Impact of digital self-scheduling on operations management and patient experience in hospital outpatient settings: a systematic review and meta-analysis

Author:

Zheng Miao1,Li Teng2,Wang Hongqian1,Zhong Hongling1,Zhou Haizhou1,Fan Yaojun1,Peng Jing1,Wang Fang1,Lin Li3,Wang Lihua1

Affiliation:

1. The First Affiliated Hospital of Army Medical University

2. Chongqing City Hospital of Traditional Chinese Medicine

3. Army Medical University

Abstract

Abstract

Digital self-scheduling (DSS) adopted for outpatient appointment system improves efficiency and quality of services, but how it contributes to improving outpatient care delivery in hospital settings remains unverified. To evaluate the impact of DSS on operations management and patient experience in hospital outpatient services. Studies published in PubMed, Embase, Web of Science, EBSCO, Science Direct, Scopus, and IEEE Xplore were searched up to June 2022. Studies describe DSS intervention for accessing outpatient services in hospital settings, analysing its effectiveness on operations management or patient experience compared with traditional scheduling methods/or not intervention, were included. PRISMA and SWiM guidelines were used to report the study. The ROBINS-I and GRADE criteria were used for rating risk of bias and quality of evidence. Meta-analysis was conducted for combinable results from at least two studies, performed by RevMan 5.4. A total of 18 observational studies were included. Compared with conventional methods, DSS resulted in lower no-show rates (OR = 0.70, 95% confidence interval (CI): 0.57–0.85, p < 0.001), increased scheduling efficiency (OR = 4.94, 95% CI: 4.54–5.38, p < 0.001), and improved patient satisfaction (OR = 2.83, 95% CI: 2.20–3.64, p < 0.001). Younger age (MD -9.07, 95%CI: -14.75 to -3.38, p = 0.002) and higher education (OR = 0.85, 95% CI: 0.80–0.91, p < 0.001) were observed in DSS population. Patient acceptance of DSS increased alongside the advancement of digital technologies and dominated by the ease of use. This study suggested the use of DSS for improving hospital outpatient services, but there is insufficient evidence for waiting time and other outcomes of outpatient operations, so future research is warranted.

Publisher

Research Square Platform LLC

Reference57 articles.

1. Global strategy on digital health 2020–2025. Geneva: World Health Organization; 2021. Report No.: Licence: CC BY-NC-SA 3.0 IGO.

2. Outpatient appointment systems in healthcare: A review of optimization studies;Ahmadi-Javid A;European Journal of Operational Research,2017

3. Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review;Woodcock EW;J Med Internet Res,2022

4. Improving Hospital Outpatient Clinics Appointment Schedules by Prediction Models;Babayoff O;Journal of Medical Systems,2022

5. Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review;Ala A;J Healthc Eng,2022

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