Evidence map›Paper›PMID 40555448›Full record

ArticleBMJ open2025

Are client and provider preferences for HIV care coordination programme features concordant? Discrete choice experiments in Ryan White part A-funded New York City care coordination programmes.

Rebecca Zimba, Chunki Fong, Madellena Conte, Honoria Guarino, Tigran Avoundjian, Jennifer Carmona, Grace Herndon, Gina Gambone, Mary Kathryn Irvine, Denis Nash

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In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Rebecca ZimbaInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA rebecca.zimba@sph.cuny.edu.ORCID http://orcid.org/0000-0001-5278-3930
Chunki FongInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA.ORCID http://orcid.org/0000-0001-7026-5117
Madellena ConteInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA.
Honoria GuarinoInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA.
Tigran AvoundjianInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA.
Jennifer CarmonaDivision of Disease Control, New York City Department of Health and Mental Hygiene, Queens, New York, USA.
Grace HerndonBureau of Hepatitis, HIV, and Sexually Transmitted Infections, New York City Department of Health and Mental Hygiene, Queens, New York, USA.
Gina GamboneBureau of Hepatitis, HIV, and Sexually Transmitted Infections, New York City Department of Health and Mental Hygiene, Queens, New York, USA.
Mary Kathryn IrvineBureau of Hepatitis, HIV, and Sexually Transmitted Infections, New York City Department of Health and Mental Hygiene, Queens, New York, USA.ORCID http://orcid.org/0000-0003-1852-7559
Denis NashInstitute for Implementation Science in Population Health, City University of New York, Graduate School of Public Health and Health Policy, New York, New York, USA.ORCID http://orcid.org/0000-0002-3280-5386

Funding

PROMISE - Program Refinements to Optimize Model Impact and Scalability based on EvidenceR01MH117793 · NIMH · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI IRVINE, MARY KATHRYN, NASH, DENIS · 2018 to 2022
$2.8M
NIMH NIH HHS R01 MH117793
6 · The paper itself

Abstract

objectivesThe New York City (NYC) HIV Care Coordination Programme (CCP) is designed to help people with HIV (PWH) overcome barriers to care and treatment engagement. We assessed preferences for CCP components among programme enrollees ('clients') and providers. Our objective is to compare client and provider preferences, which were previously analysed separately.

designWe used a discrete choice experiment to assess preferences for four CCP features ('attributes'): Help with Adherence to Antiretroviral Therapy (ART), Help with Primary Care Appointments, Help with Issues other than Primary Care and Where Programme Visits Happen. Each of these attributes had 3-4 variants ('levels'). In the original surveys, levels within Where Programme Visits Happen varied by participant type (client vs provider). We recoded the levels by visit location (VL) or by travel time (TT) to make them comparable and report results from both approaches.

setting25 Ryan White Part A-funded NYC CCPs participated.

participants152 providers and 181 clients completed the survey. PRIMARY AND SECONDARY OUTCOME MEASURES: Preferences were quantified using the relative importance of the attributes and utility of the levels.

resultsFrom January 2020 to March 2021, 152 providers and 181 clients completed the survey. Most of the providers (52%) were <40 years, while most of the clients (60.2%) were ≥50 years. Almost half of the providers identified as Hispanic, whereas two-thirds of the clients (66.9%) identified as Black non-Hispanic. Most of the providers and clients identified as women (68.4% and 55.3%, respectively). In both the VL and TT analyses, clients were most influenced by Help with Adherence to ART (relative importance (RI) 30.5%, 95% CI 28.5% to 32.4% and 29.4%, 95% CI 27.5% to 31.4%, respectively), preferring medication reminders via phone or text, and Where Programme Visits Happen (RI 26.8%, 95% CI 25% to 28.6% and 32%, 95% CI 30.1% to 33.8%, respectively), preferring visits via phone or video chat. In the VL analysis, providers were most influenced by Help with Issues other than Primary Care (RI 26.9%, 95% CI 25.3% to 28.6%), valuing connections to specialty medical care, and by Help with Adherence to ART (RI 25.5%, 95% CI 23.5% to 27.5%), valuing directly observed therapy most highly. In the TT analysis, providers were most influenced by Where Programme Visits Happen (RI 28.2%, 95% CI 26.6% to 29.9%), preferring longer travel times, and Help with Issues other than Primary Care (RI 24.5%, 9%% CI 22.9% to 26.1%), again preferring connections to specialty medical care.

conclusionsClient and provider preferences clearly diverged regarding CCP service intensity: in the aggregate, clients tended to prefer lower-intensity services, whereas providers endorsed higher-intensity services. These results highlight the importance of engaging clients as partners in decisions about programme services to facilitate alignment with client values.

Indexed as

HIV InfectionsPatient PreferenceAdultAttitude of Health PersonnelChoice BehaviorFemaleHumansMaleMiddle AgedNew York CityPrimary Health CareSurveys and QuestionnairesHIV & AIDSImplementation ScienceMedication AdherenceVulnerable Populations

Identifiers

PMID40555448
PMCPMC12198845

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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.