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Background: Hospital Examination Reservation System (HERS) was designed for reducing appointment examination waiting time and enhancing patients' medical satisfaction in China, but implementing HERS would encounter many difficulties. This study would investigate the factors that influence patients' utilization of HERS through UTAUT2, and provide valuable insights for hospital managements to drive the effective implementation of HERS. It is helpful for improving patients' medical satisfaction. Methods: We conducted a survey through the Sojump platform, targeting patients were who have already used HERS. We collected questionnaire information related to factors behavior intention, performance expectancy, and effort expectancy. Subsequently, we employed a structural equation model to analyze the factors influencing patients' utilization of HERS. Results: A total of 394 valid questionnaires were collected. Habit was the main direct positive factor influencing the behavioral intention of HERS (β = 0.593; 95%CI: 0.072, 1.944; P = 0.002), followed by patient innovation (β = 0.269; 95%CI: 0.002, 0.443; P < 0.001), effort expectancy (β = 0.239; 95%CI: -0.022, 0.478; P = 0.048). Patient innovation and facilitating conditions also have an indirect effect on behavioral intention. Perceived privacy exposure has a significantly negative effect on behavioral intention (β=-0.138; 95%CI: -0.225, -0.047; P < 0.001). The above variables explained 56.7% of the variation in behavioral intention. Conclusions: When HERS is implemented in hospitals, managements should arrange volunteers to guide patients to bring up the habit and solve the using difficulties, and managements could invite patients with high innovation to recommend HERS to others, what's more, it is a valid way to retain the old form of appointment to pass the transition period to the new system. HERS utilization and patients' medical satisfaction will be enhanced through the guidance of hospital management means. [ABSTRACT FROM AUTHOR]

Background: The increasing incidence of cancer in China has posed considerable challenges for cancer care delivery systems. This study aimed to determine the general population's preferences for cancer care, to provide evidence for building a people‐centered integrated cancer care system. Methods: We conducted a discrete choice experiment that involved 1,200 participants in Shandong Province. Individuals were asked to choose between cancer care scenarios based on the type and level of hospitals, with various out‐of‐pocket costs, waiting time, and contact working in the hospitals. Individual preferences, willingness to pay, and uptake rate were estimated using a mixed‐logit model. Results: This study included 848 respondents (70.67%). Respondents preferred county hospitals with shorter hospitalization waiting times and contact working in hospitals. Compared to the reference levels, the three highest willingness to pay values were related to waiting time for hospitalization (¥97,857.69–¥145411.70–¥212,992.10/$14512.70–$21565.16–$31587.61), followed by the county‐level hospital (¥32,545.13/$4826.58). The preferences of the different groups of respondents were diverse. Based on a county‐level general hospital with contact in the hospital, 50% out‐of‐pocket costs and a waiting time of 15 days, the probability of seeking baseline care was 0.37. Reducing the waiting time from 15 to 7, 3, and 0 days, increases the probability of choosing a county‐level hospital from 0.37 to 0.58, 0.64, and 0.70, respectively. Conclusions: This study suggests that there is a substantial interest in attending county‐level hospitals and that reducing hospitalization waiting time is the most effective measure to increase the probability of seeking cancer care in county‐level hospitals. [ABSTRACT FROM AUTHOR]

The ongoing coronavirus disease 2019 (COVID-19) pandemic poses a huge threat to global public health. Motivated by China's experience of using Fangcang shelter hospitals (FSHs) to successfully combat the epidemic in its initial stages, we present a two-stage delay model considering the average waiting time of patients' admission to study the impact of hospital beds and centralized quarantine on mitigating and controlling of the outbreak. We compute the basic reproduction number in terms of the hospital resources and perform a sensitivity analysis of the average waiting times of patients before admission to the hospitals. We conclude that, while designated hospitals save lives in severely infected individuals, the FSHs played a key role in mitigating and eventually curbing the epidemic. We also quantified some key epidemiological indicators, such as the final size of infections and deaths, the peak height and its timing, and the maximum occupation of beds in FSHs. Our study suggests that, for a jurisdiction (region or country) still struggling with COVID-19, when possible, it is essential to increase testing capacity and use a centralized quarantine to massively reduce the severity and magnitude of the epidemic that follows. [ABSTRACT FROM AUTHOR]

