Evidence map›Paper›PMID 32537642›Full record

ArticleHealth policy and planning2020

Preferences of healthcare providers for capitation payment in Kenya: a discrete choice experiment.

Melvin Obadha, Jane Chuma, Jacob Kazungu, Gilbert Abotisem Abiiro, Matthew J Beck, Edwine Barasa

Open access · hybridAbstract read
In one paragraph

Article in Health policy and planning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

6 authors at 3 institutions in 4 countries.

Melvin ObadhaHealth Economics Research Unit, KEMRI|Wellcome Trust Research Programme, P.O. Box 43640 - 00100, Nairobi, Kenya.
Jane ChumaHealth Economics Research Unit, KEMRI|Wellcome Trust Research Programme, P.O. Box 43640 - 00100, Nairobi, Kenya.
Jacob KazunguHealth Economics Research Unit, KEMRI|Wellcome Trust Research Programme, P.O. Box 43640 - 00100, Nairobi, Kenya.
Gilbert Abotisem AbiiroDepartment of Planning, Faculty of Planning and Land Management, University for Development Studies, Wa, Ghana.
Matthew J BeckInstitute of Transport and Logistics Studies, Business School, The University of Sydney, Darlington, New South Wales 2006, Australia.
Edwine BarasaHealth Economics Research Unit, KEMRI|Wellcome Trust Research Programme, P.O. Box 43640 - 00100, Nairobi, Kenya.
Kenya Medical Research Institute · KEThe University of Sydney · AUUniversity for Development Studies · GH

Funding

Wellcome Trust
6 · The paper itself

Abstract

Provider payment mechanisms (PPMs) are important to the universal health coverage (UHC) agenda as they can influence healthcare provider behaviour and create incentives for health service delivery, quality and efficiency. Therefore, when designing PPMs, it is important to consider providers' preferences for PPM characteristics. We set out to uncover senior health facility managers' preferences for the attributes of a capitation payment mechanism in Kenya. We use a discrete choice experiment and focus on four capitation attributes, namely, payment schedule, timeliness of payments, capitation rate per individual per year and services to be paid by the capitation rate. Using a Bayesian efficient experimental design, choice data were collected from 233 senior health facility managers across 98 health facilities in seven Kenyan counties. Panel mixed multinomial logit and latent class models were used in the analysis. We found that capitation arrangements with frequent payment schedules, timelier disbursements, higher payment rates per individual per year and those that paid for a limited set of health services were preferred. The capitation rate per individual per year was the most important attribute. Respondents were willing to accept an increase in the capitation rate to compensate for bundling a broader set of health services under the capitation payment. In addition, we found preference heterogeneity across respondents and latent classes. In conclusion, these attributes can be used as potential targets for interventions aimed at configuring capitation to achieve UHC.

Indexed as

Health PersonnelUniversal Health InsuranceBayes TheoremHealth FacilitiesHumansKenyaProspective Payment SystemCapitationdiscrete choice experimentprovider payment mechanismstrategic purchasing

Identifiers

PMID32537642
PMCPMC7487334
OpenAlexW3035268210

What Socratic 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 Socratic graph.