{"doi":"10.1111/josh.70042","title":"Evaluating InPACT Intervention‐Context Fit in Resource‐Limited School Districts in Central Michigan","abstract":"BACKGROUND: Many school-based physical activity (PA) interventions are implemented without adequately assessing their contextual fit, which can hinder their effectiveness and sustainment, ultimately reducing their impact on student health and well-being. This study aimed to assess the pre-implementation fit of the Interrupting Prolonged Sitting with ACTivity (InPACT) classroom PA intervention in one resource-limited intermediate school district (ISD; encompassing 16 local districts and 32 elementary schools) in central Michigan. METHODS: Assessments were conducted by the regional school health coordinator and ISD support staff during 2020-2021, using the Hexagon Discussion and Analysis Tool. Ratings on a 5-point Likert scale were totaled for need, fit, support, evidence, usability, and capacity. RESULTS: The first assessment score was 19/30; the second assessment score was 28/30, indicating a 47% increase in fit over a year. Field notes revealed a growing need for school-based PA due to limited opportunities during COVID-19. Improvements in support, fit, evidence, usability, and capacity were linked to enhanced knowledge and capacity of the regional school health coordinator. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: The initial misalignment between intervention and context highlights the importance of addressing contextual barriers in resource-limited schools to effectively promote PA equity. CONCLUSIONS: By conducting multiple assessments, schools can identify and address barriers to intervention fit, increasing readiness and the likelihood of successful implementation.","journal":"Journal of School Health","year":2025,"id":541710,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9389,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1128669,"name":"Michele W. Marenus","orcid":"0000-0001-9737-8920","position":1,"is_corresponding":false},{"id":933448,"name":"Amy Wassmann","orcid":null,"position":2,"is_corresponding":false},{"id":448695,"name":"Andria B. Eisman","orcid":"0000-0002-4100-6543","position":3,"is_corresponding":false},{"id":453108,"name":"Thomas Templin","orcid":"0000-0002-9602-8686","position":4,"is_corresponding":false},{"id":391039,"name":"Lexie R. Beemer","orcid":"0000-0002-1064-1798","position":5,"is_corresponding":false},{"id":720577,"name":"Tiwaloluwa A. Ajibewa","orcid":"0000-0001-5756-5975","position":6,"is_corresponding":false},{"id":1128668,"name":"Anna J. Schwartz","orcid":"0009-0005-8485-0612","position":7,"is_corresponding":false},{"id":1085797,"name":"Lynn Malinoff","orcid":"0000-0001-5468-838X","position":8,"is_corresponding":false},{"id":487988,"name":"Ronald F. Zernicke","orcid":"0000-0003-3898-9507","position":9,"is_corresponding":false},{"id":376928,"name":"Rebecca E. Hasson","orcid":"0000-0003-4526-2656","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T02:52:51.593043Z","pmid":"40623773","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":[]}