Evidence map›Paper›PMID 34294852›Full record

ReviewNPJ digital medicine2021

Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses.

Elaine C Khoong, Kristan Olazo, Natalie A Rivadeneira, Sneha Thatipelli, Jill Barr-Walker, Valy Fontil, Courtney R Lyles, Urmimala Sarkar

Open access · goldAbstract readReview
In one paragraph

Review in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 7 pooled it
16.0field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 7 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  8. Trial
  9. Implementation of Direct-to-Patient Mobile Teledermatology in VA.Journal of general internal medicine · 2024
    Trial
  10. Article
  11. An Apple-watch all day keeps your life astray-or does it?Scandinavian journal of public health · 2026
    Article
  12. Review
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  14. Article
  15. Article
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  20. Observational
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 1 country.

Elaine C KhoongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA. elaine.khoong@ucsf.edu.ORCID http://orcid.org/0000-0002-2514-3572
Kristan OlazoDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Natalie A RivadeneiraDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Sneha ThatipelliDepartment of Medicine, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0003-0308-4660
Jill Barr-WalkerZuckerberg San Francisco General Hospital Library, University of California San Francisco, San Francisco, CA, USA.
Valy FontilDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Courtney R LylesDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1111-8595
Urmimala SarkarDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
San Francisco General Hospital · USNorthwestern University · US

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
UCSF Career Development Program in Implementation Research in Heart and Lung DiseasesK12HL138046 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN, CATTAMANCHI, ADITHYA · 2017 to 2021
$2.9M
Bring it Down San Francisco: Harnessing cloud-based technology to improve hypertension management in a low-income underserved populationK23HL136899 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FONTIL, VALY · 2018 to 2022
$887k
Improving Survivorship Care for Diverse Cancer Patients Cared for in Safety-net SettingsK24CA212294 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2017 to 2021
$831k
NCATS NIH HHS KL2 TR001870NCI NIH HHS K24 CA212294NHLBI NIH HHS K12 HL138046NHLBI NIH HHS K23 HL136899U.S. Department of Health & Human Services | National Institutes of Health (NIH) K24CA212294U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K23HL136899
6 · The paper itself

Abstract

Mobile health (mHealth) technologies improve hypertension outcomes, but it is unknown if this benefit applies to all populations. This review aimed to describe the impact of mHealth interventions on blood pressure outcomes in populations with disparities in digital health use. We conducted a systematic search to identify studies with systolic blood pressure (SBP) outcomes located in urban settings in high-income countries that included a digital health disparity population, defined as mean age ≥65 years; lower educational attainment (≥60% ≤high school education); and/or racial/ethnic minority (<50% non-Hispanic White for US studies). Interventions were categorized using an established self-management taxonomy. We conducted a narrative synthesis; among randomized clinical trials (RCTs) with a six-month SBP outcome, we conducted random-effects meta-analyses. Twenty-nine articles (representing 25 studies) were included, of which 15 were RCTs. Fifteen studies used text messaging; twelve used mobile applications. Studies were included based on race/ethnicity (14), education (10), and/or age (6). Common intervention components were: lifestyle advice (20); provision of self-monitoring equipment (17); and training on digital device use (15). In the meta-analyses of seven RCTs, SBP reduction at 6-months in the intervention group (mean SBP difference = -4.10, 95% CI: [-6.38, -1.83]) was significant, but there was no significant difference in SBP change between the intervention and control groups (p = 0.48). The use of mHealth tools has shown promise for chronic disease management but few studies have included older, limited educational attainment, or minority populations. Additional robust studies with these populations are needed to determine what interventions work best for diverse hypertensive patients.

Identifiers

PMID34294852
PMCPMC8298448
OpenAlexW3186126182

What OpenQuestion 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 OpenQuestion graph.