Day surgery scheduling allocates hospital resources to day surgical cases and decides on the time to perform the surgeries in the day surgery center (DSC). Based on the day surgery service process of large public hospitals in China, we found that the service efficiency of the process depends on the utilization of hospital resources efficiently and could be optimized through day surgery scheduling. We described it as a flexible flow shop owing to the three-station nature of surgery. Allocating all types of hospital resources to the three stations and determining the length of time for each stage during surgery are crucial to improving the efficiency of DSC. This paper integrates a three-station job shop scheduling problem (JSSP) into the day surgery scheduling and optimization problem. The JSSP was formulated as a mixed-integer linear programming model, and the elicitation of the model for scheduling surgeries with different priorities in the DSC is discussed. The model illustrated a case study of the DSC within West China Hospital (WCH). Numerical experiments based on the genetic algorithm design were conducted. Compared to the other optimization strategies, we proposed that the three-station job shop scheduling strategy (TSJS) could not only improve the efficiency and reduce the waiting time of the patients of the DSC in large public hospitals in China but also allow for timely scheduling adjustments during the advent of emergency surgeries. [ABSTRACT FROM AUTHOR]

Recent years have seen robust growth in online medical consultation platforms. These platforms allow patients to access various healthcare services provided by doctors (e.g., health assessment, diagnosis, consultation, and supervision). In China, many such platforms allow patients to give small monetary gifts to doctors as an expression of gratitude. The implicit assumption is that expensive gifts influence doctors' medical service and generate conflicts of interest but small gifts do not. However, there is little empirical evidence to support this assumption. In order to fill this gap in the literature, our study investigates whether small gifts from patients impact the quality of service provided to the gift‐givers (i.e., direct effect) and the nongivers (i.e., spillover effect). We examine three aspects of online medical service quality: (i) patient wait time, (ii) the amount of information in doctors' responses, and (iii) the degree of emotional support in doctors' responses. We find that despite the gifts' negligible monetary value, doctors who receive gifts do reciprocate to the gift‐givers by providing them with more timely responses and greater emotional support. Furthermore, after receiving the small gifts, doctors may be slower in responding to nongivers and offer them less emotional support. We also investigate whether these effects (both direct and spillover effects) vary with doctors' backgrounds, including their professional experience and geographic location. Our findings have both theoretical and practical implications for patients, online medical consultation platforms, and healthcare policy makers. [ABSTRACT FROM AUTHOR]

This paper investigates the improvement of the hospitalisation admission process of elective inpatients by delay announcement to free patients from blind and long wait, a phenomenon often observed in top Chinese hospitals. We propose a formal simulation model in which relevant resource requirements during the hospitalisation of a patient are represented by an original ‘multistage treatment model’. Other key components of the formal model include impatience of patients, resource capacities and key performance indicators such as the original concept of waiting time visibility. Through sensitivity analysis of the simulation model, we demonstrate the benefits of delay announcement and the value of our ‘multistage treatment model’. [ABSTRACT FROM PUBLISHER]

