ArticleImplementation science communications2024
A mixed-methods evaluation of organization and individual factors influencing provider intentions to use caregiver coaching in community-based early intervention.
Article in Implementation science communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Theory of Change of Caregiver Coaching for an Early Parent-Mediated Autism Intervention.Journal of autism and developmental disorders · 2026Article
- Sustaining Community Implementation of a Caregiver-Mediated Intervention- Learnings From the WHO-Caregiver Skills Training in India.Journal of autism and developmental disorders · 2025Article
- Adapting an early autism caregiver coaching intervention for telehealth delivery in low-resource settings: A South African study of the 'what' and the 'why'.Autism : the international journal of research and practice · 2025Article
- Characterizing Federally Mandated Early Intervention for Children with Social Communication Delays: A Mixed-Methods Analysis.Behavioral sciences (Basel, Switzerland) · 2025Article
- We Must Consider Infrastructure when Attempting to Scale up Autism EBIs: A Case Example from Early Intervention Systems.Administration and policy in mental health · 2024Article
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Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundMost psycho-social interventions contain multiple components. Practitioners often vary in their implementation of different intervention components. Caregiver coaching is a multicomponent intervention for young autistic children that is highly effective but poorly implemented in community-based early intervention (EI). Previous research has shown that EI providers' intentions, and the determinants of their intentions, to implement caregiver coaching vary across components. Organizational culture and climate likely influence these psychological determinants of intention by affecting beliefs that underlie attitudes, norms, and self-efficacy to implement an intervention. Research in this area is limited, which limits the development of theoretically driven, multilevel implementation strategies to support multi-component interventions. This mixed methods study evaluated the relationships among organizational leadership, culture and climate, attitudes, norms, self-efficacy, and EI providers' intentions to implement the components of caregiver coaching.
methodsWe surveyed 264 EI providers from 37 agencies regarding their intentions and determinants of intentions to use caregiver coaching. We also asked questions about the organizational culture, climate, and leadership in their agencies related to caregiver coaching. We used multilevel structural equation models to estimate associations among intentions, psychological determinants of intentions (attitudes, descriptive norms, injunctive norms, and self-efficacy), and organizational factors (implementation climate and leadership). We conducted qualitative interviews with 36 providers, stratified by strength of intentions to use coaching. We used mixed-methods analysis to gain an in-depth understanding of the organization and individual-level factors.
resultsThe associations among intentions, psychological determinants of intentions, and organizational factors varied across core components of caregiver coaching. Qualitative interviews elucidated how providers describe the importance of each component. For example, providers' attitudes toward coaching caregivers and their perceptions of caregivers' expectations for service were particularly salient themes related to their use of caregiver coaching.
conclusionResults highlight the importance of multi-level strategies that strategically target individual intervention components as well as organization-level and individual-level constructs. This approach holds promise for improving the implementation of complex, multicomponent, psychosocial interventions in community-based service systems.
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