Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015
Abstract Background Health 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 availabili...
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ftdoajarticles:oai:doaj.org/article:b2adfecbd99e48009387f2617e9b2287 2023-05-15T15:14:20+02:00 Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 Sophie Githinji Robinson Oyando Josephine Malinga Waqo Ejersa David Soti Josea Rono Robert W. Snow Ann M. Buff Abdisalan M. Noor 2017-08-01T00:00:00Z https://doi.org/10.1186/s12936-017-1973-y https://doaj.org/article/b2adfecbd99e48009387f2617e9b2287 EN eng BMC http://link.springer.com/article/10.1186/s12936-017-1973-y https://doaj.org/toc/1475-2875 doi:10.1186/s12936-017-1973-y 1475-2875 https://doaj.org/article/b2adfecbd99e48009387f2617e9b2287 Malaria Journal, Vol 16, Iss 1, Pp 1-11 (2017) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2017 ftdoajarticles https://doi.org/10.1186/s12936-017-1973-y 2022-12-31T04:20:47Z Abstract Background Health 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 <5 years; 30.6–51.4%, p < 0.0001, in persons aged ≥5 years). Completeness of reporting of new antenatal care (ANC) clients increased from 53.7 to 70.5%, p < 0.0001). Completeness of reporting of intermittent preventive treatment in pregnancy (IPTp) decreased from 64.8 to 53.7%, p < 0.0001 for dose 1 and from 64.6 to 53.4%, p < 0.0001 for dose 2. Data on malaria tests performed and test results were not available in DHIS2 from 2011 to 2014. In 2015, sparse data on microscopy (11.5% for children aged <5 years; 11.8% for persons aged ≥5 years) and malaria rapid diagnostic tests (RDTs) (8.1% for all ages) were reported. In the private sector, completeness of reporting increased significantly for confirmed malaria cases across all age categories (16.7–23.1%, p < 0.0001, in ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 16 1 |
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ftdoajarticles |
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English |
topic |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Sophie Githinji Robinson Oyando Josephine Malinga Waqo Ejersa David Soti Josea Rono Robert W. Snow Ann M. Buff Abdisalan M. Noor Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Health 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 <5 years; 30.6–51.4%, p < 0.0001, in persons aged ≥5 years). Completeness of reporting of new antenatal care (ANC) clients increased from 53.7 to 70.5%, p < 0.0001). Completeness of reporting of intermittent preventive treatment in pregnancy (IPTp) decreased from 64.8 to 53.7%, p < 0.0001 for dose 1 and from 64.6 to 53.4%, p < 0.0001 for dose 2. Data on malaria tests performed and test results were not available in DHIS2 from 2011 to 2014. In 2015, sparse data on microscopy (11.5% for children aged <5 years; 11.8% for persons aged ≥5 years) and malaria rapid diagnostic tests (RDTs) (8.1% for all ages) were reported. In the private sector, completeness of reporting increased significantly for confirmed malaria cases across all age categories (16.7–23.1%, p < 0.0001, in ... |
format |
Article in Journal/Newspaper |
author |
Sophie Githinji Robinson Oyando Josephine Malinga Waqo Ejersa David Soti Josea Rono Robert W. Snow Ann M. Buff Abdisalan M. Noor |
author_facet |
Sophie Githinji Robinson Oyando Josephine Malinga Waqo Ejersa David Soti Josea Rono Robert W. Snow Ann M. Buff Abdisalan M. Noor |
author_sort |
Sophie Githinji |
title |
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
title_short |
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
title_full |
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
title_fullStr |
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
title_full_unstemmed |
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011–2015 |
title_sort |
completeness of malaria indicator data reporting via the district health information software 2 in kenya, 2011–2015 |
publisher |
BMC |
publishDate |
2017 |
url |
https://doi.org/10.1186/s12936-017-1973-y https://doaj.org/article/b2adfecbd99e48009387f2617e9b2287 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 16, Iss 1, Pp 1-11 (2017) |
op_relation |
http://link.springer.com/article/10.1186/s12936-017-1973-y https://doaj.org/toc/1475-2875 doi:10.1186/s12936-017-1973-y 1475-2875 https://doaj.org/article/b2adfecbd99e48009387f2617e9b2287 |
op_doi |
https://doi.org/10.1186/s12936-017-1973-y |
container_title |
Malaria Journal |
container_volume |
16 |
container_issue |
1 |
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1766344794183827456 |