Innovation in internet plus pharmaceutical services model in the health 4.0 context: Evidence from a repeated cross-sectional study

IF 12.9 1区 管理学 Q1 BUSINESS
Runsheng Xie , Hui Li , Haoyang Fu , Ping Xia , Baifa Ouyang , Hongbin Shi
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Abstract

With the gradual instituted of the separation of dispensing from prescribing policy and the rise of online drug purchasing, an internet plus pharmaceutical services (IPPS) model has emerged. To explore its value, we conducted a repeated cross-sectional study in a regional central pharmacy and a tertiary comprehensive hospital, from October 2016 to December 2020. The study collected over 270 thousand outpatient prescriptions using the IPPS model and >2.4 million outpatient prescriptions using the traditional pharmaceutical services (TPS) model during the same time period, for a total of 17 quarters. Benefits for service providers and recipients were assessed and analyzed using indicators such as satisfaction, waiting time, and service quality. Results showed that the adoption rate of the IPPS model increased rapidly with higher patient satisfaction than the TPS model (99.1 % vs. 96.6 %, P < 0.001). Using the IPPS model, 20.8 min of waiting time can be saved for each outpatient, resulting in a total time cost savings of 166 million CNY. The IPPS model demonstrates significant advantages over the TPS model in terms of improving patient satisfaction and reducing waiting times, while meeting the safety, quality, efficiency and effectiveness requirements of the pharmaceutical services industry in the long term.
健康4.0背景下的互联网+医药服务模式创新:来自重复横断面研究的证据
随着医药分开政策的逐步实施和网上购药的兴起,互联网+医药服务(IPPS)模式应运而生。为探索其价值,我们于 2016 年 10 月至 2020 年 12 月在一家地区中心药房和一家三级综合医院进行了重复横断面研究。该研究在同一时期收集了超过 27 万份使用 IPPS 模式的门诊处方和 240 万份使用传统医药服务(TPS)模式的门诊处方,共计 17 个季度。通过满意度、等待时间和服务质量等指标对服务提供者和接受者的收益进行了评估和分析。结果显示,与 TPS 模式相比,IPPS 模式的采用率增长迅速,患者满意度更高(99.1% 对 96.6%,P < 0.001)。使用 IPPS 模式,每位门诊病人可节省 20.8 分钟的候诊时间,节省的时间成本共计 1.66 亿元人民币。与 TPS 模式相比,IPPS 模式在提高患者满意度和减少候诊时间方面具有显著优势,同时还能长期满足医药服务行业对安全、质量、效率和效益的要求。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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