Evidence map›Paper›PMID 35660383›Full record

ArticleEvaluation and program planning2022

Using participatory system dynamics learning to support Ryan White Planning Council priority setting and resource allocations.

Margaret R Weeks, Helena D Green Montaque, David W Lounsbury, Jianghong Li, Alice Ferguson, Danielle Warren-Dias

Abstract read
In one paragraph

Article in Evaluation and program planning, 2022. 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

6 authors.

Margaret R WeeksInstitute for Community Research, 2 Hartford Sq. W., Ste. 210, Hartford, CT 06106, USA. Electronic address: mweeks@icrweb.org.
Helena D Green MontaqueInstitute for Community Research, 2 Hartford Sq. W., Ste. 210, Hartford, CT 06106, USA. Electronic address: Danielle.green@icrweb.org.
David W LounsburyAlbert Einstein College of Medicine, Montefiore Medical Center, 1300 Morris Park Avenue, Van Etten 3A2D (Wing A), Bronx, NY 10461, USA. Electronic address: david.lounsbury@einsteinmed.org.
Jianghong LiInstitute for Community Research, 2 Hartford Sq. W., Ste. 210, Hartford, CT 06106, USA. Electronic address: Jianghong.li@icrweb.org.
Alice FergusonHuman Resources Agency of New Britain, 180 Clinton Street, New Britain, CT 06053, USA. Electronic address: alicefergi11@ymail.com.
Danielle Warren-DiasConnecticut Children's Medical Center/UConn Health, 282 Washington Street, Hartford CT 06106, USA. Electronic address: dwarren@uchc.edu.

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

The Ryan White CARE Act provides federal dollars supporting low income people living with HIV/AIDS (PLWH). Regional Ryan White Planning Councils (RWPC) are responsible for setting priorities and deciding CARE Act fund allocations, using local data to identify greatest need. However, RWPC are challenged with interpreting complex epidemiological, service utilization, and community needs data to inform priority setting and resource allocations. We piloted system dynamics (SD) learning, using a validated HIV care continuum SD simulation model calibrated to one northeastern U.S. Ryan White funding area. The pilot applied systems thinking to understand the complex HIV care continuum and to simulate and compare outcomes of various resource allocation decisions. Three scripted workshops provided opportunities to learn the SD modeling process and simulation tool, simulate various resource allocations, and compare population health outcomes. Mixed methods evaluation documented the SD modeling process, member responses to the modeling sessions, and attitudes regarding benefits and limitations of SD modeling for RWPC decision-making. Despite high member turnover and complexity of the SD model, members could understand the simulation model and propose strategies to seek greatest improvements in HIV care retention, viral suppression, and reduced infections. Findings suggests the value of SD modeling to assist RWPC decisions.

Indexed as

HIV InfectionsContinuity of Patient CareHumansProgram EvaluationResource AllocationUnited StatesHIVParticipatoryRyan White Planning CouncilSimulation modelSystem dynamics modelingSystems science

Identifiers

PMID35660383
PMCPMC10324540

What OpenQuestion holds

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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.