Enhancing healthcare utilization and reducing preventable hospitalizations: exploring the healthcare-seeking propensity of patients with non-communicable diseases in Rural China.

Objective: Understanding healthcare-seeking propensity is crucial for optimizing healthcare utilization, especially for patients with chronic conditions like hypertension or diabetes, given their substantial burden on healthcare systems globally. This study aims to evaluate hypertensive or diabetic patients' healthcare-seeking propensity based on the severity of symptoms, categorizing symptoms as either major or minor. It also explores factors influencing healthcare-seeking propensity and examines whether healthcare-seeking propensity affects healthcare utilization and preventable hospitalizations.

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.

When I Receive Too Much Social Support: The Effect of Social Support Overload on Users' Life Burnout and Discontinuance in Fitness Apps.

Background/objectives: As fitness apps increasingly incorporate social interaction features, users may find themselves overwhelmed by an excess of received support, struggling to effectively manage it. Highlighting a novel recipient-centric perspective, we aim to investigate the impact of social support overload on users' life burnout and discontinuance within fitness apps.

Methods: Utilizing Social Support Theory and Basic Psychological Needs Theory, we develop a model to examine how emotional, network, and informational support overload affect life burnout and discontinuance through the frustration of basic psychological needs: autonomy, competence, and relatedness.

Prevalence of malnutrition among adult inpatients in China: a nationwide cross-sectional study.

Malnutrition substantially contributes to adverse clinical outcomes. However, no national survey has been conducted to characterize its epidemiology in hospital settings in China. We conducted the China Nutrition Fundamental Data 2020 project among a multistage stratified cluster sample of adult inpatients from 291 study sites across 30 provinces, autonomous regions and municipalities (except for Hong Kong, Macao, Taiwan Province, and the Xizang Autonomous Region, please see MATERIALS AND METHODS for details of the causes) of China to generate reliable data on the prevalence of malnutrition and explore the associated risk factors.

The impact of digital transformational leadership on digital intensity among primary healthcare entities: a moderated mediation model.

Background: Uncertain times require healthcare entities to demonstrate strong leadership, develop digitalisation, and respond to change in a creative and flexible manner. Based on emerging new institutional theory, we developed and tested a model of how digital transformational leadership (DTL) affects digital intensity (DI) among healthcare entities through the mediating role of organisational agility (OA). In this article, we also examine the moderating role of the country in the studied relationship.

Sanming Model of Medical Service Integration: Impact on Medical Expenditures, Service Provision, and Resource Allocation in China.

Background: Fragmentation of healthcare services has been a central issue, contributing to escalating medical expenditures and service provision, thereby exacerbating the waste of limited medical resources. In response, China has introduced the Sanming Mode, a medical service integration model designed to address these challenges. This study evaluates the model's impact on medical expenditures, service provision, and resource allocation.

Circumstances Versus Efforts: Dissecting the Drivers of Adolescent Obesity Inequality.

Background: Previous studies have focused predominantly on socioeconomic disparities in adolescent obesity, but the sources of inequality may be more extensive.

Objectives: We aim to quantify and decompose the inequality of opportunity (IOp) in adolescent obesity caused by circumstances and examine the indirect effects of these circumstances on obesity through key effort factors.

Methods: Based on the IOp framework and previous evidence, we categorised age, gender, socioeconomic status, and family-school environments of adolescents (N = 9117) as circumstances and obesity-related behaviours as efforts.

Long-Term Outcomes of a Health Information System-Based Feedback Intervention Study of Antimicrobial Prescriptions in Primary Care Institutions: Follow-Up of a Randomized Cross-Over Controlled Trial.

Purpose: To evaluate the long-term impacts of the feedback intervention on controlling inappropriate use of antimicrobial prescriptions in primary care institutions in China, as a continuation of the previous feedback intervention trial.

Methods: After the intervention ended, we conducted a 12-month follow-up study. The prescription data were collected from the baseline until the end of the follow-up period.

Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning.

Objective: Acute kidney injury (AKI) poses a lethal risk in intensive care unit (ICU) patients, where early detection is challenging. This study was to establish a prediction model for AKI 24 hours in advance for ICU patients and to help clinicians monitor patients at an early stage by key features.

Methods: In this study, the Medical Information Mart for Intensive Care (MIMIC) databases were used to construct a dataset of critically ill patients.

Impact of diagnosis-related group payment on medical expenditure and treatment efficiency on people with drug-resistant tuberculosis: a quasi-experimental study design.

Background: The severe health challenge and financial burden of drug-resistant tuberculosis (DR-TB) continues to be an impediment in China and worldwide. This study aimed to explore the impact of Diagnosis-related group (DRG) payment on medical expenditure and treatment efficiency among DR-TB patients.

Methods: This retrospective cohort study included all DR-TB patients from the digitized Hospital Information System (HIS) of Wuhan Pulmonary Hospital and the TB Information Management System (TBIMS) with completed full course of National Tuberculosis Program (NTP) standard treatment in Wuhan from January 2016 to December 2022, excluding patients whose treatment spanned both before and after the DRG timepoint.

Study protocol: A national cross-sectional study on psychology and behavior investigation of Chinese residents in 2023.

