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Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study

Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study

, as described in a study by Nahum-Shani et al (unpublished data, 2021), we conducted a larger MRT (N=68) of SARA with youth reporting past-month binge drinking or cannabis use to further refine the SARA app.

Lara N Coughlin, Inbal Nahum-Shani, Meredith L Philyaw-Kotov, Erin E Bonar, Mashfiqui Rabbi, Predrag Klasnja, Susan Murphy, Maureen A Walton

JMIR Mhealth Uhealth 2021;9(1):e24424

Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

SARA consists of 2 modules: the data collection module and the engagement module (Figure 1).Data Collection ModuleSARA’s data collection module deals with procuring self-reported data. SARA currently supports 2 types of self-reported data collection.

Mashfiqui Rabbi, Meredith Philyaw Kotov, Rebecca Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Predrag Klasnja, Maureen Walton, Susan Murphy

JMIR Res Protoc 2018;7(7):e166

Correction: Digital Health Coaching Programs Among Older Employees in Transition to Retirement: Systematic Literature Review

Correction: Digital Health Coaching Programs Among Older Employees in Transition to Retirement: Systematic Literature Review

ItalyThis has been corrected to:Model of Care and New Technologies, IRCCS INRCA-National Institute of Health and Science on Aging, Istituto di Ricovero e Cura a Carattere Scientifico Istituto Nazionale Ricovero e Cura per Anziani, Ancona, ItalyThe affiliation of Sara

Vera Stara, Sara Santini, Johannes Kropf, Barbara D'Amen

J Med Internet Res 2020;22(12):e25065

Participant Engagement with a Hyper-Personalized Activity Tracking Smartphone App

Participant Engagement with a Hyper-Personalized Activity Tracking Smartphone App

InnovationBoston, MAUnited States2Harvard Medical SchoolBoston, MAUnited States3Massachusetts General HospitalBoston, MAUnited StatesCorresponding Author: Amanda Centi acenti@partners.orgJul-Dec20181709201842e118768820182982018©Amanda Centi, Ramya Palacholla, Sara

Amanda Centi, Ramya Palacholla, Sara Golas, Odeta Dyrmishi, Stephen Agboola, Kamal Jethwani, Joseph Kvedar

iproc 2018;4(2):e11876

How Did Data Visualization Identify and Improve Response to an Enteric Fever Outbreak in Syria?

How Did Data Visualization Identify and Improve Response to an Enteric Fever Outbreak in Syria?

KhaderYousefAhmedRanyaCorresponding Author: Ranya Ahmed rahmed@sams-usa.netJan-Dec20182903201841e1054929320182932018©Ranya Ahmed.

Ranya Ahmed

iproc 2018;4(1):e10549

Outbreak Investigation of Malaria in Usta Mohammad, District Jaffarabad

Outbreak Investigation of Malaria in Usta Mohammad, District Jaffarabad

IPROCiprocIproceedings2369-6893JMIR PublicationsToronto, Canadav4i1e1063510.2196/10635AbstractAbstractOutbreak Investigation of Malaria in Usta Mohammad, District JaffarabadKhaderYousefAhmedWaheedCorresponding Author: Waheed Ahmed drlashari@yahoo.comJan-Dec20182903201841e1063529320182932018

Waheed Ahmed

iproc 2018;4(1):e10635

Use of Featforward Mobile Phone App Associated with Decreased Cardiometabolic Risk Factors in Patients with Chronic Conditions

Use of Featforward Mobile Phone App Associated with Decreased Cardiometabolic Risk Factors in Patients with Chronic Conditions

/0000-0002-7517-2291JethwaniKamalMD123http://orcid.org/0000-0002-0122-80021Partners Connected Health InnovationBoston, MAUnited States2Massachusetts General HospitalBoston, MAUnited States3Harvard Medical SchoolBoston, MAUnited StatesCorresponding Author: Sara

Sara B Golas, Ramya Palacholla, Amanda Centi, Odeta Dyrmishi, Stephen Agboola, Joseph Kvedar, Kamal Jethwani

iproc 2018;4(2):e11882

The Use and Effects of Electronic Health Tools for Patient Self-Monitoring and Reporting of Outcomes Following Medication Use: Systematic Review

The Use and Effects of Electronic Health Tools for Patient Self-Monitoring and Reporting of Outcomes Following Medication Use: Systematic Review

Ahmed et al [30] developed an asthma portal to view patient’s personal health information, monitor patients, and provide feedback on self-management strategies. Karhula et al [31] used a management system for patient self-monitoring of diabetes.

Karla Lancaster, Aseel Abuzour, Manmeet Khaira, Annalise Mathers, April Chan, Vivian Bui, Annie Lok, Lehana Thabane, Lisa Dolovich

J Med Internet Res 2018;20(12):e294

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

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

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