{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21(1)"],"submitter":["Miech EJ"],"funding":["VHA National Center for Health Promotion and Disease Prevention"],"pubmed_abstract":["<h4>Background</h4>While the Veterans Health Administration (VHA) MOVE! weight management program is effective in helping patients lose weight and is available at every VHA medical center across the United States, reaching patients to engage them in treatment remains a challenge. Facility-based MOVE! programs vary in structures, processes of programming, and levels of reach, with no single factor explaining variation in reach. Configurational analysis, based on Boolean algebra and set theory, represents a mathematical approach to data analysis well-suited for discerning how conditions interact and identifying multiple pathways leading to the same outcome. We applied configurational analysis to identify facility-level obesity treatment program arrangements that directly linked to higher rea"],"journal":["BMC health services research"],"pagination":["797"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8359110"],"repository":["biostudies-literature"],"pubmed_title":["Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming."],"pmcid":["PMC8359110"],"pubmed_authors":["Freitag MB","Spohr SA","Miech EJ","Evans RR","Burns JA","Wiitala WL","Annis A","Damschroder LJ","Raffa SD"],"additional_accession":[]},"is_claimable":false,"name":"Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming.","description":"<h4>Background</h4>While the Veterans Health Administration (VHA) MOVE! weight management program is effective in helping patients lose weight and is available at every VHA medical center across the United States, reaching patients to engage them in treatment remains a challenge. Facility-based MOVE! programs vary in structures, processes of programming, and levels of reach, with no single factor explaining variation in reach. Configurational analysis, based on Boolean algebra and set theory, represents a mathematical approach to data analysis well-suited for discerning how conditions interact and identifying multiple pathways leading to the same outcome. We applied configurational analysis to identify facility-level obesity treatment program arrangements that directly linked to higher rea","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Aug","modification":"2025-06-01T12:11:47.194Z","creation":"2025-06-01T12:11:47.194Z"},"accession":"S-EPMC8359110","cross_references":{"pubmed":["34380495"],"doi":["10.1186/s12913-021-06774-w"]}}