Patient, caregiver and professional views on preventable emergency admissions of older patients, a multi-method study in three Dutch hospitals.

BACKGROUND: Older adults are too often hospitalized from the emergency department (ED) without needing hospital care. Knowledge about rates and causes of these preventable emergency admissions (PEAs) is limited. This study aimed to assess the proportion of PEAs, the level of agreement on perceived preventability between physicians and patients, and to explore their underlying causes as perceived by patients, their relatives, and the admitting physician. METHODS: A multi-center multi-method study at the ED of one academic and two regional hospitals in the Netherlands was performed. All patients aged > 70 years and hospitalized from the ED were consecutively sampled during a six-week period. Quantitative data regarding patient and clinical characteristics and perceived preventability of the admission were prospectively collected from the electronical medical record and analyzed using descriptive statistics. Agreement on preventability between patient, caregivers and physicians was assessed by using the Cohen's kappa. Underlying causes of a PEA were subsequently collected by semi-structured interviews with patients and caregivers. Physician's perceived causes of a PEA were collected by telephone interviews and by open-ended questions sent by email. Thematic content analysis was used to analyze the interview transcripts and email narratives. RESULTS: Out of 773 admissions, 56 (7.2%) were deemed preventable by patients or their caregivers. Admitting physicians regarded 75 (9.7%) admissions as preventable. The level of agreement between these two groups was low with a Cohen's kappa score of 0.10 (p = 0.003). Perceived causes for PEAs related to six themes: (1) insufficient support at home, (2) suboptimal care in the community setting, (3) errors in hospital care, (4) time of presentation to ED and availability of resources, (5) delayed help seeking behavior, and (6) errors made by patients. CONCLUSIONS: Our findings contribute to the existing evidence that a substantial part (almost one out of ten) of the older adults visiting the ED is perceived as unnecessary hospital care by patients, caregivers and health care providers. Findings also provide valuable insight into the causes for PEAs from a patient perspective. Further research is needed to understand why the perspectives of those responsible for hospital admission and those being admitted vary considerably.

Cardiomyopathy-Associated Hospital Admissions Among Methamphetamine Users: Geographical and Social Disparities.

Background: Methamphetamine is an emerging drug threat. The disparity in cardiomyopathy-associated hospital admissions among methamphetamine users (CAHMA) over the decade remains unknown. Objectives: The purpose of this study was to determine the trends and prevalence of CAHMA by age, sex, race, and geographical region. Methods: We used data from 2008 to 2020 from the National Inpatient Sample database. We identified 12,845,919 cardiomyopathy-associated hospital admissions; among them, 222,727 were diagnosed as methamphetamine users. A generalized linear model with binomial link function was used to compute the prevalence ratio and 95% CI. Those who used other substances along with methamphetamine were excluded from the analysis. Results: CAHMA increased by 231% (P trend <0.001) from 2008 to 2020. CAHMA increased 345% for men (P trend <0.001) and 122% for women (P trend <0.001), 271% for non-Hispanic White (P trend <0.001), 254% for non-Hispanic Black (p trend <0.001), 565% for Hispanic (P trend <0.001), and 645% for non-Hispanic Asian (P trend <0.001) population. CAHMA also increased significantly in the West region (530%) (P trend <0.001) and South region (200%) (P trend <0.001) of the United States. Men, Hispanic population, age groups 26 to 40 and 41 to 64 years, and Western regions showed a significantly higher uptrend than their counterparts (P trend <0.001). Conclusions: CAHMA have increased significantly in the United States. Men, Hispanics, non-Hispanic Asian, age groups 41 to 64. and western regions showed a higher proportional increase highlighting gender-based, racial/ethnic, and regional disparities over the study period.

Ambient PM2.5 Chemical Composition and Cardiovascular Disease Hospitalizations in China.

Little is known about the impacts of specific chemical components on cardiovascular hospitalizations. We examined the relationships of PM2.5 chemical composition and daily hospitalizations for cardiovascular disease in 184 Chinese cities. Acute PM2.5 chemical composition exposures were linked to higher cardiovascular disease hospitalizations on the same day and the percentage change of cardiovascular admission was the highest at 1.76% (95% CI, 1.36-2.16%) per interquartile range increase in BC, followed by 1.07% (0.72-1.43%) for SO42-, 1.04% (0.63-1.46%) for NH4+, 0.99% (0.55-1.43%) for NO3-, 0.83% (0.50-1.17%) for OM, and 0.80% (0.34%-1.26%) for Cl-. Similar findings were observed for all cause-specific major cardiovascular diseases, except for heart rhythm disturbances. Short-term exposures to PM2.5 chemical composition were related to higher admissions and showed diverse impacts on major cardiovascular diseases.

