Evidence map›Paper›PMID 29806998›Full record

ArticleThe American journal of medicine2018

Development and Preliminary Feasibility of an Automated Hypertension Self-Management System.

Taya Irizarry, Matthew Allen, Brian P Suffoletto, Julian Einhorn, Lora E Burke, Thomas W Kamarck, Bruce L Rollman, Matthew F Muldoon

Abstract read
In one paragraph

Article in The American journal of medicine, 2018. 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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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 at 2 institutions in 3 countries.

Taya IrizarryDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pa.
Matthew AllenUniversity of Pittsburgh School of Medicine, Pa.
Brian P SuffolettoDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pa.
Julian EinhornDepartment of Psychology, University of Pittsburgh School of Arts and Sciences, Pa.
Lora E BurkeDepartment of Health & Community Systems, University of Pittsburgh School of Nursing, Pa; Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pa.
Thomas W KamarckDepartment of Psychology, University of Pittsburgh School of Arts and Sciences, Pa.
Bruce L RollmanDivision of General Internal Medicine; Center for Behavioral Health and Smart Technology.
Matthew F MuldoonDivision of Cardiology, University of Pittsburgh School of Medicine, Pa; Heart and Vascular Institute Hypertension Center, UPMC Health System, Pittsburgh, Pa. Electronic address: mfm10@pitt.edu.
University of Pittsburgh · USGeneral Department of Preventive Medicine · VN

Funding

CARDIOVASCULAR BEHAVIORAL MEDICINE RESEARCH TRAININGT32HL007560 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Peter J Gianaros, REBECCA C THURSTON · 1985 to 2026
$11.3M
NHLBI NIH HHS T32 HL007560
6 · The paper itself

Abstract

backgroundUncontrolled hypertension constitutes a significant challenge throughout the world. Blood pressure measurement by patients is informative for both patients and providers but is rarely performed systematically, thereby reducing its utility. Mobile phones can be used to efficiently prompt individuals to measure blood pressure and automate data management while avoiding technology barriers to widespread adoption. Presented is the design and pilot test results of MyBP, an automated texting intervention to support blood pressure self-monitoring and patient self-management.

methodsThree sequential phases are described: (1) stakeholders' needs assessment, (2) preliminary design pilot (n = 10), and (3) a 6-week pilot of the redesigned comprehensive program with hypertensive patients (n = 43) recruited from 3 clinical sites (Emergency Department, Primary Care, Hypertension Center). Outcomes of interest included participant adherence, perceived importance of blood pressure monitoring, and healthy behavior change.

resultsMedian adherence to MyBP prompts over 6 weeks was 79% (72% emergency department, 84% primary care, and 96% hypertension center, H[2] = 5.56, P = .06). Adherence did not vary by age, sex, education, or baseline use of texting but was lowest among patients recruited from the emergency department (χ[2]

conclusionsAutomated mobile-phone-based blood pressure self-monitoring using MyBP is feasible, acceptable, and scalable, and may improve self-management and support clinical care.

Indexed as

Blood Pressure DeterminationSelf-ManagementSmartphoneText MessagingAdultAgedFeasibility StudiesFeedbackHealth BehaviorHealth PromotionHumansHypertensionMaleMiddle AgedPatient CompliancePatient Education as TopiceHealthHome blood pressure measurementHypertensionSelf-managementText messaging

Identifiers

PMID29806998
PMCPMC6586232
OpenAlexW2804558386

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.