Defining Incidental Versus Non-incidental COVID-19 Hospitalizations.

Background Rates of COVID-19 hospitalization are an important measure of the health system burden of severe COVID-19 disease and have been closely followed throughout the pandemic. The highly transmittable, but often less severe, Omicron COVID-19 variant has led to an increase in hospitalizations with incidental COVID-19 diagnoses where COVID-19 is not the primary reason for admission. There is a strong public health need for a measure that is implementable at low cost with standard electronic health record (EHR) datasets that can separate these incidental hospitalizations from non-incidental hospitalizations where COVID-19 is the primary cause or an important contributor. Two crude metrics are in common use. The first uses in-hospital administration of dexamethasone as a marker of non-incidental COVID-19 hospitalizations. The second, used by the United States (US) CDC, relies on a limited set of COVID-19-related diagnoses (i.e., respiratory failure, pneumonia). Both measures likely undercount non-incidental COVID-19 hospitalizations. We therefore developed an improved EHR-based measure that is better able to capture the full range of COVID-19 hospitalizations. Methods We conducted a retrospective study of ED visit data from a national emergency medicine group from April 2020 to August 2023. We assessed the CDC approach, the dexamethasone-based measure, and alternative approaches that rely on co-diagnoses likely to be related to COVID-19, to determine the proportion of non-incidental COVID-19 hospitalizations. Results Of the 153,325 patients diagnosed with COVID-19 at 112 general EDs in 17 US states, and admitted or transferred, our preferred measure classified 108,243 (70.6%) as non-incidental, compared to 71,066 (46.3%) using the dexamethasone measure and 77,399 (50.5%) using the CDC measure. Conclusions Identifying non-incidental COVID-19 hospitalizations using ED administration of dexamethasone or the CDC measure provides substantially lower estimates than our preferred measure.

Correlation of Hemoglobin Level With New Inflammatory Markers in the Emergency Department: A Retrospective Study Exploring Neutrophil-to-Lymphocyte, Monocyte-to-Lymphocyte, Platelet-to-Lymphocyte, and Mean Platelet Volume-to-Platelet Count Ratios.

Background Anemia of chronic disease is known to be associated with inflammation. However, the relationship between hemoglobin (Hb) levels and potential inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and mean platelet volume-to-platelet count ratio (MPV/PC) has not been extensively studied. The primary objective of this retrospective analytical study conducted at Al Zahraa Hospital University Medical Center (ZHUMC), Beirut, was to investigate the correlation between Hb levels and potential inflammatory markers (NLR, MLR, PLR, MPV/PC) in patients visiting the emergency department (ED), across different genders and age groups. The secondary objectives were to compare Hb levels and inflammatory markers values between the referred medical ward group (the hospitalized patients who were admitted to the medical ward), and the non-referred to medical ward group (the patients who were discharged home from the ED), and to evaluate the predictability of inflammatory markers and Hb levels for referral to the medical ward, including the determination of optimal cutoff values for hospital admission to the medical ward. Methods We analyzed the blood parameters of 379 adult patients who presented to the ED with various medical complaints between September 1, 2022, and November 30, 2022 (three months). These patients were included in the study after we checked their eligibility regarding the verification of all our inclusion and exclusion criteria. Results Our findings revealed a significant negative correlation between Hb levels and PLR (r = -0.24) in both genders and across different age groups. The group referred to the medical ward exhibited lower Hb levels and higher NLR, MLR, and PLR values (P < 0.001). NLR/Hb ratio emerged as a predictive factor for admission in genitourinary (R² = 0.158; OR = 5.62) and respiratory groups (R² = 0.206; OR = 5.89), with specific cutoff values of 0.533 (Sensitivity = 57.1% & Specificity = 84.2%) and 0.276 (Sensitivity = 85% & Specificity = 51.1%), respectively. Conclusions Our study demonstrates that hemoglobin level negatively correlates with PLR. NLR, MLR, and PLR stand as important inflammatory markers. Moreover, we present the first study in the literature to show that NLR/Hb ratio can serve as a predictor for referral to the medical ward, particularly in the genitourinary and respiratory patient groups, underscoring its value in risk assessment as a prognostic marker reflecting the need for admission when the case is more serious.

Intra- and post-pandemic impact of the COVID-19 outbreak on Stanford Health Care.