Diagnostic agreement between emergency medical service and emergency department physicians, a prospective multicentre study.

INTRODUCTION: Early and adequate preliminary diagnosis reduce emergency department (ED) and hospital stay and may reduce mortality. Several studies demonstrated adequate preliminary diagnosis as stated by emergency medical services (EMS) ranging between 61 and 77%. Dutch EMS are highly trained, but performance of stating adequate preliminary diagnosis remains unknown. METHODS: This prospective observational study included 781 patients (> 18years), who arrived in the emergency department (ED) by ambulance in two academic hospitals. For each patient, the diagnosis as stated by EMS and the ED physician was obtained and compared. Diagnosis was categorized based on the International Classification of Diseases, 11th Revision. RESULTS: The overall diagnostic agreement was 79% [95%-CI: 76-82%]. Agreement was high for traumatic injuries (94%), neurological emergencies (90%), infectious diseases (84%), cardiovascular (78%), moderate for mental and drug related (71%), gastrointestinal (70%), and low for endocrine and metabolic (50%), and acute internal emergencies (41%). There is no correlation between 28-day mortality, the need for ICU admission or the need for hospital admission with an adequate preliminary diagnosis. CONCLUSION: In the Netherlands, the extent of agreement between EMS diagnosis and ED discharge diagnosis varies between categories. Accuracy is high in diseases with specific observations, e.g., neurological failure, detectable injuries, and electrocardiographic abnormalities. Further studies should use these findings to improve patient outcome.

Effect of comprehensive geriatric assessment on hospitalizations in older adults with frailty initiating curatively intended oncologic treatment: The PROGNOSIS-RCT study.

INTRODUCTION: Frailty constitutes a risk for unplanned hospitalizations in older adults with cancer. This study examines whether comprehensive geriatric assessment (CGA) as an add-on to standard oncologic care can prevent unplanned hospitalizations in older adults with frailty and cancer who initiate curative oncological treatment. MATERIALS AND METHODS: This randomized controlled trial included older adults aged ≥70 with frailty (Geriatric 8 [G8] ≤14), and solid cancers who initiated curative oncological treatment. Participants were randomized 1:1 to either standard oncologic care (control) or standard oncologic care supplemented with CGA-guided interventions (intervention). Baseline characteristics were retrieved prior to randomization. The primary endpoint, the between-group rate ratio of unplanned hospitalizations within six months of treatment initiation, was analyzed using negative binominal regression. Analyses were performed using an intention-to-treat approach, followed by per-protocol analysis, including participants receiving CGA within 30 days of randomization, and preplanned subgroup analyses based on treatment modality and Geriatric 8 screening. Secondary endpoints included acute hospital contacts, treatment adherence, and toxicity. RESULTS: From November 1, 2020 to May 31, 2023, 173 participants were enrolled. Median age was 75 (interquartile range 72-79), 51.5% were female, 58% had a G8 score > 12, and 84% had Eastern Cooperative Oncology Group performance status 0-1. The most common cancer sites were lung (23%), upper gastrointestinal (15%), and breast (13%). The rate (per person-years) of unplanned hospitalization was 1.32 in the intervention group and 1.81 in the control group, with a between-group rate ratio of 0.74 (95% confidence interval [CI] 0.45-1.23, P = 0.25) favoring the intervention. The between-group rate ratio increased in the per-protocol analysis (0.64 [95% CI 0.37-1.10, P = 0.10]). Similarly, no significant between group differences were found in treatment adherence, rate of acute hospital contacts, or toxicity. DISCUSSION: In this study, CGA did not significantly reduce the rate of unplanned hospitalizations. Furthermore, no between-group differences were found in treatment adherence, toxicity lead hospitalizations, or treatment completion in older adults with cancer and frailty. However, per-protocol analysis suggests that increasing adherence to CGA may improve the outcome. Larger studies ensuring higher CGA adherence are warranted to confirm our findings.

Exploring the factors impacting choice and quality of overnight private hospital stays and consumer perspectives on patient reported experience measures (PREMs) in Australia: a qualitative interview study.

