Evidence map›Paper›PMID 35263742›Full record

ArticleObesity facts2022

Rates, Variability, and Predictors of Screening for Obesity: Are Individuals with Spinal Cord Injury Being Overlooked?

Dan Eisenberg, Sherri L LaVela, Susan M Frayne, Rui Chen, Nicolas B Barreto, Justina Wu, Andrea L Nevedal, Kristen Davis, Katherine D Arnow, Alex H S Harris

Open access · goldAbstract read
In one paragraph

Article in Obesity facts, 2022. 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
0.7field-weighted citation impact, top 32% of its field
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, 5 citations in OpenAlex.

  1. Trial
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

10 authors at 3 institutions in 1 country.

Dan EisenbergCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Sherri L LaVelaCenter of Innovation for Complex Chronic Care, VA Edward Hines Jr., Hines, Illinois, USA.
Susan M FrayneCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Rui ChenStanford-Surgery Policy Improvement Research & Education Center, Stanford School of Medicine, Stanford, California, USA.
Nicolas B BarretoStanford-Surgery Policy Improvement Research & Education Center, Stanford School of Medicine, Stanford, California, USA.
Justina WuCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Andrea L NevedalCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Kristen DavisStanford-Surgery Policy Improvement Research & Education Center, Stanford School of Medicine, Stanford, California, USA.
Katherine D ArnowStanford-Surgery Policy Improvement Research & Education Center, Stanford School of Medicine, Stanford, California, USA.
Alex H S HarrisCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
VA Palo Alto Health Care System · USStanford Medicine · USNorthwestern University · US

Funding

Body Mass Index (BMI) Risk Zones and Variations in Obesity Detection in Veterans with Spinal Cord Injury (SCI)I01HX002432 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI EISENBERG, DAN · 2020 to 2022
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HSRD VA I01 HX002432
6 · The paper itself

Abstract

introductionIndividuals with spinal cord injury (SCI) are vulnerable to obesity. Annual obesity screening using body mass index (BMI) is the standard of care mandated by US Veterans Health Administration (VHA) guidelines. Our objective was to determine the rates, variability, and predictors of guideline-concordant annual screening for obesity, given potential challenges of height and weight measurements in individuals with SCI.

methodsThis is a cross-sectional retrospective study using US national VA databases. We identified all VHA patients with chronic SCI in the fiscal year (FY) 2019, their treating facility and frequency of recorded height and weight. We applied mixed-effects logistic regression models to assess associations between annual BMI screening and patient- and facility-level characteristics.

resultsOf 20,978 individuals with chronic SCI in VHA in FY19, guideline-concordant annual BMI screening was lacking in 37.9%. Accounting for facility-level factors (geographic region, SCI facility type, volume of patients with SCI treated at the facility), a mixed-effects logistic regression model demonstrated that lack of annual obesity screening was significantly associated with older patient age (p < 0.001) and fewer outpatient encounters (p < 0.001) but not other patient-level factors such as sex, race, level of injury, or rurality. The rate of obesity screening among different facilities within VHA varied widely from 11.1% to 75.7%.

conclusionA large proportion of persons with SCI receiving care in VHA do not receive guideline-concordant annual obesity screening, an especially acute problem in some facilities. Older patients with fewer outpatient encounters are more likely to be missed. To inform the design of interventions to improve identification and documentation of obesity, further study is needed to assess potential barriers to obesity screening in the population with SCI.

Indexed as

Spinal Cord InjuriesBody Mass IndexCross-Sectional StudiesHumansObesityRetrospective StudiesObesityScreeningSpinal cord injuryVeterans

Identifiers

PMID35263742
PMCPMC9209967
OpenAlexW4221071180

What OpenQuestion holds

Textmetadata
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.