Brian K Bumbarger, Julia E Moore, Margaret E Crane
{"title":"Evidence-Based Implementation Support: Considering Motivation and Capacity Within the Ecosystem of Training and Technical Assistance.","authors":"Brian K Bumbarger, Julia E Moore, Margaret E Crane","doi":"10.1177/01632787241293457","DOIUrl":null,"url":null,"abstract":"<p><p>This invited commentary reflects on Wandersman and Scheier's (2024) call for a more evidence-based model of training and technical assistance (i.e. TTA or implementation support). Their clarion call prompts us to consider what steps need to be taken to refine and scale a solution that genuinely enhances the effectiveness of TTA through a re-imagined model of implementation support. We highlight eight priorities to re-imagine a more effective and efficient model of TTA that reflects best practice and simultaneously contributes to continuous, collective evidence-building. The eight priorities include: (1) an ecosystem of TTA connecting TTA research and practice; (2) TTA capacity building; (3) health equity, and equitable partnerships; (4) trust and relationships; (5) TTA evaluation; (6) continuous quality improvement; (7) implementation support mechanisms; and (8) cost-effective solutions. We advocate for an international, cross-disciplinary, applied agenda aimed at establishing a robust empirical foundation for TTA to foster a culture of continuous quality improvement and knowledge generation across government agencies and philanthropies that fund TTA Centers. We describe a potential scenario for how funders can initiate and support evidence-based TTA.</p>","PeriodicalId":12315,"journal":{"name":"Evaluation & the Health Professions","volume":" ","pages":"488-493"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation & the Health Professions","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/01632787241293457","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/31 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
This invited commentary reflects on Wandersman and Scheier's (2024) call for a more evidence-based model of training and technical assistance (i.e. TTA or implementation support). Their clarion call prompts us to consider what steps need to be taken to refine and scale a solution that genuinely enhances the effectiveness of TTA through a re-imagined model of implementation support. We highlight eight priorities to re-imagine a more effective and efficient model of TTA that reflects best practice and simultaneously contributes to continuous, collective evidence-building. The eight priorities include: (1) an ecosystem of TTA connecting TTA research and practice; (2) TTA capacity building; (3) health equity, and equitable partnerships; (4) trust and relationships; (5) TTA evaluation; (6) continuous quality improvement; (7) implementation support mechanisms; and (8) cost-effective solutions. We advocate for an international, cross-disciplinary, applied agenda aimed at establishing a robust empirical foundation for TTA to foster a culture of continuous quality improvement and knowledge generation across government agencies and philanthropies that fund TTA Centers. We describe a potential scenario for how funders can initiate and support evidence-based TTA.
期刊介绍:
Evaluation & the Health Professions is a peer-reviewed, quarterly journal that provides health-related professionals with state-of-the-art methodological, measurement, and statistical tools for conceptualizing the etiology of health promotion and problems, and developing, implementing, and evaluating health programs, teaching and training services, and products that pertain to a myriad of health dimensions. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 31 days