Evidence map›Paper›PMID 37407061›Full record

ArticleBMJ open2023

Examining the responsiveness of the National Health Insurance Fund to people living with hypertension and diabetes in Kenya: a qualitative study.

Robinson Oyando, Vincent Were, Ruth Willis, Hillary Koros, Jemima H Kamano, Violet Naanyu, Anthony Etyang, Richard Mugo, Adrianna Murphy, Ellen Nolte and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Robinson OyandoHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya royando@kemri-wellcome.org.ORCID 0000-0001-8768-6014
Vincent WereHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Ruth WillisDepartment of Health Service Research and Policy, London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK.
Hillary KorosAcademic Model Providing Access to Healthcare, Eldoret, Kenya.
Jemima H KamanoDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya.
Violet NaanyuDepartment of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya.
Anthony EtyangDepartment of Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Richard MugoAcademic Model Providing Access to Healthcare, Eldoret, Kenya.
Adrianna MurphyDepartment of Health Service Research and Policy, London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK.
Ellen NolteDepartment of Health Service Research and Policy, London School of Hygiene and Tropical Medicine Faculty of Public Health and Policy, London, UK.ORCID 0000-0002-2289-117X
Pablo PerelDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Edwine BarasaHealth Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Kenya Medical Research Institute · KELondon School of Hygiene & Tropical Medicine · GBAMPATH · KEMoi University · KE

Funding

Medical Research Council MR/T023538/1Wellcome TrustWellcome Trust 092654Wellcome Trust 214622
6 · The paper itself

Abstract

objectivesTo assess the responsiveness of the National Health Insurance Fund (NHIF) Supa Cover benefit package to the needs of individuals with diabetes and hypertension in Kenya. DESIGN, SETTING AND

participantsWe carried out a qualitative study and collected data using key informant interviews (n=39) and focus group discussions (n=4) in two purposively selected counties in Western Kenya. Study participants were drawn from NHIF officials, county government officials, health facility managers, healthcare workers and individuals with hypertension and diabetes who were enrolled in NHIF. We analysed data using a thematic approach.

resultsStudy participants reported that the NHIF Supa Cover benefit package expanded access to services for people living with hypertension and diabetes. However, the NHIF members and healthcare workers had inadequate awareness of the NHIF service entitlements. The NHIF benefit package inadequately covered the range of services needed by people living with hypertension and diabetes and the benefits package did not prioritise preventive and promotive services. Sometimes patients were discriminated against by healthcare providers who preferred cash-paying patients, and some NHIF-empanelled health facilities had inadequate structural inputs essential for quality of care. Study participants felt that the NHIF premium for the general scheme was unaffordable, and NHIF members faced additional out-of-pocket costs because of additional payments for services not available or covered.

conclusionWhereas NHIF has reduced financial barriers for hypertension and diabetes patients, to enhance its responsiveness to patient needs, NHIF should implement mechanisms to increase benefit package awareness among members and providers. In addition, preventive and promotive services should be included in NHIF's benefits package and mechanisms to monitor and hold contracted providers accountable should be strengthened.

Indexed as

Diabetes MellitusFinancial ManagementHypertensionHumansInsurance, HealthKenyaNational Health Programshealth economicshealth policyhypertensionpublic healthqualitative research

Identifiers

PMID37407061
PMCPMC10335555
OpenAlexW4383227544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.