Evidence map›Paper›PMID 41483257›Full record

ArticleJournal of medical systems2026

Development and Validation of a Tri-Language Questionnaire for Usability and Satisfaction of Mobile Health Applications (USHA) for Diabetes Mellitus Management.

Phei Ching Lim, Alicia Li Ying Lim, Yen Li Lim, Yen Hoe Ooi, Celine Symons, Nurul Nazihah Zamri, Shirley Wen Wen Ting, Yung-Wey Chong, Hadzliana Zainal

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Phei Ching LimSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Penang, 11800, Malaysia. pheiching@gmail.com.ORCID http://orcid.org/0000-0002-2594-9592
Alicia Li Ying LimFaculty of Medicine and Dentistry, Queen Mary University of London, Mile End, London, UK.
Yen Li LimClinical Research Centre, Hospital Pulau Pinang, Georgetown, Penang, Malaysia.
Yen Hoe OoiPharmacy Department, Hospital Pulau Pinang, Georgetown, Penang, Malaysia.
Celine SymonsPharmacy Department, Hospital Pulau Pinang, Georgetown, Penang, Malaysia.
Nurul Nazihah ZamriPharmacy Department, Hospital Pulau Pinang, Georgetown, Penang, Malaysia.
Shirley Wen Wen TingPharmacy Department, Hospital Pulau Pinang, Georgetown, Penang, Malaysia.
Yung-Wey ChongSchool of Computer Science, Universiti Sains Malaysia, Minden, Penang, Malaysia.
Hadzliana ZainalSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Penang, 11800, Malaysia. hadz@usm.my.ORCID http://orcid.org/0000-0001-6263-4824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing usability and satisfaction is vital to ensure the efficiency and optimal use of mobile health (mHealth) applications. Nevertheless, existing questionnaires revolve around computerized systems and lack validation for evaluating mHealth applications. We aimed to develop and validate a tri-language questionnaire to assess usability and satisfaction of mobile health applications (USHA). This study consisted of three phases: item development, translation, and validation. During the item development phase, a preliminary English version of the USHA questionnaire that comprised Likert-scale and demographic items was designed. Subsequently, forward-backward translation was performed to produce Malay and Chinese versions. Content validation was conducted with eight experts, followed by face validation with five diabetes mellitus patients. Reliability testing was conducted through test-retest analysis among diabetes mellitus patients. The initial tri-language USHA questionnaire consisted of 18 Likert-scale items and 8 demographic items. Following expert validation, five Likert-scale items and one demographic item were eliminated for lack of relevance, importance, or clarity, while four Likert-scale items were rephrased. During face validation, additional one demographic item was removed. The finalized questionnaire demonstrated high reliability, with a Cronbach's alpha of 0.956 and an intraclass correlation coefficient of 0.845. Consequently, the tri-language USHA questionnaire consisted of 13 Likert-scale items and six demographic items, is a valid and reliable instrument that enhances accessibility and enables assessment of the usability and satisfaction of interactive mHealth applications, especially for diabetes mellitus care across a broad range of users.

Indexed as

Diabetes MellitusMobile ApplicationsPatient SatisfactionTelemedicineAdultFemaleHumansLanguageMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesDevelopment and validationMHealthQuestionnaireSatisfactionUsability

Identifiers

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.