INTRODUCTION: Paediatric patients admitted to the inpatient units from the emergency department (ED) are increasing, but the mean length of stay has fallen significantly. We aimed to determine the reasons behind paediatric one-day admissions in Singapore and to assess their necessity. METHODS: A retrospective study involving paediatric patients who were admitted from a general ED of an adult tertiary hospital to a paediatric tertiary hospital between 1 August 2018 and 30 April 2020. One-day admission was defined as an inpatient stay of less than 24 h from the time of admission to discharge. An unnecessary admission was defined as one with no diagnostic test ordered, intravenous medication administered, therapeutic procedure performed or specialty review made in the inpatient unit. Data were captured in a standardised form and analysed. RESULTS: There were 13,944 paediatric attendances - 1,160 (8.3%) paediatric patients were admitted. Among these, 481 (41.4%) were one-day admissions. Upper respiratory tract infection (62, 12.9%), gastroenteritis (60, 12.5%) and head injury (52, 10.8%) were the three most common conditions. The three most common reasons for ED admissions were inpatient treatment (203, 42.2%), inpatient monitoring (185, 38.5%) and inpatient diagnostic investigations (32, 12.3%). Ninety-six (20.0%) one-day admissions were unnecessary. CONCLUSION Paediatric one-day admissions present an opportunity to develop and implement interventions targeted at the healthcare system, the ED, the paediatric patient and their caregiver, in order to safely slow down and perhaps reverse the trend of increased hospital admissions.
Humans ; Retrospective Studies ; Singapore ; Child ; Emergency Service, Hospital/statistics & numerical data* ; Patient Admission/statistics & numerical data* ; Female ; Male ; Child, Preschool ; Length of Stay/statistics & numerical data* ; Infant ; Adolescent ; Tertiary Care Centers ; Hospitalization/statistics & numerical data* ; Infant, Newborn ; Gastroenteritis/therapy* ; Respiratory Tract Infections

INTRODUCTION: A successful vaccination programme forms the cornerstone of controlling coronavirus disease 2019 (COVID-19). The unprecedented speed of COVID-19 vaccine development and lack of long-term data have raised fears regarding its safety and efficacy. Vaccine hesitancy can undermine the uptake, and hence success of the vaccination programme. Given the high complication rates of COVID-19 infections in kidney transplant recipients, it is particularly important to identify and address vaccine hesitancy in this population. METHODS: We conducted a cross-sectional survey among kidney transplant recipients attending transplant clinic between 5 April and 5 May 2021. The survey assessed attitudes towards COVID-19, willingness/hesitancy towards COVID-19 vaccination, vaccination concerns and prompts to vaccination. This was scored on a Likert scale with scores ranging from 'strongly disagree' - 1 point to 'strongly agree' - 5 points. RESULTS: One hundred and one completed responses were captured. Of these, 86% respondents reported to agree or strongly agree to vaccination. This was despite significant concerns of allograft rejection (mean score 4.12, standard deviation [SD] 0.97) and decreased immunosuppressant efficacy (mean score 4.14, SD 0.96) with vaccination. Multivariable model showed a positive association with transplant vintage of ≥ 5 years (median 2.41), lower educational levels of secondary school or less (median 5.82) and healthcare provider advocacy (median 1.88) in predicting vaccine acceptance. CONCLUSIONS Vaccine acceptance rate was high among kidney transplant recipients. Vaccine hesitancy remains a concern in those with a transplant vintage of less than 5 years and those with tertiary educational level. Healthcare provider advocacy is important in improving vaccine acceptance rates.
Humans ; Kidney Transplantation ; Singapore/epidemiology* ; Male ; Cross-Sectional Studies ; Female ; COVID-19 Vaccines ; COVID-19/epidemiology* ; Middle Aged ; Adult ; Transplant Recipients/psychology* ; Patient Acceptance of Health Care/statistics & numerical data* ; Vaccination Hesitancy/psychology* ; Surveys and Questionnaires ; Vaccination/psychology* ; Aged ; SARS-CoV-2

