Evidence map›Paper›PMID 35401997›Full record

ArticleDigital health

The good, the bad, and the poorly designed: The mobile app stores are not a user-friendly experience for health and medical purposes.

Timothy Aungst, Sheila Seed, Nurisha Gobin, Rosa Jung

Abstract read
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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. A shot in the dark: the impact of online visibility on the search for an effective sleep app.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Review
  7. Article
  8. The Internet, Apps, and the Anesthesiologist.Healthcare (Basel, Switzerland) · 2023
    Review
  9. Review
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

4 authors.

Timothy AungstPharmacy Practice, MCPHS University, Worcester, MA, USA.ORCID https://orcid.org/0000-0002-6914-0218
Sheila SeedPharmacy Practice, MCPHS University, Worcester, MA, USA.
Nurisha GobinPharmacy Practice, MCPHS University, Worcester, MA, USA.
Rosa JungPharmacy Practice, MCPHS University, Worcester, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of mobile health applications to help manage health conditions have grown in utilization within the past decade. However, the application stores (i.e. Google and Apple) are not designed in a user-friendly manner that allows consumers to identify high-quality health and medical-related mobile applications. Researchers have been interested in identifying applications that may be recommended for patient care but have found the ability to quantify and assess these applications to be difficult due to the current layout and organization of applications. We explain here in this brief communication our own research experience in the identification of mobile health applications on the application stores, along with trends noted in other mobile health research, and make suggestions on how the application store experience could be improved for both patients and health professionals. These include collaboration between developers, medical professionals and organizations, and technology companies to facilitate a better means of categorizing health applications for patient use, alongside other current endeavors being pursued such as application review organizations and the creation of digital health formulary databases.

Indexed as

Digital healthmHealthmobile app

Identifiers

PMID35401997
PMCPMC8990538

What OpenQuestion 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 OpenQuestion graph.