Evidence mapPaperPMID 40504604Full record

ArticleJournal of medical Internet research2025

The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study.

Khalid A Alahmari, Ravi Shankar Reddy

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Article in Journal of medical Internet research, 2025. 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

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Khalid A Alahmari *Program of Physical Therapy, Department of Medical Rehabilitation Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.ORCID https://orcid.org/0000-0002-6367-1317
Ravi Shankar Reddy *Program of Physical Therapy, Department of Medical Rehabilitation Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.ORCID https://orcid.org/0000-0001-6638-0585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical culture refers to institutional attitudes toward technology usage, innovation, teamwork, and evidence-based practices. Hospitals with strong innovation cultures promote mobile app use, while traditional settings may resist change, relying on conventional methods. Medical culture significantly influences the usage of technology in health care, including mobile health (mHealth) applications, which have the potential to enhance patient care in physical therapy settings. Understanding the role of medical culture and other factors such as app usability and workplace setting in shaping the usage and perceived effectiveness of mobile apps is essential for promoting their integration into clinical practice.

objectiveThe study aimed to assess how medical culture influences health care professionals' usage of mobile apps in clinical settings, particularly in physical therapy interventions, and to examine the relationship between the perceived effectiveness of mobile apps and cultural attitudes toward technology in health care teams.

methodsThis cross-sectional study was conducted between April 2023 and March 2024 at a tertiary care hospital specializing in rehabilitation and physical therapy. A total of 456 health care professionals, including physical therapists and rehabilitation specialists, were surveyed. Medical culture was measured using a composite scale, while mobile app usage and perceived effectiveness were assessed through structured questionnaires.

resultsMedical culture was strongly associated with mobile app usage frequency (r=0.54, P=.01), and multiple linear regression analysis showed that medical culture significantly predicted app usage (β=.45, P=.002). App usability, in terms of ease of use (β=.37, P=.008) and patient engagement features (β=.28, P=.02), also contributed to the perceived effectiveness of mobile apps. Hospitals showed higher usage and perceived effectiveness than private practices and rehabilitation centers. Years of experience (β=.32, P=.01) and app usage frequency (β=.45, P=.01) were additional significant predictors.

conclusionsThis study highlights the critical role of medical culture in promoting the usage and perceived effectiveness of mobile apps in physical therapy. Positive cultural attitudes toward technology, combined with user-friendly app designs, can enhance the integration of mHealth tools in clinical settings. These findings underscore the importance of fostering an innovative medical culture and supporting the development of usable, patient-centered applications to optimize patient care.

Indexed as

Mobile ApplicationsPhysical Therapy ModalitiesAdultAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicineapp usagemedical culturemobile health applicationsperceived effectivenessphysical therapy

Identifiers

PMID40504604
PMCPMC12203023

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LicenceCC BY
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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 Socratic graph.