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Technological Adjuncts to Streamline Patient Recruitment, Informed Consent, and Data Management Processes in Clinical Research: Observational Study

Jodie Koh, Stacey Caron, Amber N Watters, Mahesh Vaidyanathan, David Melnick, Alyssa Santi, Kenneth Hudson, Catherine Arguelles, Priyanka Mathur, Mozziyar Etemadi

JMIR Form Res 2025;9:e58628

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Harnessing Generalizable Real-World Ophthalmic Big Data: Descriptive Analysis of the Bodhya Eye Consortium Model for Collaborative Research

Ishaana Sood, Shalinder Sabherwal, Umang Mathur, Elesh Jain, Madhu Bhadauria, Deepshikha Agrawal, Ashi Khurana, Vikas Mittal, Avinash Mahindrakar, Vishal Govindahari, Sucheta Kulkarni, Ken K Nischal

Online J Public Health Inform 2024;16:e53370

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Coach-Supported Versus Self-guided Digital Training Course for a Problem-solving Psychological Intervention for Nonspecialists: Protocol for a Pre-Post Nested Randomized Controlled Trial

The process of developing the KOPS measure is described in detail elsewhere (S Mathur et al., unpublished data). Parallel forms of the case vignette and quiz will be used at baseline and end line assessments (ie, respondents will be assessed on the same domains but with different cases and alternative question formulations at each time point). In each form, participants will be presented with a written case description followed by 5 session vignettes in a logical sequence.

Sonal Mathur, Helen A Weiss, Melissa Neuman, Andy P Field, Baptiste Leurent, Tejaswi Shetty, James E J, Pooja Nair, Rhea Mathews, Kanika Malik, Daniel Michelson, Vikram Patel

JMIR Res Protoc 2023;12:e41981

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Modification and Validation of an mHealth App Quality Assessment Methodology for International Use: Cross-sectional and eDelphi Studies

Fionn Woulfe, Kayode Philip Fadahunsi, Michael O'Grady, Griphin Baxter Chirambo, Mala Mawkin, Azeem Majeed, Simon Smith, Patrick Henn, John O'Donoghue

JMIR Form Res 2022;6(8):e36912

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US Parents’ Acceptance of Learning About Mindfulness Practices for Parents and Children: National Cross-sectional Survey

Mala Mathur, Bradley R Kerr, Jessica C Babal, Jens C Eickhoff, Ryan J Coller, Megan A Moreno

JMIR Pediatr Parent 2021;4(4):e30242

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Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review

Fionn Woulfe, Kayode Philip Fadahunsi, Simon Smith, Griphin Baxter Chirambo, Emma Larsson, Patrick Henn, Mala Mawkin, John O’ Donoghue

JMIR Mhealth Uhealth 2021;9(10):e28384

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Adolescent Health on Social Media and the Mentorship of Youth Investigators: Five Content Analysis Studies Conducted by Youth Investigators

This study was prepared by Anjali Mathur and mentor Bradley Kerr Adolescence is the stage between 11 and 21 years of age, and it is a critical period for the development of self-esteem [49]. Self-esteem is defined by how one positively or negatively views oneself, and low self-esteem is associated with depression, anxiety, and suicidal ideation [50-53]. In adolescence, self-esteem is especially vulnerable to protective or harmful influences [54].

Maggie Bushman, Shreya Godishala, Reese Hyzer, Joshua Jerisha, Anna Jolliff, Ethan Kaji, Bradley Kerr, Anjali Mathur, Owen Tsao