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Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study

Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study

greater context of the general readiness to use stress prevention services.MethodsStudy Design and Data CollectionData for this cross-sectional 54-item survey applying a descriptive predictive research design were collected anonymously at the University of Hagen

Jennifer Apolinário-Hagen, Severin Hennemann, Lara Fritsche, Marie Drüge, Bernhard Breil

JMIR Ment Health 2019;6(11):e15373

Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study

Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study

We obtained a convenience sample (N=646) via the virtual laboratory and Moodle of the University of Hagen, Hagen, Germany, and social media websites (Facebook, Facebook Inc; and Xing, Xing AG). No ethical approval was required.

Jennifer Apolinário-Hagen, Mathias Harrer, Fanny Kählke, Lara Fritsche, Christel Salewski, David Daniel Ebert

JMIR Ment Health 2018;5(2):e10735

Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study

Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study

Apolinário-Hagen et al [42] performed a Web-based study in a convenience sample (N=646) examining general preferences with reference to internet-based therapy and found similar rates of interesting in psychotherapy by means of videoconference (22.8% compared

Georgios Paslakis, Josefine Fischer-Jacobs, Lars Pape, Mario Schiffer, Raoul Gertges, Uwe Tegtbur, Tanja Zimmermann, Mariel Nöhre, Martina de Zwaan

J Med Internet Res 2019;21(5):e12416

Standardizing Postpartum Discharge Instructions With an Educational Video: A Quality Improvement Project

Standardizing Postpartum Discharge Instructions With an Educational Video: A Quality Improvement Project

Ste 345Lansing, MI, 48912United States269 870 5969jenhoffman73@gmail.comBurkeLoriMD1KayCherylBSN, RN1HlavatyRachelBA1Thompson-WoodJenniferAPRN-BC, MSN1O'DellDanyelleMD11Sparrow HospitalObstetrics and GynecologyLansing, MIUnited StatesCorresponding Author: Jennifer

Jennifer Hoffman, Lori Burke, Cheryl Kay, Rachel Hlavaty, Jennifer Thompson-Wood, Danyelle O'Dell

iproc 2019;5(1):e15245

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

GroupHitachi, LtdTokyoJapan5Big Data LaboratoryHitachi America LtdSanta Clara, CAUnited StatesCorresponding Author: Neda Derakhshani snderakhshani@partners.orgJul-Dec20181709201842e118979820182982018©Sujay S Kakarmath, Neda Derakhshani, Sara B Golas, Jennifer

Sujay S Kakarmath, Neda Derakhshani, Sara B. Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

iproc 2018;4(2):e11897

Integration and Adoption Analysis of Digital Health Monitoring Devices: Reflections of a Pilot Project

Integration and Adoption Analysis of Digital Health Monitoring Devices: Reflections of a Pilot Project

Mount SinaiNew York, NYUnited StatesCorresponding Author: Christopher Park chris.park@icahn.mssm.eduJul-Dec20181709201842e118102820182982018©Christopher Park, Emmamuzo Otobo, Jason Rogers, Farah Fasihuddin, Shashank Garg, Sarthak Kakkar, Sean Pinney, Jennifer

Christopher Park, Emmamuzo Otobo, Jason Rogers, Farah Fasihuddin, Shashank Garg, Sarthak Kakkar, Sean Pinney, Jennifer Ullman, Chloe Yang, Zahin Roja, Kritika Singh, Vinod Kumar, Divya Madisetty, Ashish Atreja

iproc 2018;4(2):e11810