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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2019

Open Access 01-12-2019 | Care | Research article

Readiness to use telemonitoring in diabetes care: a cross-sectional study among Austrian practitioners

Authors: Domenik Muigg, Peter Kastner, Georg Duftschmid, Robert Modre-Osprian, Daniela Haluza

Published in: BMC Medical Informatics and Decision Making | Issue 1/2019

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Abstract

Background

Telemonitoring services could dramatically improve the care of diabetes patients by enhancing their quality of life while decreasing healthcare expenditures. However, the potential for implementing innovative treatment options in the Austrian public and private health system is not known yet. Thus, we analyzed the readiness to use telemonitoring in diabetes care among Austrian practitioners.

Methods

We conducted an online survey among a purposive sample of Austrian practitioners (n = 41) using an adapted German version of the practitioner telehealth readiness assessment tool. We assessed three readiness domains for telemonitoring in the context of diabetes care, i.e. core readiness, engagement readiness, and structural readiness, and validated the German tool using principal components analysis.

Results

Study subjects perceived themselves as open to innovations and also expressed optimistic attitudes towards telemonitoring in general and offering telemonitoring-based services for their patients. Participants achieved a medium average readiness level for telemonitoring (58.2, 95% CI 53.9–62.5) and were thus in a good position to use telemonitoring, although some arguments may adversely affected its use. The top three perceived benefits of telemonitoring were enhanced quality of treatment, better therapy adjustment, and reduced travel and waiting times for patients. The top three barriers were reduced personal communication, practitioner time expenditure and equally placed poor financial compensation as well as data security and privacy issues.

