The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A MODEL FOR ASSESSMENT OF TELEMEDICINE APPLICATIONS: MAST
Abstract
Objectives: Telemedicine applications could potentially solve many of the challenges faced by the healthcare sectors in Europe. However, a framework for assessment of these technologies is need by decision makers to assist them in choosing the most efficient and cost-effective technologies. Therefore in 2009 the European Commission initiated the development of a framework for assessing telemedicine applications, based on the users’ need for information for decision making. This article presents the Model for ASsessment of Telemedicine applications (MAST) developed in this study. Methods: MAST was developed through workshops with users and stakeholders of telemedicine. Results: Based on the workshops and using the EUnetHTA Core HTA Model as a starting point a three-element model was developed, including: (i) preceding considerations, (ii) multidisciplinary assessment, and (iii) transferability assessment. In the multidisciplinary assessment, the outcomes of telemedicine applications comprise seven domains, based on the domains in the EUnetHTA model. Conclusions: MAST provides a structure for future assessment of telemedicine applications. MAST will be tested during 2010–13 in twenty studies of telemedicine applications in nine European countries in the EC project Renewing Health.
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Cites
Systematic Reviews in Health Care: Meta‐Analysis in Context
(2001) · doi:10.1002/9780470693926 · Cited by 1,693
Effectiveness of telemedicine: A systematic review of reviews
Ekeland, A. G., Bowes, A., & Flottorp, S. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.08.006 · Cited by 1,162
Self-citationSimera, I., Moher, D., Hirst, A., Hoey, J., Schulz, K. F., & Altman, D. G. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-24 · Cited by 590
Systematic review of cost effectiveness studies of telemedicine interventions
Whitten, P. S., Mair, F. S., Haycox, A., May, C. R., Williams, T. L., & Hellmich, S. (2002) · BMJ · doi:10.1136/bmj.324.7351.1434 · Cited by 526
Currell, R., Urquhart, C., Wainwright, P., & Lewis, R. (2000) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002098 · Cited by 463
Systematic review of evidence for the benefits of telemedicine
Hailey, D., Roine, R., & Ohinmaa, A. (2002) · Journal of Telemedicine and Telecare · doi:10.1258/1357633021937604 · Cited by 400
Clinical outcomes resulting from telemedicine interventions: a systematic review
Hersh, W. R., Helfand, M., Wallace, J., Kraemer, D., Patterson, P., Shapiro, S., & Greenlick, M. (2001) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-1-5 · Cited by 234
Cited by
Telemedicine for Healthcare: Capabilities, Features, Barriers, and Applications
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100117 · Cited by 1,638
Telemedicine: Pediatric Applications
Burke, B. L., Hall, R. W., CARE, T. S. O. T., Dehnel, P. J., Alexander, J. J., Bell, D. M., Bunik, M., Burke, B. L., & Kile, J. R. (2015) · Pediatrics · doi:10.1542/peds.2015-1517 · Cited by 440
A Review of Telehealth Service Implementation Frameworks
Van Dyk, L. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110201279 · Cited by 300
Kaplan, B. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104239 · Cited by 303
Participatory design methods in telemedicine research
Clemensen, J., Rothmann, M. J., Smith, A. C., Caffery, L. J., & Danbjorg, D. B. (2017) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x16686747 · Cited by 300
Metadata
- Authors
- Kidholm, K., Ekeland, A. G., Jensen, L. K., Rasmussen, J., Pedersen, C. D., Bowes, A., Flottorp, S. A., & Bech, M.
- Venue
- International Journal of Technology Assessment in Health Care
- Publisher
- Cambridge University Press (CUP)
- Published
- 2012-01
- Volume
- 28
- Issue
- 1
- Pages
- 44-51
- ISSN
- 0266-4623 (ISSN-L)
- 1471-6348
- OpenAlex
- W2148763706
- Cited by
- 383
- References
- 7
- FWCI
- 14.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kidholm, K., Ekeland, A. G., Jensen, L. K., Rasmussen, J., Pedersen, C. D., Bowes, A., Flottorp, S. A., & Bech, M. (2012). A MODEL FOR ASSESSMENT OF TELEMEDICINE APPLICATIONS: MAST. International Journal of Technology Assessment in Health Care. https://doi.org/10.1017/s0266462311000638
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