Trial reportBMC medical informatics and decision making2014
Questionnaire survey about use of an online appointment booking system in one large tertiary public hospital outpatient service center in China.
Trial report in BMC medical informatics and decision making, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Current status, challenges and future development of self-service appointment platforms in hospital radiology departments in China: a narrative review.Frontiers in digital health · 2026Review
- Stakeholders' experiences, perceptions and satisfaction with an electronic appointment system: a qualitative content analysis.BMC health services research · 2025Article
- Investigating Patient Use and Experience of Online Appointment Booking in Primary Care: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Research on outpatient capacity planning combining lean thinking and integer linear programming.BMC medical informatics and decision making · 2023Article
- Article
- Implementation of online video consultations in a regional health network: a management feasibility analysis from an orthopedic perspective.BMC health services research · 2022Article
- The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China.International journal of environmental research and public health · 2022Article
- COVID-somnia: Sleep disturbance among Indian nurses during COVID-19 pandemic.Journal of family medicine and primary care · 2022Article
- Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review.Journal of medical Internet research · 2022Article
- Using artificial intelligence to reduce queuing time and improve satisfaction in pediatric outpatient service: A randomized clinical trial.Frontiers in pediatrics · 2022Article
- Determinants of Satisfaction With Hospital Online Appointment Service Among Older Adults During the COVID-19 Pandemic: A Cross-Sectional Study.Frontiers in public health · 2022Article
- Barriers and Facilitators to Automated Self-Scheduling: Consensus from a Delphi Panel of Key Stakeholders.Perspectives in health information managemen · 2022Article
- Perceived Needs Versus Predisposing/Enabling Characteristics in Relation to Internet Cancer Information Seeking Among the US and Chinese Public: Comparative Survey Research.Journal of medical Internet research · 2021Article
- Effective Analysis of Inpatient Satisfaction: The Random Forest Algorithm.Patient preference and adherence · 2021Article
- The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality.International journal of environmental research and public health · 2020Article
- Determinants of Maternal Behavior of Mobile Phone Use during Pregnancy.Journal of healthcare engineering · 2020Article
- Public Perception on Healthcare Services: Evidence from Social Media Platforms in China.International journal of environmental research and public health · 2019Article
- Features of Online Hospital Appointment Systems in Taiwan: A Nationwide Survey.International journal of environmental research and public health · 2019Article
- A survey of physicians' experience and awareness of institutional provisions designed to foster patient engagement in KSA.Journal of Taibah University Medical Sciences · 2018Article
- Pictograms to Provide a Better Understanding of Gastroesophageal Reflux Symptoms in Chinese Subjects.Gastroenterology research and practice · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs a part of nationwide healthcare reforms, the Chinese government launched web-based appointment systems (WAS) to provide a solution to problems around outpatient appointments and services. These have been in place in all Chinese public tertiary hospitals since 2009.
methodsQuestionnaires were collected from both patients and doctors in one large tertiary public hospital in Shanghai, China.Data were analyzed to measure their satisfaction and views about the WAS.
resultsThe 1000 outpatients randomly selected for the survey were least satisfied about the waiting time to see a doctor. Even though the WAS provided a much more convenient booking method, only 17% of patients used it. Of the 197 doctors surveyed, over 90% thought it was necessary to provide alternative forms of appointment booking systems for outpatients. However, about 80% of those doctors who were not associated professors would like to provide an 'on-the-spot' appointment option, which would lead to longer waits for patients.
conclusionsPatients were least satisfied about the waiting times. To effectively reduce appointment-waiting times is therefore an urgent issue. Despite the benefits of using the WAS, most patients still registered via the usual method of queuing, suggesting that hospitals and health service providers should promote and encourage the use of the WAS. Furthermore, Chinese health providers need to help doctors to take others' opinions or feedback into consideration when treating patients to minimize the gap between patients' and doctors' opinions. These findings may provide useful information for both practitioners and regulators, and improve recognition of this efficient and useful booking system, which may have far-reaching and positive implications for China's ongoing reforms.
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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.