PGDipNursing, PGCertBA, Research Innovation and Population Health Manager, Gold Coast Primary Health Network, Robina, Qld.
BM, BCh, MA, PhD, MRCGP, FRACGP, Professor of General Practice, Associate Dean, External Engagement, External Engagement @ Marketing, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Qld.
Aust J Gen Pract. 2022 Nov;51(11):884-892. doi: 10.31128/AJGP-08-21-6112.
Primary health networks (PHNs) are tasked with supporting quality improvement in general practice. Traditional methods to do this are labour intensive and lack impact measurement. We aimed to measure general practitioner (GP) response rates to computer decision support at the point of care.
Gold Coast PHN developed a decision support tool to deliver real-time medication safety alerts and prompts for interventions and record the GP intervention in 80 general practices covering 519,000 patients.
From July 2020 to June 2021, there were 3153 alerts triggered for 2328 patients, with 1250 of the suggested interventions being done (40%). From January 2021 to June 2021, 19,019 prompts were triggered during a visit for 17,398 patients, with 5444 of the suggested interventions being done (22%).
Our findings suggest that GPs respond to automated, real-time medication safety alerts and care prompts that are specific to individual patient need without the need for intensive PHN input.
初级保健网络（PHN）的任务是支持一般实践中的质量改进。传统的方法既耗费人力，又缺乏影响力的衡量。我们旨在衡量一般从业者（GP）在护理点对计算机决策支持的反应率。
黄金海岸 PHN 开发了一个决策支持工具，以提供实时药物安全警报和干预措施提示，并记录 80 家全科诊所中 519000 名患者的 GP 干预措施。
从 2020 年 7 月至 2021 年 6 月，共有 3153 名患者触发了 2328 次警报，其中 1250 次建议的干预措施得到实施（40%）。从 2021 年 1 月至 2021 年 6 月，在 17398 名患者就诊期间触发了 19019 次提示，其中 5444 次建议的干预措施得到实施（22%）。
我们的发现表明，在不需要密集 PHN 投入的情况下，全科医生会对针对个别患者需求的自动化实时药物安全警报和护理提示做出反应。