Stanford Health Care, which provides about 7% of overall healthcare to approximately 9 million people in the San Francisco Bay Area, has undergone significant changes due to the opening of a second hospital in late 2019 and, more importantly, the COVID-19 pandemic. We examine the impact of these events on anatomic pathology (AP) cases, aiming to enhance operational efficiency in response to evolving healthcare demands. We extracted historical census, admission, lab tests, operation, and AP data since 2015. An approximately 45% increase in the volume of laboratory tests (P < 0.0001) and a 17% increase in AP cases (P < 0.0001) occurred post-pandemic. These increases were associated with progressively increasing (P < 0.0001) hospital census. Census increase stemmed from higher admission through the emergency department (ED), and longer lengths of stay mostly for transfer patients, likely due to the greater capability of the new ED and changes in regional and local practice patterns post-pandemic. Higher census led to overcapacity, which has an inverted U relationship that peaked at 103% capacity for AP cases and 114% capacity for laboratory tests. Overcapacity led to a lower capability to perform clinical activities, particularly those related to surgical procedures. We conclude by suggesting parameters for optimal operations in the post-pandemic era.

Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study.

BACKGROUND: Triage is the process of accurately assessing patients' symptoms and providing them with proper clinical treatment in the emergency department (ED). While many countries have developed their triage process to stratify patients' clinical severity and thus distribute medical resources, there are still some limitations of the current triage process. Since the triage level is mainly identified by experienced nurses based on a mix of subjective and objective criteria, mis-triage often occurs in the ED. It can not only cause adverse effects on patients, but also impose an undue burden on the health care delivery system. OBJECTIVE: Our study aimed to design a prediction system based on triage information, including demographics, vital signs, and chief complaints. The proposed system can not only handle heterogeneous data, including tabular data and free-text data, but also provide interpretability for better acceptance by the ED staff in the hospital. METHODS: In this study, we proposed a system comprising 3 subsystems, with each of them handling a single task, including triage level prediction, hospitalization prediction, and length of stay prediction. We used a large amount of retrospective data to pretrain the model, and then, we fine-tuned the model on a prospective data set with a golden label. The proposed deep learning framework was built with TabNet and MacBERT (Chinese version of bidirectional encoder representations from transformers [BERT]). RESULTS: The performance of our proposed model was evaluated on data collected from the National Taiwan University Hospital (901 patients were included). The model achieved promising results on the collected data set, with accuracy values of 63%, 82%, and 71% for triage level prediction, hospitalization prediction, and length of stay prediction, respectively. CONCLUSIONS: Our system improved the prediction of 3 different medical outcomes when compared with other machine learning methods. With the pretrained vital sign encoder and repretrained mask language modeling MacBERT encoder, our multimodality model can provide a deeper insight into the characteristics of electronic health records. Additionally, by providing interpretability, we believe that the proposed system can assist nursing staff and physicians in taking appropriate medical decisions.

The Value of Emergency Care Data Set (ECDS) Presentation Codes for Predicting Mortality and Inpatient Admission.

BACKGROUND:  Early identification of patients at higher risk of death and hospital admission is an important problem in Emergency Departments (ED). Most triage scales were developed before current electronic healthcare records were developed. The implementation of a national Emergency Care Data Set (ECDS) allows for the standardised recording of presenting complaints and the use of Electronic Patient Records (EPR) offers the potential for automated triage. The mortality risk and need for hospital admission associated with the different presenting complaints in a standardised national data set has not been previously reported. This study aimed to quantify the risks of death and hospitalisation from presenting complaints. This would be valuable in developing automated triage tools and decision support software. METHODS: We conducted an observational retrospective cohort study on patients who visited a single ED in 2021. The presenting complaints related to subsequent attendances were excluded. This patient list was then manually matched with a routinely collected list of deaths. All deaths that occurred within 30 days of attendance were included. RESULTS: Data was collected from 84,999 patients, of which 1,159 people died within 30 days of attendance. The mortality rate was the highest in cardiac arrest [32 (78.1%)], cardiac arrest due to trauma [2(50%)] and respiratory arrest [3(50%)]. Drowsy [17(12%)], hypothermia [3(13%)] and cyanosis [1(10%)] were also high-risk categories. Chest pain [34(0.6%)] was not a high-risk presenting complaint. CONCLUSION: The initial presenting complaint in ECDS may be useful to identify people at higher and lower risk of death. This information is useful for building automated triage models.

