Evidence mapPaperPMID 39221086Full record

ArticleDigital health

Mobile health technologies in the prevention and management of hypertension: A scoping review.

Abdulhammed Opeyemi Babatunde, Deborah Abisola Ogundijo, Abdul-Gafar Olayemi Afolayan, Olutola Vivian Awosiku, Zainab Opeyemi Aderohunmu, Mayowa Sefiu Oguntade, Uthman Hassan Alao, Abdulrahman Ololade Oseni, Abdulqudus Abimbola Akintola, Olanrewaju Adams Amusat

Abstract readScoping Review
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Abdulhammed Opeyemi BabatundeSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0002-3648-5340
Deborah Abisola OgundijoSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Abdul-Gafar Olayemi AfolayanSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0009-0001-3843-271X
Olutola Vivian AwosikuSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Zainab Opeyemi AderohunmuSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Mayowa Sefiu OguntadeSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Uthman Hassan AlaoSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Abdulrahman Ololade OseniSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.
Abdulqudus Abimbola AkintolaSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0003-0789-1216
Olanrewaju Adams AmusatSmileBuilders Initiative, Ibadan, Oyo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: An estimated one billion people globally are currently suffering from hypertension. Prevention and management of hypertension are suboptimal especially in low- and middle-income countries leading to increased complications and deaths. With increased mobile phone coverage globally, this study aims to review mobile health technologies used for the prevention and management of hypertension. Methods: We conducted a literature search on electronic databases using identified keywords involving "hypertension", "mobile health technology" and their synonyms. Snowballing technique was also used. Papers were screened at two levels by independent reviewers. The targets were studies published in peer-reviewed journals reporting mobile health interventions for hypertension prevention and management. Only primary research studies published in English from January 2017 to April 2024 were included. Google Forms were used to extract the data along with other characteristics, and selected articles were categorised into: mobile application, web-based solutions, and Short Message Service (SMS) and other offline solutions. Result: The search yielded 184 articles, and 44 studies were included in the review. Most (n = 26) were randomised control trials. Twenty-two studies (22) focused only on mobile applications solutions, 12 on SMS and other offline mHealth, 5 web-based solutions, and 5 combined more than one type of mobile health technology. The United States of America had the majority of studies (n = 17), with 6 studies from other American countries, 11 from Asia and nine from Europe, while only one from Africa. A total of 36 studies reported that mobile health technology significantly improved hypertension care through reduced blood pressure, improved adherence to follow-up visits and medications, and lifestyle changes. SMS and offline mHealth strategies have also demonstrated effectiveness in promoting self-management and reducing racial disparities in hypertension care. Conclusion: Mobile health technology has the potential to play a significant role in the prevention and management of hypertension. However, there is a need for mobile health solutions for hypertension prevention and management in African countries and other developing countries. Integrating mHealth into primary healthcare delivery would also go a long way in strengthening patient care and reducing the burden on healthcare systems.

Indexed as

Digital healtheHealthhealthcarehypertension

Identifiers

PMID39221086
PMCPMC11363045

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.