Evidence map›Paper›PMID 37467192›Full record

ArticleThe Journal of cardiovascular nursing

The Impact of an Electronic Best Practice Advisory on Patients' Physical Activity and Cardiovascular Risk Profile.

Margaret M McCarthy, Adam Szerencsy, Jason Fletcher, Leslie Taza-Rocano, Howard Weintraub, Stephanie Hopkins, Robert Applebaum, Arthur Schwartzbard, Devin Mann, Gail D'Eramo Melkus and 2 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

12 authors at 5 institutions in 2 countries.

Margaret M McCarthy
Adam Szerencsy
Jason Fletcher
Leslie Taza-Rocano
Howard Weintraub
Stephanie Hopkins
Robert Applebaum
Arthur Schwartzbard
Devin Mann
Gail D'Eramo Melkus
Allison Vorderstrasse
Stuart D Katz
NYU Langone Health · USNew York Academy of Medicine · USBiostatistical Consulting (United States) · USNew York College of Health Professions · USUniversity of Massachusetts Amherst · US

Funding

Physical Activity Intervention to Reduce CV RiskK23NR018888 · NINR · NEW YORK UNIVERSITY · PI MCCARTHY, MARGARET M · 2020 to 2022
$501k
NINR NIH HHS K23 NR018888
6 · The paper itself

Abstract

backgroundRegular physical activity (PA) is a component of cardiovascular health and is associated with a lower risk of cardiovascular disease (CVD). However, only about half of US adults achieved the current PA recommendations.

objectiveThe study purpose was to implement PA counseling using a clinical decision support tool in a preventive cardiology clinic and to assess changes in CVD risk factors in a sample of patients enrolled over 12 weeks of PA monitoring.

methodsThis intervention, piloted for 1 year, had 3 components embedded in the electronic health record: assessment of patients' PA, an electronic prompt for providers to counsel patients reporting low PA, and patient monitoring using a Fitbit. Cardiovascular disease risk factors included PA (self-report and Fitbit), body mass index, blood pressure, lipids, and cardiorespiratory fitness assessed with the 6-minute walk test. Depression and quality of life were also assessed. Paired t tests assessed changes in CVD risk.

resultsThe sample who enrolled in the remote patient monitoring (n = 59) were primarily female (51%), White adults (76%) with a mean age of 61.13 ± 11.6 years. Self-reported PA significantly improved over 12 weeks ( P = .005), but not Fitbit steps ( P = .07). There was a significant improvement in cardiorespiratory fitness (469 ± 108 vs 494 ± 132 m, P = .0034), and 23 participants (42%) improved at least 25 m, signifying a clinically meaningful improvement. Only 4 participants were lost to follow-up over 12 weeks of monitoring.

conclusionsPatients may need more frequent reminders to be active after an initial counseling session, perhaps getting automated messages based on their step counts syncing to their electronic health record.

Indexed as

Cardiovascular DiseasesExerciseHeart Disease Risk FactorsAgedCardiorespiratory FitnessCounselingDecision Support Systems, ClinicalElectronic Health RecordsFemaleHumansMaleMiddle AgedPractice Guidelines as Topic

Identifiers

PMID37467192
PMCPMC10787798
OpenAlexW4384819038

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.