ArticleBMC medical informatics and decision making2025
Leveraging clinical decision support system tools for childhood overweight/obesity management.
Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Current state of electronic problems lists in primary care: a rapid scoping review.Family practice · 2026Article
- Prevalence and Predictors of Guideline Concordant Pediatric Obesity Care: A Narrative Review.Current obesity reports · 2026Review
Corrections and comments
- Update of
Authors and funding
19 authors.
Funding
Abstract
introductionConsistent with evidence-based care for pediatric overweight (BMI between 85th to 94th percentile) and obesity (BMI ≥ 95th percentile), a clinical decision support system (CDSS) OurPractice Advisory (OPA) was designed and implemented in 18 pediatric primary care clinics to support documenting elevated body mass index (BMI) on electronic health record (EHR) problem lists and ordering comorbidity screening labs.
methodsFor those whom the OPA fired, we assessed the odds of problem list BMI documentation and comorbidity screening based on demographics and weight status and generated statistical process control charts to evaluate improvements in care processes.
resultsEHR data from 9,621 patients with overweight and obesity were collected from 2020 to 2023. Providers documented elevated BMI in the problem list for 44% of eligible encounters and performed comorbidity screening in 15% of eligible encounters. Providers were more likely to perform problem list BMI documentation for older children, non-Hispanic Black children, children with public insurance, and children with a higher BMI percentile. Providers were also more likely to perform comorbidity screening among the same groups. The mean percentage of patients with an elevated BMI diagnosis on their problem list increased from 9.2% to 64% and the mean percentage of patients who had comorbidity screening labs performed increased from 7.8% to 32%.
conclusionThe implementation of the CDSS intervention was associated with an increased likelihood of delivering evidence-based care processes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.