INTRODUCTION: The rising rate of adolescent suicide, and the burden of self-harm and mental health disorders, pose significant threats to Singapore's future health outcomes and human potential. This study sought to examine the risk profile and healthcare utilisation patterns of Singaporean adolescents who presented to the emergency department (ED) for suicidal or self-harm behaviour. METHOD: A retrospective review of medical records for patients aged 10 to 19 years who visited Singapore's KK Women's and Children's Hospital ED for suicidal or self-harm attempts from January to December 2021 was conducted. RESULTS: A total of 221 patients were identified, with a predominance of female patients (85.5%) over males (14.5%). The mean age was 14.2 ± 1.4 years. Intentional drug overdose (52.0%) was the most commonly used method. Significantly more females presented for intentional paracetamol overdose (46.6% versus [vs] 28.1%, P=0.049), whereas jumping from a height was more common among males (18.8% vs 5.8%, P=0.022). The most frequently observed mental health challenges were stress-related and emotional coping difficulties (50.7%), followed by mood and anxiety symptoms (53.4%). A history of self-harm and suicidal behaviours were the most common psychosocial risk factors. Within the year prior to their ED presentation, 15.4% had accessed healthcare services for mild medical ailments, 19.5% for medically unexplained symptoms, and 17.2% for previous self-harm or suicide attempts. CONCLUSION Most cases involved psychosocial and emotional regulation difficulties, some of which displayed sex-specific patterns, rather than complex psychiatric disorders. The identified predictive factors can help inform Singapore's National Mental Health and Well-being Strategy, to guide targeted and transdiagnostic interventions in schools and community settings.
Humans ; Adolescent ; Singapore/epidemiology* ; Female ; Male ; Suicide, Attempted/psychology* ; Emergency Service, Hospital/statistics & numerical data* ; Self-Injurious Behavior/psychology* ; Retrospective Studies ; Child ; Young Adult ; Drug Overdose/epidemiology* ; Risk Factors ; Acetaminophen/poisoning* ; Patient Acceptance of Health Care/statistics & numerical data* ; Sex Factors

INTRODUCTION: Albeit comprising a small portion of the hospital population, persistent high utilisers (PHUs) contribute disproportionately to healthcare expenditures. Amid rising healthcare costs and an ageing population, this study examines factors associated with PHUs among residents in eastern Singapore. METHOD: This is a retrospective study of eligible patients at Changi General Hospital in Singapore between 1 January 2020 and 31 December 2022. The study included Singapore citizens who utilised any services offered by CGH. Patients were classified as PHUs if their annual healthcare expenditure exceeded SGD3700 for 3 consecutive years. Demographics, healthcare utilisation patterns and clinical profiles were compared, and multivariable analyses were conducted to identify factors associated with PHUs. RESULTS: There were 267,838 eligible patients identified, with 5316 (2%) classified as PHUs. PHUs accounted for 18.4% of the total healthcare expenditure, with the highest costs attributed to inpatient services, followed by outpatient services. PHUs were more likely to be older, male, non-Chinese and of lower socioeconomic status. Conditions with the strongest association with PHUs were mental health disorders, chronic obstructive pulmonary disease, osteoporosis, asthma and renal diseases. Inpatient discharges from renal medicine, psychological medicine and general/geriatric medicine wards had the strongest association with PHUs. Utilisation of allied health services had the highest odds of being a PHU in outpatient care. CONCLUSION This study identified key factors associated with PHUs, providing invaluable insights into the planning of population health services within the hospital's geographical region. Targeted service development and process improvements of medical care can help mitigate persistent high utilisation.
Humans ; Singapore/epidemiology* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Adult ; Health Expenditures/statistics & numerical data* ; Patient Acceptance of Health Care/statistics & numerical data* ; Population Health ; Aged, 80 and over ; Young Adult ; Adolescent

BACKGROUND: The use of potentially inappropriate medications (PIMs) is a major concern for medication safety as it may entail more harm than potential benefits for older adults. This study aimed to explore the prescribing rate, healthcare utilization, and expenditure of older adults using PIMs in China. METHODS: A cross-sectional analysis was conducted using a national representative database of all medical insurance beneficiaries across China, extracting ambulatory visit records of adults aged 65 years and above between 2015 and 2017. Descriptive analysis was conducted to measure the rate of patients exposed to PIM, prescribing rate of each PIM, average annual outpatient visits per patient, average total medication costs for each visit, average annual cost of PIMs for each patient, and average annual medication costs for each patient. Generalized linear model with logit link function and binomial distribution was used to examine the adjusted associations between PIMs and independent variables. RESULTS: In total, 845,278 (33.2%) participants were identified to be exposed to at least one PIM. Patients aged 75-84 years (38.1%, 969,809/2,545,430) and ≥85 years (37.9%, 964,718/2,545,430) were more likely to be prescribed with PIMs. Beneficiaries of the Urban Employee Basic Medical Insurance (UEBMI) and living in eastern and southern regions were more frequently prescribed with PIMs. Compared with patients without PIM exposure (7.5 visits, drug cost of RMB 1545.0 Yuan), patients with PIM exposure showed higher adjusted average annual number of outpatient visits (10.7 visits, β = 3.228, 95% confidence interval [CI] = 3.196-3.261) and higher annual drug costs (RMB 2461.8 Yuan, Coef. = 916.864, 95% CI = RMB 906.292-927.436 Yuan). CONCLUSIONS The results showed that the use of PIM among older adults was common in China. This study suggests that the use of PIM could be considered as a clear target, pending multidimensional efforts, to promote rational prescribing for older adults.
Humans ; Aged ; Cross-Sectional Studies ; Aged, 80 and over ; Male ; Female ; China ; Inappropriate Prescribing/economics* ; Patient Acceptance of Health Care/statistics & numerical data* ; Potentially Inappropriate Medication List/statistics & numerical data* ; Health Expenditures/statistics & numerical data*

