Evidence map›Paper›PMID 36446466›Full record

SynthesisBMJ open2022

Enablers and barriers to implementing obesity assessments in clinical practice: a rapid mixed-methods systematic review.

Evan Atlantis, Ritesh Chimoriya, Canaan Negash Seifu, Kath Peters, Gill Murphy, Bernadette Carr, David Lim, P Fahey

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  6. Review
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  10. Observational
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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

8 authors.

Evan AtlantisSchoolof Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia E.Atlantis@westernsydney.edu.au.ORCID 0000-0001-5877-6141
Ritesh ChimoriyaSchoolof Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.
Canaan Negash SeifuSchoolof Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0003-4331-8513
Kath PetersTranslational Health Research Institute, Western Sydney University, Campbelltown, New South Wales, Australia.
Gill MurphyTranslational Health Research Institute, Western Sydney University, Campbelltown, New South Wales, Australia.
Bernadette CarrTheUniversity of Sydney, Sydney, New South Wales, Australia.
David LimSchoolof Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0002-2837-0973
P FaheySchoolof Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0002-6351-9876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis systematic review aims to improve our knowledge of enablers and barriers to implementing obesity-related anthropometric assessments in clinical practice.

designA mixed-methods systematic review. DATA SOURCES: Medline, Embase and CINAHL to November 2021. ELIGIBILITY CRITERIA: Quantitative studies that reported patient factors associated with obesity assessments in clinical practice (general practice or primary care); and qualitative studies that reported views of healthcare professionals about enablers and barriers to their implementation. DATA EXTRACTION AND SYNTHESIS: We used random-effects meta-analysis to pool ratios for categorical predictors reported in ≥3 studies expressed as pooled risk ratio (RR) with 95% CI, applied inverse variance weights, and investigated statistical heterogeneity (I

resultsWe reviewed 22 quantitative (observational) and 3 qualitative studies published between 2004 and 2020. All had ≥50% of the quality items for risk of bias assessments. Obesity assessment in clinical practice was positively associated with patient factors: female sex (RR 1.28, 95% CI 1.10 to 1.50, I

conclusionsOur evidence synthesis revealed several important enablers and barriers to obesity assessments that should inform healthcare professionals and relevant stakeholders to encourage adherence to clinical practice guideline recommendations.

Indexed as

EthnicityObesityAnthropometryBody Mass IndexFemaleHumansOdds RatioPREVENTIVE MEDICINEPRIMARY CAREQUALITATIVE RESEARCHQuality in health care

Identifiers

PMID36446466
PMCPMC9710371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.