Background and Objectives: Due to the inevitability of waiting time for surgery, this problem seems to have become more pronounced since the outbreak of COVID-19, and due to the high incidence of preoperative hydronephrosis in upper urinary tract urothelial carcinoma (UTUC) patients, it is particularly important to explore the impact of preoperative waiting time and hydronephrosis on upper urinary urothelial carcinoma. Methods: 316 patients with UTUC who underwent radical surgery at a high-volume center in China between January 2008 and December 2019 were included in this study. We retrospectively collected the clinicopathologic data from the medical records, including age, sex, smoking history, ECOG performance status (ECOG PS), body mass index (BMI), tumor location and size, number of lesions, T stage, N stage, surgical approach and occurrence of hydronephrosis, lymph node invasion, lymph node dissection, surgical margin, tumor necrosis, infiltrative tumor architecture, lymphovascular invasion and concomitant bladder cancer. Surgical wait time was defined as the interval between initial imaging diagnosis and radical surgery of UTUC. Hydronephrosis was defined as abnormal dilation of the renal pelvis and calyces due to obstruction of the urinary system. Firstly, all patients were divided into short-wait (<31 days), intermediate-wait (31-90 days) and long-wait (>90 days) groups according to the surgical wait time. The clinicopathological characteristics of each group were evaluated and the survival was compared. For patients with hydronephrosis, we subsequently divided them into two groups: short-wait (≤60 days) and long-wait (>60 days) groups according to the surgical wait time. Univariate and multivariate COX regression analysis were performed to evaluate the prognostic risk factor for patients with hydronephrosis. Results: A total of 316 patients with UTUC were included in this study with a median surgical wait time of 22 days (IQR 11-71 days). Of the 316 patients, 173 were classified into the short-wait group (54.7%), 69 into the intermediate-wait group (21.8%) and 74 into the long-wait group (23.5%). The median follow-up time for all patients was 43 months (IQR 28-67months). The median surgical wait times of the short-wait, intermediate-wait and long-wait group were12 days (IQR 8-17days), 42days (IQR 37-65days) and 191days (IQR 129-372days), respectively. The 5-year overall survival (OS) of all patients was 54.3%. The 5-year OS of short-wait, intermediate-wait and long-wait groups were 56.4%, 59.3% and 35.1%, respectively (P=0.045). The 5-year cancer-specific survival (CSS) of short-wait, intermediate-wait and long-wait groups were 65.8%, 70.9% and 39.6%, respectively (P=0.032). In the subgroup analysis, we divided 158 UTUC patients with hydronephrosis into short-wait group (≤60 days) and long-wait group (> 60 days), 120 patients were included in the short-wait group and 38 patients in the long-wait group. The median surgical wait times of the short-wait and long-wait group were 14days (IQR 8-28days) and 174days (IQR 100-369days), respectively. The 5-year OS of long-wait group was significantly lower than the OS of short-wait group (44.2% vs. 55.1%, P =0.023). The 5-year CSS of long-wait and short-wait group were 49.1% and 61.7%, respectively (P=0.041). In multivariate Cox regression analysis of UTUC patients with hydronephrosis, surgical wait time, tumor grade, pathological T stage, and tumor size were independent risk factors for OS and CSS. Lymph node involvement was also a prognostic factor for CSS. Conclusion: For patients with UTUC, the surgical wait time should be limited to less than 3 months. For UTUC patients with hydronephrosis, the OS and CSS of patients with surgical wait time of more than 60 days were relatively shorted than those of patients with surgical wait time of less than 60 days. [ABSTRACT FROM AUTHOR]

The length of waiting time has become an important indicator of the efficiency of medical services and the quality of medical care. Lengthy waiting times for patients will inevitably affect their mood and reduce satisfaction. For patients who are in urgent need of hospitalization, delayed admission often leads to exacerbation of the patient's condition and may threaten the patient's life. We gathered patients' information about outpatient visits and hospital admissions in the Nephrology Department of a large tertiary hospital in western China from January 1st, 2014, to December 31st, 2016, and we used big data-enabled analysis methods, including univariate analysis and multivariate linear regression models, to explore the factors affecting waiting time. We found that gender (P = 0.048), the day of issuing the admission card (Saturday, P = 0.028), the applied period for admission (P < 0.001), and the registration interval (P < 0.001) were positive influencing factors of patients' waiting time. Disease type (after kidney transplantation, P < 0.001), number of diagnoses (P = 0.037), and the day of issuing the admission card (Sunday, P = 0.001) were negative factors. A linear regression model built using these data performed well in the identification of factors affecting the waiting time of patients in the Nephrology Department. These results can be extended to other departments and could be valuable for improving patient satisfaction and hospital service quality by identifying the factors affecting waiting time. [ABSTRACT FROM AUTHOR]