Humans ; Uterine Cervical Neoplasms/pathology* ; Female ; Patient Care Team ; Consensus ; China ; Neoplasm Staging ; Combined Modality Therapy ; Quality of Life ; Neoplasm Recurrence, Local/therapy* ; East Asian People

OBJECTIVE: To evaluate the impact of critical care warning platform (CWP) on clinical outcomes of patients transferred from internal medical ward to intensive care unit (ICU) based on real-world data. METHODS: A retrospective cohort study was conducted. The patients transferred from internal medical ward to ICU of Zhongda Hospital, Southeast University, between January 2022 and October 2024, were enrolled. They were divided into critical care warning group and conventional treatment group based on whether they were connected to the CWP. The patients in the critical care warning group were connected to the CWP, which collected real-time vital signs and treatment data. The platform automatically calculated severity scores, generated individualized risk assessments, and triggered warning alerts, allowing clinicians to adjust treatment plans accordingly. The patients in the conventional treatment group were not connected to the CWP and relied on conventional clinical judgment and nursing measures for treatment management. Baseline characteristics [gender, age, body mass index (BMI), admission type, severity score of illness, underlying diseases, and disease type at ICU admission], primary clinical outcome (in-hospital mortality), and secondary clinical outcomes [ICU mortality, length of ICU stay, total length of hospital stay, and mechanical ventilation and continuous renal replacement therapy (CRRT) status] were collected. Multivariate Logistic regression was used to analyze the impact of CWP on in-hospital death, and subgroup analyses were performed based on different patient characteristics. RESULTS: A total of 1 281 patients were enrolled, with 768 in the critical care warning group and 513 in the conventional treatment group. Compared with the conventional treatment group, the proportion of patients in the critical care warning group with underlying diseases of diabetes and malignancy and transferred to ICU due to sepsis was lowered, however, there were no statistically significant differences in other baseline characteristics between the two groups. Regarding the primary clinical outcome, the in-hospital mortality in the critical care warning group was significantly lower than that in the conventional treatment group [17.6% (135/768) vs. 25.7% (132/513), P < 0.01]. For secondary clinical outcomes, compared with the conventional treatment group, the patients in the critical care warning group had significantly fewer days of mechanical ventilation within 28 days [days: 2 (1, 6) vs. 2 (1, 8), P < 0.05], significantly shorter length of ICU stay [days: 3 (2, 8) vs. 4 (2, 10), P < 0.01], and significantly lower ICU mortality [15.1% (116/768) vs. 21.4% (110/513), P < 0.01]. Multivariate Logistic regression analysis showed that, after adjusting for age and underlying diseases, the use of CWP was significantly associated with a reduction of in-hospital mortality among patients transferred from internal medical ward to ICU [odds ratio (OR) = 0.670, 95% confidence interval (95%CI) was 0.502-0.894, P = 0.006]. Further subgroup analysis revealed that, among patients transferred to ICU due to sepsis, the use of CWP significantly reduced in-hospital mortality (OR = 0.514, 95%CI was 0.367-0.722, P < 0.001). In patients aged ≥ 70 years old (OR = 0.587, 95%CI was 0.415-0.831, P = 0.003) and those with underlying diseases of malignancy (OR = 0.124, 95%CI was 0.046-0.330, P < 0.001), CWP also showed significant protective effects on in-hospital prognosis. CONCLUSION The use of CWP is significantly associated with a reduction in in-hospital mortality among patients transferred from internal medical ward to ICU, demonstrating its potential in assessing the deterioration of hospitalized patients.
Humans ; Intensive Care Units ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Critical Care ; Male ; Female ; Patient Transfer ; Middle Aged ; Aged ; Cohort Studies

OBJECTIVE: To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers. METHODS: A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated. RESULTS: After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system. CONCLUSIONS The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units ; Humans ; Patient Handoff ; Artificial Intelligence ; Algorithms

BACKGROUND AND OBJECTIVE

Proper documentation of patient safety events is important to be able to provide changes that can prevent events from occurring again. The Philippine General Hospital launched an online platform for reporting patient safety events in 2017. This paper aimed to describe the patient safety events, initial response to the event, and preventive actions done in the institution.

This is a retrospective descriptive study of patient safety event records from August 2017 to April 2022. General data of the patients, details surrounding the events, response to the event, and preventive measures done after the event were documented. Descriptive analysis was performed.

There was a total of 625 events reported with 525 total unique reports. There was an increased rate of patient safety event reports from 2021 to 2022. The average rate was 23.8 and 25.7 reports per month, respectively. Most reports were for in-patient cases and were type 3 preventable adverse events. The general initial response of healthcare personnel to the adverse events is to provide the appropriate clinical care. Preventive measures include re-orientation and event specific actions.

Documentation is crucial for patient safety events to provide solutions and prevent reoccurrence of these events that can cause harm to patients.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life