Evidence map›Paper›PMID 36460354›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2023

An Assessment of Weight Loss Management in Health System Primary Care Practices.

Krithika Suresh, Emileigh Willems, Johnny Williams, R Mark Gritz, L Miriam Dickinson, Leigh Perreault, Jodi Summers Holtrop

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Krithika SureshFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
Emileigh WillemsFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
Johnny WilliamsFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
R Mark GritzFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
L Miriam DickinsonFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
Leigh PerreaultFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).
Jodi Summers HoltropFrom Colorado School of Public Health Department of Biostatistics & Informatics, Aurora (KS, EW); University of Colorado Department of Family Medicine, Aurora (JW, LMD, JSH); University of Colorado Department Medicine-Division of Health Care Policy Research, Aurora (RMG); University of Colorado Adult & Child Center for Outcomes Research & Delivery Science (ACCORDS), Aurora (RMG, JSH); University of Colorado Department Medicine-Endocrinology/Metabolism/Diabetes, Aurora (LP).

Funding

PATHWEIGH: pragmatic weight management in primary careR18DK127003 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HOLTROP, JODI SUMMERS, PERREAULT, LEIGH · 2020 to 2024
$3.0M
NIDDK NIH HHS R18 DK127003
6 · The paper itself

Abstract

backgroundPrimary care practices can help patients address obesity through weight loss; however, there are many barriers to doing so. This study examined weight management services provided and factors associated with higher reported provision of services.

methodsA survey was given to practice members in 18 primary care practices in a Colorado-based health system. The survey assessed weight management services to determine the amount and type of weight loss assistance provided and other factors that may be important. We used descriptive statistics to summarize responses and linear regression with generalized estimating equations to assess the association between the practice and practice member characteristics and the amount of weight management services provided.

resultsThe overall response rate was 64% (254/399). On average, clinicians reported performing 73% of the services, and when grouped into minimal, basic, and extensive, the clinicians on average performed 87%, 68%, and 69% of them, respectively. In a multivariable model adjusted for demographics, factors associated with performing more services included perception of overall better practice culture and perception of weight management implementation climate.

conclusionsPractice-associated factors such as culture and implementation climate may be worth examining to understand how to implement weight management in primary care.

Indexed as

ObesityWeight LossColoradoHumansPrimary Health CareSurveys and QuestionnairesBody CompositionColoradoFamily MedicineLinear RegressionPrimary Health CareWeight Loss

Identifiers

PMID36460354
PMCPMC10482321

What OpenQuestion holds

Textmetadata
LicenceTDM
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.