Scientific accompaniment: a new model for integrating program development, evidence and evaluation.

Purpose: Calls for the development and dissemination of evidence-based programs to support children and families have been increasing for decades, but progress has been slow. This paper aims to argue that a singular focus on evaluation has limited the ways in which science and research is incorporat...

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Published in:Journal of Children's Services Vol. 17; no. 4; pp. 237 - 251
Main Authors: Lannen, Patricia, Jones, Lisa
Format: research tables/charts Journal Article
Published: Emerald Publishing Limited 2022
Online Access:View this record in EBSCOhost
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      dt: 2022
      vid: 17
      iid: 4
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      pub: Emerald Publishing Limited
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        160498474
        160498474
        160498474
        10.1108/JCS-09-2021-0037
        160498474
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        atl: Scientific accompaniment: a new model for integrating program development, evidence and evaluation.
      aug:
        au:
          Lannen, Patricia
          Jones, Lisa
        affil: Patricia Lannen is based at the Marie Meierhofer Children's Institute, University of Zurich, Zurich, Switzerland
      sug:
        subj:
          Program Development
          Program Evaluation
          Human
          Social Work Service
      ab: Purpose: Calls for the development and dissemination of evidence-based programs to support children and families have been increasing for decades, but progress has been slow. This paper aims to argue that a singular focus on evaluation has limited the ways in which science and research is incorporated into program development, and advocate instead for the use of a new concept, "scientific accompaniment," to expand and guide program development and testing. Design/methodology/approach: A heuristic is provided to guide research–practice teams in assessing the program's developmental stage and level of evidence. Findings: In an idealized pathway, scientific accompaniment begins early in program development, with ongoing input from both practitioners and researchers, resulting in programs that are both effective and scalable. The heuristic also provides guidance for how to "catch up" on evidence when program development and science utilization are out of sync. Originality/value: While implementation models provide ideas on improving the use of evidence-based practices, social service programs suffer from a significant lack of research and evaluation. Evaluation resources are typically not used by social service program developers and collaboration with researchers happens late in program development, if at all. There are few resources or models that encourage and guide the use of science and evaluation across program development.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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