Evidence map›Paper›PMID 30102693›Full record

ArticlePLoS medicine2018

Understanding preferences for HIV care and treatment in Zambia: Evidence from a discrete choice experiment among patients who have been lost to follow-up.

Arianna Zanolini, Kombatende Sikombe, Izukanji Sikazwe, Ingrid Eshun-Wilson, Paul Somwe, Carolyn Bolton Moore, Stephanie M Topp, Nancy Czaicki, Laura K Beres, Chanda P Mwamba and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06803316 (Optimizing Care Delivery to Support Reengagement in PLWH Returning to HIV Care After Treatment Lapses in Zambia), which is not on this map. Cited by 87 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 4 pooled it
27.4field-weighted citation impact, top 1% 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.

NCT06803316 completednot on this mapstarted 2022, after this paper: background citation

Optimizing Care Delivery to Support Reengagement in PLWH Returning to HIV Care After Treatment Lapses in Zambia

Typeobservational_patient_registrySponsorCentre for Infectious Disease Research in ZambiaRan2022 to 2025Enrolled658ConditionsHIV Antiretroviral Therapy (ART) Adherence
3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 4 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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27 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 3 countries.

Arianna ZanoliniUnited Kingdom Department for International Development, Dar Es Salaam office, Dar Es Salaam, Tanzania.ORCID 0000-0001-7983-5649
Kombatende SikombeCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Izukanji SikazweCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Ingrid Eshun-WilsonUniversity of California, San Francisco, San Francisco, California, United States of America.
Paul SomweCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Carolyn Bolton MooreCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0001-9103-7746
Stephanie M ToppJames Cook University, Townsville, Australia.ORCID 0000-0002-3448-7983
Nancy CzaickiUniversity of California, San Francisco, San Francisco, California, United States of America.
Laura K BeresJohns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0002-4731-7828
Chanda P MwambaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7626-6273
Nancy PadianUniversity of California, Berkeley, Berkeley, California, United States of America.
Charles B HolmesCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7924-6761
Elvin H GengUniversity of California, San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-0825-1424
Centre for Infectious Disease Research in Zambia · ZMUniversity of California, San Francisco · USJames Cook University · AUJohns Hopkins University · USUniversity of California, Berkeley · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
Patterns and Factors Influencing Return to Care among HIV Patients in ZambiaF31MH109378 · NIMH · JOHNS HOPKINS UNIVERSITY · PI BERES, LAURA · 2016 to 2019
$157k
NIAID NIH HHS K24 AI134413NIAID NIH HHS P30 AI027763NIMH NIH HHS F31 MH109378
6 · The paper itself

Abstract

backgroundIn public health HIV treatment programs in Africa, long-term retention remains a challenge. A number of improvement strategies exist (e.g., bring services closer to home, reduce visit frequency, expand hours of clinic operation, improve provider attitude), but implementers lack data about which to prioritize when resource constraints preclude implementing all. We used a discrete choice experiment (DCE) to quantify preferences for a number of potential clinic improvements to enhance retention. METHODS AND

findingsWe sought a random sample of HIV patients who were lost to follow-up (defined as >90 days late for their last scheduled appointment) from treatment facilities in Lusaka Province, Zambia. Among those contacted, we asked patients to choose between 2 hypothetical clinics in which the following 5 attributes of those facilities were varied: waiting time at the clinic (1, 3, or 5 hours), distance from residence to clinic (5, 10, or 20 km), ART supply given at each refill (1, 3, or 5 months), hours of operation (morning only, morning and afternoon, or morning and Saturday), and staff attitude ("rude" or "nice"). We used mixed-effects logistic regression to estimate relative utility (i.e., preference) for each attribute level. We calculated how much additional waiting time or travel distance patients were willing to accept in order to obtain other desired features of care. Between December 9, 2015 and May 31, 2016, we offered the survey to 385 patients, and 280 participated (average age 35; 60% female). Patients exhibited a strong preference for nice as opposed to rude providers (relative utility of 2.66; 95% CI 1.9-3.42; p < 0.001). In a standard willingness to wait or willingness to travel analysis, patients were willing to wait 19 hours more or travel 45 km farther to see nice rather than rude providers. An alternative analysis, in which trade-offs were constrained to values actually posed to patients in the experiment, suggested that patients were willing to accept a facility located 10 km from home (as opposed to 5) that required 5 hours of waiting per visit (as opposed to 1 hour) and that dispensed 3 months of medications (instead of 5) in order to access nice (as opposed to rude) providers. This study was limited by the fact that attributes included in the experiment may not have captured additional important determinants of preference.

conclusionsIn this study, patients were willing to expend considerable time and effort as well as accept substantial inconvenience in order to access providers with a nice attitude. In addition to service delivery redesign (e.g., differentiated service delivery models), current improvement strategies should also prioritize improving provider attitude and promoting patient centeredness-an area of limited policy attention to date.

Indexed as

Ambulatory CareAttitude of Health PersonnelChoice BehaviorLost to Follow-UpPatient PreferenceRetention in CareAdultAntiretroviral Therapy, Highly ActiveFemaleHIV InfectionsHumansLogistic ModelsMaleTime FactorsZambia

Identifiers

PMID30102693
PMCPMC6089406
OpenAlexW2887383763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.