TY - JOUR
T1 - Using participatory system dynamics learning to support Ryan White Planning Council priority setting and resource allocations
AU - Weeks, Margaret R.
AU - Green Montaque, Helena D.
AU - Lounsbury, David W.
AU - Li, Jianghong
AU - Ferguson, Alice
AU - Warren-Dias, Danielle
N1 - Funding Information:
Research reported in this publication was supported by the U.S. National Institute of Mental Health of the National Institutes of Health ( https://www.nimh.nih.gov/index.shtml ) under Award Numbers R01MH103176 and R21MH110335 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - HIV
KW - Participatory
KW - Ryan White Planning Council
KW - Simulation model
KW - System dynamics modeling
KW - Systems science
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U2 - 10.1016/j.evalprogplan.2022.102104
DO - 10.1016/j.evalprogplan.2022.102104
M3 - Article
C2 - 35660383
AN - SCOPUS:85131405774
VL - 93
JO - Evaluation and Program Planning
JF - Evaluation and Program Planning
SN - 0149-7189
M1 - 102104
ER -
