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Would they trust it? An exploration of psychosocial and environmental factors affecting prescriber acceptance of computerised dose-recommendation software

机译:他们会相信吗? 影响Parencial Adversion软件的心理社会和环境因素的探索

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Aims Dose-prediction software can optimise vancomycin therapy, improving therapeutic drug monitoring processes and reducing drug toxicity. Success of software in hospitals may be dependent on prescriber uptake of software recommendations. This study aimed to identify the perceived psychosocial and environmental barriers and facilitators to prescriber acceptance of dose-prediction software. Methods Semi-structured interviews, incorporating prescribing scenarios, were undertaken with 17 prescribers. Participants were asked to prescribe the next maintenance dose of vancomycin for a scenario(s) and then asked if they would accept a recommendation provided by a dose-prediction software. Interviews further explored opinions of dose-prediction software. Interview transcripts were analysed using an inductive approach to identify themes and the Theoretical Domains Framework was used to synthesise barriers and facilitators to software acceptance. Results When presented with software recommendations, half of the participants were comfortable with accepting the recommendation. Key barriers to acceptance of software recommendations aligned with 2 Theoretical Domains Framework domains: Knowledge (uncertainty of software capability) and Beliefs about Consequences (perceived impact of software on clinical outcomes and workload). Key facilitators aligned with 2 domains: Beliefs about Consequences (improved efficiency) and Social Influences (influence of peers). A novel domain, Trust, was identified as influential. Conclusion Prescribers reported barriers to acceptance of dose-prediction software aligned with limited understanding of, and scepticism about, software capabilities, as well as concerns about clinical outcomes. Identification of key barriers and facilitators to acceptance provides essential information to design of implementation strategies to support the introduction of this intervention into the workplace.
机译:Aims剂量预测软件可以优化万古霉素治疗,改善治疗药物监测过程,降低药物毒性。软件在医院的成功可能取决于处方医生对软件建议的接受程度。本研究旨在确定医生接受剂量预测软件的心理社会和环境障碍以及促进者。方法采用半结构式访谈,结合处方情景,对17名处方人员进行访谈。参与者被要求为某个场景开出下一次万古霉素维持剂量,然后询问他们是否接受剂量预测软件提供的建议。采访进一步探讨了对剂量预测软件的看法。访谈记录使用归纳法进行分析,以确定主题,并使用理论域框架综合软件接受的障碍和促进因素。结果当呈现软件推荐时,一半的参与者对接受推荐感到满意。接受软件建议的主要障碍与两个理论领域框架一致:知识(软件能力的不确定性)和对后果的信念(软件对临床结果和工作量的感知影响)。关键促进者与两个领域保持一致:关于后果的信念(提高效率)和社会影响(同龄人的影响)。一个新的领域,信任,被认为是有影响力的。结论:处方医生报告了接受剂量预测软件的障碍,这与对软件能力的有限理解和怀疑以及对临床结果的担忧相一致。识别关键障碍和接受促进者为设计实施策略提供了基本信息,以支持将这种干预引入工作场所。

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