First national analysis of severe obesity hospitalizations in Italy: insights from discharge card database.

Background: Obesity is associated with numerous severe diseases necessitating intensive healthcare for diagnosis and treatment. Most patients with obesity, especially in its severe form, require at least one hospitalization. However, few studies in Italy have assessed the burden of obesity on the National Health System. This study aims to routinely estimate the 'disease burden' by analyzing hospital admissions related to severe obesity. Subjects: We analyzed the medical records of the Italian national hospital discharge database, including all patients older than 18 years discharged with the diagnosis of 'severe obesity'.' We included patients who underwent bariatric surgery, even without an explicit obesity code, such as laparoscopic restrictive gastric procedures, other stomach operations, and high gastric bypass. Special focus was given to those who underwent abdominal reshaping surgery. The cross-sectional survey PASSI in Italy served as an additional data source to estimate. The phenomenon was described using appropriate indicators, including rates and ratios between rates. Linear regression was employed to analyze trends in standardized rates over time. Results: Between 2014 and 2021, a total of 243,325 patients were discharged with a severe obesity code in Italy. Among these patients, 36.8% underwent at least one bariatric surgery procedure. We investigated the types of bariatric surgery procedures performed. The most frequent procedure was "other operations on the stomach," where sleeve gastrectomy is included which also appears to be steadily increasing during the study period together with the gastric bypass, while the gastric bondage is decreasing over time. Conclusion: These findings underscore the significant burden of severe obesity on Italy's healthcare system, a burden that is progressively increasing. The growing utilization of bariatric surgery suggests an escalating trend toward adopting drastic solutions to combat this health issue.

Early Administration of Intravenous Hydration and Opioid Analgesics Is Correlated with Decreased Admission Rates during Vaso-Occlusive Episodes in Sickle Cell Disease.

Background: Painful vaso-occlusive episodes (VOEs) are the hallmark of sickle cell disease (SCD) and account for frequent visits to the emergency department (ED) or urgent care (UC). Currently, the early administration of analgesics is recommended as initial management; however, there is a need for further understanding of the effect of prompt analgesics and hydration during VOEs. The objective of this study is to analyze the factors associated with the rate of hospital admission in the setting of time to intravenous (IV) analgesics and hydration. Method: This retrospective single-institution study reviewed adult and pediatric patients with SCD who presented with VOEs from January 2018 to August 2023. Results: Of 303 patient encounters, the rates of admission for the overall group, the subgroup which received IV hydration within 60 min of arrival, and the subgroup which received both IV analgesics and hydration within 60 min were 51.8%, 25.6% (RR = 0.46), and 18.2% (RR = 0.33), respectively. Further, factors such as gender and the use of hydroxyurea were found to be significantly associated with the rate of admission. Conclusions: This signifies the importance of standardizing the management of VOEs through the timely administration of IV analgesics and hydration in both adult and pediatric ED/UC.

Eating disorders and COVID-19 - different or just more?

BACKGROUND: COVID-19 saw an increase in child mental health presentations internationally. Clinicians analogised the exponential increase in anorexia nervosa to a 'tsunami' or 'outbreak', raising parallel concerns regarding medical and psychological risks (Marsh in The Guardian, 2021; Leask in NZ Herald, 2021; Monteleone et al. in Eat Weight Disord 26(8):2443-2452, 2021) . It is unclear whether Ireland emulated this picture of increased referrals with increased medical compromise. AIMS: This paper examines both rates and clinical profiles of child eating disorder presentations in the Republic of Ireland (ROI), across different clinical settings. METHODS: Following ethical approval, retrospective chart reviews were conducted in a community eating disorder service and in two paediatric hospital settings. The time frame of the different studies ranged from January 2016 to December 2022. RESULTS: Community eating disorder services saw significantly higher referral rates post COVID-19 (3.78/month vs. 2.31/month, p = 0.02), with a shorter duration of illness (4.8 months vs. 7.4 months, p = 0.001), but no significant difference in ideal body weight % (IBW%) at referral (85.32% vs. 83.7%, p = 0.1). Both paediatric hospitals witnessed significantly increased referrals post-COVID-19 (hospital 1; 4.38/month vs. 1.93/month, p = 0.0001; hospital 2; 2.8/month vs. 0.92/month, p < 0.0001), but no significant difference in IBW% at assessment (hospital 1; 82.7% vs. 81.39%, p = 0.673; hospital 2; 81.5% vs. 83%, p = 0.563). There was no significant difference in clinical profile, management, or duration of hospital stay. CONCLUSIONS: This study supports the growing consensus of a pandemic specific increase in eating disorder referrals to both medical and psychiatry services. However, there was little to indicate a change in clinical profile or severity. Ongoing monitoring of referrals is necessary to ensure adequate service availability and expertise.