Background: The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China.Methods: We analyzed data from Henan Large Hospitals Patient Satisfaction Survey conducted in the year 2018 and included 630 outpatients. Structural Equation Model (SEM) was used to explore the relationship among evaluation indicators of outpatient satisfaction levels. We used Dynamic Matter-Element Analysis (DMA) to evaluate the status of outpatient satisfaction. Binary Logistic Regression (BLR) was adopted to estimate the impact of personal characteristics towards outpatient satisfaction.Results: The overall score for outpatient satisfaction in large hospitals was 66.28±14.73. The mean outpatient satisfaction scores for normal-large, medium-large, and extra-large hospitals were 63.33±12.12, 70.11±16.10, 65.41±14.67, respectively, and were significantly different (F = 11.953, P < 0.001). Waiting time, doctor-patient communication, professional services, and accessibility for treatment information were shown to have directly positive correlations with outpatient satisfaction (r = 0.42, 0.47, 0.55, 0.46, all P < 0.05). Results from BLR analysis revealed that patients' age and frequency of hospital visits were the main characteristics influencing outpatient satisfaction (P < 0.05).Conclusions: The outpatient satisfaction of large hospitals is moderately low. Hospital managers could shorten the waiting time for outpatients and improve the access to treatment information to improve the satisfaction of outpatients. It is also necessary to enhance service provision for outpatients under the age of 18 as well as the first-time patients. [ABSTRACT FROM AUTHOR]

Background: Many studies suggest that patient satisfaction is significantly negatively correlated with the waiting time. A well-designed healthcare system should not keep patients waiting too long for an appointment and consultation. However, in China, patients spend notable time waiting, and the actual time spent on diagnosis and treatment in the consulting room is comparatively less.Methods: We developed an artificial intelligence (AI)-assisted module and name it XIAO YI. It could help outpatients automatically order imaging examinations or laboratory tests based on their chief complaints. Thus, outpatients could get examined or tested before they went to see the doctor. People who saw the doctor in the traditional way were allocated to the conventional group, and those who used XIAO YI were assigned to the AI-assisted group. We conducted a retrospective cohort study from August 1, 2019 to January 31, 2020. Propensity score matching was used to balance the confounding factor between the two groups. And waiting time was defined as the time from registration to preparation for laboratory tests or imaging examinations. The total cost included the registration fee, test fee, examination fee, and drug fee. We used Wilcoxon rank-sum test to compare the differences in time and cost. The statistical significance level was set at 0.05 for two sides.Results: Twelve thousand and three hundred forty-two visits were recruited, consisting of 6171 visits in the conventional group and 6171 visits in the AI-assisted group. The median waiting time was 0.38 (interquartile range: 0.20, 1.33) hours for the AI-assisted group compared with 1.97 (0.76, 3.48) hours for the conventional group (p < 0.05). The total cost was 335.97 (interquartile range: 244.80, 437.60) CNY (Chinese Yuan) for the AI-assisted group and 364.58 (249.70, 497.76) CNY for the conventional group (p < 0.05).Conclusions: Using XIAO YI can significantly reduce the waiting time of patients, and thus, improve the outpatient service process of hospitals. [ABSTRACT FROM AUTHOR]

