Evidence map›Paper›PMID 35072647›Full record

ArticleJournal of medical Internet research2022

Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data.

Chinwe E Eze, Brady T West, Michael P Dorsch, Antoinette B Coe, Corey A Lester, Lorraine R Buis, Karen Farris

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Chinwe E EzeCollege of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5015-3724
Brady T WestInstitute for Social Research, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-0160-1388
Michael P DorschCollege of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-2910-1879
Antoinette B CoeCollege of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-5723-0443
Corey A LesterCollege of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-8774-793X
Lorraine R BuisDepartment of Family Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-5855-9972
Karen FarrisCollege of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-5636-3009
University of Michigan · US

Funding

A multifaceted adaptive mobile application to promote self-management and improve outcomes in heart failureR01AG062582 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DORSCH, MICHAEL · 2020 to 2023
$2.1M
Improving Safe Use of Direct Oral Anticoagulants: A Population Health ApproachR18HS026874 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS · 2020 to 2022
$1.5M
A user-center designed anticoagulation shared decision-making tool for stroke prevention in atrial fibrillationR21HS026322 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DORSCH, MICHAEL · 2019 to 2020
$296k
AHRQ HHS R18 HS026874AHRQ HHS R21 HS026322NIA NIH HHS R01 AG062582
6 · The paper itself

Abstract

backgroundUncontrolled hypertension leads to significant morbidity and mortality. The use of mobile health technology, such as smartphones, for remote blood pressure (BP) monitoring has improved BP control. An increase in BP control is more significant when patients can remotely communicate with their health care providers through technologies and receive feedback. Little is known about the predictors of remote BP monitoring among hypertensive populations.

objectiveThe objective of this study is to quantify the predictors of smartphone and tablet use in achieving health goals and communicating with health care providers via SMS text messaging among hypertensive patients in the United States.

methodsThis study was a cross-sectional, secondary analysis of the 2017 and 2018 Health Information National Trends Survey 5, cycles 1 and 2 data. A total of 3045 respondents answered "Yes" to the question "Has a doctor or other healthcare provider ever told you that you had high blood pressure or hypertension?", which defined the subpopulation used in this study. We applied the Health Information National Trends Survey full sample weight to calculate the population estimates and 50 replicate weights to calculate the SEs of the estimates. We used design-adjusted descriptive statistics to describe the characteristics of respondents who are hypertensive based on relevant survey items. Design-adjusted multivariable logistic regression models were fitted to estimate predictors of achieving health goals with the help of smartphone or tablet and sending or receiving an SMS text message to or from a health care provider in the last 12 months.

resultsAn estimated 36.9%, SE 0.9% (183,285,150/497,278,883) of the weighted adult population in the United States had hypertension. The mean age of the hypertensive population was 58.3 (SE 0.48) years. Electronic communication with the doctor or doctor's office through email or internet (odds ratio 2.93, 95% CI 1.85-4.63; P<.001) and having a wellness app (odds ratio 1.82, 95% CI 1.16-2.86; P=.02) were significant predictors of using SMS text message communication with a health care professional, adjusting for other demographic and technology-related variables. The odds of achieving health-related goals with the help of a tablet or smartphone declined significantly with older age (P<.001) and ownership of basic cellphones (P=.04). However, they increased significantly with being a woman (P=.045) or with being married (P=.03), having a wellness app (P<.001), using devices other than smartphones or tablets to monitor health (P=.008), making health treatment decisions (P=.048), and discussing with a provider (P=.02) with the help of a tablet or smartphone.

conclusionsIntervention measures accounting for age, gender, marital status, and the patient's technology-related health behaviors are required to increase smartphone and tablet use in self-care and SMS text message communication with health care providers.

Indexed as

Cell PhoneHypertensionAdultAgedCross-Sectional StudiesFemaleHumansInfantSmartphoneSurveys and QuestionnairesUnited Statesdigital healthHealth Information National Trends SurveyhypertensionmHealthmobile healthmobile phoneremote monitoringsmartphonestabletstelemonitoringtext messaging

Identifiers

PMID35072647
PMCPMC8822436
OpenAlexW4206941810

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.