Ongoing burden and recent trends in severe hospitalised hypoglycaemia events in people with type 1 and type 2 diabetes in Scotland: A nationwide cohort study 2016-2022.

AIMS: We examined severe hospitalised hypoglycaemia (SHH) rates in people with type 1 and type 2 diabetes in Scotland during 2016-2022, stratifying by sociodemographics. METHODS: Using the Scottish National diabetes register (SCI-Diabetes), we identified people with type 1 and type 2 diabetes alive anytime during 2016-2022. SHH events were determined through linkage to hospital admission and death registry data. We calculated annual SHH rates overall and by age, sex, and socioeconomic status. Summary estimates of time and stratum effects were obtained by fitting adjusted generalised additive models using R package mgcv. RESULTS: Rates for those under 20 with type 1 diabetes reached their minimum at the 2020-2021 transition, 30% below the study period average. A gradual decline over time also occurred among 20-49-year-olds with type 1 diabetes. Overall, females had 15% higher rates than males with type 2 diabetes (rate ratio 1.15, 95% CI 1.08-1.22). People in the most versus least deprived quintile experienced 2.58 times higher rates (95% CI 2.27-2.93) in type 1 diabetes and 2.33 times higher (95% CI 2.08-2.62) in type 2 diabetes. CONCLUSIONS: Despite advances in care, SHH remains a significant problem in diabetes. Future efforts must address the large socioeconomic disparities in SHH risks.

Age- and sex-specific associations of frailty with mortality and healthcare utilization in community-dwelling adults from ontario, Canada.

BACKGROUND: Understanding how health trajectories are related to the likelihood of adverse outcomes and healthcare utilization is key to planning effective strategies for improving health span and the delivery of care to older adults. Frailty measures are useful tools for risk stratification in community-based and primary care settings, although their effectiveness in adults younger than 60 is not well described. METHODS: We performed a 10-year retrospective analysis of secondary data from the Ontario Health Study, which included 161,149 adults aged ≥ 18. Outcomes including all-cause mortality and hospital admissions were obtained through linkage to ICES administrative databases with a median follow-up of 7.1-years. Frailty was characterized using a 30-item frailty index. RESULTS: Frailty increased linearly with age and was higher for women at all ages. A 0.1-increase in frailty was significantly associated with mortality (HR = 1.47), the total number of outpatient (IRR = 1.35) and inpatient (IRR = 1.60) admissions over time, and length of stay (IRR = 1.12). However, with exception to length of stay, these estimates differed depending on age and sex. The hazard of death associated with frailty was greater at younger ages, particularly in women. Associations with admissions also decreased with age, similarly between sexes for outpatient visits and more so in men for inpatient. CONCLUSIONS: These findings suggest that frailty is an important health construct for both younger and older adults. Hence targeted interventions to reduce the impact of frailty before the age of 60 would likely have important economic and social implications in both the short- and long-term.

Trends in stroke severity at hospital admission and rehabilitation discharge before and during the COVID-19 pandemic in Hesse, Germany: a register-based study.

