báo cáo khoa học: " Exploring the role of organizational policies and procedures in promoting research utilization in registered nurses"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Exploring the role of organizational policies and procedures in promoting research utilization in registered nurses | BioMed Central Implementation Science Research article Open Access Exploring the role of organizational policies and procedures in promoting research utilization in registered nurses Janet E Squires 1 Donna Moralejo2 and Sandra M LeFort2 Address Knowledge Utilization Studies Program Faculty of Nursing University of Alberta Edmonton Alberta T6G 0P2 Canada and 2School of Nursing Memorial University of Newfoundland St. John s NL A1B 3V6 Canada Email Janet E Squires - Donna Moralejo - moralejo@ Sandra M LeFort - slefort@ Corresponding author Published 5 June 2007 Received 23 August 2006 Implementation Science 2007 2 17 doi 1748-5908-2-17 Accepted 5 June 2007 This article is available from http content 2 1 17 2007 Squires et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Policies and procedures P Ps have been suggested as one possible strategy for moving research evidence into practice among nursing staff in hospitals. Research in the area of P Ps is limited however. This paper explores 1 nurses use of eight specific research-based practices RBPs and RBP overall 2 nurses use and understanding of P Ps and 3 the role of P Ps in promoting research utilization. Methods Staff nurses from the eight health regions governing acute care services across the Canadian province of Newfoundland and Labrador completed an anonymous questionnaire regarding their use of eight RBPs and associated P Ps. Data were also obtained from authorities in six of the eight regions about existing relevant P Ps. We used descriptive statistics and multivariate regression analysis to assess the relationship between key independent variables and self-reported

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