Evidence map›Paper›PMID 34432795›Full record

ArticlePloS one2021

Preferences of people living with HIV for differentiated care models in Kenya: A discrete choice experiment.

Sagar Dommaraju, Jill Hagey, Thomas A Odeny, Sharon Okaka, Julie Kadima, Elizabeth A Bukusi, Craig R Cohen, Zachary Kwena, Ingrid Eshun-Wilson, Elvin Geng

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In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

10 authors.

Sagar DommarajuDepartment of Global Health, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-3884-3954
Jill HageyDepartment of Obstetrics and Gynecology, Duke University Hospital, Durham, North Carolina, United States of America.
Thomas A OdenyDepartment of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America.
Sharon OkakaKenya Medical Research Institute, Nairobi, Kenya.
Julie KadimaKenya Medical Research Institute, Nairobi, Kenya.
Elizabeth A BukusiKenya Medical Research Institute, Nairobi, Kenya.
Craig R CohenDepartment of Global Health, University of California San Francisco, San Francisco, California, United States of America.
Zachary KwenaKenya Medical Research Institute, Nairobi, Kenya.
Ingrid Eshun-WilsonDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Elvin GengDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.

Funding

Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
NCATS NIH HHS KL2 TR002346NIAID NIH HHS K24 AI134413
6 · The paper itself

Abstract

introductionTo improve retention on HIV treatment in Africa, public health programs are promoting a family of innovations to service delivery-referred to as "differentiated service delivery" (DSD) models-which seek to better meet the needs of both systems and patients by reducing unnecessary encounters, expanding access, and incorporating peers and patients in patient care. Data on the relative desirability of different models to target populations, which is currently sparse, can help guide prioritization of specific models during scale-up.

methodsWe conducted a discrete choice experiment to assess patient preferences for various characteristics of treatment services. Clinically stable people living with HIV were recruited from an HIV clinic in Kisumu, Kenya. We selected seven attributes of DSD models drawn from literature review and previous qualitative work. We created a balanced and orthogonal design to identify main term effects. A total of ten choice tasks were solicited per respondent. We calculated relative utility (RU) for each attribute level, a numerical representation of the strength of patient preference. Data were analyzed using a Hierarchical Bayesian model via Sawtooth Software.

resultsOne hundred and four respondents (37.5% men, 41.1 years mean age) preferred receiving care at a health facility, compared with home-delivery or a community meeting point (RU = 69.3, -16.2, and -53.1, respectively; p << 0.05); receiving those services from clinicians and pharmacists-as opposed to lay health workers or peers (RU = 21.5, 5.9, -24.5; p < 0.05); and preferred an individual support system over a group support system (RU = 15.0 and 4.2; p < 0.05). Likewise, patients strongly preferred longer intervals between both clinical reviews (RU = 40.1 and -50.7 for 6- and 1-month spacing, respectively; p < 0.05) and between ART collections (RU = 33.6 and -49.5 for 6- and1-month spacing, respectively; p < 0.05).

conclusionAlthough health systems find community- and peer-based DSD models attractive, clinically stable patients expressed a preference for facility-based care as long as clinical visits were extended to biannual. These data suggest that multi-month scripting and fast-track models best align with patient preferences, an insight which can help prioritize use of different DSD models in the region.

Indexed as

Choice BehaviorHIVAdolescentAdultAgedAmbulatory CareAmbulatory Care FacilitiesAnti-HIV AgentsBayes TheoremDelivery of Health CareFemaleGovernment ProgramsHealth PersonnelHIV InfectionsHumansKenyaAnti-HIV Agents

Identifiers

PMID34432795
PMCPMC8386850

What OpenQuestion holds

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Registered trials

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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.