OBJECTIVES: Patient reported experience measures (PREMs) are tools often utilised in hospitals to support quality improvements and to provide objective feedback on care experiences. Less commonly PREMs can be used to support consumers choices in their hospital care. Little is known about the experience and views of the Australian consumer regarding PREMs nor the considerations these consumers have when they need to make decisions about attending hospital. This study aimed to explore consumer awareness of PREMs, consumer attitudes towards PREMs and the utility of PREMs as a decision-making tool in accessing hospital care. METHODS: Qualitative study involving semi-structured interviews conducted over the phone. Participants (n = 40) were recruited from across Australia and purposively sampled according to key characteristics: holding private health insurance, > 30-years of age, may have accessed private hospital care in the past year, variety of educational and cultural backgrounds, and if urban or rural residing. Interviews were audio-recorded, transcribed, and analysed thematically. RESULTS: Four overarching themes and six subthemes were identified from the data. Major findings were that prior awareness of PREMs was limited; however, many had filled in a PREM either for themselves or for someone they cared for following a hospital stay. Most respondents preferred to listen to experience of self or family/friends or the recommendation of their physician when choosing a hospital to attend. Participants appeared to be more interested in the treating clinician than the hospital with this clinician often dictating the hospital or hospital options. If provided choice in hospital, issues of additional costs, timeliness of treatment and location were important factors. CONCLUSION: While PREMs were considered a possible tool to assist in hospital decision-making process, previous hospital experiences, the doctor and knowing up-front cost are an overriding consideration for consumers when choosing their hospital. Consideration to format and presentation of PREMs data is needed to facilitate understanding and allow meaningful comparisons. Future research could examine the considerations of those consumers who primarily access public healthcare facilities and how to improve the utility of PREMs.

Lymphocyte as a predictor of prognosis of COVID-19 patients: A hospital-based study.

Introduction: Lymphocytopenia has emerged as a simply obtained laboratory value that may correlate with prognosis. In this study we aim to study absolute Lymphocyte count after clinical recovery. Method and material: Observational study was conducted in Covid dedicated Hospital in Mizoram. Absolute lymphocyte count is obtained from the differential leucocyte count of the patients. The obsolute Lymphocyte count at the time of hospital admission is compared with the Absolute Lymphocyte count at the time of hospital discharge after the patient obtained clinical recovery. Result: Absolute Lymphocyte Count at the time of admission has a mean of 2004.48 and standard deviation of 1204.868. Absolute Lymphocyte Count at the time of discharge has a mean of 1943.68 and standard devaiton of 842.228. Pearsons correlation coefficientis showed that there is positive correlation between the variables (Correlation coeffiecient = .325). Also, the correlation is statistically significant (P < 0.05). Paired Sample t-test showed there is no statistical significant difference between Absolute Lymphocyte Count- at the time of admission and at the time of discharge (P > 0.05) at 95% Conficence Interval. Conclusion: Our study showed that Absolute Lymphocyte count had no signicant difference at the time of hospital admission and after clinical recovery.

Influence of prior contact with community mental health services on first inpatient psychiatric admission for ethnic minorities: Findings from the NOMIAC study.

BACKGROUND: Research has extensively documented inequalities in inpatient psychiatric care provided to people of minoritized ethnic groups. Nonetheless, the role of their previous engagement with community mental health care has been little studied. AIMS: We aimed at exploring whether previous clinical care can influence key domains of subsequent psychiatric inpatient care for people of ethnic minorities. METHODS: We identified patients with a first hospital admission between 2016 and 2022, from a representative, highly diverse, catchment area of Northern Italy, using electronic health data of the NOMIAC study. We aimed at testing the impact of clinical care prior to admission on indicators of poor inpatient care, as identified by a participatory expert panel, that is, compulsory admission, insufficient length of stay, administration of Long-Acting Antipsychotics (LAI) during the last 7 days before discharge. Multiple regression models, predicted and counterfactual proportions and path analyses from generalized structural equations modeling were used to explore the association between belonging to ethnic minorities and these indicators. RESULTS: Among 1,524 participants, 18% were from minoritized ethnic groups. While these were more likely to experience an involuntary admission, regardless of previous care received, they were offered appropriate length of stay if had previous engagement with community mental health care. Both belonging to ethnic minorities and mental health care prior-to-admission were independently associated with early LAI administration. CONCLUSIONS: Several ethnic inequalities in inpatient care continue despite previous community mental health care provided. Future research should examine how these disparities translate into clinical outcomes. Nonetheless, there is the need to actively promote equity, improving the quality of inpatient care of minoritized ethnic groups.

