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Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

***P Measurement equivalence by (A) i OS version and (B) Android version. Permutation testing revealed no evidence of a systematic lack of equivalence. No statistically significant differences were observed across operating system versions after correcting for multiple comparisons (all Padjusted>.05). Absolute and percent differences as well as effect sizes are provided in Tables 4 and 5. Brackets indicate the sample size.

Lito Kriara, Frank Dondelinger, Luca Capezzuto, Corrado Bernasconi, Florian Lipsmeier, Adriano Galati, Michael Lindemann

J Med Internet Res 2025;27:e63090

Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

Assessing the Cultural Fit of a Digital Sleep Intervention for Refugees in Germany: Qualitative Study

Frequency analyses of positive and negative feedback given by the refugees from (A) Ukraine and (B) other countries of origin participating in the qualitative study in Germany. The numbers of positive and negative feedback are illustrated separately for the adapted version and the nonadapted version of the digital intervention Sleep-e tested in the study. oth: other countries of origin; ukr: Ukraine. You can take a lot from it also. And you can learn easily also. To have the training..., it’s much easier.

Maja Blomenkamp, Andrea Kiesel, Harald Baumeister, Dirk Lehr, Josef Unterrainer, Lasse B Sander, Kerstin Spanhel

JMIR Form Res 2025;9:e65412

Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study

Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study

The COM-B factors and psychological needs of self-determination are presented in Textbox 1 [51,52] to provide a clearer definition. Taking into consideration the factors identified from behavioral theories (eg, opportunity), the ideation included both updating the concepts for each b Well-D exercise as well as the overall delivery and use of the b Well-D program itself.

Mark Hewko, Vincent Gagnon Shaigetz, Michael S Smith, Elicia Kohlenberg, Pooria Ahmadi, Maria Elena Hernandez Hernandez, Catherine Proulx, Anne Cabral, Melanie Segado, Trisha Chakrabarty, Nusrat Choudhury

JMIR Serious Games 2025;13:e59514

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Available percentage of patients’ data upon individually applying all 19 filters in different ethnic subgroups in (A) the Cedars-Sinai dataset, (B) the CUIMC dataset, and (C) the Ao U dataset. The filters are in descending order following the available percentage of the category, all. The points are connected to ease the visualization, but the filters are not cumulative. Stacked bar plots show the ethnicity distribution of the datasets in percentages.

Jose Miguel Acitores Cortina, Yasaman Fatapour, Kathleen LaRow Brown, Undina Gisladottir, Michael Zietz, Oliver John Bear Don't Walk IV, Danner Peter, Jacob S Berkowitz, Nadine A Friedrich, Sophia Kivelson, Aditi Kuchi, Hongyu Liu, Apoorva Srinivasan, Kevin K Tsang, Nicholas P Tatonetti

JMIR Med Inform 2025;13:e67591