ArticleBMC public health2017
Reducing waiting time and raising outpatient satisfaction in a Chinese public tertiary general hospital-an interrupted time series study.
Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.
- Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review.BMJ global health · 2020Pooled it
- How to adjust the expected waiting time to improve patient's satisfaction?BMC health services research · 2023Trial
- Real-Time Physical Activity Self-Monitoring in Patients Hospitalized for Cardiology Care: Interrupted Time Series Analysis.JMIR cardio · 2026Article
- Behavior-aware deep reinforcement learning for multi-objective outpatient scheduling optimization.Scientific reports · 2026Article
- Is wait a hard word for the patient? The impact of waiting time on revisit decisions in patients with respiratory infectious diseases in the post-epidemic era - findings from fever clinics in China.BMC health services research · 2026Article
- Outpatients' endorsement of societal recognition and respect for healthcare professionals in China's tertiary public hospitals: a national multicenter cross-sectional study.Frontiers in public health · 2026Article
- Patient-Centered Outpatient Process Optimization System Based on Intelligent Guidance in a Large Tertiary Hospital in China: Implementation Report.JMIR medical informatics · 2025Article
- Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study.Journal of medical Internet research · 2025Article
- Impact of expected waiting time on pediatric outpatient satisfaction: a behavioral experiment study.BMC health services research · 2025Article
- Assessing Patient Satisfaction with Hospital Services: Perspectives from Bihor County Emergency Hospital, Romania.Healthcare (Basel, Switzerland) · 2025Article
- The budget impact analysis of nicotine replacement therapy among patients who smoke tobacco and have mental illness in South Africa and the implications.BMC health services research · 2025Article
- Comprehensive promotion of drug traceability codes in China in 2025: challenges and solutions for tertiary outpatient pharmacists.Frontiers in pharmacology · 2025Article
- Exploring experiences and perspectives of patients on hypertension management in Southern Ethiopia: a phenomenological study.BMC health services research · 2024Article
- Evolution of the "Internet Plus Health Care" Mode Enabled by Artificial Intelligence: Development and Application of an Outpatient Triage System.Journal of medical Internet research · 2024Article
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- Utilization of Proximate Healthcare Facilities and Children's Wait Times in Senegal: An IV-Tobit Analysis.International journal of environmental research and public health · 2023Article
- Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study.JMIR medical informatics · 2023Article
- Successes and challenges towards improving quality of primary health care services: a scoping review.BMC health services research · 2023Article
- Experiences of patients on cancer treatment regarding decentralization of oncology services at a tertiary hospital in the Eastern Cape.BMC cancer · 2023Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is globally agreed that a well-designed health system deliver timely and convenient access to health services for all patients. Many interventions aiming to reduce waiting times have been implemented in Chinese public tertiary hospitals to improve patients' satisfaction. However, few were well-documented, and the effects were rarely measured with robust methods.
methodsWe conducted a longitudinal study of the length of waiting times in a public tertiary hospital in Southern China which developed comprehensive data collection systems. Around an average of 60,000 outpatients and 70,000 prescribed outpatients per month were targeted for the study during Oct 2014-February 2017. We analyzed longitudinal time series data using a segmented linear regression model to assess changes in levels and trends of waiting times before and after the introduction of waiting time reduction interventions. Pearson correlation analysis was conducted to indicate the strength of association between waiting times and patient satisfactions. The statistical significance level was set at 0.05.
resultsThe monthly average length of waiting time decreased 3.49 min (P = 0.003) for consultations and 8.70 min (P = 0.02) for filling prescriptions in the corresponding month when respective interventions were introduced. The trend shifted from baseline slight increasing to afterwards significant decreasing for filling prescriptions (P =0.003). There was a significant negative correlation between waiting time of filling prescriptions and outpatient satisfaction towards pharmacy services (r = -0.71, P = 0.004).
conclusionsThe interventions aimed at reducing waiting time and raising patient satisfaction in Fujian Provincial Hospital are effective. A long-lasting reduction effect on waiting time for filling prescriptions was observed because of carefully designed continuous efforts, rather than a one-time campaign, and with appropriate incentives implemented by a taskforce authorized by the hospital managers. This case provides a model of carrying out continuous quality improvement and optimizing management process with the support of relevant evidence.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.