Evidence map›Paper›PMID 37342095›Full record

ReviewDigital health

Description of apps targeting stroke patients: A review of apps store.

Wenjing Cao, Azidah Abdul Kadir, Yuhui Wang, Juan Wang, Bolin Dai, Yilin Zheng, Pengjuan Mu, Chencheng Hu, Jianlu Chen, Luo Na and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Mobile health delivered physical activity after mild stroke or transient ischemic attack: Is it feasible and acceptable?International journal of stroke : official journal of the International Stroke Society · 2025
    Trial
  3. Article
  4. Review
  5. Article
  6. Technology for Young Adults with Stroke: An Australian Environmental Scan.International journal of environmental research and public health · 2024
    Review
  7. Article
  8. 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 at 4 institutions in 2 countries.

Wenjing CaoSchool of Health Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID https://orcid.org/0000-0002-3488-2430
Azidah Abdul KadirDepartment of Family Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.
Yuhui WangCentral South University, Changsha, China.
Juan WangGuangzhou University of Chinese Medicine, Guangzhou, China.
Bolin DaiXiang Nan University, Chenzhou, China.
Yilin ZhengXiang Nan University, Chenzhou, China.
Pengjuan MuXiang Nan University, Chenzhou, China.
Chencheng HuXiang Nan University, Chenzhou, China.
Jianlu ChenXiang Nan University, Chenzhou, China.
Luo NaXiang Nan University, Chenzhou, China.
Intan Idiana HassanSchool of Health Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID https://orcid.org/0000-0001-6907-8920
Xiangnan University · CNUniversiti Sains Malaysia · MYCentral South University · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a principal cause of mortality and disability worldwide, stroke imposes considerable burdens on society and effects on the lives of patients, families, and communities. Owing to their growing global popularity, health-related applications (apps) offer a promising approach to stroke management but show a knowledge gap regarding mobile apps for stroke survivors. Methods: This review was conducted across the Android and iOS app stores in September-December 2022 to identify and describe all apps targeting stroke survivors. Apps were included if they were designed for stroke management and contained at least one of the following components: medication taking, risk management, blood pressure management, and stroke rehabilitation. Apps were excluded if they were unrelated to health, not in Chinese or English, or the targeted users were healthcare professionals. The included apps were downloaded, and their functionalities were investigated. Results: The initial search yielded 402 apps, with 115 eligible after title and description screening. Some apps were later excluded due to duplicates, registration problems, or installation failures. In total, 83 apps were included for full review and evaluated by three independent reviewers. Educational information was the most common function (36.1%), followed by rehabilitation guidance (34.9%), communication with healthcare providers (HCPs), and others (28.9%). The majority of these apps (50.6%) had only one functionality. A minority had contributions from an HCP or patients. Conclusion: With the widespread accessibility and availability of smartphone apps across the mHealth landscape, an increasing number of apps targeting stroke survivors are being released. One of the most important findings is that the majority of the apps were not specifically geared toward older adults. Many of the currently available apps lack healthcare professionals' and patients' involvement in their development, and most offer limited functionality, thus requiring further attention to the development of customized apps.

Indexed as

mobile applicationsmartphoneStroketelemedicine

Identifiers

PMID37342095
PMCPMC10278410
OpenAlexW4380987532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.