BACKGROUND: The COVID-19 pandemic has affected acute stroke care, resulting in a decrease in stroke admissions worldwide. We examined trends in stroke severity at hospital admission, including (1) probable need for rehabilitation (National Institutes of Health Stroke Scale score > 6 points) and (2) probable need for assistance (modified Rankin Scale score > 2 points), and discharge to rehabilitation after acute care among inpatients with acute ischemic stroke and intracerebral hemorrhage. METHODS: We compared quality assurance data for acute ischemic stroke and intracerebral hemorrhage during the pandemic with the period before the pandemic in Hesse, Germany, using logistic regression analyses. RESULTS: Fewer inpatients with a probable need for rehabilitation were present at the beginning of the second wave of the COVID-19 pandemic in September 2020 (adjusted OR (aOR) 0.85, 95% CI [0.73, 0.99]), at the end of the second national lockdown in May 2021 (aOR 0.81, 95% CI [0.70, 0.94]), and at the approaching peak of COVID-19 wave 4 in November 2021 (aOR 0.79, 95% CI [0.68, 091]). Rates of probable need for assistance were significantly lower at the beginning of COVID-19 wave 2 in August 2020 (aOR 0.87, 95% CI [0.77, 0.99]) and at the beginning of COVID-19 wave 3 in March 2021 (aOR 0.80, 95% CI [0.71, 0.91]). Rates of discharge to rehabilitation were lower from the beginning in October 2020 to the peak of COVID-19 wave 2 in December 2020 (aOR 0.83, 95% CI [0.77, 0.90]), at the beginning and end of COVID-19 wave 3 in March 2021 and May 2021 (aOR 0.86, 95% CI [0.79, 0.92]), respectively, and at the beginning of COVID-19 wave 4 in October 2021 (aOR 0.86, 95% CI [0.76, 0.98]). CONCLUSIONS: The results suggest that the COVID-19 pandemic had an impact on stroke management during the pandemic, but the absolute difference in stroke severity at hospital admission and discharge to rehabilitation was small.

Dyadic Yoga for Head and Neck Cancer Patients Undergoing Chemoradiation and their Family Caregivers.

OBJECTIVES: Concurrent chemoradiation to treat head and neck cancer (HNC) may result in debilitating toxicities. Targeted exercise such as yoga therapy may buffer against treatment-related sequelae; thus, this pilot RCT examined the feasibility and preliminary efficacy of a yoga intervention. Because family caregivers report low caregiving efficacy and elevated levels of distress, we included them in this trial as active study participants. METHODS: HNC patients and their caregivers were randomized to a 15-session dyadic yoga program or a waitlist control (WLC) group. Prior to randomization, patients completed standard symptom (MDASI-HN) and patients and caregivers completed quality of life (SF-36) assessments. The 15-session program was delivered parallel to patients' treatment schedules. Participants were re-assessed at patients' last day of chemoradiation and again 30 days later. Patients' emergency department visits, unplanned hospital admissions and gastric feeding tube placements were recorded over the treatment course and up to 30 days later. RESULTS: With a consent rate of 76%, 37 dyads were randomized. Participants in the yoga group completed a mean of 12.5 sessions and rated the program as "beneficial." Patients in the yoga group had clinically significantly less symptom interference and HNC symptom severity and better QOL than those in the WLC group. They were also less likely to have a hospital admission (OR = 3.00), emergency department visit (OR = 2.14), and/or a feeding tube placement (OR = 1.78). CONCLUSION: Yoga therapy appears to be a feasible, acceptable, and possibly efficacious behavioral supportive care strategy for HNC patients undergoing chemoradiation. A larger efficacy trial is warranted.

Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study.

BACKGROUND: A small proportion of the older population accounts for a high proportion of healthcare use. For effective use of limited healthcare resources, it is important to identify the group with greatest needs. The aim of this study was to explore frequency and reason for hospitalisation and cumulative mortality, in an older population at predicted high risk of hospital admission, and to assess if a prediction model can be used to identify individuals with the greatest healthcare needs. Furthermore, discharge diagnoses were explored to investigate if they can be used as basis for specific interventions in the high-risk group. METHODS: All residents, 75 years or older, living in Östergötland, Sweden, on January 1st, 2017, were included. Healthcare data from 2016 was gathered and used by a validated prediction model to create risk scores for hospital admission. The population was then divided into groups by percentiles of risk. Using healthcare data from 2017-2018, two-year cumulative incidence of hospitalisation was analysed using Gray´s test. Cumulative mortality was analysed with the Kaplan-Meier method and primary discharge diagnoses were analysed with standardised residuals. RESULTS: Forty thousand six hundred eighteen individuals were identified (mean age 82 years, 57.8% women). The cumulative incidence of hospitalisation increased with increasing risk of hospital admission (24% for percentiles < 60 to 66% for percentiles 95-100). The cumulative mortality also increased with increasing risk (7% for percentiles < 60 to 43% for percentiles 95-100). The most frequent primary discharge diagnoses for the population were heart diseases, respiratory infections, and hip injuries. The incidence was significantly higher for heart diseases and respiratory infections and significantly lower for hip injuries, for the population with the highest risk of hospital admission (percentiles 85-100). CONCLUSIONS: Individuals 75 years or older, with high risk of hospital admission, were demonstrated to have considerable higher cumulative mortality as well as incidence of hospitalisation. The results support the use of the prediction model to direct resources towards individuals with highest risk scores, and thus, likely the greatest care needs. There were only small differences in discharge diagnoses between the risk groups, indicating that interventions to reduce hospitalisations should be personalised. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT03180606, first posted 08/06/2017.

