Evidence map›Paper›PMID 36100899›Full record

ReviewInternational journal for equity in health2022

Decolonising qualitative research with respectful, reciprocal, and responsible research practice: a narrative review of the application of Yarning method in qualitative Aboriginal and Torres Strait Islander health research.

Michelle Kennedy, Raglan Maddox, Kade Booth, Sian Maidment, Catherine Chamberlain, Dawn Bessarab

Abstract readReview
In one paragraph

Review in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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24 more citing papers are in PubMed but not listed here.

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

6 authors.

Michelle KennedyCollege of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia. michelle.kennedy11@newcastle.edu.au.
Raglan MaddoxNational Centre for Epidemiology and Public Health, The Australian National University, Canberra ACT, Australia.
Kade BoothCollege of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.
Sian MaidmentCollege of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.
Catherine ChamberlainSchool of Population and Global Health, Centre for Health Equity, University of Melbourne, Melbourne, VIC, Australia.
Dawn BessarabCentre for Aboriginal Medical and Dental Health, UWA Medical School, Crawley, WA, Australia.

Funding

National Health and Medical Research Council 1158670
6 · The paper itself

Abstract

backgroundIndigenous academics have advocated for the use and validity of Indigenous methodologies and methods to centre Indigenous ways of knowing, being and doing in research. Yarning is the most reported Indigenous method used in Aboriginal and Torres Strait Islander qualitative health research. Despite this, there has been no critical analysis of how Yarning methods are applied to research conduct and particularly how they privilege Indigenous peoples.

objectiveTo investigate how researchers are applying Yarning method to health research and examine the role of Aboriginal and Torres Strait Islander researchers in the Yarning process as reported in health publications.

designNarrative review of qualitative studies. DATA SOURCES: Lowitja Institute LitSearch January 2008 to December 2021 to access all literature reporting on Aboriginal and Torres Strait Islander health research in the PubMed database. A subset of extracted data was used for this review to focus on qualitative publications that reported using Yarning methods.

methodsThematic analysis was conducted using hybrid of inductive and deductive coding. Initial analysis involved independent coding by two authors, with checking by a third member. Once codes were developed and agreed, the remaining publications were coded and checked by a third team member.

resultsForty-six publications were included for review. Yarning was considered a culturally safe data collection process that privileges Indigenous knowledge systems. Details of the Yarning processes and team positioning were vague. Some publications offered a more comprehensive description of the research team, positioning and demonstrated reflexive practice. Training and experience in both qualitative and Indigenous methods were often not reported. Only 11 publications reported being Aboriginal and/or Torres Strait Islander led. Half the publications reported Aboriginal and Torres Strait Islander involvement in data collection, and 24 reported involvement in analysis. Details regarding the role and involvement of study reference or advisory groups were limited.

conclusionAboriginal and Torres Strait Islander people should be at the forefront of Indigenous research. While Yarning method has been identified as a legitimate research method to decolonising research practice, it must be followed and reported accurately. Researcher reflexivity and positioning, and Aboriginal and Torres Strait Islander ownership, stewardship and custodianship of data collected were significantly under detailed in the publications included in our review. Journals and other establishments should review their processes to ensure necessary details are reported in publications and engage Indigenous Editors and peer reviewers to uphold respectful, reciprocal, responsible and ethical research practice.

Indexed as

Australian Aboriginal and Torres Strait Islander PeoplesResearch DesignHumansQualitative ResearchRacial GroupsAboriginal healthCritical reviewIndigenous methodsQualitativeYarning method

Identifiers

PMID36100899
PMCPMC9472448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.