ArticleThe journal of primary prevention2019
Redesigning Implementation Measurement for Monitoring and Quality Improvement in Community Delivery Settings.
Article in The journal of primary prevention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Artificial intelligence in implementation research: a scoping review of applications and recommendations.Translational behavioral medicine · 2026Article
- Implementation of an Arts at Home program for people living with dementia: Learnings from key stakeholders.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Article
- The Case for Assessing and Reporting on Facilitator Fidelity: Introducing the Fidelity of Implementation in Parenting Programs Guideline.Global implementation research and applications · 2024Article
- Barriers and enablers for the implementation of trauma-informed care in healthcare settings: a systematic review.Implementation science communications · 2023Review
- Don't Get Lost in Translation: Integrating Developmental and Implementation Sciences to Accelerate Real-World Impact on Children's Development, Health, and Wellbeing.Frontiers in public health · 2022Article
- Sustainment of a complex culturally competent care intervention for Hispanic living donor kidney transplantation: A longitudinal analysis of adaptations.Journal of clinical and translational science · 2022Article
- Implementation methodology from a social systems informatics and engineering perspective applied to a parenting training program.Families, systems & health : the journal of collaborative family healthcare · 2021Article
- Barriers and Facilitators in the Strengthening Families Program (SFP 10-14) Implementation Process in Northeast Brazil: A Retrospective Qualitative Study.International journal of environmental research and public health · 2020Article
- Measurement of sustainment of prevention programs and initiatives: the sustainment measurement system scale.Implementation science : IS · 2020Article
- Three Flavorings for a Soup to Cure what Ails Mental Health Services.Administration and policy in mental health · 2020Article
- Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.Administration and policy in mental health · 2020Article
- The Value Equation: Three complementary propositions for reconciling fidelity and adaptation in evidence-based practice implementation.BMC health services research · 2019Article
- A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care.Implementation research and practiceArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The field of prevention has established the potential to promote child adjustment across a wide array of outcomes. However, when evidence-based prevention programs have been delivered at scale in community settings, declines in implementation and outcomes have resulted. Maintaining high quality implementation is a critical challenge for the field. We describe steps towards the development of a practical system to monitor and support the high-quality implementation of evidence-based prevention programs in community settings. Research on the implementation of an evidence-based parenting program for divorcing families called the "New Beginnings Program" serves as an illustration of the promise of such a system. As a first step, we describe a multidimensional theoretical model of implementation that links aspects of program delivery with improvements in participant outcomes. We then describe research on the measurement of each of these implementation dimensions and test their relations to intended program outcomes. As a third step, we develop approaches to the assessment of these implementation constructs that are feasible to use in community settings and to establish their reliability and validity. We focus on the application of machine learning algorithms and web-based data collection systems to assess implementation and provide support for high quality delivery and positive outcomes. Examples are presented to demonstrate that valid and reliable measures can be collected using these methods. Finally, we envision how these measures can be used to develop an unobtrusive system to monitor implementation and provide feedback and support in real time to maintain high quality implementation and program outcomes.
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Registered trials
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