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Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study

Stephanie Aboueid, Samantha Meyer, James R Wallace, Shreya Mahajan, Ashok Chaurasia

JMIR Public Health Surveill 2021;7(1):e22637

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Integrating Technology into Clinical Care to Improve Outcomes in Panic Disorder: Use of Safety Behaviors and Resulting Anxiety as Assessed by Smartphone-Based Experience Sampling Methods

NBA1SimonNaomi MPhD121Massachusetts General HospitalBoston, MAUnited States2New York UniversityNew York, NYUnited StatesCorresponding Author: Amanda W Baker awbaker1@partners.orgJul-Dec20181709201842e117882820182982018©Amanda W Baker, Olivia M Losiewicz, Samantha

Amanda W Baker, Olivia M. Losiewicz, Samantha N Hellberg, Naomi M Simon

iproc 2018;4(2):e11788

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Patient's Perspective on Using Mobile Technology as an Aid to Psychotherapy

Samantha Cristol

JMIR Ment Health 2018;5(4):e10015

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Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

For this purpose, various functional tools have been developed for evaluating patients diagnosed with stroke, such as the Fugl-Meyer Assessment (FMA), the Mini–Mental State Examination (MMSE) for body functions, the Modified Barthel Index (MBI) for activities

Minseok Seo, Myung-Jun Shin, Tae Sung Park, Jong-Hwan Park

JMIR Mhealth Uhealth 2020;8(9):e22208

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Therapeutic Alliance in Technology-Based Interventions for the Treatment of Depression: Systematic Review

All studies included only participants who had a clinical diagnosis of depression, except for the study by Meyer et al [33], which had a sample with 84% (137/163) of patients having depression.Table 2Sample sociodemographic characteristics.CharacteristicValuea

Eileen Wehmann, Moritz Köhnen, Martin Härter, Sarah Liebherz

J Med Internet Res 2020;22(6):e17195

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Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study

For functional scoring, the Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Wolf Motor Function Test (WMFT) were used.

Sang Hoon Chae, Yushin Kim, Kyoung-Soub Lee, Hyung-Soon Park

JMIR Mhealth Uhealth 2020;8(7):e17216

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Connectivity as a Predictor of Responsiveness to Transcranial Direct Current Stimulation in People with Stroke: Protocol for a Double-Blind Randomized Controlled Trial

Experimental session 4 is a follow-up MRI session and will occur within 5 days of the final tDCS treatment.Inclusion criteriaAged ≥18 years of ageAt least 6 months after the first ever stroke with motor impairmentMeasurable impairment of the upper limb (Fugl-Meyer

Ellana Welsby, Michael Ridding, Susan Hillier, Brenton Hordacre

JMIR Res Protoc 2018;7(10):e10848

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Telerehabilitation for Stroke Survivors: Systematic Review and Meta-Analysis

and OutcomesTwo independent reviewers used a preformatted Excel sheet to extract data for the prespecified outcomes, including (1) activities of daily living: Barthel Index and Berg Balance Scale; (2) motor function: Action Research Arm Test (ARAT), Fugl-Meyer

Huidi Tchero, Maturin Tabue-Teguo, Annie Lannuzel, Emmanuel Rusch

J Med Internet Res 2018;20(10):e10867

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Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases

Jochen Meyer, Andreas Hein

Med 2 0 2013;2(2):e7

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The Psychometric Properties of the Chinese eHealth Literacy Scale (C-eHEALS) in a Chinese Rural Population: Cross-Sectional Validation Study

In the exploratory factor analysis step, the Kaiser-Meyer-Olkin measure of sampling adequacy (recommended value>.6) and the Bartlett test of sphericity (should be statistically significant) [34] were used to test the factorability of C-eHEALS.

Zhihao Ma, Mei Wu

J Med Internet Res 2019;21(10):e15720

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