Impact of Clinical Pharmacist-conducted Medication Reconciliation at Admission and Discharge on Medication Safety in Patients Hospitalized with Acute Decompensated Heart Failure.

BACKGROUND: Most studies have focused on the impact of medication reconciliation on one of the points of hospital admission or discharge. In this study, we aimed to investigate the impact of medication reconciliation at both admission and discharge on medication safety in patients hospitalized with acute decompensated heart failure. METHODS: This was a prospective, single-center, cohort study conducted in a tertiary care cardiovascular hospital from October 2022 to March 2023 on patients hospitalized with acute decompensated heart failure. Patients were considered eligible if they were taking at least five chronic medications prior to hospital admission. Medication reconciliation was carried out for the study patients by a clinical pharmacy team both at admission and discharge. Further, the study patients also received comprehensive discharge counseling as well as post-discharge follow-up and monitoring. RESULTS: Medication reconciliation was applied for 129 patients at admission and 118 of them at discharge. The mean time needed for medication reconciliation presses was 32 min per patient on admission and 22min per patient on discharge. Unintentional medication discrepancies were relatively common both at admission and discharge in the study participants, but compared to admission, discrepancies were less frequent at discharge (178 versus 72). Based on the consensus review, about 30% of identified errors detected at both admission and discharge were judged to have the potential to cause moderate to severe harm to the patient, and most of the clinical pharmacists' recommendations on unintended discrepancies were accepted by physicians and resulted in changes in medication orders (more than 80%). Further, the majority of the participants were 'very satisfied' or 'satisfied' with the clinical pharmacy services provided to them during hospitalization and after hospital discharge (89.90%). CONCLUSIONS: Our results demonstrated that heart failure patients are vulnerable to medication discrepancies both at admission and discharge and implementing a comprehensive medication reconciliation by clinical pharmacists could be helpful in improving medication safety in these patients.

The lived experiences of patients with severe obesity during hospital admissions in Norway: A phenomenological hermeneutic study.

AIM: To explore the lived experiences of patients with severe obesity during hospital admissions. DESIGN: Qualitative study design. METHODS: Semi-structured individual interviews with 14 participants with severe obesity from Norway were conducted between May and October 2021. A qualitative phenomenological hermeneutical approach inspired by Paul Riceour was used to analyse the data. RESULTS: The following three themes were identified through the analysis of the lived experiences of patients with severe obesity during hospital admissions: blaming my weight, being prejudged and feeling different. The participants shared various emotional experiences of encounters with healthcare professionals at hospitals. They struggled to be recognized and welcomed like everyone else and found it difficult to be judged by someone who did not know them. The various experiences resulted in a vicious circle, ultimately leading to a fear of future hospitalization. CONCLUSION: Being a patient with obesity in a hospital setting can present various challenges, leading to feelings of shame and guilt. Experiences of stigma may not necessarily be related to the overall hospital context but rather to encounters with healthcare professionals who may be unfamiliar with the patient's history, which can lead to stigmatizing behaviours. IMPACT: Understanding how patients with severe obesity experience their hospital admissions and the importance of familiarizing themselves with the individual patients to avoid stigmatizing behaviours is important for healthcare professionals caring for obese patients. REPORTING METHOD: Consolidated Criteria for Reporting Qualitative Research. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. IMPACT STATEMENT: Patients with obesity often encounter stigmatization and negative attitudes from healthcare professionals, particularly in primary care settings. Patients with severe obesity experienced various challenging encounters with healthcare professionals during hospital admissions, resulting in a vicious circle, ultimately leading to a fear of future hospitalization. It is crucial for healthcare professionals involved in the care of patients with obesity to acquaint themselves with individual patients to prevent stigmatizing behaviours.

