Literature DB >> 20070162

An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members.

Wen-Yuan Jen1, Ming-Chien Hung.   

Abstract

In an aging society, the issue of increased medical costs troubles both government agencies and families with aging parents. Many elderly people require long-term care, and the medical and financial problems associated with long-term care worry their entire family. Mobile healthcare service (MHS) has been widely applied by medical practitioners and researchers for years. Unfortunately, the elderly often fear both the technology and the cost its use incurs; hence, they seldom actively adopt MHS without the prompting and support of other family members. This study highlights this issue of long-term healthcare for the elderly and extracts the factors affecting their family's intentions in adopting MHS. Based on the integration of the Theory of Planned Behavior and the Technology Acceptance Model, the factors associated with the family's intention of the aging people toward MHS are explored. Data were collected from 200 students in the "Job Master" track in a local "Executive Master of Business Administration" program. Half of them had at least one immediate family member who was older than 65 years of age. A partial least squares (PLS) analysis shows that "attitude" significantly affected the behavioral intention of adopting MHS, and "perceived usefulness" and "perceived ease-of-use" had an indirect effect via "attitude." The PLS model explains the variance in intention (64.1%), attitude (58.1%), and perceived usefulness (33.8%). Overall, this study shows that attitude was an important determinant of MHS adoption. Gender also significantly affected the relationship between attitude and behavioral intention to adopt MHS.

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Year:  2010        PMID: 20070162     DOI: 10.1089/tmj.2009.0093

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  9 in total

1.  Service design attributes affecting diabetic patient preferences of telemedicine in South Korea.

Authors:  Hayoung Park; Yucheong Chon; Jongsu Lee; Ie-Jung Choi; Kun-Ho Yoon
Journal:  Telemed J E Health       Date:  2011-06-01       Impact factor: 3.536

2.  The adoption of mobile health management services: an empirical study.

Authors:  Ming-Chien Hung; Wen-Yuan Jen
Journal:  J Med Syst       Date:  2010-09-29       Impact factor: 4.460

3.  Older adults' perceptions of home telehealth services.

Authors:  Miha Cimperman; Maja Makovec Brenčič; Peter Trkman; Mateja de Leonni Stanonik
Journal:  Telemed J E Health       Date:  2013-08-09       Impact factor: 3.536

4.  Technology acceptance for an Intelligent Comprehensive Interactive Care (ICIC) system for care of the elderly: a survey-questionnaire study.

Authors:  Alice M K Wong; Wei-Han Chang; Pei-Chih Ke; Chun-Kai Huang; Tsai-Hsuan Tsai; Hsien-Tsung Chang; Wann-Yun Shieh; Hsiao-Lung Chan; Chih-Kuang Chen; Yu-Cheng Pei
Journal:  PLoS One       Date:  2012-08-01       Impact factor: 3.240

5.  Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.

Authors:  Lorenz Harst; Hendrikje Lantzsch; Madlen Scheibe
Journal:  J Med Internet Res       Date:  2019-05-21       Impact factor: 5.428

6.  What Motivates Chinese Young Adults to Use mHealth?

Authors:  Wai-Ming To; Peter K C Lee; Jinxuan Lu; Junhao Wang; Yihan Yang; Qingxin Yu
Journal:  Healthcare (Basel)       Date:  2019-12-02

7.  Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT.

Authors:  Xiu-Fu Tian; Run-Ze Wu
Journal:  Int J Environ Res Public Health       Date:  2022-08-12       Impact factor: 4.614

8.  Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool.

Authors:  Dewen Liu; Qi Li; Shenghao Han
Journal:  Sensors (Basel)       Date:  2022-08-15       Impact factor: 3.847

9.  Determinants of Patients' Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China.

Authors:  Dehe Li; Yinhuan Hu; Holger Pfaff; Liuming Wang; Lu Deng; Chuntao Lu; Shixiao Xia; Siyu Cheng; Ximin Zhu; Xiaoyue Wu
Journal:  J Med Internet Res       Date:  2020-10-29       Impact factor: 5.428

  9 in total

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