dc.contributor.author | Gesicho, Milka Bochere | |
dc.contributor.author | Babic, Ankica | |
dc.contributor.author | Were, Martin C. | |
dc.date.accessioned | 2021-04-21T09:21:43Z | |
dc.date.available | 2021-04-21T09:21:43Z | |
dc.date.created | 2020-07-05T21:45:12Z | |
dc.date.issued | 2020 | |
dc.Published | Studies in Health Technology and Informatics. 2020, 272 143-146. | |
dc.identifier.issn | 0926-9630 | |
dc.identifier.uri | https://hdl.handle.net/11250/2738820 | |
dc.description.abstract | Health management information systems (HMISs) in low- and middle-income countries have been used to collect large amounts of data after years of implementation, especially in support of HIV care services. National-level aggregate reporting data derived from HMISs are essential for informed decision-making. However, the optimal statistical approaches and algorithms for deriving key insights from these data are yet to be fully and adequately utilized. This paper demonstrates use of the k-means clustering algorithm as an approach in supporting monitoring of facility reporting and data-informed decision-making, using the case example of Kenya HIV national reporting data. Results reveal four homogeneous cluster categories that can be used in assessing overall facility performance and rating of that performance. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IOS Press | en_US |
dc.rights | Navngivelse-Ikkekommersiell 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/deed.no | * |
dc.title | K-Means Clustering in Monitoring Facility Reporting of HIV Indicator Data: Case of Kenya | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2020 The authors and IOS Press. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.3233/SHTI200514 | |
dc.identifier.cristin | 1818619 | |
dc.source.journal | Studies in Health Technology and Informatics | en_US |
dc.source.40 | 272 | |
dc.source.pagenumber | 143-146 | en_US |
dc.identifier.citation | Studies in Health Technology and Informatics. 2020, 272, 143-146. | en_US |
dc.source.volume | 272 | en_US |