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Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale

Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale

Motivated by this, our study endeavors to construct and validate a scale measuring digital health readiness consisting of subjective and objective questions. One of the core principles of Healthy People 2020 is to eliminate health disparities and achieve health equity to attain health and well-being [11]. As the health care sector becomes digitized, digital access, such as through mobile apps, is now recognized as a social determinant of health [12].

Hana Kim, Rebecca Schnall, Nagyeom Yoon, Seong-Joon Koh, Jisan Lee, Jae Hee Cheon

J Med Internet Res 2024;26:e58497

A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study

A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study

Therefore, we aimed to develop and externally validate a CT-based fracture prediction model by using images of vertebral bones and muscles by employing a deep learning method. This study may help identify patients having high risk of fractures among those who undergo opportunistic CT scans for screening or other purposes. This study was based on a retrospective longitudinal cohort study of 32,435 patients having abdominal CT images at Seoul National University Bundang Hospital between 2010 and 2019.

Sung Hye Kong, Wonwoo Cho, Sung Bae Park, Jaegul Choo, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin

J Med Internet Res 2024;26:e48535

A Digital Box and Block Test for Hand Dexterity Measurement: Instrument Validation Study

A Digital Box and Block Test for Hand Dexterity Measurement: Instrument Validation Study

The aim of this study was to validate the d BBT in comparison with the original BBT in healthy adults. In particular, this study aimed to evaluate: (1) the concurrent validity, (2) the test-retest reliability, and (3) the interrater reliability of the d BBT.

Eveline Prochaska, Elske Ammenwerth

JMIR Rehabil Assist Technol 2023;10:e50474

A Novel, Expert-Endorsed, Neurocognitive Digital Assessment Tool for Addictive Disorders: Development and Validation Study

A Novel, Expert-Endorsed, Neurocognitive Digital Assessment Tool for Addictive Disorders: Development and Validation Study

We sought to empirically validate the gamified Brain PAC tasks alongside the original laboratory paradigms, the recommended gold standard approach [17]. We hypothesized that Brain PAC task metrics (ie, subscores from each measure, such as Go Reaction Time on the SST) would not significantly differ from the original laboratory-based task metrics.

Rico S C Lee, Lucy Albertella, Erynn Christensen, Chao Suo, Rebecca A Segrave, Maja Brydevall, Rebecca Kirkham, Chang Liu, Leonardo F Fontenelle, Samuel R Chamberlain, Kristian Rotaru, Murat Yücel

J Med Internet Res 2023;25:e44414

A New Questionnaire to Assess Respiratory Symptoms (The Respiratory Symptom Experience Scale): Quantitative Psychometric Assessment and Validation Study

A New Questionnaire to Assess Respiratory Symptoms (The Respiratory Symptom Experience Scale): Quantitative Psychometric Assessment and Validation Study

Therefore, the primary objective of this research was to develop and validate a respiratory symptom questionnaire appropriate for a general population of adult current and former smokers, including those without COPD. The Respiratory Symptom Experience Scale (RSES) was initially developed from existing instruments, with expert input, and then refined through multiple waves of semistructured cognitive debriefing interviews.

Saul Shiffman, Stacey A McCaffrey, Michael J Hannon, Nicholas I Goldenson, Ryan A Black

JMIR Form Res 2023;7:e44036

The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study

The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study

This study aimed to (1) translate and culturally adapt the MARS in the Farsi language (MARS-Fa) and (2) validate the tool by examining its psychometric properties. This study followed a 2-step process, starting with the translation and cultural adaptation of the MARS in English to Farsi, as done in the validation studies mentioned above [34-41]. The second step involved a statistical evaluation of the MARS-Fa’s reliability and validity.

Saeed Barzegari, Ali Sharifi Kia, Marco Bardus, Stoyan R Stoyanov, Marjan GhaziSaeedi, Mouna Rafizadeh

JMIR Form Res 2022;6(12):e42225

Using QR Codes as a Form of eHealth to Promote Health Among Women in a Pandemic: Cross-sectional Study

Using QR Codes as a Form of eHealth to Promote Health Among Women in a Pandemic: Cross-sectional Study

The specific objectives of this study are to design a questionnaire with the least number of items possible to evaluate the usefulness of QR codes with information to promote health, to validate the questionnaire through construct validation and reliability tests, and to apply the validated questionnaire to evaluate the usefulness of the use of QR codes with information to promote health in women attending gynecology and obstetrics consultations.

Natalia Fischer-Suárez, David Lozano-Paniagua, Sonia García-Duarte, Gracia Castro-Luna, Tesifón Parrón-Carreño, Bruno José Nievas-Soriano

JMIR Hum Factors 2022;9(4):e41143