60
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Adapting health interventions for local fit when scaling-up: a realist review protocol

      protocol

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Scaling-up is essential to ensure universal access of effective health interventions. Scaling-up is a complex process, which occurs across diverse systems and contexts with no one-size-fits-all approach. To date, little attention has been paid to the process of scaling-up in how to make adaptations for local fit. The aim of this research is to develop theory on what actions can be used to make adaptations to health interventions for local fit when scaling-up across diverse contexts that will have practical application for implementers involved in scaling-up.

          Methods and analysis

          Given the complexity of this subject, a realist review methodology was selected. Specifically, realist review emphasises an iterative, non-linear process, whereby the review is refined as it progresses. The identification of how the context may activate mechanisms to achieve outcomes is used to generate theories on what works for whom in what circumstances. This protocol will describe the first completed stage of development of an initial programme theory framework, which identified potential actions, contexts, mechanisms and outcomes that could be used to make adaptations when scaling-up. It will then outline the methods for future stages of the review which will focus on identifying case examples of scale-up and adaptation in practice. This realist review consists of six stages: (i) clarifying scope and development of a theoretical framework, (ii) developing a search strategy, (iii) selection and appraisal, (iv) data extraction, (v) data synthesis and analysis and (vi) further theory refinement with stakeholders.

          Ethics and dissemination

          This review will develop theory on how adaptations can be made when scaling-up. Findings will be disseminated in a peer-reviewed journal and through stakeholder engagement as part of the research process. Ethical approval has been received through Health Policy and Management/Centre for Global Health Research Ethics Committee of Trinity College Dublin.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Implementing evidence-based interventions in health care: application of the replicating effective programs framework

          Background We describe the use of a conceptual framework and implementation protocol to prepare effective health services interventions for implementation in community-based (i.e., non-academic-affiliated) settings. Methods The framework is based on the experiences of the U.S. Centers for Disease Control and Prevention (CDC) Replicating Effective Programs (REP) project, which has been at the forefront of developing systematic and effective strategies to prepare HIV interventions for dissemination. This article describes the REP framework, and how it can be applied to implement clinical and health services interventions in community-based organizations. Results REP consists of four phases: pre-conditions (e.g., identifying need, target population, and suitable intervention), pre-implementation (e.g., intervention packaging and community input), implementation (e.g., package dissemination, training, technical assistance, and evaluation), and maintenance and evolution (e.g., preparing the intervention for sustainability). Key components of REP, including intervention packaging, training, technical assistance, and fidelity assessment are crucial to the implementation of effective interventions in health care. Conclusion REP is a well-suited framework for implementing health care interventions, as it specifies steps needed to maximize fidelity while allowing opportunities for flexibility (i.e., local customizing) to maximize transferability. Strategies that foster the sustainability of REP as a tool to implement effective health care interventions need to be developed and tested.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The ADAPT-ITT model: a novel method of adapting evidence-based HIV Interventions.

            The Institute of Medicine (IOM) recommends the use of HIV prevention interventions with proven efficacy to avert new infections. Given the time and cost associated with the development, implementation and evaluation of efficacious HIV interventions, adapting existing evidence-based interventions (EBIs) to be appropriate for a myriad of at-risk populations may facilitate the efficient development of new EBIs. Unfortunately, few models of theoretic frameworks exist to guide the adaptation of EBIs. Over the past few years, the authors have systematically developed a framework for adapting HIV-related EBIs, known as the "ADAPT-ITT" model. The ADAPT-ITT model consists of 8 sequential phases that inform HIV prevention providers and researchers of a prescriptive method for adapting EBIs. The current article summarizes key components of the ADAPT-ITT model and illustrates the use of the model in several case studies.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The Cultural Adaptation of Prevention Interventions: Resolving Tensions Between Fidelity and Fit

                Bookmark

                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2019
                24 January 2019
                : 9
                : 1
                : e022084
                Affiliations
                [1 ] departmentCentre for Global Health , School of Medicine, Trinity College Dublin , Dublin, Ireland
                [2 ] departmentCentre for Global Health , School of Psychology, Trinity College , Dublin, Ireland
                [3 ] departmentHealth Behaviour Change Research Group, School of Psychology , National University of Ireland Galway , Galway, Ireland
                [4 ] departmentSchool of Nursing Midwifery and Health Systems , University College Dublin , Dublin, Ireland
                Author notes
                [Correspondence to ] Jessica Power; odowdje@ 123456tcd.ie
                Author information
                http://orcid.org/0000-0001-8015-2562
                http://orcid.org/0000-0003-4496-9254
                Article
                bmjopen-2018-022084
                10.1136/bmjopen-2018-022084
                6347947
                30679286
                334a2ecf-94c9-4ab0-b43b-af9df2f631bd
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 31 January 2018
                : 21 June 2018
                : 23 October 2018
                Funding
                Funded by: Health Research Board-Trials Methodology Research Network (HRB-TMRN);
                Categories
                Global Health
                Protocol
                1506
                1699
                Custom metadata
                unlocked

                Medicine
                scale up,scaling up,adaptation,fidelity,realist review,realist synthesis
                Medicine
                scale up, scaling up, adaptation, fidelity, realist review, realist synthesis

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content116

                Cited by30

                Most referenced authors741