{"doi":"10.37765/ajmc.2024.89549","title":"Modeling the Economic Value of Cardiometabolic Virtual-First Care Programs","abstract":"OBJECTIVES: This study simulated the potential multiyear health and economic benefits of participation in 4 cardiometabolic virtual-first care (V1C) programs: prevention, hypertension, diabetes, and diabetes plus hypertension. STUDY DESIGN: Using nationally available data and existing clinical and demographic information from members participating in cardiometabolic V1C programs, a microsimulation approach was used to estimate potential reduction in onset of disease sequelae and associated gross savings (ie, excluding the cost of V1C programs) in health care costs. METHODS: Members of each program were propensity matched to similar records in the combined 2012-2020 National Health and Nutrition Examination Survey files based on age, sex, race/ethnicity, body mass index, and diagnosis status of diabetes and/or hypertension. V1C program-attributed changes in clinical outcomes combined with baseline biometric levels and other risk factors were used as inputs to model disease onset and related gross health care costs. RESULTS: Across the V1C programs, sustained improvements in weight loss, hemoglobin A1c, and blood pressure levels were estimated to reduce incidence of modeled disease sequelae by 2% to 10% over the 5 years following enrollment. As a result of sustained improvement in biometrics and reduced disease onset, the estimated gross savings in medical expenditures across the programs would be $892 to $1342 after 1 year, and cumulative estimated gross medical savings would be $2963 to $4346 after 3 years and $5221 to $7756 after 5 years. In addition, high program engagement was associated with greater health and economic benefits. CONCLUSIONS: V1C programs for prevention and management of cardiometabolic chronic conditions have potential long-term health and financial implications.","journal":"The American Journal of Managed Care","year":2024,"id":429583,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8852,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":456726,"name":"Madison Noble","orcid":"0000-0003-0352-0127","position":0,"is_corresponding":true}],"reference_count":247,"raw_metadata":null,"created_at":"2026-07-19T01:59:11.328802Z","pmid":"38820183","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}