A data-driven newsvendor model for elective-emergency admission control under uncertain inpatient bed capacity.

Objective: Elective-emergency admission control referred to allocating available inpatient bed capacity between elective and emergency hospitalization demand. Existing approaches for admission control often excluded several complex factors when making decisions, such as uncertain bed capacity and unknown true probability distributions of patient arrivals and departures. We aimed to create a data-driven newsvendor framework to study the elective-emergency admission control problem to achieve bed operational efficiency and effectiveness.

The mutual overlapping impact of stress and infection on mental health problems in adolescents and youths during and after COVID-19 pandemic in China.

Background: It is unclear about the mutual impact of COVID-19 related psychological stress and infection on mental health of adolescent and youth students. This study aimed to explore the mutual impact of COVID-19 related psychological stress and infection on mental health problems among students.

Methods: This study was conducted from December 14, 2022 to February 28, 2023 in Sichuan, China.

Academic performance and mental health among Chinese middle and high school students after the lifting of COVID-19 restrictions.

Background: Although the COVID-19 pandemic has greatly changed the way students studied, it is still unknown about the impact of the COVID-19 pandemic on students' academic performance and mental health.

Objective: To explore the academic performance and mental health status of middle and high school students after the lifting of COVID-19 restrictions in China.

Methods: An online survey was conducted in Sichuan province, China from Dec 14, 2022 to Feb 28, 2023.

The association between air pollutants and hospitalizations for asthma: an evidence from Chengdu, China.

Background: Exposure to air pollutants has been linked to the exacerbation of asthma, and it has become a risk to human welfare and health throughout the globe. Previous works did not achieve a systematic study by considering interactive effects of age, gender, and meteorological factors on the exposure-effect relationship between air pollutants and asthma. We aimed to quantitatively investigate the effects of air pollutants on hospitalizations for asthma in Chengdu, China.

Big Data-Enabled Analysis of Factors Affecting Patient Waiting Time in the Nephrology Department of a Large Tertiary Hospital.

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.

Gastrinoma in multiple endocrine neoplasia type 1 after total pancreatectomy: A case report.

Rationale: Surgery for patients with multiple endocrine neoplasia type 1(MEN-1) related gastrinoma remains controversial and total pancreatectomy (TP) has rarely been performed. We reported a case of patient with MEN-1 related gastrinoma treated by TP.

Patient Concerns: A 46-year-old female was admitted to our hospital due to abdominal distension and diarrhea for 2 years.

A core collection of pan-schizophrenia genes allows building cohort-specific signatures of affected brain.

To investigate whether pan-schizophrenia genes could be leveraged for building cohort-specific signatures reflecting the functioning of the affected brain, we first collected 1,518 schizophrenia-related genes upon analysis of 12,316 independent peer-reviewed literature sources. More than half of these genes have been reported in at least 3 independent studies, and a majority (81.4%) were enriched within 156 functional pathways (p-values < 1e-15).

A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China.

Beds are key, scarce medical resources in hospitals. The bed occupancy rate (BOR) amongst different departments within large tertiary hospitals is very imbalanced, a situation which has led to problems between the supply of and the demand for bed resources. This study aims to balance the utilization of existing beds in a large tertiary hospital in China.

Using machine-learning methods to support health-care professionals in making admission decisions.

Background: Large tertiary hospitals usually face long waiting lines; patients who want to receive hospitalization need to be screened in advance. The patient admission screening process involves a health-care professional ranking patients by analyzing registration information.

Objective: The purpose of this study was to develop a machine-learning approach to screening, using historical data and the experience of health-care professionals to develop a set of screening rules to help health-care professionals prioritize patient needs automatically.

Modeling the Length of Stay of Respiratory Patients in Emergency Department Using Coxian Phase-Type Distributions With Covariates.

Variability and unpredictability are typical features of emergency departments (EDs) where patients randomly arrive with diverse conditions. Patient length of stay (LOS) represents the consumption level of hospital resources, and it is positively skewed and heterogeneous. Both accurate modeling of patient ED LOS and analysis of potential blocking causes are especially useful for patient scheduling and resource management.

Time-Series Approaches for Forecasting the Number of Hospital Daily Discharged Inpatients.

For hospitals where decisions regarding acceptable rates of elective admissions are made in advance based on expected available bed capacity and emergency requests, accurate predictions of inpatient bed capacity are especially useful for capacity reservation purposes. As given, the remaining unoccupied beds at the end of each day, bed capacity of the next day can be obtained by examining the forecasts of the number of discharged patients during the next day. The features of fluctuations in daily discharges like trend, seasonal cycles, special-day effects, and autocorrelation complicate decision optimizing, while time-series models can capture these features well.

[Negative symptoms predict the improvement of social functioning of patients with schizophrenia].

Objective: To identify predictive factors associated with the improvement of social functioning of schizophrenia patients in a community.

Methods: 101 schizophrenia patients undergoing community rehabilitation were assessed with the Positive and Negative Syndrome Scale (PANSS), Personal and Social Performance Scale (PSP), Self-Esteem Scale (SES), Family Function Questionnaire (APGAR), and the World Health Organization Disability Assessment Scale II (WHODAS-II) twice 6 months apart. Pearson correlation and hierarchical multiple linear regression analyses were performed to identify the influencing and predictive factors associated with the improvement of social functioning.

[Clinical analysis of patients with acute and severe mental disorders complicated with hypokalemia].

Objective: To study the occurrence and characteristics of hypokalemia to the patients with acute and severe mental disorders, and analyze its influencing factors.

Methods: There were 815 patients with actue and severe mental disorder admitted into our psychiatry department from June 2009 to May 2010, who all received the examination of potassium concentration routinely at the admission. The patients were divided into hypokalemia group and non-hypokalemia group, and the clinical information were surveyed and compared between the two groups to find out the influencing factors of hypokalemia.

[Telephone follow-up improves quality of life of postoperative patients with severe acute pancreatitis].

Objective: To evaluate the impact of telephone follow-up on the quality of life of postoperative patients with severe acute pancreatitis.

Methods: 109 postoperative patients with severe acute pancreatitis were divided into interventional and control groups randomly. Telephone follow-up was given to the patients in the interventional group 1 week, 1 month, 3 months and 6 months after discharge.

The relationship between neuroticism, major depressive disorder and comorbid disorders in Chinese women.

Objective: The personality trait of neuroticism is a risk factor for major depressive disorder (MDD), but this relationship has not been demonstrated in clinical samples from Asia.

Methods: We examined a large-scale clinical study of Chinese Han women with recurrent major depression and community-acquired controls.

Results: Elevated levels of neuroticism increased the risk for lifetime MDD (with an odds ratio of 1.

[A study on the psychological state of nurse-students of a university in affected areas of Wenchuan earthquake].

Background: The 8.0-magnitude earthquake that struck Wenchuan County in Sichuan was the most destructive earthquake to hit China since the People's Republic of China was founded in 1949. It caused great environmental harm and property damage, and brought considerable psychological stress and emotional problems to many in the population.