Effects of apparent temperature on hospitalization rates for cardiovascular diseases: a case study of different rural areas in Northwest China.

Apparent temperature (AT) is a composite index that combines ambient temperature, humidity, wind speed and other meteorological factors, and reflects heat perception more accurately than raw temperature. This is the first study to investigate the association between AT and CVD in rural areas of Jiuquan and Longnan, Gansu Province, China. In this study, the distributed lag nonlinear model (DLNM) was used to examine the exposure-response relationship between AT and the 21 days relative risk (RR) of CVD admission. The results showed that the exposure risk of the gender group in Jiuquan was opposite to that of Longnan under the influence of cold effect. Under the influence of heat effect, it has a protective effect on all groups in Jiuquan area, which is harmful to males and adults in Longnan area. The results of this study can help local governments to formulate public policies.

Single center assessment of the role of Oakland score among patients admitted for acute lower gastrointestinal bleeding.

BACKGROUND/OBJECTIVES: The Oakland score was developed to predict safe discharge in patients who present to the emergency department with lower gastrointestinal bleeding (LGIB). In this study, we retrospectively evaluated if this score can be implemented to assess safe discharge (score ≤ 10) at WellStar Atlanta Medical Center (WAMC). METHODS: A retrospective cohort study of 108 patients admitted at WAMC from January 1, 2020 to December 30, 2021 was performed. Patients with LGIB based on the ICD-10 codes were included. Oakland score was calculated using 7 variables (age, sex, previous LGIB, digital rectal exam, pulse, systolic blood pressure (SBP) and hemoglobin (Hgb)) for all patients at admission and discharge from the hospital. The total score ranges from 0 to 35 and a score of ≤ 10 is a cut-off that has been shown to predict safe discharge. Hgb and SBP are the main contributors to the score, where lower values correspond to a higher Oakland score. Descriptive and multivariate analysis was performed using SPSS 23 software. RESULTS: A total of 108 patients met the inclusion criteria, 53 (49.1%) were female with racial distribution was as follows: 89 (82.4%) African Americans, 17 (15.7%) Caucasian, and 2 (1.9%) others. Colonoscopy was performed in 69.4% patients; and 61.1% patients required blood transfusion during hospitalization. Mean SBP records at admission and discharge were 129.0 (95% CI, 124.0-134.1) and 130.7 (95% CI,125.7-135.8), respectively. The majority (59.2%) of patients had baseline anemia and the mean Hgb values were 11.0 (95% CI, 10.5-11.5) g/dL at baseline prior to hospitalization, 8.8 (95% CI, 8.2-9.5) g/dL on arrival and 9.4 (95% CI, 9.0-9.7) g/dL at discharge from hospital. On admission, 100/108 (92.6%) of patients had an Oakland score of > 10 of which almost all patients (104/108 (96.2%)) continued to have persistent elevation of Oakland Score greater than 10 at discharge. Even though, the mean Oakland score improved from 21.7 (95% CI, 20.4-23.1) of the day of arrival to 20.3 (95% CI, 19.4-21.2) at discharge, only 4/108 (3.7%) of patients had an Oakland score of ≤ 10 at discharge. Despite this, only 9/108 (8.33%) required readmission for LGIB during a 1-year follow-up. We found that history of admission for previous LGIB was associated with readmission with adjusted odds ratio 4.42 (95% CI, 1.010-19.348, p = 0.048). CONCLUSIONS: In this study, nearly all patients who had Oakland score of > 10 at admission continued to have a score above 10 at discharge. If the Oakland Score was used as the sole criteria for discharge most patients would not have met discharge criteria. Interestingly, most of these patients did not require readmission despite an elevated Oakland score at time of discharge, indicating the Oakland score did not really predict safe discharge. A potential confounder was the Oakland score did not consider baseline anemia during calculation. A prospective study to evaluate a modified Oakland score that considers baseline anemia could add value in this patient population.

Associated Factors of Patients' Survival in Out of Hospital Cardiac Arrest; a Cross-sectional Study.