Conclusion

Our data revealed that Austrian practitioners showed a quite moderate readiness to use telemonitoring in diabetes care. To further advance telemonitoring readiness among all pillars of diabetes care in Austria, joint efforts among healthcare stakeholders are required to overcome existing financial, organizational, and technical obstacles.
Literature
1.
2.
3.
Griebler R, Geißler W, Winkler P: Zivilisationskrankheit Diabetes Ausprägungen-Lösungsansätze-Herausforderungen. Österreichischer Diabetesbericht 2013, Bundesministerium für Gesundheit.
4.
Young HM, Nesbitt TS. Increasing the capacity of primary care through enabling technology. J Gen Intern Med. 2017;32(4):398–403.CrossRef
5.
Chen L, Chuang LM, Chang CH, Wang CS, Wang IC, Chung Y, Peng HY, Chen HC, Hsu YL, Lin YS, et al. Evaluating self-management behaviors of diabetic patients in a telehealthcare program: longitudinal study over 18 months. J Med Int Res. 2013;15(12):e266.
6.
Arsand E, Tufano JT, Ralston JD, Hjortdahl P. Designing mobile dietary management support technologies for people with diabetes. J Telemed Telecare. 2008;14(7):329-32.
7.
Peel E, Douglas M, Lawton J. Self monitoring of blood glucose in type 2 diabetes: longitudinal qualitative study of patients' perspectives. BMJ. 2007;335.
8.
Riedl R, Robausch M, Berghold A. The evaluation of the effectiveness of Austrians disease management program in patients with type 2 diabetes mellitus - a population-based retrospective cohort study. PLoS One. 2016;11(8):e0161429.
9.
10.
Jennifer LP, Kristin SV, Dawn MF, Julie CH, Paul YT, Gregory JH. Health care providers style may impact acceptance of Telemonitoring. Home Health Care Manag Pract. 2012;24(6):276–82.CrossRef
11.
Haluza D, Jungwirth D. ICT and the future of health care: aspects of doctor-patient communication. Int J Technol Assess Health Care. 2014;30(3):298–305.CrossRef
12.
Haluza D, Jungwirth D. ICT and the future of health care: aspects of health promotion. Int J Med Inf. 2015;84(1):48–57.CrossRef
13.
Haluza D, Jungwirth D. ICT and the future of healthcare: aspects of pervasive health monitoring. Inform Health Soc Care. 2016;22:1–11.CrossRef
14.
Rohleder B. Digital health. Berlin: Bitkom Research; 2016.
15.
Leppert F, Gerlach J, Ostwald DA, Greiner W. Strength and weaknesses of the German digital health economy. Gesundheitswesen. 2017;26(10):0043–112744.
16.
17.
Muigg D, Kastner P, Modre-Osprian R, Haluza D, Duftschmid G. Is Austria ready for Telemonitoring? A readiness assessment among doctors and patients in the field of diabetes. Stud Health Technol Inform. 2018;248:322–9.PubMed
18.
Palfrey J, Gasser U. Born digital: understanding the first generation of digital natives. New York: Basic Books; 2008.
19.
Hofmarcher MM, Quentin W. Austria: health system review. Health Syst Transit. 2013;15(7):1–292.PubMed
20.
Haluza D, Naszay M, Stockinger A, Jungwirth D. Prevailing opinions on connected health in Austria: results from an online survey. Int J Environ Res Public Health. 2016;13(8).
21.
Chen X, Ung CO, Hu H, Liu X, Zhao J, Hu Y, Li P, Yang Q. Community Pharmacists’ perceptions about pharmaceutical care of traditional medicine products: a questionnaire-based cross-sectional study in Guangzhou, China. Evid Based Complement Alternat Med. 2016;7801637(10):15.
22.
Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Hughes G, A'Court C, Hinder S, Fahy N, Procter R, Shaw S. Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res. 2017;19(11):e367.
23.
Chen S, Cheng A, Mehta K. A review of telemedicine business models. Telemed J E Health. 2013;19(4):287–97.CrossRef
24.
Jennett P, Yeo M, Pauls M, Graham J. Organizational readiness for telemedicine: implications for success and failure. J Telemed Telecare. 2003;9(2):S27–30.CrossRef
25.
Legare E, Vincent C, Lehoux P, Anderson D, Kairy D, Gagnon MP, Jennett P. Telehealth readiness assessment tools. J Telemed Telecare. 2010;16(3):107–9.CrossRef
26.
Legare E, Vincent C, Lehoux P, Anderson D, Kairy D, Gagnon M-P, Jennett P. Developing and validating the French-Canadian version of the practitioner and organizational telehealth readiness assessment tools. J Telemed Telecare. 2010;16(3):140–6.CrossRef
27.
Jennett P, Jackson A, Healy T, Ho K, Kazanjian A, Woollard R, Haydt S, Bates J. A study of a rural community’s readiness for telehealth. J Telemed Telecare. 2003;9(5):259–63.CrossRef
28.
Vallerand R. Toward a methodology for the transcultural validation of psychological questionnaires: implications for research in the French. language. 1989;30.
29.
Spiekermann C, Rudack C, Stenner M. Reliability and validity of the German version of the Utrecht questionnaire for outcome assessment in aesthetic rhinoplasty (D-OAR). Eur Arch Otorhinolaryngol. 2017;274(11):3893–8.CrossRef
30.
Sommerfleck FA, Schneeberger EE, Orozco MC, Zamora N, Landi M, Citera G. Validation and cultural adaptation of the qualisex questionnaire in patients with axial spondyloarthritis in Argentina. Rheumatol Int. 2018;30(10):018–4148.
31.
32.
Nayar P, McFarland KK, Chandak A, Gupta N. Readiness for Teledentistry: validation of a tool for Oral health professionals. J Med Syst. 2016;41(1):4.CrossRef
33.
Mc Carthy VJC, Murphy A, Savage E, Hegarty J, Coffey A, Leahy-Warren P, Horgan A, O'Connell R, Marsh L, Drennan J. Development and psychometric testing of the clinical leadership needs analysis (CLeeNA) instrument for nurses and midwives. J Nurs Manag. 2018;31(10):12672.
34.
Cerny BA, Kaiser HF. A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivariate Behav Res. 1977;12(1):43–7.CrossRef
35.
Hsiu-Fang H, Sarah ES. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.CrossRef
36.
37.
Darkins A, Kendall S, Edmonson E, Young M, Stressel P. Reduced cost and mortality using home telehealth to promote self-management of complex chronic conditions: a retrospective matched cohort study of 4,999 veteran patients. Telemed J E Health. 2015;21(1):70–6.CrossRef
38.
Duftschmid G, Dorda W, Endel G, Froschl K, Gall W, Grossmann W, Hronsky M. Fragmentation of diabetes treatment in Austria - an indicator for the need for shared electronic health record systems. Stud Health Technol Inform. 2012;180:667–71.PubMed
39.
40.
Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231.CrossRef
41.
Codagnone C, Lupiañez-Villanueva F. Benchmarking Deployment of eHealth among General Practitioners (2013)–Final Report. Luxembourg: European Commission; 2014.
42.
Gund A, Lindecrantz K, Schaufelberger M, Patel H, Sjoqvist BA. Attitudes among healthcare professionals towards ICT and home follow-up in chronic heart failure care. BMC Med Inform Decis Mak. 2012;12:138.CrossRef
43.
Hannan TJ, Celia C. Are doctors the structural weakness in the e-health building? Intern Med J. 2013;43(10):1155–64.CrossRef
44.
Thill K-D: Digitalisierung der Arztpraxis: Wie man mit der Transformations-Trias zur Umsetzungs-Strategie gelangt. IFABS: BENCHMARK! 2017.
45.
Sadler GR, Lee H-C, Seung-Hwan Lim R, Fullerton J. Recruiting hard-to-reach United States population sub-groups via adaptations of snowball sampling strategy. Nurs Health Sci. 2010;12(3):369–74.CrossRef
46.
Baltar F, Brunet I. Social research 2.0: virtual snowball sampling method using Facebook. Internet Res. 2012;22(1):57–74.CrossRef
47.
Emani S, Yamin CK, Peters E, Karson AS, Lipsitz SR, Wald JS, Williams DH, Bates DW. Patient perceptions of a personal health record: a test of the diffusion of innovation model. J Med Internet Res. 2012;14(6):e150.
Metadata
Title
Readiness to use telemonitoring in diabetes care: a cross-sectional study among Austrian practitioners
Authors
Domenik Muigg
Peter Kastner
Georg Duftschmid
Robert Modre-Osprian
Daniela Haluza
Publication date
01-12-2019
Publisher
BioMed Central
Keywords
Care
Telemedicine
Published in
BMC Medical Informatics and Decision Making / Issue 1/2019
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-0746-7

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