Other diagnostic services • Administrative records, • Financial • Human resource management systems and • Quality improvement systems.

  5. Service coverage tracer indicators • ANC initiation before 12 week gestation • ANC 4+ visits • Institutional deliveries • Skilled birth attendance • Need satisfied for family planning • DPT3 immunization coverage • Serious acute child illness coverage • Household ownership of insecticide treat nets (ITNs) • Tuberculosis treatment coverage • PMTCT service coverage • Contraceptive use • Postnatal care within 2 days of birth • Diarrhea treated with oral dehydration salts (ORS) • Coverage of exclusive breastfeeding • Intermittent prevention therapy (IPT) during pregnancy • Fever treated with antimalarials • Household with indoor residual spraying • Tuberculosis case detection rate • Male circumcision rates and • Condom use at higher risk sex

  6. Service coverage tracer indicators

  7. Service coverage tracer indicators

  8. Service coverage tracer indicators

  9. Service coverage tracer indicators

  10. Challenges to RHIS • Technical - ease of using data collection tools; quality of data • Behavioral - limited knowledge, poor attitudes, lack of value for data • Organizational - information culture, health system structure, roles and responsibilities and resources

  11. Future: RHIS and UHC Monitoring • Continue to strengthen routine health information systems’ capacity • promote use of the data collected at all levels from the service delivery to policy makers levels • harness the potential of digital technologies for data collection and management

  12. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-OAA-L-14-00001. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. Views expressed are not necessarily those of USAID or the United States government. www.measureevaluation.org

More Related