Introduction: Chinese populations have an increasingly high prevalence of cardiac arrest. This study aimed to investigate the prehospital associated factors of survival to hospital admission and discharge among out-of-hospital cardiac arrest (OHCA) adult cases in Macao Special Administrative Region (SAR), China. Methods: Baseline characteristics as well as prehospital factors of OHCA patients were collected from publicly accessible medical records and Macao Fire Services Bureau, China. Demographic and other prehospital OHCA characteristics of patients who survived to hospital admission and discharge were analyzed using multivariate logistic regression analysis. Results: A total of 904 cases with a mean age of 74.2±17.3 (range: 18-106) years were included (78%>65 years, 62% male). Initial shockable cardiac rhythm was the strongest predictor for survival to both hospital admission (OR=3.57, 95% CI: 2.26-5.63; p<0.001) and discharge (OR=12.40, 95% CI: 5.70-26.96; p<0.001). Being male (OR=1.63, 95% CI:1.08-2.46; p =0.021) and the lower emergency medical service (EMS) response time (OR=1.62, 95% CI: 1.12-2.34; p =0.010) were also associated with a 2-fold association with survival to hospital admission. In addition, access to prehospital defibrillation (OR=4.25, 95% CI: 1.78-10.12; p <0.001) had a 4-fold association with survival to hospital discharge. None of these associations substantively increased with age. Conclusion: The major OHCA predictors of survival were initial shockable cardiac rhythm, being male, lower EMS response time, and access to prehospital defibrillation. These findings indicate a need for increased public awareness and more education.

The accuracy of predicting hospital admission by emergency medical service and emergency department personnel compared to the prehospital MEWS: a prospective multicenter study.

INTRODUCTION: Overcrowding in the emergency department (ED) is a global problem. Early and accurate recognition of a patient's disposition could limit time spend at the ED and thus improve throughput and quality of care provided. This study aims to compare the accuracy among healthcare providers and the prehospital Modified Early Warning Score (MEWS) in predicting the requirement for hospital admission. METHODS: A prospective, observational, multi-centre study was performed including adult patients brought to the ED by ambulance. Involved Emergency Medical Service (EMS) personnel, ED nurses and physicians were asked to predict the need for hospital admission using a structured questionnaire. Primary endpoint was the comparison between the accuracy of healthcare providers and prehospital MEWS in predicting patients' need for hospital admission. RESULTS: In total 798 patients were included of whom 393 (49.2%) were admitted to the hospital. Sensitivity of predicting hospital admission varied from 80.0 to 91.9%, with physicians predicting hospital admission significantly more accurately than EMS and ED nurses (p < 0.001). Specificity ranged from 56.4 to 67.0%. All healthcare providers outperformed MEWS ≥ 3 score on predicting hospital admission (sensitivity 80.0-91.9% versus 44.0%; all p < 0.001). Predictions for ward admissions specifically were significantly more accurate than MEWS (specificity 94.7-95.9% versus 60.6%, all p < 0.001). CONCLUSIONS: Healthcare providers can accurately predict the need for hospital admission, and all providers outperformed the MEWS score.

Multimorbidity in Incident Heart Failure: Characterisation and Impact on 1-Year Outcomes.

Background/Objectives: Heart failure (HF) is usually accompanied by other comorbidities, which, altogether, have a major impact on patients and healthcare systems. Our aim was to analyse the demographic and clinical characteristics of incident HF patients and the effect of comorbidities on one-year health outcomes. Methods: This was an observational, retrospective, population-based study of incident HF patients between 2014 and 2018 in the EpiChron Cohort, Spain. The included population contained all primary and hospital care patients with a diagnosis of HF. All chronic diseases in their electronic health records were pooled into three comorbidity clusters (cardiovascular, mental, other physical). These comorbidity groups and the health outcomes were analysed until 31 December 2018. A descriptive analysis was performed. Cox regression models and survival curves were calculated to determine the hazard risk (HR) of all-cause mortality, all-cause and HF-related hospital admissions, hospital readmissions, and emergency room visits for each comorbidity group. Results: In total, 13,062 incident HF patients were identified (mean age = 82.0 years; 54.8% women; 93.7% multimorbid; mean of 4.52 ± 2.06 chronic diseases). After one-year follow-up, there were 3316 deaths (25.3%) and 4630 all-cause hospitalisations (35.4%). After adjusting by gender, age, and inpatient/outpatient status, the mental cluster was associated (HR; 95% confidence interval) with a higher HR of death (1.08; 1.01-1.16) and all-cause hospitalisation (1.09; 1.02-1.16). Conclusions: Cardiovascular comorbidities are the most common and studied ones in HF patients; however, they are not the most strongly associated with negative impacts on health outcomes in these patients. Our findings suggest the importance of a holistic and integral approach in the care of HF patients and the need to take into account the entire spectrum of comorbidities for improving HF management in clinical practice.