Objective: The aims of this study were to investigate and compare patient satisfaction with outpatient care in public secondary and tertiary hospitals in China and to explore the factors affecting patient satisfaction for improving the quality of outpatient care in public hospitals.Methods: This cross-sectional study comprised a sample survey of 11 097 adults in 31 provincial cities in China from February to April 2018. A pretested structured questionnaire was used to collect outpatient experience data through a computer-assisted telephone interviewing system. Patient satisfaction was assessed using nine questions answered on a 4-point Likert scale. Multivariate regression models were employed to examine the relationships of patient satisfaction with outpatient services and healthcare provider level and to identify the factors associated with satisfaction.Results: Patient's overall satisfaction score with outpatient care was 27.3 (SD = 3.8), with lower scores observed in tertiary hospitals than in secondary hospitals (27.3 vs. 27.6, P < 0.05). The domain with the highest satisfaction was 'consulting environment', and the domain with the lowest satisfaction was 'patient waiting time in the hospital'. Patients who went to tertiary hospitals reported lower satisfaction in 'patient waiting time in the hospital', 'medical expenses', 'patient length of treatment time' and 'attitudes of other health workers' than patients who went to secondary hospitals (P < 0.05). In secondary hospitals, no significant difference in patient satisfaction was observed between different sociodemographic categories (P > 0.05). In tertiary hospitals, female and single respondents were more likely to have higher satisfaction (P < 0.05), whereas respondents with high school or junior college degrees were more likely to have lower satisfaction (P < 0.05).Conclusion: The aforementioned results suggested that tertiary hospitals face larger challenges in patient satisfaction with outpatient care than secondary hospitals. Measures must be adopted to improve patient satisfaction with outpatient care in future healthcare reforms. Patient waiting time, medical expenses and treatment duration especially require improvements in tertiary hospitals. [ABSTRACT FROM AUTHOR]

International Medical Graduates (IMGs) contribute to about 23% of the physician workforce in the USA. Certain US-trained IMGs face long wait times for transitioning to a permanent resident status, which limits their ability to work to fullest capacity, especially during a public health emergency. To estimate the number of US-trained IMGs awaiting permanent residency. Data were obtained from National Residency Matching Program (NRMP) to quantify the number of IMGs who secured residency training in the US from 2004 to 2020. Estimates of physician demographics were based on NRMP/ECFMG 2014 match data and Federation of State Medical Boards (FSMB) physician census data. Between 2004 and 2020, a total of 57,160 non-US IMGs who were not US citizens successfully matched to residency training programs. Applicants from India and China were noted to be impacted by delays in adjustment to permanent resident status. Per our estimate, there are between 1,460 and 1,959 US-trained physicians from China currently awaiting permanent residency, with applicants waiting since October 2015, and between 13,250 and 14,230 US-trained physicians from India currently awaiting permanent residency, with applicants waiting since June 2009. The total number of US-trained immigrant physicians in active practice awaiting permanent residency to the USA is estimated to be ranging between 14,710 and 16,189. [ABSTRACT FROM AUTHOR]

Blood centers in large hospitals in China are facing serious problems, including complex patient queues and inflexible nursing schedules. This study is aimed at developing a flexible scheduling method for blood center nurses. By systematically analyzing the constraints that affect scheduling, a flexible scheduling model is established based on queuing theory and mixed integer programming. This combined model can reasonably determine the number of nurses required during a given working period and flexibly arrange nursing schedules while ensuring sufficient rest periods for individual nurses. Results of numerical studies conducted using data from a large hospital in China show a significant improvement in patient waiting time performance metrics over the hospital's current practice. In addition, the nurses' workloads and rest periods are well balanced, indicating that the proposed method can effectively and flexibly arrange nursing shifts in blood centers. [ABSTRACT FROM AUTHOR]

Background: In China, a long waiting time for registration is a common occurrence in many tertiary hospitals. This study aimed to analyze the effects of a comprehensive reservation service for non-emergency registration on appointment registration rate, patient waiting time, patient satisfaction and outpatient volume at the Guangzhou Women and Children's Medical Center.Methods: This was a cross-sectional study. This study investigated the effects of a comprehensive reservation service for non-emergency registration in Guangzhou Women and Children's Medical Center in China starting in October 2015. In total, 2194 patients completed a satisfaction survey administered by the Guangdong Situation Research Center. The content of the questionnaire consisted of six aspects: general impression, service attitude, service quality, hospital environment, price perception and medical ethics. A Likert 5-point rating scale was used in the questionnaire; answers were classified as "very satisfied", "relatively satisfied", "neutral", "unsatisfied" and "very unsatisfied". The method of application was paper-based. T-tests were used to compare the sample means, and chi-square tests were used to compare the rates. A multiple-test procedure was performed to evaluate the differences in the reservation rates during a 12-month period.Results: After the implementation of the comprehensive reservation service for non-emergency registration in our hospital, which has an annual outpatient volume of approximately 4 million, the monthly appointment registration rate increased from (34.95 ± 2.91)% to(89.13 ± 3.12)%,P < 0.01. The patient waiting time was significantly reduced (P < 0.01), and the proportion of patients who believed that the waiting time required improvement was decreased significantly (P < 0.01). Moreover, the third-party evaluation result of outpatient satisfaction significantly improved (P < 0.01). The total hospital outpatient volume decreased(P < 0.01). The outpatient volume of the Department of General Pediatrics decreased.Conclusion: The implementation of the comprehensive reservation service for non-emergency registration in the hospital shortened patient waiting time and improved patient satisfaction, and the outpatient volume was effectively controlled. These results indicated that this program obtained the desired results in a Grade 3A hospital in China. [ABSTRACT FROM AUTHOR]

