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DC Field | Value | Language |
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dc.contributor.author | Jeremiah, Laktabai | - |
dc.contributor.author | Alyssa, Platt | - |
dc.contributor.author | Diana, Menya | - |
dc.contributor.author | Elizabeth L., Turner | - |
dc.contributor.author | Daniel, Aswa | - |
dc.contributor.author | Stephen, Kinoti | - |
dc.contributor.author | Wendy, Prudhomme O'Meara | - |
dc.date.accessioned | 2018-02-09T07:34:21Z | - |
dc.date.available | 2018-02-09T07:34:21Z | - |
dc.date.issued | 2018-02-01 | - |
dc.identifier.issn | https://doi.org/10.1371/journal. | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/xmlui/handle/123456789/512 | - |
dc.description.abstract | Background Community health workers (CHWs) play an important role in improving access to services in areas with limited health infrastructure or workforce. Supervision of CHWs by qualified health professionals is the main link between this lay workforce and the formal health system. The quality of services provided by lay health workers is dependent on adequate supportive supervision. It is however one of the weakest links in CHW programs due to logistical and resource constraints, especially in large scale programs. Interventions such as point of care testing using malaria rapid diagnostic tests (RDTs) require real time monitoring to ensure diagnostic accuracy. In this study, we evaluated the utility of a mobile health technology platform to remotely monitor malaria RDT (mRDT) testing by CHWs for quality improvement | en_US |
dc.description.sponsorship | Wendy Prudhomme O'Meara | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Moi University | en_US |
dc.subject | Health technology | en_US |
dc.subject | Quality assurance | en_US |
dc.subject | Quality improvement | en_US |
dc.subject | Malaria diagnosis | en_US |
dc.subject | Community health workers | en_US |
dc.title | A mobile health technology platform for quality assurance and quality improvement of malaria diagnosis by community health workers | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Medicine |
Files in This Item:
File | Description | Size | Format | |
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laktabai.pdf | 3.17 MB | Adobe PDF | View/Open |
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