Methods Inf Med 2013; 52(03): 189-198
DOI: 10.3414/ME12-01-0041
Original Articles
Schattauer GmbH

Evaluation of the USE IT-questionnaire for the Evaluation of the Adoption of Electronic Patient Records by Healthcare Professionals[*]

M. B. Michel-Verkerke
1   Saxion University of Applied Sciences, Research Center Health, Social Work and Technology, Enschede, The Netherlands
2   University of Twente, Enschede, The Netherlands
,
A. M. G. M. Hoogeboom
1   Saxion University of Applied Sciences, Research Center Health, Social Work and Technology, Enschede, The Netherlands
2   University of Twente, Enschede, The Netherlands
› Author Affiliations
Further Information

Publication History

received: 01 May 2012

accepted: 27 April 2012

Publication Date:
20 January 2018 (online)

Summary

Background: A combined quantitative and qualitative socio-technical approach is applied in two evaluation studies of electronic patient records (EPR). In these studies the focus was on factors influencing the adoption of the EPR by care providers.

Objective: The research approach is based on the USE IT-model. In addition to the USE IT-interview model, the USE IT-questionnaire is presented and evaluated in order to pre sent a valid and useful integrated approach for the evaluation of IT-adoption in healthcare.

Methods: The USE IT-questionnaire was evaluated by applying a principal component analysis of the quantitative results in two cases (n = 222), and by comparison of the resulting factors with the determinants of the USE IT-model.

Results: The factor analysis of the USE IT-questionnaire resulted in six valid factors: 1. Task support satisfaction, 2. Interface satisfaction, 3. Compatibility, 4. Collaboration, 5. Learnability, and 6. Accessibility. The questions about resources did not combine into a factor.

Conclusion: The detailed questions of the questionnaire lead to decomposition of the constructs Task support satisfaction and Ease of use into factors. The construct Task support satisfaction which was supposed to measure relevance was decomposed in two factors measuring relevance and two factors measuring micro-requirements.

* Supplemental material published on our website www.methods-online.com


 
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