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In repeated clinical studies, nearly half of those who received clinical \u201cdoses\u201d of the HealtheRx shared their information with others (\u201csocial doses\u201d). Clinical trial design cannot fully capture the impact of information diffusion, which can act as a force multiplier for the intervention. Furthermore, experimentation is needed to understand how intervention delivery can optimize social spread under varying circumstances. To study information diffusion from CRx under varying conditions, we built an agent-based model (ABM). This study describes the model building process and illustrates how an ABM provides insight about information diffusion through<jats:italic>in silico<\/jats:italic>experimentation. To build the ABM, we constructed a synthetic population (\u201cagents\u201d) using publicly-available data sources. Using clinical trial data, we developed empirically-informed processes simulating agent activities, resource knowledge evolution and information sharing. Using RepastHPC and chiSIM software, we replicated the intervention<jats:italic>in silico<\/jats:italic>, simulated information diffusion processes, and generated emergent information diffusion networks. The CRx ABM was calibrated using empirical data to replicate the CRx intervention<jats:italic>in silico<\/jats:italic>. We used the ABM to quantify information spread via social versus clinical dosing then conducted information diffusion experiments, comparing the social dosing effect of the intervention when delivered by physicians, nurses or clinical clerks. The synthetic population (N = 802,191) exhibited diverse behavioral characteristics, including activity and knowledge evolution patterns.<jats:italic>In silico<\/jats:italic>delivery of the intervention was replicated with high fidelity. Large-scale information diffusion networks emerged among agents exchanging resource information. Varying the propensity for information exchange resulted in networks with different topological characteristics. Community resource information spread via social dosing was nearly 4 fold that from clinical dosing alone and did not vary by delivery mode. This study, using CRx as an example, demonstrates the process of building and experimenting with an ABM to study information diffusion from, and the population-level impact of, a clinical information-based intervention. While the focus of the CRx ABM is to recreate the CRx intervention<jats:italic>in silico<\/jats:italic>, the general process of model building, and computational experimentation presented is generalizable to other large-scale ABMs of information diffusion.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1009471","type":"journal-article","created":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T17:32:32Z","timestamp":1635183152000},"page":"e1009471","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":9,"title":["Building and experimenting with an agent-based model to study the population-level impact of CommunityRx, a clinic-based community resource referral intervention"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9054-6538","authenticated-orcid":true,"given":"Stacy Tessler","family":"Lindau","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer A.","family":"Makelarski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3201-0548","authenticated-orcid":true,"given":"Chaitanya","family":"Kaligotla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2016-1170","authenticated-orcid":true,"given":"Emily M.","family":"Abramsohn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9676-087X","authenticated-orcid":true,"given":"David G.","family":"Beiser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0786-8182","authenticated-orcid":true,"given":"Chiahung","family":"Chou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2376-4156","authenticated-orcid":true,"given":"Nicholson","family":"Collier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elbert S.","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles M.","family":"Macal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3495-6735","authenticated-orcid":true,"given":"Jonathan","family":"Ozik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6898-1106","authenticated-orcid":true,"given":"Elizabeth L.","family":"Tung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2021,10,25]]},"reference":[{"key":"pcbi.1009471.ref001","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1377\/hlthaff.2018.05171","article-title":"Medicaid investments to address social needs in Oregon and California","volume":"38","author":"H Alderwick","year":"2019","journal-title":"Health Aff (Millwood)"},{"key":"pcbi.1009471.ref002","volume-title":"CMS Issues New Roadmap for States to Address the Social Determinants of Health to Improve Outcomes, Lower Costs, Support State Value-Based Care Strategies","author":"Center for Medicare & Medicaid Services","year":"2021"},{"key":"pcbi.1009471.ref003","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1377\/hlthaff.2019.01588","article-title":"Implementing Community Resource Referral Technology: Facilitators And Barriers Described By Early Adopters","volume":"39","author":"Y Cartier","year":"2020","journal-title":"Health Affairs"},{"key":"pcbi.1009471.ref004","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1377\/hlthaff.27.3.759","article-title":"The triple aim: care, health, and cost","volume":"27","author":"DM Berwick","year":"2008","journal-title":"Health Aff (Millwood)"},{"key":"pcbi.1009471.ref005","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.amepre.2017.05.011","article-title":"A Systematic Review of Interventions on Patients\u2019 Social and Economic Needs","volume":"53","author":"LM Gottlieb","year":"2017","journal-title":"Am J Prev Med"},{"key":"pcbi.1009471.ref006","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1007\/s11524-012-9764-9","article-title":"Are your asset data as good as you think? 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