Evidence map›Paper›PMID 39765977›Full record

ArticleHealthcare (Basel, Switzerland)2024

User-Centred Design and Development of a Smartphone Application (

Kishan Devraj, Lee Jones, Bethany Higgins, Peter B M Thomas, Mariya Moosajee

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Kishan DevrajInstitute of Ophthalmology, University College London, London EC1V 9EL, UK.ORCID 0009-0005-0115-003X
Lee JonesInstitute of Ophthalmology, University College London, London EC1V 9EL, UK.ORCID 0000-0002-8030-1211
Bethany HigginsInstitute of Ophthalmology, University College London, London EC1V 9EL, UK.ORCID 0000-0002-4530-6156
Peter B M ThomasInstitute of Ophthalmology, University College London, London EC1V 9EL, UK.ORCID 0000-0003-1681-7659
Mariya MoosajeeInstitute of Ophthalmology, University College London, London EC1V 9EL, UK.ORCID 0000-0003-1688-5360

Funding

Thomas Pocklington Trust FR-00486Wellcome Trust
6 · The paper itself

Abstract

backgroundVisual impairment can significantly impact an individual's daily activities. Patients require regular monitoring, typically occurring within hospital eye services. Capacity constraints have necessitated innovative solutions to improve patient care. Existing digital solutions rely on task-based digital home monitoring such as visual acuity testing. These require active involvement from patients and do not typically offer an indication of quality of life. Digital phenotyping refers to the use of personal digital devices to quantify passive behaviour for detecting clinically significant changes in vision and act as biomarkers for disease. Its uniqueness lies in the ability to detect changes passively. The objective was to co-design an accessible smartphone app (

methodsDevelopment of

resultsTwenty visually impaired participants (mean age 42 ± 19 years) were recruited to the pilot study. The average score on the SUS was 76.8 (±8.9), indicating good usability. There was a statistically significant moderate negative correlation between SUS scores and visual acuity in both the better (r = -0.494;

conclusions

Indexed as

digital healthdigital phenotypingophthalmologyremote sensingsoftware development

Identifiers

PMID39765977
PMCPMC11675816

What Socratic 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 Socratic graph.