Evidence map›Paper›PMID 31990930›Full record

ArticlePloS one2020

Optimizing differentiated treatment models for people living with HIV in urban Zimbabwe: Findings from a mixed methods study.

Miriam Rabkin, Michael Strauss, Joanne E Mantell, Munyaradzi Mapingure, Tsitsi B Masvawure, Matthew R Lamb, Jennifer M Zech, Godfrey Musuka, Innocent Chingombe, Martin Msukwa and 4 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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

27 citing papers in PubMed, 1 synthesis or guideline 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

14 authors.

Miriam RabkinICAP at Columbia University, New York, New York, United States of America.ORCID 0000-0002-2342-4362
Michael StraussHealth Economics and HIV/AIDS Research Division (HEARD), University of KwaZulu Natal, Durban, South Africa.ORCID 0000-0001-7849-8812
Joanne E MantellDepartment of Psychiatry, Division of Gender, Sexuality and Health, Columbia University, New York, New York, United States of America.
Munyaradzi MapingureICAP at Columbia University, Harare, Zimbabwe.ORCID 0000-0002-7777-9492
Tsitsi B MasvawureDepartment of Sociology and Anthropology, College of the Holy Cross, Worcester, Massachusetts, United States of America.
Matthew R LambICAP at Columbia University, New York, New York, United States of America.
Jennifer M ZechICAP at Columbia University, New York, New York, United States of America.
Godfrey MusukaICAP at Columbia University, Harare, Zimbabwe.ORCID 0000-0001-9077-4429
Innocent ChingombeICAP at Columbia University, Harare, Zimbabwe.
Martin MsukwaICAP at Columbia University, Pretoria, South Africa.
Rodrigo BoccaneraHealth Resources and Services Administration (HRSA), Bethesda, Maryland, United States of America.
Clorata GwanzuraMinistry of Health and Child Care, HIV/AIDS and STIs Unit, Harare, Zimbabwe.
Gavin GeorgeHealth Economics and HIV/AIDS Research Division (HEARD), University of KwaZulu Natal, Durban, South Africa.
Tsitsi ApolloMinistry of Health and Child Care, HIV/AIDS and STIs Unit, Harare, Zimbabwe.

Funding

PEPFAR
6 · The paper itself

Abstract

introductionZimbabwe is scaling up HIV differentiated service delivery (DSD) to improve treatment outcomes and health system efficiencies. Shifting stable patients into less-intensive DSD models is a high priority in order to accommodate the large numbers of newly-diagnosed people living with HIV (PLHIV) needing treatment and to provide healthcare workers with the time and space needed to treat people with advanced HIV disease. DSD is also seen as a way to improve service quality and enhance retention in care. National guidelines support five differentiated antiretroviral treatment models (DART) for stable HIV-positive adults, but little is known about patient preferences, a critical element needed to guide DART scale-up and ensure person-centered care. We designed a mixed-methods study to explore treatment preferences of PLHIV in urban Zimbabwe.

methodsThe study was conducted in Harare, and included 35 health care worker (HCW) key informant interviews (KII); 8 focus group discussions (FGD) with 54 PLHIV; a discrete choice experiment (DCE) in which 500 adult DART-eligible PLHIV selected their preferences for health facility (HF) vs. community location, individual vs. group meetings, provider cadre and attitude, clinic operation times, visit frequency, visit duration and cost to patient; and a survey with the 500 DCE participants exploring DART knowledge and preferences.

resultsPatient preferences were consistent in the FGDs, DCE and survey. Participants strongly preferred respectful HCWs, HF-based services, individual DART models, and less costly services. Patients also preferred less frequent visits and shorter wait times. They were indifferent to variations in HCW cadre and distances from home to HF. These preferences were mostly homogenous, with only minor differences between male vs. female and older vs. younger patients. HCWs in the KII correctly characterized facility-based individual models as the one most favored by patients; HCWs also preferred this model, which they felt decongested HFs and reduced their workload.

conclusionsDART-eligible PLHIV in Harare found it relatively easy to access HFs, and preferred attributes associated with facility-based individual models. Prioritizing these for scale-up in urban areas may be the most efficient way to sustain positive patient outcomes and increase health system performance.

Indexed as

AdolescentAdultAmbulatory CareAnti-HIV AgentsChoice BehaviorConfidentialityFemaleFocus GroupsHIV InfectionsHumansMaleSurveys and QuestionnairesUrban PopulationYoung AdultZimbabweAnti-HIV Agents

Identifiers

PMID31990930
PMCPMC6986745

What OpenQuestion holds

Textmetadata
LicenceCC0
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.