» Articles » PMID: 35752754

Making Implementation Science More Real

Overview
Publisher Biomed Central
Date 2022 Jun 25
PMID 35752754
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Learnings from Implementation Strategies to Improve Lipid Management.

Lan N, Chen R, Dwivedi G, Watts G, Nicholls S, Nelson A Curr Cardiol Rep. 2025; 27(1):9.

PMID: 39775142 PMC: 11711772. DOI: 10.1007/s11886-024-02174-8.


Innovative strategies and implementation science approaches for health delivery among migrants in humanitarian settings: A scoping review.

Reynolds C, Rha J, Lenselink A, Asokumar D, Zebib L, Rana G PLOS Glob Public Health. 2024; 4(12):e0003514.

PMID: 39621734 PMC: 11611092. DOI: 10.1371/journal.pgph.0003514.


American Society for Microbiology evidence-based laboratory medicine practice guidelines to reduce blood culture contamination rates: a systematic review and meta-analysis.

Sautter R, Parrott J, Nachamkin I, Diel C, Tom R, Bobenchik A Clin Microbiol Rev. 2024; 37(4):e0008724.

PMID: 39495314 PMC: 11629619. DOI: 10.1128/cmr.00087-24.


Changing hearts and minds: theorizing how, when, and under what conditions three social influence implementation strategies work.

Weiner B, Meza R, Klasnja P, Lengnick-Hall R, Buchanan G, Lyon A Front Health Serv. 2024; 4():1443955.

PMID: 39301122 PMC: 11410765. DOI: 10.3389/frhs.2024.1443955.


Implementation of a primary-tertiary shared care model to improve the detection of familial hypercholesterolaemia (FH): a mixed methods pre-post implementation study protocol.

Birkenhead K, Sullivan D, Trumble C, Spinks C, Srinivasan S, Partington A BMJ Open. 2024; 14(5):e082699.

PMID: 38692720 PMC: 11086381. DOI: 10.1136/bmjopen-2023-082699.


References
1.
Mukumbang F, van Belle S, Marchal B, van Wyk B . Realist evaluation of the antiretroviral treatment adherence club programme in selected primary healthcare facilities in the metropolitan area of Western Cape Province, South Africa: a study protocol. BMJ Open. 2016; 6(4):e009977. PMC: 4823437. DOI: 10.1136/bmjopen-2015-009977. View

2.
Ovretveit J . Understanding the conditions for improvement: research to discover which context influences affect improvement success. BMJ Qual Saf. 2011; 20 Suppl 1:i18-23. PMC: 3066695. DOI: 10.1136/bmjqs.2010.045955. View

3.
Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M . Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008; 337:a1655. PMC: 2769032. DOI: 10.1136/bmj.a1655. View

4.
Sarkies M, Francis-Auton E, Long J, Partington A, Pomare C, Nguyen H . Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments. BMJ Open. 2020; 10(12):e044049. PMC: 7757496. DOI: 10.1136/bmjopen-2020-044049. View

5.
Braithwaite J, Churruca K, Long J, Ellis L, Herkes J . When complexity science meets implementation science: a theoretical and empirical analysis of systems change. BMC Med. 2018; 16(1):63. PMC: 5925847. DOI: 10.1186/s12916-018-1057-z. View