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Feasibility of a Proactive Text Messaging Intervention for Smokers in Community Health Centers: Pilot Study

Gina Kruse, Jennifer HK Kelley, Karen Chase, Nancy A Rigotti

JMIR Form Res 2018;2(1):e11

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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

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Digital Inequalities of Family Life Information Seeking and Family Well-Being Among Chinese Adults in Hong Kong: A Population Survey

Prevalence of Internet connection among people living in public housing estates (69.3%) and having low monthly household income (<HK$10,000, 38.9%) was much lower than private housing (82.1%) and income >HK$50,000 (98.2%) [3].

Man Ping Wang, Xin Wang, Kasisomayajula Viswanath, Alice Wan, Tai Hing Lam, Sophia S Chan

J Med Internet Res 2014;16(10):e227

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Do Search Engine Helpline Notices Aid in Preventing Suicide? Analysis of Archival Data

MethodsStudy RegionsThe United States (US), the United Kingdom (UK), Hong Kong (HK), and Taiwan (TW) were chosen as the study regions for 2 major reasons. First, both Google and Bing search engines are freely accessible in the 4 regions.

Qijin Cheng, Elad Yom-Tov

J Med Internet Res 2019;21(3):e12235

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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

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The Association Between Electronic Device Use During Family Time and Family Well-Being: Population-Based Cross-Sectional Study

Monthly household income was categorized as HK $9999 or less (US $1290 or less), HK $10,000-19,999 (US $1290-US $2580), HK $20,000-29,999 (US $2580-US $3870), HK $30,000-39,999 (US $3870-US $5161), HK $40,000 or more (US $5161 or more), and unstable [10,23]

Sheng Zhi Zhao, Ningyuan Guo, Man Ping Wang, Daniel Yee Tak Fong, Agnes Yuen Kwan Lai, Sophia Siu-Chee Chan, Tai Hing Lam, Daniel Sai Yin Ho

J Med Internet Res 2020;22(10):e20529

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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

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Sharing Family Life Information Through Video Calls and Other Information and Communication Technologies and the Association With Family Well-Being: Population-Based Survey

For instance, the prevalence of personal computers at home with Internet connection for people with a monthly household income less than HK $10,000 (US $1=HK $7.80) is much lower than those with more than HK $50,000 (35.6% vs 97.9%) [14].

Chen Shen, Man Ping Wang, Joanna TW Chu, Alice Wan, Kasisomayajula Viswanath, Sophia Siu Chee Chan, Tai Hing Lam

JMIR Ment Health 2017;4(4):e57

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Associations of Electronic Device Use Before and After Sleep With Psychological Distress Among Chinese Adults in Hong Kong: Cross-Sectional Study

Additionally, 54.55% (weighted 1833/3361) were female, 79.77% (2681/3361) were aged 25 to 64 years, 85.66% (2879/3361) had secondary or higher education, and 68.42% (2058/3008) had a monthly household income of HK $20,000 (US $2564; US $1=HK $7.80) or more

Jung Jae Lee, Man Ping Wang, Tzu Tsun Luk, Ningyuan Guo, Sophia Siu-Chee Chan, Tai Hing Lam

JMIR Ment Health 2020;7(6):e15403

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Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

States2Massachusetts General HospitalBoston, MAUnited States3Harvard Medical SchoolBoston, MAUnited StatesCorresponding Author: Sunetra Bane sunetrabane@gmail.comJul-Dec20181709201842e118959820182982018©Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer

Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer Felsted, Julie Brown, Stephen Agboola, Kamal Jethwani

iproc 2018;4(2):e11895

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