Making implementation science more real.

Implementation science in healthcare aims to understand how to get evidence into practice. Once this is achieved in one setting, it becomes increasingly difficult to replicate elsewhere. The problem is often attributed to differences in context that influence how and whether implementation strategie...

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Publicado en:BMC Medical Research Methodology Vol. 22; no. 1; pp. 1 - 9
Autores principales: Sarkies, Mitchell N., Francis-Auton, Emilie, Long, Janet C., Pomare, Chiara, Hardwick, Rebecca, Braithwaite, Jeffrey
Formato: research Journal Article
Publicado: BioMed Central 6/25/2022
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Making implementation science more real.
      aug:
        au:
          Sarkies, Mitchell N.
          Francis-Auton, Emilie
          Long, Janet C.
          Pomare, Chiara
          Hardwick, Rebecca
          Braithwaite, Jeffrey
        affil: Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, 75 Talavera Road, 2109, Sydney, New South Wales, Australia
      sug:
        subj:
          Health Care Delivery
          New South Wales
          Australia
          Scales
          Arthritis Impact Measurement Scales
      ab: Implementation science in healthcare aims to understand how to get evidence into practice. Once this is achieved in one setting, it becomes increasingly difficult to replicate elsewhere. The problem is often attributed to differences in context that influence how and whether implementation strategies work. We argue that realist research paradigms provide a useful framework to express the effect of contextual factors within implementation strategy causal processes. Realist studies are theory-driven evaluations that focus on understanding how and why interventions work under different circumstances. They consider the interaction between contextual circumstances, theoretical mechanisms of change and the outcomes they produce, to arrive at explanations of conditional causality (i.e., what tends to work, for whom, under what circumstances). This Commentary provides example applications using preliminary findings from a large realist implementation study of system-wide value-based healthcare initiatives in New South Wales, Australia. If applied judiciously, realist implementation studies may represent a sound approach to help optimise delivery of the right care in the right setting and at the right time.
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    language: English
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