Trial reportAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Effectiveness of a Cloud-Based EHR Clinical Decision Support Program for Body Mass Index (BMI) Screening and Follow-up.
Trial report in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Screening, Diagnosis, Evaluation, and Staging of Obesity in Adults: Standards of Care in Overweight and Obesity-2026.BMJ open diabetes research & care · 2026Review
- Electronic health records tools for treating obesity among adult patients in primary care: A scoping review.Obesity pillars · 2025Article
- Centering Weight Management Clinical Decision Support in Primary Care on Patients With Obesity and Practitioners: A Proof-Of-Concept Study.Obesity science & practice · 2025Article
- Article
- A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Primary care clinicians' perspectives on clinical decision support to enhance outcomes of online obesity treatment in primary care: A qualitative formative evaluation.Journal of technology in behavioral science · 2021Article
- Amplifying Domain Expertise in Clinical Data Pipelines.JMIR medical informatics · 2020Article
- Screening, Diagnosis, Evaluation, and Staging of Obesity in Adults: Standards of Care in Overweight and Obesity-2026.Diabetes, obesity, and cardiometabolic CAREReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effectiveness of a clinical decision support (CDS) program encouraging clinicians to record patient's Body Mass Index (BMI) and document appropriate follow-up plans is evaluated. Test (4,987 practices, 33,445 clinicians) and control groups (881 practices, 6,316 clinicians) were selected using stratified random sampling. Three CDS alerts for BMI screening and follow-up based on evidence based clinical quality guidelines were displayed at the point of care in a cloud-based EHR. The effectiveness of the CDS program was measured over 4 months by tracking recorded BMI and documented follow-up plans. Over the program, BMI recording increased minimally and documentation of follow-up plans increased 5-fold (p=0.05) compared to the control group. The overweight test group patients (18- 64yo) gained less weight (p=0.06) than the control group and underweight patients gained more weight (p<0.01) during the program period. Outcome studies with longer follow-up periods are needed to further confirm positive outcomes.
Indexed as
Identifiers
29854140PMC5977575What 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.