Coeliac Disease and Microscopic Colitis: The Largest Study Assessing Prognosis and Risk of Hospital Admission.

Microscopic colitis (MC) and coeliac disease (CD) are common associated gastrointestinal conditions. We present the largest study assessing hospitalisation in patients with MC and the effect of a concomitant diagnosis of CD. Data were retrospectively collected between January 2007 and December 2021 from all patients diagnosed with MC and compared to a database of patients with only CD. In total, 892 patients with MC (65% female, median age 65 years (IQR: 54-74 years) were identified, with 6.4% admitted to hospital due to a flare of MC. Patients admitted were older (76 vs. 65 years, p < 0.001) and presented with diarrhoea (87.7%), abdominal pain (26.3%), and acute kidney injury (17.5%). Treatment was given in 75.9% of patients, including intravenous fluids (39.5%), steroids (20.9%), and loperamide (16.3%). Concomitant CD was diagnosed in 3.3% of patients and diagnosed before MC (57 versus 64 years, p < 0.001). Patients with both conditions were diagnosed with CD later than patients with only CD (57 years versus 44 years, p < 0.001). In conclusion, older patients are at a higher risk of hospitalisation due to MC, and this is seen in patients with a concomitant diagnosis of CD too. Patients with MC are diagnosed with CD later than those without.

Starting Insulin Algorithms for Noncritical Illness: A Survey of 32 Academic Hospitals in the United States.

Glycemic control immediately upon hospitalization is difficult. Endocrine Society guidelines suggest starting scheduled insulin therapy at 0.2-0.5 units/kg/day, but there has been no rigorous study to support this recommendation. To understand the variability of current practice, we surveyed starting insulin algorithms for noncritically ill patients among the top-ranking academic hospitals in the United States. Among the 20 hospitals with reported algorithms, 12 specified which patients should start with basal/nutritional insulin, whereas 5 specified who should start with only correction insulin. Weight-based and/or home-dose-based calculations were used to estimate the initial insulin requirements with various modifiers. In addition, various factors were considered when choosing among the correction dose algorithms. In summary, among the U.S. academic hospitals, there is variability in methods for determining insulin dosing on admission for noncritically ill patients. This inconsistency suggests that future studies to estimate initial insulin requirements are required.

Hospital admissions and community health service contacts for mental illness following self-reported child maltreatment: Results from the Childhood Adversity and Lifetime Morbidity (CALM) study.

BACKGROUND: Child maltreatment (CM) includes neglect, and several types of abuse, including physical, emotional, and sexual. CM has been associated with a wide range of mental illnesses. Literature examining these illnesses in mid-life is scarce, and the impact of these illnesses on mental health service use is currently unknown. OBJECTIVE: To examine associations between self-reported CM and subsequent hospital admissions for mental illnesses, and/or community mental health service contacts. SETTING: Birth cohort study data linked to administrative health data, including hospital admissions and community mental health service contacts, up to the age of 40. METHODS: Associations between hospital admissions for mental health and community mental health contacts and CM subtypes (neglect, physical abuse, emotional abuse and sexual abuse) were examined using multivariate logistic regression. RESULTS: Adjusted analyses showed that all subtypes of CM were significantly (p < 0.05) associated with admissions to hospital for any type of mental illness (aOR range 1.87-3.61), non-psychotic mental disorders (aOR range 1.98-3.61), alcohol and/or substance use (aOR range 2.83-5.43), and community mental health service contacts (aOR range 2.44-3.13). Hospital admissions for psychotic mental disorders were significantly associated with physical abuse, emotional abuse, and sexual abuse (aOR range 2.14-3.93). CONCLUSIONS: The results of this study confirm the current knowledge around CM and subsequent mental health illnesses up to the age of 40, and extend this knowledge to hospital and mental health service use.

Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.

