Cargando…

Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study

BACKGROUND: Specifying the determinants of using health apps has been an important research topic for health scholars as health apps have proliferated during the past decade. Socioeconomic status (SES) has been revealed as a significant determinant of using health apps, but the cognitive mechanisms...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Kwanho, Lee, Chul-Joo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889417/ https://www.ncbi.nlm.nih.gov/pubmed/33533724 http://dx.doi.org/10.2196/24539

Ejemplares similares

Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study
por: Brower, Jacob, et al.
Publicado: (2020)

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study
por: Kwon, Hongwook, et al.
Publicado: (2021)

Quantifying App Store Dynamics: Longitudinal Tracking of Mental Health Apps
por: Larsen, Mark Erik, et al.
Publicado: (2016)

Identifying App-Based Meditation Habits and the Associated Mental Health Benefits: Longitudinal Observational Study
por: Stecher, Chad, et al.
Publicado: (2021)

Time of Day Preferences and Daily Temporal Consistency for Predicting the Sustained Use of a Commercial Meditation App: Longitudinal Observational Study
por: Berardi, Vincent, et al.
Publicado: (2023)

Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy
por: Cho, Jaehee, et al.
Publicado: (2014)

Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis
por: Alkhalifah, Ali, et al.
Publicado: (2022)

Examining a Resilience Mental Health App in Adolescents: Acceptability and Feasibility Study
por: Elledge, Daniel K, et al.
Publicado: (2023)

Feasibility and Usability of the Job Adjustment Mobile App for Pregnant Women: Longitudinal Observational Study
por: Wada, Aya, et al.
Publicado: (2023)

Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study
por: Yamamoto, Keiichi, et al.
Publicado: (2020)

Users’ Adoption of Mental Health Apps: Examining the Impact of Information Cues
por: Huang, Hsiao-Ying, et al.
Publicado: (2017)

The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study
por: Vaghefi, Isaac, et al.
Publicado: (2019)

Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study
por: Jung, Se Young, et al.
Publicado: (2019)

Examining the Relationship Between the Use of a Mobile Peer-Support App and Self-Injury Outcomes: Longitudinal Mixed Methods Study
por: Kruzan, Kaylee Payne, et al.
Publicado: (2021)

Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study
por: Bell, Lauren, et al.
Publicado: (2020)

The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study
por: Lee, Edmund WJ, et al.
Publicado: (2020)

Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study
por: Muurling, Marijn, et al.
Publicado: (2022)

Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model
por: Lee, Jaegyeong, et al.
Publicado: (2022)

Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction
por: Chen, Juliana, et al.
Publicado: (2019)

Implementation of a Home-Based mHealth App Intervention Program With Human Mediation for Swallowing Tongue Pressure Strengthening Exercises in Older Adults: Longitudinal Observational Study
por: Kim, HyangHee, et al.
Publicado: (2020)

Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
por: Carrera, Berny, et al.
Publicado: (2020)

Use of the patientMpower App With Home-Based Spirometry to Monitor the Symptoms and Impact of Fibrotic Lung Conditions: Longitudinal Observational Study
por: Edwards, Colin, et al.
Publicado: (2020)

Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps
por: Pereira-Azevedo, Nuno, et al.
Publicado: (2016)

Mobile Health App for Tuberculosis Screening and Compliance to Undergo Chest X-ray Examination Among Presumptive Cases Detected by the App in Myanmar: Usability Study
por: Htet, Kyaw Ko Ko, et al.
Publicado: (2022)

Uptake and Utilization of the Management of Anticoagulation in the Periprocedural Period App: Longitudinal Analysis
por: Spyropoulos, Alex C, et al.
Publicado: (2018)

Mobile Health App for Japanese Adult Patients With Asthma: Clinical Observational Study
por: Harada, Norihiro, et al.
Publicado: (2020)

Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies
por: Neves, Ana Luísa, et al.
Publicado: (2021)

An Information Retrieval Approach for Robust Prediction of Road Surface States
por: Park, Jae-Hyung, et al.
Publicado: (2017)

A Novel Score for mHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set
por: Elnakib, Shatha, et al.
Publicado: (2022)

Evaluating the Feasibility of Frequent Cognitive Assessment Using the Mezurio Smartphone App: Observational and Interview Study in Adults With Elevated Dementia Risk
por: Lancaster, Claire, et al.
Publicado: (2020)

The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study
por: Nevoret, Camille, et al.
Publicado: (2023)

Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study
por: Ezawa, Iony D, et al.
Publicado: (2023)

The Longitudinal Impact of Social Media Use on UK Adolescents' Mental Health: Longitudinal Observational Study
por: Plackett, Ruth, et al.
Publicado: (2023)

Clinical Feasibility of Monitoring Resting Heart Rate Using a Wearable Activity Tracker in Patients With Thyrotoxicosis: Prospective Longitudinal Observational Study
por: Lee, Jie-Eun, et al.
Publicado: (2018)

mHealthApps: A Repository and Database of Mobile Health Apps
por: Xu, Wenlong, et al.
Publicado: (2015)

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews
por: Stawarz, Katarzyna, et al.
Publicado: (2018)

The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study
por: Kriventsov, Stan, et al.
Publicado: (2020)

Performance Improvement Effect of Asphalt Binder Using Pyrolysis Carbon Black
por: Lee, Kwanho, et al.
Publicado: (2022)

A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study
por: MacLeod, Lucy, et al.
Publicado: (2021)

Next Place Prediction Based on Spatiotemporal Pattern Mining of Mobile Device Logs
por: Lee, Sungjun, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_qklpa0ddnda97krbgg3d34h85i