Evidence map›Paper›PMID 39525562›Full record

ArticleDigital health

'Assessing patients' perception of the potential utility of visual function home monitoring app among patients with diabetes in Saudi Arabia'.

Hanan Khalid Mofty, Marwan A Abouammoh, Hala A Al-Muqbil, Khaled S Al-Zahrani, Talhah M Al-Ghasham, Abdullah A Assiri, Ahmad T Al-Mnaizel, Hayat S Mushcab, Kholoud A Bokhary, Ruth E Hogg

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Hanan Khalid MoftySchool of Medicine, Dentistry, and Biomedical Science, Queen's University Belfast, Belfast, UK.ORCID https://orcid.org/0000-0002-3614-7990
Marwan A AbouammohDepartment of Ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Hala A Al-MuqbilOpthalmology Department, University Diabetes Centre, King Saud University Medical City, Riyadh, Saudi Arabia.
Khaled S Al-ZahraniOptometry Department, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia.
Talhah M Al-GhashamOptometry Division, The Northern Medical Tower, Northern Borders Health Cluster, Arar, Saudi Arabia.
Abdullah A AssiriOptometry Department, Vision World Centre, Abha, Saudi Arabia.
Ahmad T Al-MnaizelResearch Office, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Hayat S MushcabResearch Office, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
Kholoud A BokharyOptometry Department, College of Applied Medical Science, King Saud University, Riyadh, Saudi Arabia.
Ruth E HoggSchool of Medicine, Dentistry, and Biomedical Science, Queen's University Belfast, Belfast, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To determine the acceptability and identify potential concerns and barriers of using a hypothetical smartphone application (app) for home monitoring (HM) of visual function among patients with diabetes. Methods: Quantitative, cross-sectional study using a self-administered questionnaire. Patients diagnosed with diabetes aged between 20 and 70 years were included. The research was conducted across five regions in Saudi Arabia. The questions were adapted from a validated, published questionnaire and translated into Arabic. It focused on socio-demographic factors and barriers which associated with the acceptance of the hypothetical visual function HM app, using descriptive statistics. Results: A total of 240 patients with diabetes participated in this study. About half of the participants (40.4%) ranged between 40 and 59 years; 42.5% were male, and most of the participants (93.8%) lived within 2 h of their healthcare facility. The rejection to the use of a hypothetical HM app was associated with increased age ( Conclusion: Factors that altered patients' acceptance of the hypothetical app included their age, educational level, urbanicity, traveling distance, and telehealth experience. Therefore, careful consideration of acceptability and barriers is essential before implementing such an intervention.

Indexed as

barriersDiabetic retinopathyhome monitoringpatients’ acceptancevisual function

Identifiers

PMID39525562
PMCPMC11544648

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LicenceCC BY-NC-ND
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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.