BACKGROUND: Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine. OBJECTIVE: We aimed to establish accurate and informative machine learning (ML) models to identify patients at high risk for PE as they are admitted to the hospital, before their initial clinical checkup, by using only the information in their medical records. METHODS: We collected demographics, comorbidities, and medications data for 2568 patients with PE and 52,598 control patients. We focused on data available prior to emergency department admission, as these are the most universally accessible data. We trained an ML random forest algorithm to detect PE at the earliest possible time during a patient's hospitalization-at the time of his or her admission. We developed and applied 2 ML-based methods specifically to address the data imbalance between PE and non-PE patients, which causes misdiagnosis of PE. RESULTS: The resulting models predicted PE based on age, sex, BMI, past clinical PE events, chronic lung disease, past thrombotic events, and usage of anticoagulants, obtaining an 80% geometric mean value for the PE and non-PE classification accuracies. Although on hospital admission only 4% (1942/46,639) of the patients had a diagnosis of PE, we identified 2 clustering schemes comprising subgroups with more than 61% (705/1120 in clustering scheme 1; 427/701 and 340/549 in clustering scheme 2) positive patients for PE. One subgroup in the first clustering scheme included 36% (705/1942) of all patients with PE who were characterized by a definite past PE diagnosis, a 6-fold higher prevalence of deep vein thrombosis, and a 3-fold higher prevalence of pneumonia, compared with patients of the other subgroups in this scheme. In the second clustering scheme, 2 subgroups (1 of only men and 1 of only women) included patients who all had a past PE diagnosis and a relatively high prevalence of pneumonia, and a third subgroup included only those patients with a past diagnosis of pneumonia. CONCLUSIONS: This study established an ML tool for early diagnosis of PE almost immediately upon hospital admission. Despite the highly imbalanced scenario undermining accurate PE prediction and using information available only from the patient's medical history, our models were both accurate and informative, enabling the identification of patients already at high risk for PE upon hospital admission, even before the initial clinical checkup was performed. The fact that we did not restrict our patients to those at high risk for PE according to previously published scales (eg, Wells or revised Genova scores) enabled us to accurately assess the application of ML on raw medical data and identify new, previously unidentified risk factors for PE, such as previous pulmonary disease, in general populations.

Effects of dyadic care interventions for heart failure on patients' and caregivers' outcomes: A systematic review, meta-analysis and meta-regression.

BACKGROUND: The contemporary model for managing heart failure has been extended to a patient-family caregiver dyadic context. However, the key characteristics of the model that can optimise health outcomes for both patients and caregivers remain to be investigated. OBJECTIVES: This study aimed to identify the effects of dyadic care interventions on the behavioural, health, and health-service utilisation outcomes of patients with heart failure and their family caregivers and to explore how the intervention design characteristics influence these outcomes. DESIGN: This study involved systematic review, meta-analysis, and meta-regression techniques. METHODS: We performed a systematic review and meta-analysis, using 12 databases to identify randomised controlled trials or quasi-experimental studies published in English or Chinese between database inception and 31 December 2022. The considered interventions included those targeting patients with heart failure and their family caregivers to enhance disease management. Data synthesis was performed on various patient- and caregiver-related outcomes. The identified interventions were categorised according to their design characteristics for subgroup analysis. Meta-regression was performed to explore the relationship between care delivery methods and their effectiveness. RESULTS: We identified 48 studies representing 9171 patient-caregiver dyads. Meta-analyses suggested the positive effects of dyadic care interventions on patients' health outcomes [Hedges' g (95 % confidence interval {CI}): heart failure knowledge = 1.0 (0.26, 1.75), p = 0.008; self-care confidence = 0.45 (0.08, 0.83), p = 0.02; self-care maintenance = 1.12 (0.55, 1.70), p < 0.001; self-care management = 1.01 (0.54, 1.49), p < 0.001; anxiety = -0.18 (-0.34, -0.02), p = 0.03; health-related quality of life = 0.30 (0.08, 0.51), p < 0.001; hospital admission (risk ratio {95 % CI}: hospital admission = 0.79 (0.65, 0.97), p = 0.007; and mortality = 0.58 (0.36, 0.93), p = 0.02)]. Dyadic care interventions also improved the caregivers' outcomes [Hedges' g (95 % CI): social support = 0.67 (0.01, 1.32), p = 0.05; perceived burden = -1.43 (-2.27, -0.59), p < 0.001]. Although the design of the identified care interventions was heterogeneous, the core care components included enabling and motivational strategies to improve self-care, measures to promote collaborative coping within the care dyads, and nurse-caregiver collaborative practice. Incorporating the first two core components appeared to enhance the behavioural and health outcomes of the patients, and the addition of the last component reduced readmission. Interventions that engaged both patients and caregivers in care provision, offered access to nurses, and optimised continuity of care led to better patient outcomes. CONCLUSIONS: These findings demonstrate that dyadic care interventions can effectively improve disease management in a family context, resulting in better health outcomes for both patients and caregivers. Additionally, this study provides important insights into the more-effective design characteristics of these interventions. REGISTRATION NUMBER: The review protocol was registered in the PROSPERO International Prospective Register of Systematic Reviews (CRD42022322492).

