Evidence map›Paper›PMID 35467561›Full record

ArticleThe Journal of cardiovascular nursing

Implementation of an At-home Blood Pressure Measurement Protocol in a Hypertension Management Clinical Trial During the COVID-19 Pandemic.

Hailey N Miller, Miriam B Berger, Sandy Askew, Elizabeth Trefney, Crystal Tyson, Laura Svetkey, Gary G Bennett, Dori M Steinberg

Registry-linked trialAbstract readClinical Trial Protocol
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. It is linked to trial NCT07044375 (Going Places), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT07044375 nacompletednot on this map

Going Places: A Multi-level Intervention to Improve Youth Transportation Efficacy and Physical Activity

TypeinterventionalSponsorDuke UniversityRan2020 to 2026Enrolled97ConditionsPhysical Activity, Cardiometabolic Risk Factors, Cardiometabolic Health Indicators, Self-EfficacyArmsGoing Places
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

8 authors.

Hailey N Miller
Miriam B Berger
Sandy Askew
Elizabeth Trefney
Crystal Tyson
Laura Svetkey
Gary G Bennett
Dori M Steinberg

Funding

Using digital health to improve diet quality among adults at risk for cardiovasclar diseaseR01HL146768 · NHLBI · DUKE UNIVERSITY · PI BENNETT, GARY G, YANG, QING · 2019 to 2023
$4.1M
NHLBI NIH HHS R01 HL146768
6 · The paper itself

Abstract

backgroundThe Dietary Approaches to Stop Hypertension eating plan is an evidence-based treatment of hypertension; however, adherence to the Dietary Approaches to Stop Hypertension is low. To improve adherence to the Dietary Approaches to Stop Hypertension among adults with hypertension, we designed Nourish, a 2-arm, 12-month randomized controlled trial. The COVID-19 pandemic necessitated a change from in-person to remotely delivered visits, requiring substantial protocol modifications to measure blood pressure accurately and safely for secondary outcome data. PURPOSE: The purpose of this article is to describe the implementation of an at-home blood pressure measurement protocol for the Nourish trial.

conclusionOur investigator team and study staff developed and implemented a robust and feasible blood pressure measurement protocol to be executed within an at-home format. CLINICAL IMPLICATIONS: The described blood pressure measurement protocol provides a framework for use in future clinical trials and clinical settings in which a remote visit is preferred or required.

Indexed as

COVID-19HypertensionAdultBlood PressureHumansPandemicsRandomized Controlled Trials as TopicSARS-CoV-2

Identifiers

PMID35467561
PMCPMC9378583

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.