López Seguí Francesc, Walsh Sandra, Solans Oscar, Adroher Mas Cristina, Ferraro Gabriela, García-Altés Anna, García Cuyàs Francesc, Salvador Carulla Luis, Sagarra Castro Marta, Vidal-Alaball Josep
TIC Salut Social, Ministry of Health, Barcelona, Spain.
Centre de Recerca en Economía de la Salut, Pompeu Fabra University, Barcelona, Spain.
J Med Internet Res. 2020 Sep 17;22(9):e19149. doi: 10.2196/19149.
Over the last decade, telemedicine services have been introduced in the public health care systems of several industrialized countries. In Catalonia, the use of eConsulta, an asynchronous teleconsultation service between primary care professionals and citizens in the public health care system, has already reached 1 million cases. Before the COVID-19 pandemic, the use of eConsulta was growing at a monthly rate of 7%, and the growth has been exponential from March 15, 2020 to the present day. Despite its widespread usage, there is little qualitative evidence describing how this tool is used.
The aim of this study was to annotate a random sample of teleconsultations from eConsulta, and to evaluate the level of agreement between health care professionals with respect to the annotation.
Twenty general practitioners retrospectively annotated a random sample of 5382 cases managed by eConsulta according to three aspects: the type of interaction according to 6 author-proposed categories, whether the practitioners believed a face-to-face visit was avoided, and whether they believed the patient would have requested a face-to-face visit had eConsulta not been available. A total of 1217 cases were classified three times by three different professionals to assess the degree of consensus among them.
The general practitioners considered that 79.60% (4284/5382) of the teleconsultations resulted in avoiding a face-to-face visit, and considered that 64.96% (3496/5382) of the time, the patient would have made a face-to-face visit in the absence of a service like eConsulta. The most frequent uses were for management of test results (26.77%, 1433/5354), management of repeat prescriptions (24.30%, 1301/5354), and medical enquiries (14.23%, 762/5354). The degree of agreement among professionals as to the annotations was mixed, with the highest consensus demonstrated for the question "Has the online consultation avoided a face-to-face visit?" (3/3 professionals agreed 67.95% of the time, 827/1217), and the lowest consensus for the type of use of the teleconsultation (3/3 professionals agreed 57.60% of the time, 701/1217).
This study shows the ability of eConsulta to reduce the number of face-to-face visits for 55% (79% × 65%) to 79% of cases. In comparison to previous research, these results are slightly more pessimistic, although the rates are still high and in line with administrative data proxies, showing that 84% of patients using teleconsultations do not make an in-person appointment in the following 3 months. With respect to the type of consultation performed, our results are similar to the existing literature, thus providing robust support for eConsulta's usage. The mixed degree of consensus among professionals implies that results derived from artificial intelligence tools such as message classification algorithms should be interpreted in light of these shortcomings.
在过去十年中,远程医疗服务已被引入几个工业化国家的公共卫生保健系统。在加泰罗尼亚,公共卫生保健系统中初级保健专业人员与市民之间的异步远程会诊服务eConsulta的使用量已达100万例。在2019冠状病毒病大流行之前,eConsulta的使用量每月增长7%,自2020年3月15日至今呈指数级增长。尽管其使用广泛,但描述该工具使用方式的定性证据很少。
本研究旨在对eConsulta的远程会诊随机样本进行标注,并评估医疗保健专业人员在标注方面的一致程度。
20名全科医生根据三个方面对eConsulta管理的5382例病例的随机样本进行回顾性标注:根据作者提出的6类划分互动类型、医生是否认为避免了面对面就诊,以及他们是否认为如果没有eConsulta患者会要求面对面就诊。共有1217例病例由三名不同的专业人员进行了三次分类,以评估他们之间的共识程度。
全科医生认为79.60%(4284/5382)的远程会诊避免了面对面就诊,并认为64.96%(3496/5382)的情况下,如果没有eConsulta这样的服务患者会进行面对面就诊。最常见的用途是检测结果管理(26.77%,1433/5354)、重复处方管理(24.30%,1301/5354)和医疗咨询(14.23%,762/5354)。专业人员在标注方面的一致程度不一,对于“在线会诊是否避免了面对面就诊?”这一问题达成的共识最高(67.95%的时间内三名专业人员都达成一致,827/1217),而对于远程会诊的使用类型达成的共识最低(57.60%的时间内三名专业人员都达成一致,701/1217)。
本研究表明,eConsulta能够使55%(79%×65%)至79%的病例减少面对面就诊次数。与之前的研究相比,这些结果略显悲观,尽管比例仍然很高且与行政数据代理相符,表明84%使用远程会诊服务的患者在接下来的3个月内没有进行面对面预约。关于所进行的会诊类型,我们的结果与现有文献相似,从而为eConsulta的使用提供了有力支持。专业人员之间的共识程度不一意味着,诸如消息分类算法等人工智能工具得出的结果应根据这些不足之处进行解读。