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Evidence implementation among complementary medicine practitioners: a meta-summary

  • Matthew J. Leach ORCID logo EMAIL logo and Hope Foley ORCID logo
Published/Copyright: August 24, 2022

Abstract

Objectives

To explore the factors impacting evidence implementation in complementary medicine (CM) practice.

Content

MEDLINE and CINAHL were systematically searched for cross-sectional studies examining evidence implementation among CM practitioners. Qualitative data from eligible studies were collated and analysed using a meta-summary approach. Data were coded according to the five domains of the Consolidated Framework for Implementation Research (CFIR), and translated into barriers and enablers.

Summary

Qualitative data were available for 614 participants (from 16 disciplines) across 14 studies. Coding identified 34 themes, with most themes aligning with the Inner Setting (11 themes) and Characteristics of the Intervention (10 themes) domains of the CFIR. The most commonly referenced barriers to evidence implementation were: ‘Lack of supportive resources’ (Effect size [ES]=33.3%), ‘Research misalignment with profession and practice’ (ES=14.5%) and ‘Lack of access to knowledge and information’ (ES=10.5%). The most common enablers were: ‘Recognition of a need for change’ (ES=8.2%) and ‘Perceived adaptability of EBP to the profession’ (ES=7.8%).

Outlook

This research offers new insights into the challenges and opportunities to implementing evidence-based practices in the field of CM. The findings underline the complexity of the phenomenon, and the need for a nuanced, multi-faceted and multi-stakeholder approach to improving evidence implementation in CM.


Corresponding author: Matthew J. Leach, RN, BN, BN (Hons), ND, DipClinNutr, PhD, Associate Professor, National Centre for Naturopathic Medicine, Southern Cross University, Military Road, East Lismore, NSW, 2480, Australia, Phone: +61 407 111 561, E-mail:

Award Identifier / Grant number: NA

  1. Research funding: This project was supported by a Southern Cross University Accelerator Grant. The funder had no influence on the study design, data collection, data analysis, data interpretation, or manuscript preparation or submission.

  2. Author contributions: ML: Conceptualisation, Funding acquisition, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Visualisation, Writing – Original draft preparation, Writing – Review and editing. HF: Data curation, Formal analysis, Visualisation, Writing – Original draft preparation, Writing – Review and editing.

  3. Competing interests: None declared.

  4. Informed consent: Not applicable.

  5. Ethical approval: Not applicable.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/jcim-2022-0234).


Received: 2022-06-17
Accepted: 2022-07-17
Published Online: 2022-08-24

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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