Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011-2015
| Autor: | Robinson Oyando, Waqo Ejersa, Josephine Malinga, Sophie Githinji, Abdisalan M. Noor, Robert W. Snow, Josea Rono, David Soti, Ann M. Buff |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
lcsh:Arctic medicine. Tropical medicine lcsh:RC955-962 030231 tropical medicine Psychological intervention Developing country Health informatics lcsh:Infectious and parasitic diseases 03 medical and health sciences Health Information Systems 0302 clinical medicine Health facility Environmental health parasitic diseases medicine Humans lcsh:RC109-216 030212 general & internal medicine Data reporting Disease Notification HRHIS business.industry Public health Research 1. No poverty medicine.disease Kenya 3. Good health Malaria Infectious Diseases Parasitology business Software |
| Zdroj: | Malaria Journal Malaria Journal, Vol 16, Iss 1, Pp 1-11 (2017) |
| ISSN: | 1475-2875 |
| Popis: | BackgroundHealth facility-based data reported through routine health information systems form the primary data source for programmatic monitoring and evaluation in most developing countries. The adoption of District Health Information Software (DHIS2) has contributed to improved availability of routine health facility-based data in many low-income countries. An assessment of malaria indicators data reported by health facilities in Kenya during the first 5 years of implementation of DHIS2, from January 2011 to December 2015, was conducted. Methods Data on 19 malaria indicators reported monthly by health facilities were extracted from the online Kenya DHIS2 database. Completeness of reporting was analysed for each of the 19 malaria indicators and expressed as the percentage of data values actually reported over the expected number; all health facilities were expected to report data for each indicator for all 12 months in a year. Results Malaria indicators data were analysed for 6235 public and 3143 private health facilities. Between 2011 and 2015, completeness of reporting in the public sector increased significantly for confirmed malaria cases across all age categories (26.5–41.9%, p < 0.0001, in children aged Conclusions There have been sustained improvements in the completeness of data reported for most key malaria indicators since the adoption of DHIS2 in Kenya in 2011. However, major data gaps were identified for the malaria-test indicator and overall low reporting across all indicators from private health facilities. A package of proven DHIS2 implementation interventions and performance-based incentives should be considered to improve private-sector data reporting. |
| Databáze: | OpenAIRE |
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