title: The USE IT-adoption-model to predict and evaluate adoption of information and communication technology in healthcare.
abstract: 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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Margreet B. Michel-Verkerke, Saxion University of Applied Sciences, Research Center Health, Social Work and Technology, M. H. Tromplaan 28, 7513 AB Enschede, The Netherlands, E-mail: m.b.michel@saxion.nl.
authors.forename: M B
authors.initials: MB
authors.lastname: Michel-Verkerke
authors.forename: T A M
authors.initials: TA
authors.lastname: Spil
mesh_terms: D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D003198:Computer Simulation; D004059:Diffusion of Innovation; D057286:Electronic Health Records / Q000458:organization & administration*; D006801:Humans; D008491:Medical Informatics Applications; D011785:Quality Assurance, Health Care; D011795:Surveys and Questionnaires
keywords: Adoption model; electronic patient record; evaluation; healthcare; information and communication technology