Mobile health technology evaluation: the mHealth evidence workshop. - Wikidata - awgldk - TriplyDB

Mobile health technology evaluation: the mHealth evidence workshop.

Mobile health technology evaluation: the mHealth evidence workshop.

http://www.wikidata.org/entity/Q37243145

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Using Ecological Momentary Assessment (EMA) to Assess Situation-Level Predictors of Alcohol Use and Alcohol-Related Consequences Background for Real-Time Monitoring and Intervention Related to Alcohol Use Behavioral contributions to the pathogenesis of type 2 diabetes Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting.News from the NIH: potential contributions of the behavioral and social sciences to the precision medicine initiative Engaging research participants to inform the ethical conduct of mobile imaging, pervasive sensing, and location tracking research The emerging field of mobile health Building a Mobile HIV Prevention App for Men Who Have Sex With Men: An Iterative and Community-Driven Process A Scalable Framework to Detect Personal Health Mentions on Twitter Finding a depression app: a review and content analysis of the depression app marketplace Demystifying theory and its use in improvement Variations in the Use of mHealth Tools: The VA Mobile Health Study Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders.Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review Patient-Centered Tablet Application for Improving Medication Adherence after a Drug-Eluting Stent.Transforming Scientific Inquiry: Tapping Into Digital Data by Building a Culture of Transparency and Consent.Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.The exposure assessment in current time study: implementation, feasibility, and acceptability of real-time data collection in a community cohort of illicit drug users.Strategies for mHealth research: lessons from 3 mobile intervention studies.Reliability and validity of daily self-monitoring by smartphone application for health-related quality-of-life, antiretroviral adherence, substance use, and sexual behaviors among people living with HIV.Practical considerations in the design and development of smartphone apps for behavior change.Predictors of Utilization of a Novel Smoking Cessation Smartphone App.Smartphone applications to support weight loss: current perspectives Experiences of African-American Women with Smartphone-Based Ecological Momentary Assessment.The Diabetic Retinopathy Screening Workflow: Potential for Smartphone Imaging.Mobile technology and the digitization of healthcare.Mobile Phone Interventions for the Secondary Prevention of Cardiovascular Disease Telemedicine and M-Health in Hypertension Management: Technologies, Applications and Clinical Evidence.Uptake and Usage of IntelliCare: A Publicly Available Suite of Mental Health and Well-Being Apps.Technology to assess and support self-management in serious mental illness.A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training.The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial.Rainer Gross Award Lecture 2016.Racial and ethnic minority enrollment in randomized clinical trials of behavioural weight loss utilizing technology: a systematic review.Mental Health Mobile Apps for Preadolescents and Adolescents: A Systematic Review.Smartphone Usage, Social Media Engagement, and Willingness to Participate in mHealth Weight Management Research Among African American Women.Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala.Federal efforts to define and advance telehealth--a work in progress.

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Mobile health technology evaluation: the mHealth evidence workshop.

http://www.wikidata.org/entity/Q37243145

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on August 2013

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Mobile health technology evaluation: the mHealth evidence workshop.

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Mobile health technology evaluation: the mHealth evidence workshop.

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Mobile health technology evaluation: the mHealth evidence workshop.

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Mobile health technology evaluation: the mHealth evidence workshop.

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prefLabel

Mobile health technology evaluation: the mHealth evidence workshop.

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Mobile health technology evaluation: the mHealth evidence workshop.

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J.AMEPRE.2013.03.017

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American Journal of Preventive Medicine

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Mobile health technology evaluation: the mHealth evidence workshop.

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Albert Shar

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Audie Atienza

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Charlene Quinn

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Donald Hedeker

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Kevin Patrick

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Misha Pavel

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R Craig Lefebvre

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Santosh Kumar

http://www.w3.org/2001/XMLSchema#string

Wendy J Nilsen

http://www.w3.org/2001/XMLSchema#string

William T Riley

http://www.w3.org/2001/XMLSchema#string

P2860

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An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Measures of physical activity using cell phones: validation using criterion methods

Quasi-experimental trial of diabetes Self-Management Automated and Real-Time Telephonic Support (SMARTSteps) in a Medicaid managed care plan: study protocol.

Upsurge in T-wave alternans and nonalternating repolarization instability precedes spontaneous initiation of ventricular tachyarrhythmias in humans.

Health behavior models in the age of mobile interventions: are our theories up to the task?

Informing sequential clinical decision-making through reinforcement learning: an empirical study.

Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Harnessing context sensing to develop a mobile intervention for depression.

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228-236

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scholarly article

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10.1016/J.AMEPRE.2013.03.017

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2

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45

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Richard L. Kravitz

Amy P. Abernethy

Donna Spruijt-Metz

Vladimir Shusterman

Dallas Swendeman

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2013-08-01T00:00:00Z

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250918464

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23867031

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3803146

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