Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide.
Br J Gen Pract. 2023 Feb 23;73(728):e220-e230. doi: 10.3399/BJGP.2022.0067. Print 2023 Mar.
Health emergencies disproportionally affect vulnerable populations. Digital tools can help primary care providers find, and reach, the right patients.
To evaluate whether digital interventions delivered directly to GPs' clinical software were more effective at promoting primary care appointments during the COVID-19 pandemic than interventions delivered by post.
Real-world, non-randomised, interventional study involving GP practices in all Australian states.
Intervention material was developed to promote care coordination for vulnerable older veterans during the COVID-19 pandemic, and sent to GPs either digitally to the clinical practice software system or in the post. The intervention material included patient-specific information sent to GPs to support care coordination, and education material sent via post to veterans identified in the administrative claims database. To evaluate the impact of intervention delivery modalities on outcomes, the time to first appointment with the primary GP was measured; a Cox proportional hazards model was used, adjusting for differences and accounting for pre-intervention appointment numbers.
The intervention took place in April 2020, during the first weeks of COVID-19 social distancing restrictions in Australia. GPs received digital messaging for 51 052 veterans and postal messaging for 26 859 veterans. The digital group was associated with earlier appointments (adjusted hazard ratio 1.38 [1.34 to 1.41]).
Data-driven digital solutions can promote care coordination at scale during national emergencies, opening up new perspectives for precision public-health initiatives.
健康突发事件对弱势群体的影响不成比例。数字工具可以帮助基层医疗服务提供者找到并联系到合适的患者。
评估直接向全科医生的临床软件提供数字干预措施是否比通过邮件提供的干预措施更能在 COVID-19 大流行期间促进基层医疗预约。
涉及澳大利亚所有州的全科医生实践的真实世界、非随机、干预性研究。
开发了干预材料,以在 COVID-19 大流行期间促进弱势老年退伍军人的护理协调,并通过数字方式发送给全科医生,发送到临床实践软件系统或通过邮件发送。干预材料包括发送给全科医生以支持护理协调的特定于患者的信息,以及通过邮件发送给在行政索赔数据库中确定的退伍军人的教育材料。为了评估干预措施交付方式对结果的影响,测量了与初级全科医生首次预约的时间;使用 Cox 比例风险模型进行调整,以考虑差异并考虑干预前预约次数。
干预于 2020 年 4 月进行,正值澳大利亚 COVID-19 社交距离限制的第一周。全科医生收到了 51052 名退伍军人的数字信息和 26859 名退伍军人的邮件信息。数字组与更早的预约相关(调整后的危险比为 1.38 [1.34 至 1.41])。
数据驱动的数字解决方案可以在国家紧急情况下大规模促进护理协调,为精准公共卫生举措开辟新的视角。