Email updates

Keep up to date with the latest news and content from BMC Medical Informatics and Decision Making and BioMed Central.

Open Access Highly Accessed Research article

Healthcare professional acceptance of telemonitoring for chronic care patients in primary care

José Asua12, Estibalitz Orruño1, Eva Reviriego1 and Marie Pierre Gagnon34*

Author Affiliations

1 Department of Health and Consumer Affairs, Basque Government, Office for Health Technology Assessment (Osteba), Vitoria-Gasteiz, Spain

2 Department of Health and Consumer Affairs, Basque Government, Direction of Knowledge Management and Evaluation, Vitoria-Gasteiz, Spain

3 Faculty of Nursing Sciences, Université Laval, Québec, Canada

4 Research Centre of the Centre Hospitalier Universitaire de Québec, Québec, Canada

For all author emails, please log on.

BMC Medical Informatics and Decision Making 2012, 12:139  doi:10.1186/1472-6947-12-139

Published: 30 November 2012

Abstract

Background

A pilot experimentation of a telemonitoring system for chronic care patients is conducted in the Bilbao Primary Care Health Region (Basque Country, Spain). It seems important to understand the factors related to healthcare professionals’ acceptance of this new technology in order to inform its extension to the whole healthcare system.

This study aims to examine the psychosocial factors related to telemonitoring acceptance among healthcare professionals and to apply a theory-based instrument.

Methods

A validated questionnaire, based on an extension of the Technology Acceptance Model (TAM), was distributed to a total of 605 nurses, general practitioners and paediatricians. Logistic regression analysis was performed to test the theoretical model. Adjusted odds ratios (OR) and their 95% confidence intervals (CI) were computed.

Results

A response rate of 44.3% was achieved. The original TAM model was good at predicting intention to use the telemonitoring system. However, the extended model, that included other theoretical variables, was more powerful. Perceived Usefulness, Compatibility, and Facilitators were the significant predictors of intention. A detailed analysis showed that intention to use telemonitoring was best predicted by healthcare professionals’ beliefs that they would obtain adequate training and technical support and that telemonitoring would require important changes in their practice.

Conclusion

The extended TAM explained a significant portion of the variance in healthcare professionals' intention to use a telemonitoring system for chronic care patients in primary care. The perception of facilitators in the organisational context is the most important variable to consider for increasing healthcare professionals’ intention to use the new technology.

Keywords:
Telemonitoring; Chronic care patients; Healthcare professional; Technology Acceptance Model (TAM); Primary care; Basque country; Psychosocial factors