Trial reportJournal of general internal medicine2019
A Toolbox Approach to Obesity Treatment in Urban Safety-Net Primary Care Clinics: a Pragmatic Clinical Trial.
Trial report in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01922934 (A Toolbox Approach to Obesity Treatment in Primary Care), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
A Toolbox Approach to Obesity Treatment in Primary Care
Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Randomized Comparative Effectiveness Trial of 2 Federally Recommended Strategies to Reduce Excess Body Fat in Overweight, Low-Income Patients: MyPlate.gov vs Calorie Counting.Annals of family medicineTrial
- Assessment of health management strategies and socioeconomic factors contributing to obesity in urban populations.Bioinformation · 2025Article
- Use cases of registry-based randomized controlled trials-A review of the registries' contributions and constraints.Clinical and translational science · 2024Review
- Effects of Pharmacotherapy for the Treatment of Obesity in an Urban, Safety-Net Population.Cureus · 2023Article
- The Joys and Challenges of Delivering Obesity Care: a Qualitative Study of US Primary Care Practices.Journal of general internal medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundThere is a need for new strategies to improve the success of obesity treatment within the primary care setting.
objectiveTo determine if patients offered low out-of-pocket cost weight management tools achieved more weight loss compared to usual care.
designTwelve-month pragmatic clinical weight loss trial with a registry-based comparator group performed in primary care clinics of an urban safety-net hospital.
participantsFrom a large clinical registry, we randomly selected 428 patients to have the opportunity to receive the intervention.
interventionsMedical weight management tools-partial meal replacements, recreation center vouchers, pharmacotherapy, commercial weight loss program vouchers, and a group behavioral weight loss program-for $5 or $10 monthly. Patients chose their tools, could switch tools, and could add a second tool at 6 months. MAIN MEASURES: The primary outcome was the proportion of intervention-eligible patients who achieved ≥ 5% weight loss. The main secondary outcome was the proportion of on-treatment patients who achieved ≥ 5% weight loss. KEY
resultsOverall, 71.3% (305 of 428) had available weight measurement data/PCP visit data to observe the primary outcome. At 12 months, 23.3% (71 of 305) of intervention-eligible participants and 15.7% (415 of 2640) of registry-based comparators had achieved 5% weight loss (p < 0.001). Of the on-treatment participants, 34.5% (39 of 113) achieved 5% weight loss. Mean percentage weight loss was - 3.15% ± 6.41% for on-treatment participants and - 0.30% ± 6.10% for comparators (p < 0.001). The initially preferred tools were meal replacements, pharmacotherapy, and recreation center passes.
conclusionsAccess to a variety of low out-of-pocket cost weight management tools within primary care resulted in ≥ 5% body weight loss in approximately one quarter of low-income patients with obesity.
trial registrationhttps://clinicaltrials.gov/ct2/show/NCT01922934.
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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.