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抗生素计算机决策支持系统推荐意见的医生接受的心理社会决定因素:一项混合方法研究。

Psychosocial determinants of physicians' acceptance of recommendations by antibiotic computerised decision support systems: A mixed methods study.

机构信息

Department of Clinical Epidemiology, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, Singapore; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.

Department of Infectious Diseases, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

出版信息

Int J Antimicrob Agents. 2015 Mar;45(3):295-304. doi: 10.1016/j.ijantimicag.2014.10.009. Epub 2014 Nov 13.

Abstract

Antibiotic computerised decision support systems (CDSSs) were developed to facilitate optimal prescribing, but acceptance of their recommendations has remained low. We aimed to evaluate physicians' perceptions and attitudes toward antibiotic CDSSs and determine psychosocial factors associated with acceptance of CDSS recommendations for empirical therapy. A mixed methods study was conducted in an adult tertiary-care hospital in Singapore, with its in-house antibiotic CDSS that integrates antimicrobial stewardship with electronic prescribing. Focus group discussions were conducted among purposively sampled physicians and data were analysed using the framework approach. Emerging themes were included in the questionnaire with newly developed scales for the subsequent cross-sectional survey involving all physicians. Principal components analysis was performed to derive the latent factor structure that was later applied in multivariate analyses. Physicians expressed confidence in the credibility of CDSS recommendations. Junior physicians accepted CDSS recommendations most of the time, whilst senior physicians acknowledged overriding recommendations in complex patients with multiple infections or allergies. Willingness to consult the CDSS for common and complex infections (OR=1.68, 95% CI 1.16-2.44) and preference for personal or team decision (OR=0.61, 95% CI 0.43-0.85) were associated with acceptance of CDSS recommendations. Cronbach's α for scales measuring physicians' attitudes and perceptions towards acceptance of CDSS recommendations ranged from 0.64 to 0.88. Physicians' willingness to consult an antibiotic CDSS determined acceptance of its recommendations. Physicians would choose to exercise their own or clinical team's decision over CDSS recommendations in complex patient situations when the antibiotic prescribing needs were not met.

摘要

抗生素计算机决策支持系统(CDSS)旨在促进最佳处方,但对其建议的接受程度仍然较低。我们旨在评估医生对抗生素 CDSS 的看法和态度,并确定与接受 CDSS 经验性治疗建议相关的心理社会因素。在新加坡的一家成人三级保健医院进行了一项混合方法研究,该医院使用内部抗生素 CDSS 将抗菌药物管理与电子处方结合使用。在有目的抽样的医生中进行了焦点小组讨论,并使用框架方法对数据进行分析。在随后的横断面调查中,将出现的主题纳入问卷中,该调查涉及所有医生,并为其开发了新的量表。进行主成分分析以得出潜在的因素结构,然后将其应用于多变量分析。医生对 CDSS 建议的可信度表示信心。初级医生大部分时间都接受 CDSS 建议,而高级医生则承认在有多种感染或过敏的复杂患者中可以推翻建议。愿意就常见和复杂感染咨询 CDSS(OR=1.68,95%CI 1.16-2.44)和个人或团队决策偏好(OR=0.61,95%CI 0.43-0.85)与接受 CDSS 建议相关。衡量医生对接受 CDSS 建议的态度和看法的量表的 Cronbach's α 范围为 0.64 至 0.88。医生咨询抗生素 CDSS 的意愿决定了其建议的接受程度。当抗生素处方需求未得到满足时,医生在复杂患者情况下会选择行使自己或临床团队的决策而不是 CDSS 建议。

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