Hattingh Laetitia, Baysari Melissa T, Foot Holly, Sim Tin Fei, Keijzers Gerben, Morgan Mark, Scott Ian, Norman Richard, Yong Faith, Mullan Barbara, Jackson Claire, Oldfield Leslie E, Manias Elizabeth
Allied Health Research, Gold Coast Health, Southport, QLD, 4215, Australia.
School of Pharmacy, The University of Queensland, Brisbane, QLD, 4102, Australia.
Trials. 2024 Sep 27;25(1):632. doi: 10.1186/s13063-024-08496-w.
General practitioners (GP) and community pharmacists need information about hospital discharge patients' medicines to continue their management in the community. This necessitates effective communication, collaboration, and reliable information-sharing. However, such handover is inconsistent, and whilst digital systems are in place to transfer information at transitions of care, these systems are passive and clinicians are not prompted about patients' transitions. There are also gaps in communication between community pharmacists and GPs. These issues impact patient safety, leading to hospital readmissions and increased healthcare costs.
A three-phased, multi-method study design is planned to trial a multifaceted intervention to reduce 30-day hospital readmissions. Phase 1 is the co-design of the intervention with stakeholders and end-users; phase 2 is the development of the intervention; phase 3 is a stepped wedge cluster randomised controlled trial with 20 clusters (community pharmacies). Expected intervention components will be a hospital pharmacist navigator, primary care medication management review services, and a digital solution for information sharing. Phase 3 will recruit 10 patients per pharmacy cluster/month to achieve a sample size of 2200 patients powered to detect a 5% absolute reduction in unplanned readmissions from 10% in the control group to 5% in the intervention at 30 days. The randomisation and intervention will occur at the level of the patient's nominated community pharmacy. Primary analysis will be a comparison of 30-day medication-related hospital readmissions between intervention and control clusters using a mixed effects Poisson regression model with a random effect for cluster (pharmacy) and a fixed effect for each step to account for secular trends.
This trial is registered with the Australian New Zealand Clinical Trials Registry: ACTRN12624000480583p , registered 19 April 2024.
全科医生(GP)和社区药剂师需要有关出院患者用药的信息,以便在社区中继续对患者进行管理。这就需要有效的沟通、协作和可靠的信息共享。然而,这种交接并不一致,虽然在医疗护理转接时已有数字系统来传输信息,但这些系统是被动的,临床医生不会收到有关患者转接的提示。社区药剂师和全科医生之间的沟通也存在差距。这些问题影响患者安全,导致患者再次入院并增加医疗成本。
计划采用三阶段、多方法的研究设计来试验一项多方面的干预措施,以减少30天内的医院再入院率。第一阶段是与利益相关者和最终用户共同设计干预措施;第二阶段是开发干预措施;第三阶段是一项阶梯楔形整群随机对照试验,有20个整群(社区药房)。预期的干预组成部分将包括一名医院药剂师导航员、初级保健药物管理审查服务以及一个信息共享数字解决方案。第三阶段将每个药房整群每月招募10名患者,以达到2200名患者的样本量,该样本量有足够的效力检测出计划外再入院率从对照组的10%绝对降低5%,即干预组在30天时为5%。随机分组和干预将在患者指定的社区药房层面进行。主要分析将是使用混合效应泊松回归模型,对干预组和对照组整群之间30天与药物相关的医院再入院情况进行比较,该模型对整群(药房)有随机效应,对每个阶段有固定效应,以考虑长期趋势。
本试验已在澳大利亚新西兰临床试验注册中心注册:ACTRN12624000480583p,于2024年4月19日注册。