Evidence map›Paper›PMID 35449503›Full record

ArticlemHealth2022

Apps on Google Play Store to assist in self-management of hypertension in Indian context: features analysis study.

Mahima Kaur, Harpreet Kaur, Surbhi Rathi, Manikyarao Ashwitha, Jenifer Joanna, Srinitya Reddy, Batul Idris, Persis Myrtle, Sarvani Kandamuru, Sara Fatima and 1 more

Abstract read
In one paragraph

Article in mHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

11 authors.

Mahima KaurFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Harpreet KaurFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Surbhi RathiFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Manikyarao AshwithaFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Jenifer JoannaFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Srinitya ReddyFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Batul IdrisFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Persis MyrtleFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Sarvani KandamuruFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Sara FatimaFoundation of Healthcare Technologies Society, New Delhi, Delhi, India.
Ashish JoshiCUNY Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A large number of individuals with hypertension are turning to the Internet and m-health technologies for assistance. There is a need to study the content of smartphone applications on hypertension. The study aimed to review and investigate the functional and analytical characteristics of apps related to the self-management of hypertension available on Google Play Store. Methods: Search was conducted in February 2021 in India using the Google Play Store database to identify currently available Android-based apps related to self-management of hypertension/high blood pressure (BP). Keywords used were: 'Hypertension', 'High blood pressure', 'DASH diet', 'Hypertension diet', and 'Blood pressure diet'. A total of 822 apps were screened based on the duplicates, inclusion, and exclusion criteria. A total of 210 were included for further analysis. Results: Eighteen percent (n=37) of the apps had an overall rating of 4.5 or above. About 41% of the apps belonged to the medical category and 41% of the apps were characterized in the health and fitness category. Feature of logging/recording the BP measurement was seen in 73% of the apps. In-app graphing to analyze BP trends was reported in 64 % of the included apps. A few apps focused on tracking medication (n=19), sodium intake (n=2), and calorie intake (n=4). Conclusions: The features were common across all the included apps and were focusing only on recording the BP, providing statistics and trends of BP, and providing educational information. App developers should now aim to provide other components of self-management techniques to help individuals tackle hypertension.

Indexed as

blood pressure (BP)DASH diethypertensionself-managementSmartphone apps

Identifiers

PMID35449503
PMCPMC9014236

What OpenQuestion holds

Textmetadata
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.