Introduction: This study protocol specifies the primary research line and theoretical framework of the 2023 Survey of the Psychology and Behavior of the Chinese Population. It aims to establish a consistent database of Chinese residents' psychological and behavioral surveys through multi-center and large-sample cross-sectional surveys to provide robust data support for developing research in related fields. It will track the public's physical and psychological health more comprehensively and systematically.

The determinants of help-seeking behaviors among cancer patients in online health communities: Evidence from China.

Objective: Although online health communities offer a new approach to patient interaction, the help-seeking behaviors of cancer patients within these platforms remain unexplored. This study aims to identify the determinants influencing online help-seeking behaviors among cancer patients.

Method: Based on motivation theory, we proposed six hypotheses and developed a research model.

The impact of positive activities on mental health: the mediating role of positive emotion.

Objective: Mental health has become a widely concerned topic worldwide. However, the impact and mechanism of positive activities on mental health still needed to be explored. This study aimed to apply the positive-activity model to investigate the effect of participation in positive activities on mental health and the mediating role of positive emotion.

Impact of policy reforms on hospital-at-home services: an interrupted time series analysis of Shanghai.

Background: The global rise in elderly populations and chronic disease patients has increased the demand for hospital-at-home (HaH) services, which could help reduce hospitalization costs.

Objective: To assess the impact of two policies on the implementation of HaH services in Shanghai.

Methods: A two-stage interrupted time series (ITS) analysis with a control group was conducted to examine changes in three areas-institutional capacity, home-based medical services, and HaH beds-using 11 indicators from 2007 to -2022 across all community health service centres and hospitals providing HaH services.

Hierarchical Medical: What are the Factors Driving ESKD Patients to Choose Community Hemodialysis Centers in China? A Labelled Discrete Choice Experiment.

Purpose: In China, secondary and tertiary hospital-based dialysis facilities had been the most prominent provider of hemodialysis treatment. Developing community hemodialysis centers was the key to constructing hierarchical hemodialysis system. Thus, the aim of this study was to explore end-stage kidney disease (ESKD) patients' preferences for hemodialysis services and attract patients with stable condition to choose community hemodialysis services.

Eliciting parents' decision-making to antibiotic use for upper respiratory tract infections: A discrete choice experiment.

Background: Addressing antibiotic resistance is important for reducing parents' self-medication of antibiotics for children's upper respiratory tract infections (URTIs). However, the decision-making process for parents who irrationally use such antibiotics is still unclear. In this study, we aimed to explore the reasons why parents self-medicate antibiotics for children's URTIs based on a discrete choice experiment.

How to identify patient perception of AI voice robots in the follow-up scenario? A multimodal identity perception method based on deep learning.

Objectives: Post-discharge follow-up stands as a critical component of post-diagnosis management, and the constraints of healthcare resources impede comprehensive manual follow-up. However, patients are less cooperative with AI follow-up calls or may even hang up once AI voice robots are perceived. To improve the effectiveness of follow-up, alternative measures should be taken when patients perceive AI voice robots.

Study on the co-occurrence of multiple health service needs throughout the lifecourse of rural residents in China based on association rules.

Objective: To understand the multiple health service needs of rural residents in China and explore the co-occurrence patterns of these needs throughout the entire life course, providing a basis for the formulation and optimization of health service packaging policies.

Methods: This study utilized a stratified random sampling method, resulting in a final sample size of 15,125 individuals. The R statistical software was employed to apply the Apriori algorithm to mine the co-occurrence relationships among multiple health service needs across the life course and to explore the packaging model of these services.

Association between Genetic Risk and the Renal Function for Developing Venous Thromboembolism.

Aims: The impact of a reduced renal function on the risk of venous thromboembolism (VTE) remains controversial. The association between VTE and the renal function, as well as genetic susceptibility, requires further clarification in a large population.

Methods: This study included 358,723 participants with non-renal failure from the UK Biobank.

Does hospital strategic alliance affect the paediatric service capacity of local hospitals? A difference-in-differences econometric analysis.

Background: Health inequality caused by the scarcity and uneven distribution of paediatric service resources is common worldwide. The hospital strategic alliance may improve paediatric service capacity and health equity, but this hypothesis has not yielded consistent results. Here, we examine the hospital strategic alliance's effect on local hospitals' paediatric service capacity.

The effect of incentive factors on turnover intention of PHC workforce in rural China-from the perspective of two-factor theory.

Objective: The working situation and turnover intention of rural primary healthcare(PHC) workforce have always been of concern. This study aims to explore the effect of different incentive factors on turnover intention of PHC Workforce, with the goal of optimizing health human resources in China.

Methods: Structured questionnaires were used for data collection, including incentive factors questionnaire based on two-factor theory, turnover intention, perceived social support and job burnout.

The improvement of gel properties and volatiles for frozen egg white melted assisted with ultrasound.

The variation in thawing time, deterioration behavior, secondary structure, surface hydrophobicity, and average particle size of frozen egg whites (EW) thawed with or without ultrasound were characterized to evaluate the effect of ultrasound on the gel properties and volatiles of egg white thermogel (EWG). The texture, water holding capacity, etc., gel properties and microstructure were well maintained in frozen EW thawed by ultrasound (UEW) resulted from the mitigation of deterioration behavior due to shorter melting time (reduced 91.