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Authors’ Reply: The Power of Collaboration in Facilitating Mobile Technology Adoption in Health Care

Authors’ Reply: The Power of Collaboration in Facilitating Mobile Technology Adoption in Health Care

We are responding on behalf of our author group to a letter to the editor [1] regarding our recent article titled “The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis” [2], published in the Journal of Medical Internet Research. We thank the letter’s authors for their interest in our article and the journal editor for providing us the opportunity to respond.

Huong Ly Tong, Severin Rakic, Hazzaa M Al-Hazzaa, Saleh A Alqahtani

J Med Internet Res 2024;26:e62891

The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis

The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis

A narrative synthesis was conducted of all included studies. A meta-analysis was conducted for RCTs in which the control group did not have a mobile technology component. This was because the study aimed to examine the effectiveness of mobile technologies on physical activity or sedentary behaviors compared with nonmobile interventions.

Huong Ly Tong, Aroub Alnasser, Najim Z Alshahrani, Rowaedh A Bawaked, Reem AlAhmed, Reem F Alsukait, Severin Rakic, Volkan Cetinkaya, Hazzaa M Al-Hazzaa, Saleh A Alqahtani

J Med Internet Res 2024;26:e53651

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis

A web-based app was developed using Node.js, an open-source, cross-platform, javascript runtime environment [11]. Express [12], a web-based framework for Node.js, which provides a set of tools for app development, was used to build the backend of the app. A combination of Nielsen and Shneiderman heuristics of user interface design were used to generate the initial GUI [13].

Ahmed Abdulaal, Aatish Patel, Ahmed Al-Hindawi, Esmita Charani, Saleh A Alqahtani, Gary W Davies, Nabeela Mughal, Luke Stephen Prockter Moore

JMIR Form Res 2021;5(7):e27992

Arabic Translation of the Weight Self-Stigma Questionnaire: Instrument Validation Study of Factor Structure and Reliability

Arabic Translation of the Weight Self-Stigma Questionnaire: Instrument Validation Study of Factor Structure and Reliability

Widespread clinical uptake of such a questionnaire can inform psychotherapeutic treatment options for overweight and obese patients experiencing psychological stressors from weight self-stigma, which impacts overall patient well-being. Obese patients who receive appropriate psychological treatment tend to lose weight and exhibit a reduction in obesity-related comorbidities [11].

Nasser F F BinDhim, Nora A Althumiri, Mada H Basyouni, Omar T Sims, Noara Alhusseini, Saleh A Alqahtani

JMIR Form Res 2020;4(11):e24169