Literature DB >> 23907265

The USE IT-adoption-model to predict and evaluate adoption of information and communication technology in healthcare.

M B Michel-Verkerke1, T A M Spil.   

Abstract

BACKGROUND AND
OBJECTIVE: The USE IT-model integrates theories about adoption and diffusion of innovations and is suitable to predict and evaluate the success of an information system from a user's perspective. The USE IT-model consists of four determinants: relevance, requirements, resources and resistance, which are measured at the macro-level (organizational), and at the micro-level (individual). After applying the USE IT approach in several researches we evaluated and updated the USE IT-model.
METHODS: We used the USE IT-model in ten case studies in healthcare and compared the results of the studies with the determinants and dimensions of the USE IT-model.
RESULTS: The quality of the implementation process is part of the innovation process-dimension and therefore relocated as a dimension of macro-resistance. The improvements and value in the relevance determinant are made more concrete by quality, efficiency, effectiveness, and task support. The dimensions of micro-resistance are reduced, and the dimension negative consequences is added. Also the dimensions of macro- and micro-requirements are made more specific to express the importance of information quality, availability and accessibility. DISCUSSION AND
CONCLUSION: The research resulted in the updated USE IT-adoption-model to predict and evaluate the adoption of information systems in healthcare. The structure and determinants of the original USE IT-model with a distinction between the macro- and micro-level remained unchanged.

Keywords:  Adoption model; electronic patient record; evaluation; healthcare; information and communication technology

Mesh:

Year:  2013        PMID: 23907265     DOI: 10.3414/ME12-01-0107

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


  4 in total

1.  [Gerontechnology between acceptance and evidence: results of the Lower Saxony Research Network "Design of Environments for the Ageing"].

Authors:  M Marschollek; H Künemund
Journal:  Z Gerontol Geriatr       Date:  2014-12       Impact factor: 1.281

2.  Applying User Input to the Design and Testing of an Electronic Behavioral Health Information System for Wraparound Care Coordination.

Authors:  Eric J Bruns; Kelly L Hyde; April Sather; Alyssa N Hook; Aaron R Lyon
Journal:  Adm Policy Ment Health       Date:  2016-05

3.  The Contextualized Technology Adaptation Process (CTAP): Optimizing Health Information Technology to Improve Mental Health Systems.

Authors:  Aaron R Lyon; Jessica Knaster Wasse; Kristy Ludwig; Mark Zachry; Eric J Bruns; Jürgen Unützer; Elizabeth McCauley
Journal:  Adm Policy Ment Health       Date:  2016-05

Review 4.  Review of Social and Organizational Issues in Health Information Technology.

Authors:  Craig E Kuziemsky
Journal:  Healthc Inform Res       Date:  2015-07-31
  4 in total

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