Evidence map›Paper›PMID 40387345›Full record

ReviewJournal of advanced nursing2026

Weight Bias Interventions for Healthcare Professionals: An Integrative Review.

Gregory S Marler, Melanie T Turk, Melissa Kalarchian, Marilyn H Oermann, Valerie K Sabol, Sean M Phelan

Abstract readReview
In one paragraph

Review in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors.

Gregory S MarlerSchool of Nursing, Duquesne University, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2893-9661
Melanie T TurkSchool of Nursing, Duquesne University, Pittsburgh, Pennsylvania, USA.
Melissa KalarchianSchool of Nursing, Duquesne University, Pittsburgh, Pennsylvania, USA.
Marilyn H OermannSchool of Nursing, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0002-4534-8962
Valerie K SabolSchool of Nursing, Duke University, Durham, North Carolina, USA.
Sean M PhelanSchool of Medicine, Mayo Clinic Alix, Rochester, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo describe interventions to mitigate weight bias among practicing healthcare providers and examine their effectiveness.

designAn integrative review.

methodsThe framework of Whittemore and Knafl (2005) was utilised to identify and synthesise studies of weight bias interventions. Covidence reference management software facilitated screening using predetermined eligibility criteria that is, published in peer-reviewed journals, reported in English, and described outcomes for weight bias mitigation interventions among healthcare providers with a professional practice licence. We evaluated study quality using Joanna Briggs Institute's Critical Appraisal Tools for qualitative and quantitative studies. DATA SOURCES: Five databases were searched (CINAHL, Embase, EBSCOhost, APA PsycINFO, and Scopus) in July 2024.

resultsSixteen articles met the inclusion criteria. Four themes emerged: (1) active learning lessens weight bias more than passive learning, (2) multicomponent approaches yield better outcomes, (3) healthcare providers are willing to change their practices, and (4) explicit attitudes and beliefs are more amenable to change than implicit ones. Four sub-themes within theme one included the use of in-person workgroups; films, computer-based, and podcast delivery; written modules; and physical characteristic modifications, such as the use of an adiposity empathy suit. Intervention designs using a theory-based, active learning approach with repeated sessions were most successful at decreasing negative weight-biased attitudes and beliefs.

conclusionsInterventions that effectively reduce weight bias among practicing healthcare providers vary, yet evidence suggests that weight bias mitigation is achievable. These interventions offer strategies to improve patient-centred care among patients living with obesity. IMPACT: Healthcare providers often display weight bias. This review synthesises information on effective interventions for reducing bias, which may limit the subsequent negative patient outcomes associated with it. REPORTING

methodThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses was the structure used for this paper. PATIENT OR PUBLIC CONTRIBUTION: There were no patient or public contributions.

Indexed as

Attitude of Health PersonnelHealth PersonnelWeight PrejudiceAdultFemaleHumansMaleMiddle Agedhealthcare providerinterventionsnursing weight biasobesityweight biasweight bias attitudesweight bias beliefsweight stigma

Identifiers

PMID40387345
PMCPMC12994666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.