ArticleCanadian family physician Medecin de famille canadien2015
Using EMR data to evaluate a physician-developed lifestyle plan for obese patients in primary care.
Article in Canadian family physician Medecin de famille canadien, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Understanding the impact of rural weight loss interventions: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019Pooled it
- Achieving quality primary care data: a description of the Canadian Primary Care Sentinel Surveillance Network data capture, extraction, and processing in Alberta.International journal of population data science · 2019Article
- Role of the family doctor in the management of adults with obesity: a scoping review.BMJ open · 2018Article
- Challenges in rural GP research.Canadian family physician Medecin de famille canadien · 2016Article
- Golden age of family medicine research.Canadian family physician Medecin de famille canadien · 2015Article
- Temporal Trends of Obesity Among Nebraska Adults: EMR Data Shows a More Rapid Increase Than Projected.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo use primary care electronic medical records (EMRs) to evaluate the effects of a lifestyle intervention delivered to obese patients compared with obese patients who did not receive the intervention.
designRetrospective cohort analysis using EMR data derived from the Canadian Primary Care Sentinel Surveillance Network.
settingA primary care clinic in rural Alberta.
participantsObese adult patients with at least 1 weight measurement in the time periods before and after the intervention, grouped by patients who received the intervention (n = 68) and those who did not (n = 365).
interventionPhysician-developed lifestyle plan to address obesity through a variety of health-promoting recommendations.
main outcome measuresMean change from before the intervention for weight, blood pressure, glycated hemoglobin A1c level, and body mass index measurements, compared between the control and intervention groups.
resultsNegligible weight change was observed in both groups, with the exception of older male patients (65 years and older) receiving the intervention, who lost significantly more weight than older men in the control group (a difference in mean reduction of 3.02 kg in favour of the intervention; P = .008). No overall group differences were seen in the secondary health outcomes, except for reductions in systolic and diastolic blood pressures in the intervention group (P = .002 and P = .04, respectively). Only the difference in systolic blood pressure remained significant after adjusting for covariates (P = .01).
conclusionProviding real-time feedback about clinical interventions is possible using EMR data. Although the lifestyle intervention was associated with significant weight loss for a specific group of patients only, with the use of EMR data the cohort can be followed over time and additional health outcomes can be monitored. There is potential for individual physicians and practices to assess and improve clinical processes and interventions in a rigorous, timely, and manageable way.
Indexed as
Identifiers
26167562PMC4430071W1895683115What 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.