Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Multi-level analysis of electronic health record adoption by health care professionals: A study protocol | Gagnon et al. Implementation Science 2010 5 30 http content 5 1 30 IMPLEMENTATION SCIENCE Implementation Science STUDY PROTOCOL Open Access Mu lti-level analysis of electronic health record adoption by health care professionals A study protocol Marie-Pierre Gagnon 1 2 Mathieu Ouimet1 3 Gaston Godin2 Michel Rousseau4 Michel Labrecque1 4 Yvan Leduc4 and Anis Ben Abdeljelil1 Abstract Background The electronic health record EHR is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients professionals organisations and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings as well as possible interrelations between these factors. Methods A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region Canada . At the individual level a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact depending on the pace of EHR implementation key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical .