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A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

However, these approaches addressed only the content and face validity of the CLIQ framework and not its applicability, reliability, and construct validity. Therefore, the aim of this study is to assess the applicability, internal consistency, and construct validity of the CLIQ framework. Clinical Information quality framework for digital health technologies. Stages of CLIQ framework Development.CLIQ: Clinical Information Quality.

Kayode Philip Fadahunsi, Petra A Wark, Nikolaos Mastellos, Ana Luisa Neves, Joseph Gallagher, Azeem Majeed, Josip Car

JMIR Med Inform 2025;13:e58125

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Therefore, it is clinically important to investigate the application and reliability of Theia3 D for these activities. While previous studies have validated Theia3 D for level walking, its reliability in assessing more complex movements in a simulated living environment remains unclear due to the increased variability and dynamic adaptations required for tasks such as stair and ramp walking.

Daiki Shimotori, Kenji Kato, Tatsuya Yoshimi, Izumi Kondo

JMIR Rehabil Assist Technol 2025;12:e66886

Translation, Cross-Cultural Adaptation, and Psychometric Validation of the Health Information Technology Usability Evaluation Scale in China: Instrument Validation Study

Translation, Cross-Cultural Adaptation, and Psychometric Validation of the Health Information Technology Usability Evaluation Scale in China: Instrument Validation Study

The questionnaire had satisfactory reliability and validity, with the scale-content validity index (S-CVI), Cronbach α coefficient, and split-half reliability of 0.97, 0.96, and 0.99, respectively [25]. Given its focus on users of medical apps, the questionnaire was only administered to older people.

Rongrong Guo, Ziling Zheng, Fangyu Yang, Ying Wu

J Med Internet Res 2025;27:e67948

The Norwegian Version of the Self-Efficacy in Clinical Performance Scale (SECP): Psychometric Validation Study

The Norwegian Version of the Self-Efficacy in Clinical Performance Scale (SECP): Psychometric Validation Study

Internal consistency was assessed by Cronbach α, Mc Donald ω, and composite reliability coefficients, and values of ≥0.7 were classified as satisfactory [29,30]. The SECP developers specified a 4-factor model of the SECP, as presented in Table 1 [19]. Discriminant validity was evaluated using the Fornell-Larcker criterion, where good discriminant validity is indicated when the square root of the average variance extracted (AVE) for each factor is greater than the correlations between factors [31].

Camilla Olaussen, Marko Stojiljkovic, Jaroslav Zlamal, Tone Nygaard Flølo, Andréa Aparecida Gonçalves Nes

JMIR Form Res 2025;9:e68173

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The Color of Drinking Survey Questionnaire for Measuring the Secondhand Impacts of High-Risk Drinking in College Settings: Validation Study

The higher the coefficient, the stronger the test-retest reliability [13]. κ values between 0.41 and 0.6 were considered to be of moderate reliability, between 0.61 and 0.8 as substantial reliability and between 0.81 and 1 very high reliability [19]. κ is influenced by the trait prevalence and basal rates. κ may be low even though there are high levels of agreement and even though individual ratings are accurate, thus we have also calculated the proportion of observed and expected agreement only by chance.

Agustina Marconi, Reonda Washington, Amanda Jovaag, Courtney Blomme, Ashley Knobeloch, Vilma Irazola, Carolina Muros Cortés, Laura Gutierrez, Natalia Elorriaga

Interact J Med Res 2025;14:e64720

Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study

Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study

Measurement reliability was evaluated using person separation indices with defined thresholds: 0.67-0.80 (fair), 0.81-0.90 (good), 0.91-0.94 (very good), and >0.94 (excellent) [33]. The strata were classified as follows: 2 (poor), 2-3 (fair), 3-4 (good), 4-5 (very good), and >5 (magnificent). To confirm model fit, we ran repeated Rasch analyses, modifying items to create new scales and assessing person reliability, separation indices, and scale-to-sample targeting.

Qin Ye, Wei Wang, Xuan Zeng, Yuxian Kuang, Bingbing Geng, Song Zhou, Ning Liu

J Med Internet Res 2025;27:e64591

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

The objective of this study was to explore the acceptability and technical reliability of 2 wearable sensors that are commonly used by people with PD. This study is reported in line with the CROSS checklist (Consensus-Based Checklist for Reporting of Survey Studies) [12] (Table S1 in Multimedia Appendix 1).

Tasmin Alanna Rookes, Amit Batla, Megan Armstrong, Gareth Ambler, Kate Walters, Anette Schrag

JMIR Form Res 2025;9:e63704

Customizing Computerized Adaptive Test Stopping Rules for Clinical Settings Using the Negative Affect Subdomain of the NIH Toolbox Emotion Battery: Simulation Study

Customizing Computerized Adaptive Test Stopping Rules for Clinical Settings Using the Negative Affect Subdomain of the NIH Toolbox Emotion Battery: Simulation Study

The second goal of this study was to alter stopping rules to improve reliability and, more specifically, to achieve clinically relevant reliability (eg, reliability ≥0.95). This is especially important today as the NIH Toolbox is increasingly being used with clinical populations and in clinical settings, even though it was developed specifically for use in research.

Saki Amagai, Aaron J Kaat, Rina S Fox, Emily H Ho, Sarah Pila, Michael A Kallen, Benjamin D Schalet, Cindy J Nowinski, Richard C Gershon

JMIR Form Res 2025;9:e60215

Wrist-Worn and Arm-Worn Wearables for Monitoring Heart Rate During Sedentary and Light-to-Vigorous Physical Activities: Device Validation Study

Wrist-Worn and Arm-Worn Wearables for Monitoring Heart Rate During Sedentary and Light-to-Vigorous Physical Activities: Device Validation Study

Although previous validation studies lack consensus and have defined varying accuracy thresholds, this study classified a device as having very high accuracy if MAPE was Reliability was assessed using the within-subject coefficient of variation (WSCV), calculated based on the differences between the tested devices and the reference data, where lower values indicate greater consistency.

Theresa Schweizer, Rahel Gilgen-Ammann

JMIR Cardio 2025;9:e67110