Evidence map›Paper›PMID 29154393›Full record

ArticleAmerican journal of community psychology2017

Using Participatory System Dynamics Modeling to Examine the Local HIV Test and Treatment Care Continuum in Order to Reduce Community Viral Load.

Margaret R Weeks, Jianghong Li, David Lounsbury, Helena Danielle Green, Maryann Abbott, Marcie Berman, Lucy Rohena, Rosely Gonzalez, Shawn Lang, Heather Mosher

Abstract read
In one paragraph

Article in American journal of community psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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.

Margaret R WeeksInstitute for Community Research, Hartford, CT, USA.
Jianghong LiInstitute for Community Research, Hartford, CT, USA.
David LounsburyAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Helena Danielle GreenInstitute for Community Research, Hartford, CT, USA.
Maryann AbbottInstitute for Community Research, Hartford, CT, USA.
Marcie BermanInstitute for Community Research, Hartford, CT, USA.
Lucy RohenaInstitute for Community Research, Hartford, CT, USA.
Rosely GonzalezInstitute for Community Research, Hartford, CT, USA.
Shawn LangAIDS Connecticut, Hartford, CT, USA.
Heather MosherInstitute for Community Research, Hartford, CT, USA.

Funding

Examining Multilevel System Dynamics Affecting HIV Community Viral LoadR01MH103176 · NIMH · INSTITUTE FOR COMMUNITY RESEARCH · PI WEEKS, MARGARET R. · 2015 to 2019
$4.0M
Participatory System Dynamics Modeling to Simulate HIV Test-and-Treat ImprovementsR21MH110335 · NIMH · INSTITUTE FOR COMMUNITY RESEARCH · PI WEEKS, MARGARET R. · 2016 to 2017
$464k
NIMH NIH HHS R01 MH103176NIMH NIH HHS R21 MH110335
6 · The paper itself

Abstract

Achieving community-level goals to eliminate the HIV epidemic requires coordinated efforts through community consortia with a common purpose to examine and critique their own HIV testing and treatment (T&T) care system and build effective tools to guide their efforts to improve it. Participatory system dynamics (SD) modeling offers conceptual, methodological, and analytical tools to engage diverse stakeholders in systems conceptualization and visual mapping of dynamics that undermine community-level health outcomes and identify those that can be leveraged for systems improvement. We recruited and engaged a 25-member multi-stakeholder Task Force, whose members provide or utilize HIV-related services, to participate in SD modeling to examine and address problems of their local HIV T&T service system. Findings from the iterative model building sessions indicated Task Force members' increasingly complex understanding of the local HIV care system and demonstrated their improved capacity to visualize and critique multiple models of the HIV T&T service system and identify areas of potential leverage. Findings also showed members' enhanced communication and consensus in seeking deeper systems understanding and options for solutions. We discuss implications of using these visual SD models for subsequent simulation modeling of the T&T system and for other community applications to improve system effectiveness.

Indexed as

Continuity of Patient CareHealth ServicesViral LoadAdvisory CommitteesCommunity-Based Participatory ResearchDelivery of Health CareHIV InfectionsHumansSystems AnalysisCommunity viral loadGroup model buildingHuman immunodeficiency virusParticipatorySystem dynamics modelingTest and treatment

Identifiers

PMID29154393
PMCPMC5729085

What OpenQuestion holds

Textmetadata
LicenceTDM
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.