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Full-Text Articles in Health Information Technology
The Development Of A Mobile App-Focused Deduplication Strategy For The Apple Heart Study That Informs Recommendations For Future Digital Trials, Ariadna Garcia, Justin Lee, Vidhya Balasubramanian, Rebecca Gardner, Santosh E. Gummidipundi, Grace Hung, Todd Ferris, Lauren Cheung, Sumbul Desai, Christopher B. Granger, Mellanie True Hills, Peter Kowey, Divya Nag, John S. Rumsfeld, Andrea M. Russo, Jeffrey W. Stein, Nisha Talati, David Tsay, Kenneth W. Mahaffey, Marco V. Perez, Mintu P. Turakhia, Haley Hedlin, Manisha Desai
The Development Of A Mobile App-Focused Deduplication Strategy For The Apple Heart Study That Informs Recommendations For Future Digital Trials, Ariadna Garcia, Justin Lee, Vidhya Balasubramanian, Rebecca Gardner, Santosh E. Gummidipundi, Grace Hung, Todd Ferris, Lauren Cheung, Sumbul Desai, Christopher B. Granger, Mellanie True Hills, Peter Kowey, Divya Nag, John S. Rumsfeld, Andrea M. Russo, Jeffrey W. Stein, Nisha Talati, David Tsay, Kenneth W. Mahaffey, Marco V. Perez, Mintu P. Turakhia, Haley Hedlin, Manisha Desai
Department of Medicine Faculty Papers
An app-based clinical trial enrolment process can contribute to duplicated records, carrying data management implications. Our objective was to identify duplicated records in real time in the Apple Heart Study (AHS). We leveraged personal identifiable information (PII) to develop a dissimilarity score (DS) using the Damerau-Levenshtein distance. For computational efficiency, we focused on four types of records at the highest risk of duplication. We used the receiver operating curve (ROC) and resampling methods to derive and validate a decision rule to classify duplicated records. We identified 16,398 (4%) duplicated participants, resulting in 419,297 unique participants out of a total of …
Dyadic Digital Health Interventions: Their Rationale And Implementation, Kelly M. Shaffer, Lindsay S. Mayberry, Emily Georgia Salivar, Brian D. Doss, Amanda M. Lewis, Kimberly Canter
Dyadic Digital Health Interventions: Their Rationale And Implementation, Kelly M. Shaffer, Lindsay S. Mayberry, Emily Georgia Salivar, Brian D. Doss, Amanda M. Lewis, Kimberly Canter
Department of Pediatrics Faculty Papers
While most psychosocial and behavioral digital health interventions have been designed to be consumed by an individual, intervening at the level of a dyad – two interdependent individuals – can more comprehensively address the needs of both individuals and their relationship. The clinical utility of the dyadic digital health intervention approach, as well as the practical implementation of this design, will be demonstrated via three examples: eSCCIP, FAMS, and OurRelationship.