The medical grid including hospitals at all levels is a new hierarchical diagnosis and treatment system. It is assumed to provide health services for residents in a certain area, allowing free referral of patients, so as to effectively utilize medical resources. Therefore, from the perspective of the government, the key issue is how to divide the medical grid in a robust and balanced manner. In this paper, various deterministic factors, such as hospital level, location and department, as well as uncertain factors, including patient distribution or population density, are considered in decision-making. To solve this problem, a dual-clustering algorithm based on K-means and K-medoids (DCKK) is developed with local search methods to minimize the average patient waiting and travelling time. The experimental results show that DCKK algorithm can generate better and more robust grid partition solutions than the existing mainstream algorithms in different scenarios. In addition, the rules between the number of medical grids and the number of patients, as well as the hospital sharing between medical grids, are also studied. Finally, a real medical grid partition case of Ji'nan, China, with forty hospitals in four urban areas, is studied, and five medical grids are recommended. • Develop a robust dual-clustering algorithm associated with six local search methods for medical grid partition. • Patient referral can improve the utilization of medical resources and shorten the patients' waiting and travelling time. • Investigate the law between the number of medical grids and the number of patients. • The sharing and marginal hospitals from different grids can significantly reduce patient waiting and travelling time. [ABSTRACT FROM AUTHOR]

Aims: To determine the risk of liver injury associated with the use of different intravenous lipid emulsions (LEs) in large populations in a real-world setting in China. Methods: A prescription sequence symmetry analysis was performed using data from 2015 Chinese Basic Health Insurance for Urban Employees. Patients newly prescribed both intravenous LEs and hepatic protectors within time windows of 7, 14, 28, 42, and 60 days of each other were included. The washout period was set to one month according to the waiting-time distribution. After adjusting prescribing time trends, we quantify the deviation from symmetry of patients initiating LEs first and those initiating hepatic protectors first, by calculating adjusted sequence ratios (ASRs) and relevant 95% confidence intervals. Analyses were further stratified by age, gender, and different generations of LEs developed. Results: In total, 416, 997, 1,697, 2,072, and 2,342 patients filled their first prescriptions with both drugs within 7, 14, 28, 42, and 60 days, respectively. Significantly increased risks of liver injury were found across all time windows, and the strongest effect was observed in the first 2 weeks [ASR 6.97 (5.77–8.42) ∼ 7.87 (6.04–10.61)] in overall patients. In subgroup analyses, female gender, age more than 60 years, and soybean oil-based and alternative-LEs showed higher ASRs in almost all time windows. Specially, a lower risk for liver injury was observed in the first 14 days following FO-LEs administration (ASR, 3.42; 95% CI, 0.81–14.47), but the risk started to rise in longer time windows. Conclusion: A strong association was found between LEs use and liver injury through prescription sequence symmetry analysis in a real-world setting, which aligns with trial evidence and clinical experience. Differences revealed in the risks of liver injury among various LEs need further evaluation. [ABSTRACT FROM AUTHOR]

The authors argue that medical informatics has assisted large urban hospitals in China and can assist in further medical reforms. Topics include improvement of physician-patient communication, the impact of increasing efficiency on patient wait times, and a mobile application (app) for outpatient tracking.