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Kwon and Jang: Qualitative Analysis of Tele-healthcare Systems based on the Diffusion of Innovation Model
Original Article

J Korean Acad Community Health Nurs 2017;28(2):129-143.

Published online: 12 June 2017

DOI: https://doi.org/10.12799/jkachn.2017.28.2.129

Qualitative Analysis of Tele-healthcare Systems based on the Diffusion of Innovation Model

Myung Soon Kwon1, Ji Hye Jang2

1Division of Nursing, Hallym University, Chuncheon, Korea

2Department of Nursing, Gangneung Yeong Dong University, Chuncheon, Korea

Corresponding author: Jang, Ji Hye Department of Nursing, Gangneung Yeong Dong University, 357 Gongje-ro, Gangneung 25521, Korea. Tel: +82-33-610-0325, Fax: +82-33-610-0198, E-mail: gogh0049@gmail.com

Received 1 March 2017       Revised 30 May 2017       Accepted 3 June 2017

Copyright © 2017 Korean Academy of Community Health Nursing

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

The purpose of this study is to explore factors which influence adoption, implementation and continued use of tele-healthcare systems.

Methods

Qualitative research was conducted by in-depth interviews with 17 professionals from various fields of organizations involved in developing and implementing tele-healthcare systems. Data were analysed thematically, using a conceptual model of diffusion of innovations.

Results

The system users were reacted positively to the 3 attributes out of 9 which decided the adoption of innovation. In addition, it is required to redesign the tele-health care system simpler and easier so that the system users can access to the system much more easily regardless of space and time limitations. From the design stage on an individual level, it is necessary to conduct detailed needs analysis and listen to users who are at the center of innovation diffusion. On an organizational level, it is necessary to actively prepare for possible problems during system implementation, educate the users and build communication channels continuously.

Conclusion

This study has identified the factors affecting the innovation of tele-health care systems and contributed to the understanding of the operation of tele-health care systems by the diffusion of innovation theory in community health posts.

Keywords: Telemedicine, Diffusion of innovation, Delivery of health care, Qualitative research

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Figure 1.
Conceptual model for considering the determinants of diffusion, dissemination, and implementation of innovations in health service delivery and organization, based on a systematic review of empirical research studies. [15]
jkachn-28-129f1.tif
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