Evidence map›Paper›PMID 41603635›Full record

Trial reportThe Journal of cardiovascular nursing

Assessing Electronic Health Record-Derived Outcomes in a Pragmatic Weight Gain Prevention Trial: Effects, Variability, and Implications for Future Trials.

Hailey N Miller, John A Gallis, Sandy Askew, Ashauna Lee, Miriam B Berger, Melissa C Kay, Joseph R Egger, Gary G Bennett

Abstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hailey N MillerHailey N. Miller, PhD, Assistant Professor, School of Nursing, Johns Hopkins University, Baltimore, Maryland.
John A GallisJohn A. Gallis, ScM, Biostatisician, Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina. Duke Global Health Institute, Duke University, Durham, North Carolina.
Sandy AskewSandy Askew, MPH, Biostastician, Duke Global Health Institute, Duke University, Durham, North Carolina.
Ashauna LeeAshauna Lee, BA, Graduate Student, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Miriam B BergerMiriam B. Berger, MPH, Research Program Lead, Duke Global Health Institute, Duke University, Durham, North Carolina.
Melissa C KayMelissa C. Kay, PhD, MPH, RD, Assistant Professor, Department of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Joseph R EggerJoseph R. Egger, PhD, Associate Professor, Duke Global Health Institute, Duke University, Durham, North Carolina.
Gary G BennettGary G. Bennett, PhD, Professor, Duke Global Health Institute, Duke University, Durham, North Carolina. Department of Psychology and Neuroscience; Dean, Trinity College of Arts and Sciences, Duke University, Durham, North Carolina.

Funding

A Pragmatic Trial of a Digital Health Intervention to Prevent Weight Gain in Primary CareR18DK109518 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2016 to 2020
$3.3M
NIDDK NIH HHS R18 DK109518
6 · The paper itself

Abstract

backgroundElectronic health record (EHR) outcome ascertainment may introduce challenges if measurements are inconsistently or infrequently captured.

objectiveTo evaluate the effects of the "Balance" intervention on EHR-derived secondary/exploratory outcomes and assess outcome frequency, timing, and variability.

methodsBalance was a 2-arm, 12-month pragmatic randomized trial of a digital weight gain prevention intervention (N = 443). Cardiometabolic outcomes (eg, blood pressure, hemoglobin A1c, triglycerides, and total cholesterol) were extracted from the EHR and analyzed using linear mixed models.

resultsThe intervention arm (n = 223) had lower systolic (-3.4 mm Hg, 95% confidence interval [CI]: -6.7 to -0.2) and diastolic blood pressure (-2.4 mm Hg, 95% CI: -4.3 to -0.6) at 6 months. Effects attenuated by 12 and 24 months. Other outcomes showed no significant differences. Blood pressure was measured 11.9 times per participant, 4.2 months apart. Other outcomes were measured 12 to 17.4 months apart. Variability averaged 1.0 standardized units.

conclusionsTrials using EHR data should account for data variability and sparsity in trial planning, implementation, and analysis.

Indexed as

Electronic Health RecordsObesityWeight GainAdultBlood PressureDigital HealthFemaleHumansMaleMiddle Ageddata standardselectronic health recordpragmatic clinical trials

Identifiers

PMID41603635
PMCPMC13386549

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Registered trials

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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.