Effect of short-term exposure to air pollution on hospital admission for cardiovascular disease: A time-series study in Xiangyang, China.

BACKGROUND: Data on the relationship between short-term exposure to air pollution and cardiovascular diseases (CVDs) and the potential modifying factors are limited and inconsistent. OBJECTIVE: To explore the relationship between short-term exposure to air pollution and CVD risk, and potential modification effect factors. METHOD: A time series study was conducted on 52,991 hospital admissions for CVD from 2015 to 2019 in Xiangyang City, China. Air pollution data from four national fixed monitoring stations were collected to estimate exposure level in Xiangyang City. A quasi-Poisson generalized additive model incorporating a distributed lag nonlinear model was applied to evaluate the association between air pollution and CVD risk. The potential modification effect of sex, age, and season on the above associations was also evaluated. RESULTS: CVD risk was positively associated with air pollution. Peak associations in single lag day structures were observed for particulate matter ≤10 µm in aerodynamic (PM10; RR: 1.040, 95 % CI: 0.996-1.087), PM2.5 (1.025, 1.004-1.045), nitrogen dioxide (NO2; 1.074, 1.039-1.111), and sulfur dioxide (SO2; 1.079, 1.019-1.141) at Lag 0 and ozone (O3; 1.018, 1.004-1.031) at Lag 4. In cumulative lag day structures, the highest RRs were 1.225 (1.079,1.392) for PM10 at Lag 06, 1.054 (1.013, 1.098) for PM2.5 at Lag 03, 1.200 (1.119, 1.287) for NO2 at Lag 04, and 1.135 (1.025, 1.257) for SO2 at Lag 02. Moreover, the association between air pollution and CVD risk was modified by sex and age (P < 0.05). Females and individuals aged ≤65 years were more vulnerable to NO2 and had a higher CVD risk. CONCLUSION: Short-term exposure to air pollution was positively associated with CVD risk. Moreover, sex and age could modify the effect of air pollution on CVD risk. Females and individuals aged ≤65 years had a higher NO2 exposure-induced CVD risk.

Factors predictive of hospital admission for children via emergency departments in Australia and Sweden: an observational cross-sectional study.

BACKGROUND: Identifying factors predictive of hospital admission can be useful to prospectively inform bed management and patient flow strategies and decrease emergency department (ED) crowding. It is largely unknown if admission rate or factors predictive of admission vary based on the population to which the ED served (i.e., children only, or both adults and children). This study aimed to describe the profile and identify factors predictive of hospital admission for children who presented to four EDs in Australia and one ED in Sweden. METHODS: A multi-site observational cross-sectional study using routinely collected data pertaining to ED presentations made by children < 18 years of age between July 1, 2011 and October 31, 2012. Univariate and multivariate analysis were undertaken to determine factors predictive of hospital admission. RESULTS: Of the 151,647 ED presentations made during the study period, 22% resulted in hospital admission. Admission rate varied by site; the children's EDs in Australia had higher admission rates (South Australia: 26%, Queensland: 23%) than the mixed (adult and children's) EDs (South Australia: 13%, Queensland: 17%, Sweden: 18%). Factors most predictive of hospital admission for children, after controlling for triage category, included hospital type (children's only) adjusted odds ratio (aOR):2.3 (95%CI: 2.2-2.4), arrival by ambulance aOR:2.8 (95%CI: 2.7-2.9), referral from primary health aOR:1.5 (95%CI: 1.4-1.6) and presentation with a respiratory or gastrointestinal condition (aOR:2.6, 95%CI: 2.5-2.8 and aOR:1.5, 95%CI: 1.4-1.6, respectively). Predictors were similar when each site was considered separately. CONCLUSIONS: Although the characteristics of children varied by site, factors predictive of hospital admission were mostly similar. The awareness of these factors predicting the need for hospital admission can support the development of clinical pathways.

Hospital admissions to Phillip Island Wildlife Clinic, Victoria, Australia, over a 10-year period, 2012-2021.

