Evidence map›Paper›PMID 41211006›Full record

ArticlemHealth2025

Translation and validation of the traditional Chinese Mobile App Rating Scale (MARS-TW) for evaluating mHealth apps.

Shih-Ting Chen, Yi-Ting Lu, Stoyan Stoyanov, Pei-Ching Liu, King-Jen Chang, I-Ching Hou

Abstract read
In one paragraph

Article in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shih-Ting ChenCollege of Nursing, National Yang Ming Chiao Tung University, Taipei.ORCID https://orcid.org/0009-0000-2007-8751
Yi-Ting LuCollege of Nursing, National Yang Ming Chiao Tung University, Taipei.
Stoyan StoyanovInstitute of Health & Biomedical Innovation, School of Psychology and Counselling, Queensland University of Technology (QUT), Brisbane, QLD, Australia.ORCID https://orcid.org/0000-0003-3399-3347
Pei-Ching LiuCollege of Nursing, National Yang Ming Chiao Tung University, Taipei.ORCID https://orcid.org/0000-0002-5068-1014
King-Jen ChangDepartment of Surgery, College of Medicine, National Taiwan University, Taipei.ORCID https://orcid.org/0000-0001-9811-3422
I-Ching HouCollege of Nursing, National Yang Ming Chiao Tung University, Taipei.ORCID https://orcid.org/0000-0003-0520-8946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) applications are widely used in Taiwan, yet their quality remains unregulated. The Mobile App Rating Scale (MARS) is a validated tool for assessing mHealth app quality, but a Traditional Chinese version has not been developed and validated. This study aimed to translate and validate the traditional Chinese version of MARS (MARS-TW) and assess its reliability and validity using a cross-cultural adaptation framework. Methods: A three-phase cross-sectional study was conducted: (I) conceptual and item equivalence were evaluated by three experts; (II) semantic equivalence was assessed through forward and backward translation; (III) operational, measurement, and functional equivalence were tested on 44 mHealth apps related to cancer care (CC) and hypertension self-management (HTM), rated independently by two reviewers. Results: The expert review confirmed conceptual and item equivalence. Semantic equivalence was achieved through iterative refinements. Reliability testing demonstrated good internal consistency (Cronbach's α ≥0.80) and inter-rater reliability [intraclass correlation coefficient (ICC) ≥0.76]. Convergent validity was supported by strong correlations within subscales [item-subscale (I-S) correlation >0.3, item-total (I-T) correlation >0.2], while divergent validity was acceptable (subscale correlations <0.70, P<0.05). Conclusions: MARS-TW is a reliable and valid tool for evaluating Traditional Chinese mHealth apps. Future research should explore its applicability across broader health-related app categories.

Indexed as

app quality evaluationMobile App Rating Scale (MARS)Mobile health applications (mHealth apps)reliability and validitytraditional Chinese adaptation

Identifiers

PMID41211006
PMCPMC12594015

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.