Evidence map›Paper›PMID 30060185›Full record

ReviewInternational journal for quality in health care : journal of the International Society for Quality in Health Care2019

Translating evidence in complex systems: a comparative review of implementation and improvement frameworks.

Julie E Reed, Stuart Green, Cathy Howe

Abstract readComparative StudyReview
In one paragraph

Review in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. The Safe Environment for Every Kid Model in the Swedish Child Health Services: Adoption and Introduction in a Healthcare Region.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework.Journal of the American Medical Informatics Association : JAMIA · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The role of patients and carers in diffusing a health-care innovation: A case study of "My Medication Passport".Health expectations : an international journal of public participation in health care and health policy · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Julie E ReedNational Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, Chelsea and Westminster Hospital, Imperial College London, London, UK.
Stuart GreenNational Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, Chelsea and Westminster Hospital, Imperial College London, London, UK.
Cathy HoweNational Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, Chelsea and Westminster Hospital, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn increasing number of implementation and improvement frameworks seek to describe and explain how change is made in healthcare. This paper aims to explore how existing frameworks conceptualize the influence of complexity in translating evidence into practice in healthcare. DATA SOURCES: A database was interrogated using a search strategy to identify publications that present frameworks and models for implementation and improvement. STUDY SELECTION: Ten popular implementation and improvement frameworks were purposively selected. DATA EXTRACTION: Comparative analysis was conducted using an analytical framework derived from SHIFT-Evidence, a framework that conceptualizes complexity in implementation and improvement initiatives.

resultsCollectively the frameworks accounted for key concepts of translating evidence in complex systems: understanding the uniqueness of each setting; the interdependency of practices/processes and the need to respond to unpredictable events and emergent learning. The analysis highlighted heterogeneity of the frameworks in their focus on different aspects of complexity. Differences include the extent to which problems and solutions are investigated or assumed; whether endpoints are defined as the uptake of interventions or achievement of goals; and emphasis placed on fixed-term interventions versus continual improvement. None of the individual frameworks reviewed incorporated all the implications of complexity, as described by SHIFT-Evidence.

conclusionThis research identifies the differences in how implementation and improvement frameworks consider complexity, suggesting that SHIFT-Evidence offers a more comprehensive overview compared with the other frameworks. The similarity of concepts across the frameworks suggests growing consensus in the literature, with SHIFT-Evidence providing a conceptual bridge between the implementation and improvement fields.

Indexed as

Delivery of Health CareEvidence-Based PracticeHumansProgram DevelopmentQuality ImprovementQuality of Health Carecomplex systemsevidence translationframeworkimplementationquality improvement

Identifiers

PMID30060185
PMCPMC6464095

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.