Evidence map›Paper›PMID 41340150›Full record

ArticleImplementation science : IS2025

Optimizing qualitative methods in implementation research: a resource for editors, reviewers, authors, and researchers to dispel ten common misperceptions about qualitative research methods.

Andrea L Nevedal, Christine P Kowalski, Erin P Finley, Gemmae M Fix, Alison B Hamilton, Christopher J Koenig

Abstract read
In one paragraph

Article in Implementation science : IS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  5. Artificial Intelligence Tools in Psychiatric Education: Innovating While Maintaining Human Connection.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
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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.

Andrea L NevedalVA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA. Andrea.Nevedal@va.gov.ORCID 0000-0003-3859-8493
Christine P KowalskiVA Center for Clinical Management Research (CCMR), VA Ann Arbor Healthcare System, 2215 Fuller Rd, Mail Stop 152, Ann Arbor, MI, 48105, USA.
Erin P FinleyVA Health Systems Research Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Gemmae M FixCenter for Health Optimization and Implementation Research (CHOIR), VA Bedford and Boston Healthcare Systems, Bedford/Boston, MA, USA.
Alison B HamiltonVA Health Systems Research Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Christopher J KoenigCommunication Studies College of Liberal and Creative Arts, San Francisco State University, San Francisco, CA, USA.

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUM1TR004538 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ROBERT A CLARK, Kenneth M Hargreaves · 2023 to 2026
$22.3M
Health Services Research and Development RCS 21-135NCATS NIH HHS UM1 TR004538Quality Enhancement Research Initiative PEC-17-002Quality Enhancement Research Initiative QIS 22-234Quality Enhancement Research Initiative QUE 20-012Quality Enhancement Research Initiative QUE 20-028
6 · The paper itself

Abstract

backgroundQualitative methods are central to implementation research. Qualitative research provides rich contextual insight into lived experiences of health and illness, healthcare systems and care delivery, and complex implementation processes. However, quantitative methods have historically been favored by editors and reviewers who serve as gatekeepers to scientific knowledge. Thus, we underscore that editors and reviewers must be familiar with the underlying principles and strengths of qualitative methods to avoid perpetuating inappropriate evaluation criteria that hinder qualitative research dissemination and funding opportunities. We aim to help authors and researchers provide sufficient details to dispel misperceptions and editors and reviewers to better evaluate studies using qualitative methods to maximize dissemination for high-impact implementation research.

methodsWe convened a panel of six researchers with extensive experience in: designing, conducting, and reporting on qualitative research in implementation science and other healthcare research; training and mentoring others on qualitative methods; and serving as journal editors and manuscript/grant peer reviewers. We reviewed existing literature, published and unpublished reviewer critiques of qualitative grants and manuscripts, and discussed challenges facing qualitative methodologists when disseminating findings. Over the course of one year, we identified candidate topics, ranked each by priority, and used a consensus-based process to finalize the inventory and develop written guidance for handling each topic.

resultsWe identified and dispelled 10 common misperceptions that limit the impact of qualitative methods in implementation research. Five misperceptions were associated with the application of inappropriate quantitative evaluation standards (subjectivity, sampling, generalizability, numbers/statistics, interrater reliability). Five misperceptions were associated with overly prescribed qualitative evaluation standards (saturation, member checking, coding, themes, qualitative data analysis software). For each misperception, we provide guidance on key considerations, responses to common critiques, and citations to appropriate literature.

conclusionsUnaddressed misperceptions can impede the contributions of qualitative methods in implementation research. We offer a resource for editors, reviewers, authors, and researchers to clarify misunderstandings and promote more nuanced and appropriate evaluation of qualitative methods in manuscripts and grant proposals. This article encourages a balanced assessment of the strengths of qualitative methods to enhance understandings of key problems in implementation research, and, ultimately, to strengthen the impact of qualitative findings.

Indexed as

Implementation ScienceQualitative ResearchResearch DesignHumansResearch PersonnelEvaluation standardsImplementation scienceMixed methodsQualitative analysisQualitative methodsRigorSubjectivity

Identifiers

PMID41340150
PMCPMC12797730

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.