Literature DB >> 18473093

An overview and analysis of theories employed in telemedicine studies. A field in search of an identity.

D Gammon1, L K Johannessen, T Sørensen, R Wynn, P Whitten.   

Abstract

OBJECTIVES: This study asks: What theories are employed in telemedicine studies? How might they be categorized in ways that help distinguish the knowledge base of telemedicine?
METHODS: Theories in use were identified from a database of telemedicine-related publications between 1990 and 2005. Eighty-three (5% of 1615) articles referred to a theoretical concept. Grounded Theory procedures were used to analyze and categorize theories, while descriptive statistics were used for supplementary information.
RESULTS: The proportion of studies with theory was 3% in 1999 and 7% in 2005. The 83 articles were dispersed among 48 of the in total 795 different journals in the original sample. Identified theories were grouped into two main categories; 'shared' (used in two or more studies) and 'lone ranger'. All of the shared theories are social science theories employed without notable adjustments to any uniquely defining features of telemedicine; diffusion, technology acceptance, health behavior, science and technology studies (STS), and economics. Theoretical concepts within the lone ranger category may well address unique features of telemedicine, but have yet to attract the attention of colleagues.
CONCLUSION: The theories identified as 'shared' play an important role, but are inadequate in illuminating any unique features of telemedicine. The future of telemedicine as a field will need to identify its underlying theoretical components. Frameworks employed in the field of evaluation may aid in identifying the types of theories worth articulating in telemedicine.

Mesh:

Year:  2008        PMID: 18473093

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  10 in total

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Authors:  Richard J Holden
Journal:  Int J Med Inform       Date:  2010-01-13       Impact factor: 4.046

Review 2.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

Review 3.  The chronic care model and technological research and innovation: a scoping review at the crossroads.

Authors:  Deede Gammon; Gro Karine Rosvold Berntsen; Absera Teshome Koricho; Karin Sygna; Cornelia Ruland
Journal:  J Med Internet Res       Date:  2015-02-06       Impact factor: 5.428

4.  TElehealth in CHronic disease: mixed-methods study to develop the TECH conceptual model for intervention design and evaluation.

Authors:  Chris Salisbury; Clare Thomas; Alicia O'Cathain; Anne Rogers; Catherine Pope; Lucy Yardley; Sandra Hollinghurst; Tom Fahey; Glyn Lewis; Shirley Large; Louisa Edwards; Alison Rowsell; Julia Segar; Simon Brownsell; Alan A Montgomery
Journal:  BMJ Open       Date:  2015-02-06       Impact factor: 2.692

5.  Should we embed randomized controlled trials within action research: arguing from a case study of telemonitoring.

Authors:  Karen Day; Timothy W Kenealy; Nicolette F Sheridan
Journal:  BMC Med Res Methodol       Date:  2016-06-08       Impact factor: 4.615

Review 6.  Use of social media for sexual health promotion: a scoping review.

Authors:  Elia Gabarron; Rolf Wynn
Journal:  Glob Health Action       Date:  2016-09-19       Impact factor: 2.640

7.  Self-monitoring of health data by patients with a chronic disease: does disease controllability matter?

Authors:  Martine W J Huygens; Ilse C S Swinkels; Judith D de Jong; Monique J W M Heijmans; Roland D Friele; Onno C P van Schayck; Luc P de Witte
Journal:  BMC Fam Pract       Date:  2017-03-20       Impact factor: 2.497

8.  Evaluating an Intervention Program Using WeChat for Patients With Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial.

Authors:  Yuyu Jiang; Fenglan Liu; Jianlan Guo; Pingping Sun; Zhongyi Chen; Jinping Li; Liming Cai; Hongqing Zhao; Ping Gao; Zhaosheng Ding; Xiaoliang Wu
Journal:  J Med Internet Res       Date:  2020-04-21       Impact factor: 5.428

9.  Formulating Telemedicine Strategies in Isfahan University of Medical Sciences.

Authors:  Asghar Ehteshami; Sakineh Saghaeiannejad-Isfahani; Mahnaz Samadbeik; Khdijeh Falah
Journal:  Acta Inform Med       Date:  2018-10

Review 10.  The use of cell phones and radio communication systems to reduce delays in getting help for pregnant women in low- and middle-income countries: a scoping review.

Authors:  Sunday O Oyeyemi; Rolf Wynn
Journal:  Glob Health Action       Date:  2015-09-10       Impact factor: 2.640

  10 in total

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