Wildlife hospitals play a critical role in safeguarding diverse animal species, but their admissions data are also valuable for investigating threats and challenges impacting local wildlife. This study examines 10 years of admissions data from the Phillip Island Wildlife Clinic in Victoria, Australia, to identify species, primary causes, outcomes, and temporal trends of hospital admissions. Avian species constitute the majority of admissions (64.5%), with sea and water birds being the most frequently admitted group. Motor vehicle accidents (MVAs), injuries of unknown cause, and orphaning are the dominant causes of admission for birds and mammals. Car strikes are the leading cause of admission for land birds, land mammals, macropods, and turtles. Orphaning exhibits a seasonal pattern, with a higher number of cases in spring. Overall, 70.3% of admissions resulted in mortality, with causes related to trauma showing significantly higher mortality risks than others. The findings emphasize the impact of tourism on wildlife populations and the urgent need for targeted conservation strategies on Phillip Island.

Relationship between patient-perceived quality of primary care and self-reported hospital utilisation in China: A cross-sectional study.

BACKGROUND: Reducing avoidable hospital admissions is a global healthcare priority, with optimal primary care recognised as pivotal for achieving this objective. However, in developing systems like China, where primary care is evolving without compulsory gatekeeping, the relationship between patient-perceived primary care quality and hospital utilisation remains underexplored. OBJECTIVES: This study aimed to explore the association between patient-perceived primary care quality and self-reported hospital utilisation in China. METHODS: Data were collected from 16 primary care settings. Patient-perceived quality of primary care was measured using the Assessment Survey of Primary Care scale across six domains (first-contact care, continuity, comprehensiveness, accessibility, coordination, and patient-centredness). Hospital utilisation included patient self-reported outpatient visits, hospital admissions, and emergency department (ED) visits in the last six months. Logistic regression analyses were examined associations between self-reported hospital utilisation and perceived primary care quality adjusted for potential confounders. RESULTS: Of 1,185 patients recruited, 398 (33.6%) reported hospital utilisation. Logistic regression analyses showed that higher total scores for patient-perceived quality of primary care were associated with decreased odds of hospital utilisation (adjusted odds ratio(AOR): 0.417, 95% confidence interval (CI): 0.308-0.565), outpatient visits (AOR: 0.394, 95% CI: 0.275-0.566) and hospital admissions (AOR: 0.496, 95% CI: 0.276-0.891). However, continuity of care was positively associated with ED visits (AOR: 2.252, 95% CI: 1.051-4.825). CONCLUSION: Enhanced patient-perceived quality of primary care in China is associated with a reduction in self-reported overall hospital utilisation, including outpatient visits and hospital admissions. However, better continuity of care may be associated with increased ED visits. Further research is warranted for precise insights and validation of these findings.

Improved patient-perceived primary care quality in China was linked to lower self-reported hospital utilisation, including outpatient visits and hospital admissions.Better primary care accessibility was associated with decreased self-reported emergency department visits and outpatient visits.Continuity of care showed a positive association with emergency department visits, warranting further research.

Variations in Hospital Admissions of Non-Communicable Disease Patients Before and During The COVID-19 Pandemic (A Tertiary Care Setting, January 2018-June 2021).

BACKGROUND: This study aimed to analyze the variations (if any) in hospital admissions of patients with any of the five common non-communicable diseases (NCDs), based on secondary analysis of electronic health records of patients admitted to Hacettepe University Hospitals at least once, from January 1, 2018 through June 15, 2021. DESIGN: Data were recruited from hospital's electronic health records on patients with diagnoses of ischemic heart disease, hypertension, diabetes, cancer, and chronic obstructive pulmonary disease, using relevant ICD-10 codes. RESULTS: Compared to the corresponding time span in the pre-pandemic period, the number of hospital admissions of patients with selected five NCDs significantly decreased during the pandemic, with an official start in Turkey on March 11, 2020. Number of total-, out-patient-, and in-patient admissions of NCD patients were significantly lower in the pandemic period compared to the expected values in time series analysis, controlling for patient characteristics, and seasonality. CONCLUSIONS: Study findings suggest that there has been a prominent impediment in NCD patients' access to, and/or use of health care services over the pandemic, which might evolve to higher admission rates, severity and fatality of such patients in the upcoming years. Further studies are warranted for confirmation of our findings in other care settings, with individual-based data on care compensation through settings other than regular admission sites (if any), and/or the reasons for under-use of services.