Intramural Health Care Through Video Consultations and the Need for Referrals and Hospital Admissions: Retrospective Quantitative Subanalysis of an Evaluation Study.

BACKGROUND: In comparison to the general population, prison inmates are at a higher risk for drug abuse and psychiatric, as well as infectious, diseases. Although intramural health care has to be equivalent to extramural services, prison inmates have less access to primary and secondary care. Furthermore, not every prison is constantly staffed with a physician. Since transportation to the nearest extramural medical facility is often resource-intensive, video consultations may offer cost-effective health care for prison inmates. OBJECTIVE: This study aims to quantify the need for referrals to secondary care services and hospital admissions when video consultations with family physicians and psychiatrists are offered in prison. METHODS: In 5 German prisons, a mixed methods evaluation study was conducted to assess feasibility, acceptance, and reasons for conducting video consultations with family physicians and psychiatrists. This analysis uses quantitative data from these consultations (June 2018 to February 2019) in addition to data from a sixth prison added in January 2019 focusing on referral and admission rates, as well as reasons for encounters. RESULTS: At the initiation of the project, 2499 prisoners were detained in the 6 prisons. A total of 435 video consultations were conducted by 12 physicians (3 female and 7 male family physicians, and 2 male psychiatrists during the study period). The majority were scheduled consultations (341/435, 78%). In 68% (n=294) of all encounters, the patient was asked to consult a physician again if symptoms persisted or got worse. In 26% (n=115), a follow-up appointment with either the video consultant or prison physician was scheduled. A referral to other specialties, most often psychiatry, was necessary in 4% (n=17) of the cases. Only in 2% (n=8) of the consultations, a hospital admission was needed. Usually, hospital admissions were the result of unscheduled consultations, and the videoconferencing system was the method of communication in 88% (n=7) of these cases, while 12% (n=1) were carried out over the phone. Reasons for admissions were severe abdominal pain, hypotension, unstable angina or suspected myocardial infarction, or a suspected schizophrenic episode. CONCLUSIONS: Most scheduled and unscheduled consultations did not require subsequent patient transport to external health care providers. Using telemedicine services allowed a prompt patient-physician encounter with the possibility to refer patients to other specialties or to admit them to a hospital if necessary.

Factors associated with mental health representations to the emergency department within six months.

BACKGROUND/OBJECTIVE: ED representation places a tremendous drain on resources with mental health (MH) representation among the most common. This study aimed to identify patient and clinical factors associated with 28-day and six-month ED MH representation of an index MH ED presentation. METHOD: All MH related ED presentations from 1 January 2017 to 30 June 2019 were extracted from routinely collected administrative data. Cox regression and multinomial logistic regression models tested associations between patient characteristics and risk of representation. RESULTS: For the 8,010 patients, 28-day and six-month representations were 8 % and 16 % respectively. Self-identifying with a MH problem at index presentation (28-day hazard ratio (HR) = 1.48, 95 % CI = 1.19-1.84; six-month HR = 1.52, 95 % CI = 1.29-1.78), leaving ED before completing treatment (28-day HR = 4.13, 95 % CI = 3.36-5.08; six-month HR = 2.52, 95 % CI = 2.12-2.99), no private health insurance (six-month HR = 1.34, 95 % CI = 1.08-1.66), and hospital admission within one year prior to index (six month MH-related admission vs non-MH, HR = 1.59, 95 % CI = 1.19-2.13) were associated with increased risk of representation. Being uninsured was associated with frequent six-month representation among adults aged 16-39 years (OR = 3.16, 95 %CI = 1.59-6.25). CONCLUSION: Self-identifying with a MH problem, leaving ED prematurely, being uninsured and prior hospitalisation are areas for in-depth investigation for improved understanding of unplanned representations.