Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design | Kastner et al. Implementation Science 2011 6 77 http content 6 1 77 Implementation Science IMPLEMENTATION SCIENCE STUDY PROTOCOL Open Access Evaluation of a clinical decision support tool for osteoporosis disease management protocol for an interrupted time series design l lnnỈ1 2 lóctnor1 5 t Anm A I -J2 TKr irr io3 5 K ÌTirL L Kir i fiCil4 Hrictir iCi ly l mi IQ75 Mo A fmnSt Monika Kastner Anna jdWkd Kevin il lorpe IViark Cllignel Cinisiine Marquez David INcWlUn and Sharon E Strauss 6t Abstract Background Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines on assessing and managing osteoporosis are available many patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions a series of mixed-methods studies and advice from experts in osteoporosis and human-factors engineering were used collectively to develop a multicomponent tool targeted to family physicians and patients at risk for osteoporosis that may support clinical decision making in osteoporosis disease management at the point of care. Methods A three-phased approach will be used to evaluate the osteoporosis tool. In phase 1 the tool will be implemented in three family practices. It will involve ensuring optimal functioning of the tool while minimizing disruption to usual practice. In phase 2 the tool will be pilot tested in a quasi-experimental interrupted time series ITS design to determine if it can improve osteoporosis disease management at the point of care. Phase 3 will involve conducting a qualitative postintervention follow-up study to better understand participants experiences and perceived utility of the tool and readiness to adopt the tool at the point of care. Discussion The osteoporosis tool has the potential to make several contributions to the development and evaluation of complex chronic disease interventions such as the .
