biostudies-literatureWang SNIA NIH HHSNIDDK NIH HHSNational Institute on Aging1156-1167https://www.ebi.ac.uk/biostudies/studies/S-EPMC8586486biostudies-literatureUnknown56(6)<h4>Objective</h4>To examine the association between the generosity of Medicaid home- and community-based services (HCBS) and the likelihood of community discharge among Medicare-Medicaid dually enrolled older adults who were newly admitted to skilled nursing facilities (SNFs).<h4>Data sources</h4>National datasets, including Medicare Master Beneficiary Summary File (MBSF), Medicare Provider and Analysis Review (MedPAR), Medicaid Analytic eXtract (MAX), minimum data set (MDS), and publicly available data at the SNF or county level, were linked.<h4>Study design</h4>We measured Medicaid HCBS generosity by its breadth and intensity and described their variation at the county level. A set of linear probability models with SNF fixed effects were estimated to characterize the association betweenHealth services researchMedicaid home- and community-based services and discharge from skilled nursing facilities.PMC8586486R01 AG052451P30 DK092949K23 AG058757R01AG052451Konetzka RTCai SWang STemkin-Greener HSimning AfalseMedicaid home- and community-based services and discharge from skilled nursing facilities.<h4>Objective</h4>To examine the association between the generosity of Medicaid home- and community-based services (HCBS) and the likelihood of community discharge among Medicare-Medicaid dually enrolled older adults who were newly admitted to skilled nursing facilities (SNFs).<h4>Data sources</h4>National datasets, including Medicare Master Beneficiary Summary File (MBSF), Medicare Provider and Analysis Review (MedPAR), Medicaid Analytic eXtract (MAX), minimum data set (MDS), and publicly available data at the SNF or county level, were linked.<h4>Study design</h4>We measured Medicaid HCBS generosity by its breadth and intensity and described their variation at the county level. A set of linear probability models with SNF fixed effects were estimated to characterize the association between2021-01-01T00:00:00Z2021 Dec2025-04-05T09:43:25.454Z2025-04-05T09:43:25.454ZS-EPMC85864863414556710.1111/1475-6773.13690