Literature DB >> 21480787

Key factors influencing the intention of telecare adoption: an institutional perspective.

Chung-Feng Liu1.   

Abstract

OBJECTIVE: The objective of this study was to explore key factors of influence on the adoption of telecare by care institutions. This investigation was based on an extensive Technology-Organization-Environment framework comprising the four constructs of technology, organization, environment, and the project planning as well as corresponding variables.
MATERIALS AND METHODS: This study utilized a self-administered questionnaire for data collection, focusing on the managers of all 339 nursing homes in Taiwan for the census survey.
RESULTS: A total of 70 valid questionnaires yielded a response rate of 20.65%. After analyzing the responses through the Partial Least Squares approach, government support, technological knowledge, supplier support, team skills, and compatibility were found to be the five key factors that positively impact intention to adopt telecare from an institutional perspective.
CONCLUSIONS: The results of this study indicated that care institutions, for the most part, are willing to develop telecare and are already incorporating preliminary applications of telecare, such as distance learning and resident positioning. Solutions to potential issues related to implementing telecare in practice are also proposed in this study.

Mesh:

Year:  2011        PMID: 21480787     DOI: 10.1089/tmj.2010.0184

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


  8 in total

1.  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

2.  Determinants of RFID adoption in Malaysia's healthcare industry: occupational level as a moderator.

Authors:  Suhaiza Zailani; Mohammad Iranmanesh; Davoud Nikbin; Jameson Khoo Cheong Beng
Journal:  J Med Syst       Date:  2014-12-11       Impact factor: 4.460

3.  Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective.

Authors:  Suhaiza Zailani; Mina Sayyah Gilani; Davoud Nikbin; Mohammad Iranmanesh
Journal:  J Med Syst       Date:  2014-07-20       Impact factor: 4.460

4.  Dr. Answer AI for prostate cancer: Intention to use, expected effects, performance, and concerns of urologists.

Authors:  Mi Jung Rho; Jihwan Park; Hyong Woo Moon; Choung-Soo Kim; Seong Soo Jeon; Minyong Kang; Ji Youl Lee
Journal:  Prostate Int       Date:  2021-11-23

5.  Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals.

Authors:  Md Golam Rabiul Alam; Abdul Kadar Muhammad Masum; Loo-See Beh; Choong Seon Hong
Journal:  PLoS One       Date:  2016-08-05       Impact factor: 3.240

6.  Barriers and Facilitators to eHealth Use in Daily Practice: Perspectives of Patients and Professionals in Dermatology.

Authors:  Lieneke Fm Ariens; Florine Ml Schussler-Raymakers; Cynthia Frima; Annebeth Flinterman; Eefje Hamminga; Bernd Wm Arents; Carla Afm Bruijnzeel-Koomen; Marjolein S de Bruin-Weller; Harmieke van Os-Medendorp
Journal:  J Med Internet Res       Date:  2017-09-05       Impact factor: 5.428

7.  Dynamics of Health Technology Diffusion in the Integrated Care System (DHTDICS): A Development and Validation Study in China.

Authors:  Qingwen Deng; Junhong Lu; Zhichao Zeng; Yuhang Zheng; Wenbin Liu
Journal:  Risk Manag Healthc Policy       Date:  2021-01-27

8.  Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework.

Authors:  Jinxin Yang; Biao Luo; Chen Zhao; Hongliang Zhang
Journal:  Digit Health       Date:  2022-10-05
  8 in total

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