Evaluating the Quality of a Clinical Mobile App for Physicians' CT Scan Ordering Using the MARS Rating Scale.

computed tomography mobile application physicians x-ray

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
29 Jun 2022
Historique:
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 6 7 2022
Statut: ppublish

Résumé

Given the lack of literature on the contributing factors to adopt mobile applications (apps) among physicians and the crucial role of the quality of the apps in their widespread use, the aim of this study is using the Mobile App Rating Scale (MARS) to evaluate the quality of the head CT scan appropriateness criteria app(HAC app). It was developed to assist medical interns and residents in ordering head CT scans. MARS is internationally recognized as an app rating tool and consists of four objective and subjective quality subscales quality subscale. Although the overall quality score of the HAC app was favorable (82 out of 100), it had low quality scores in the "information" (73.37 out of 100) and the "engagement" (73.48 out of 100) subscales. The HAC app appears to be functional to the physicians; however, it needs to improve its quality in terms of interactivity and effectiveness.

Identifiants

pubmed: 35773891
pii: SHTI220745
doi: 10.3233/SHTI220745
doi:

Types de publication

Journal Article

Langues

eng

Pagination

382-385

Auteurs

Zahra Meidani (Z)

Health Information Management Research Center, Kashan University of Medical Sciences (KAUMS), Kashan, Iran.

Aydin Omidvar (A)

Department of Neurosurgery, Kashan University of Medical Sciences, Kashan, Iran.

Fatemeh Asghari (F)

Health Information Management Research Center, Kashan University of Medical Sciences (KAUMS), Kashan, Iran.

Hossein Akbari (H)

Department of Epidemiology & Biostatistics, Kashan University of Medical Sciences, Kashan, Iran.

Reza Khajouei (R)

Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.

Ehsan Nabovati (E)

Health Information Management Research Center, Kashan University of Medical Sciences (KAUMS), Kashan, Iran.

Sahar Zare (S)

Health Information Management Research Center, Kashan University of Medical Sciences (KAUMS), Kashan, Iran.

Felix Holl (F)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
IBE, Ludwig Maximilian University of Munich, Munich, Germany.

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Classifications MeSH