Regula Mais Brasil Hospital Sírio-Libanês, Rua Barata Ribeiro,142, 01308-000, São Paulo, SP, Brazil.
Ministry of Health, Esplanada dos Ministérios, Bloco G, 3º Andar, 70058-900, Brasília, Distrito Federal, Brazil.
BMC Health Serv Res. 2021 Sep 25;21(1):1012. doi: 10.1186/s12913-021-07028-5.
Management of patient flow within a healthcare network, allowing equitable and qualified access to healthcare, is a major challenge for universal health systems. Implementation of telehealth strategies to support referral management has been shown to increase primary care resolution and to promote coordination of care. The objective of this study was to assess the impact of telehealth strategies on waiting lists and waiting times for specialized care in Brazil.
Before-and-after study with measures obtained between January 2019 and February 2020. Baseline measurements of waiting lists were obtained immediately before the implementation of a remotely operated referral management system. Post-interventional measurements were obtained monthly, up to six months after the beginning of operation. Data was extracted from the database of the project. General linear models were applied to assess interaction of locality and time over number of cases on waiting lists and waiting times.
At baseline, the median number of cases on waiting lists ranged from 2961 to 12,305 cases. Reductions of the number of cases on waiting lists after six months of operation were observed in all localities. The magnitude of the reduction ranged from 54.67 to 88.97 %. Interaction of time measurements was statistically significant from the second month onward. Median waiting times ranged from 159 to 241 days at baseline. After six months, there was a decrease of 100 and 114 waiting days in two localities, respectively, with reduction of waiting times only for high-risk cases in the third locality.
Adoption of telehealth strategies resulted in the reduction of number of cases on waiting lists. Results were consistent across localities, suggesting that telehealth interventions are viable in diverse settings.
在医疗保健网络中管理患者流量,确保公平和合格地获得医疗保健,是全民健康系统面临的主要挑战。实施远程医疗策略以支持转诊管理已被证明可以提高初级保健的解决率,并促进护理协调。本研究的目的是评估远程医疗策略对巴西专科医疗等待名单和等待时间的影响。
本研究采用了前后对照设计,于 2019 年 1 月至 2020 年 2 月期间进行测量。在远程转诊管理系统实施之前,立即获得等待名单的基线测量数据。干预后测量每月进行一次,持续六个月。数据从项目数据库中提取。应用广义线性模型评估地理位置和时间对等待名单和等待时间的病例数的交互作用。
在基线时,等待名单上的病例中位数范围为 2961 至 12305 例。所有地区在操作六个月后等待名单上的病例数量均有所减少。减少的幅度范围为 54.67%至 88.97%。从第二个月开始,时间测量的交互作用具有统计学意义。基线时等待时间中位数范围为 159 至 241 天。六个月后,两个地区的等待时间分别减少了 100 和 114 天,而第三个地区只有高危病例的等待时间减少。
采用远程医疗策略可减少等待名单上的病例数量。结果在各地区具有一致性,表明远程医疗干预在不同环境中是可行的。