Evidence map›Paper›PMID 34308222›Full record

ArticleThe East African health research journal2020

Evaluation of Implementation Level of Community Health Strategy and Its Influence on Uptake of Skilled Delivery in Lurambi Sub County-Kenya.

Rose Muhanda, Vincent Were, Henry Oyugi, Dan Kaseje

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Article in The East African health research journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Rose MuhandaDepartment of Community Health and Development, Tropical Institute of Community Development, Great Lakes University of Kisumu, Kisumu, Kenya.
Vincent WereKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Henry OyugiDepartment of Community Health and Development, Tropical Institute of Community Development, Great Lakes University of Kisumu, Kisumu, Kenya.
Dan KasejeDepartment of Community Health and Development, Tropical Institute of Community Development, Great Lakes University of Kisumu, Kisumu, Kenya.
Great Lakes University of Kisumu · KEKenya Medical Research Institute · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the widespread application of the community health strategy (CHS) in Kenya and evidence of its effectiveness in reducing health outcomes at the household level, data from Kakamega County, of which Lurambi sub-county is part of, still showed that skilled birth delivery was at 47% against the national estimateof 62% and a target of 90%. However, there was limited evidence on the level of CHS implementation and its association with the uptake of skilled delivery.

methodsThe study employed a cross-sectional analytic design. A structured validated community unit (CU) scorecard and a household questionnaire were used to collect quantitative data from the CUs through Community Health Extension Workers (CHEWs) and at the household level through mothers with children below 1 year. A random sample of 436 mothers from all the 38 Community Units (CUs) was included. CU functionality was assessed using 17 binary indicators (scored as 1 for a positive response, 0 otherwise) and total scores were expressed as percentages. Fully functional CUs scored ≥80% and semi-functional CU scored >50 to <80%. No CU was non-functional (scored ≤50%). Data from the CUs were merged with data at the household level. Association between CU functionality and skilled delivery was assessed using multivariable binary logistic regression controlling for socio-demographic variables. Adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) are reported.

resultsA total of 38 CUs were assessed and of these, 26(68.6%) were fully functional and 12(31.4%) were semi-functional, 18(47.4%) had both household registers (MOH 513) and service delivery logbooks (MOH 514). Overall, 387(80.0%) of mothers had skilled birth deliveries, 263(68%) were from functional CUs and 124(32%) were from semi-functional CUs. Pregnant women were more likely to have skilled deliveries in fully functional CUs than semi-functional CUs (OR=1.3; 95% CI=1.1-2.4; p-value<.001). Other factors significantly associated with uptake of skilled delivery included receiving health education(OR=2.9;95%CI =1.4-6.1, p=.005), being visited at least twice by Community Health Volunteers, CHVs(OR=1.9;95%CI=1.1-3.5, p=.045), attending antenatal care clinics, ANC (OR=3.4;95%CI=1.3-3.5, p=.012), receiving advice where to deliver (OR=4.1;95%CI=1.8-9.4, p=.001).

conclusion2 out of 3 community units were fully functional, and functionality was associated with increased uptake of skilled delivery. In a fully functional CUs, Community Health Volunteers provided health education through regular visits and they were able to provide a referral to health facilities for the pregnant women. To achieve national targets for skilled deliveries and universal health coverage, there is a need to ensure CUs are fully functional.

Identifiers

PMID34308222
PMCPMC8279223
OpenAlexW3043268765

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