ArticleObesity (Silver Spring, Md.)2020
Can Electronic Health Records Validly Estimate the Effects of Health System Interventions Aimed at Controlling Body Weight?
Article in Obesity (Silver Spring, Md.), 2020. 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, 8 citations in OpenAlex.
- Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Comparison of weight loss data collected by research technicians versus electronic medical records: the PROPEL trial.International journal of obesity (2005) · 2022Trial
- Regional Electronic Health Records in Denmark: Research Potential for Clinical Epidemiology.Clinical epidemiology · 2026Review
- Real-world use and effectiveness of tirzepatide among individuals without type 2 diabetes: Results from the Optum Market Clarity database.Diabetes, obesity & metabolism · 2025Observational
- Improving weight loss and cardiometabolic risk in black patients with diabetes or pre-diabetes: Rationale and protocol for a digital medicine hybrid type 1 implementation trial.Contemporary clinical trials · 2025Article
- Four-year follow-up of weight loss maintenance using electronic medical record data: The PROPEL trial.Obesity science & practice · 2024Article
- Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.Obesity science & practice · 2023Article
- Obesity and its associated factors among older adults: MyHEBAT (Health science reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThis study aimed to compare weight collected at clinics and recorded in the electronic health record (EHR) with primary study-collected trial weights to assess the validity of using EHR data in future pragmatic weight loss or weight gain prevention trials.
methodsFor both the Track and Shape obesity intervention randomized trials, clinic EHR weight data were compared with primary trial weight data over the same time period. In analyzing the EHR weights, intervention effects were estimated on the primary outcome of weight (in kilograms) with EHR data, using linear mixed effects models.
resultsEHR weight measurements were higher on average and more variable than trial weight measurements. The mean difference and 95% CI were similar at all time points between the estimates using EHR and study-collected weights.
conclusionsThe results of this study can be used to help guide the planning of future pragmatic weight-related trials. This study provides evidence that body weight measurements abstracted from the EHR can provide valid, efficient, and cost-effective data to estimate treatment effects from randomized clinical weight loss and weight management trials. However, care should be taken to properly understand the data-generating process and any mechanisms that may affect the validity of these estimates.
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.