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BACKGROUND: In mental health care, experienced coercion, also known as perceived coercion, is defined as the patient's subjective experience of being submitted to coercion. Besides formal coercion, many other factors have been identified as potentially affecting the experience of being coerced. This study aimed to explore the interplay between these factors and to provide new insights into how they lead to experienced coercion. METHODS: Cross-sectional network analysis was performed on data collected from 225 patients admitted to six psychiatric hospitals. Thirteen variables were selected and included in the analyses. A Gaussian Graphical Model (GGM) using Spearman's rank-correlation method and EBICglasso regularisation was estimated. Centrality indices of strength and expected influence were computed. To evaluate the robustness of the estimated parameters, both edge-weight accuracy and centrality stability were investigated. RESULTS: The estimated network was densely connected. Formal coercion was only weakly associated with both experienced coercion at admission and during hospital stay. Experienced coercion at admission was most strongly associated with the patients' perceived level of implication in the decision-making process. Experienced humiliation and coercion during hospital stay, the most central node in the network, was found to be most strongly related to the interpersonal separation that patients perceived from staff, the level of coercion perceived upon admission and their satisfaction with the decision taken and the level of information received. CONCLUSIONS: Reducing formal coercion may not be sufficient to effectively reduce patients' feeling of being coerced. Different factors seemed indeed to come into play and affect experienced coercion at different stages of the hospitalisation process. Interventions aimed at reducing experienced coercion and its negative effects should take these stage-specific elements into account and propose tailored strategies to address them.
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Coercion , Hospitals, Psychiatric , Mental Disorders , Patient Admission , Humans , Female , Male , Adult , Cross-Sectional Studies , Mental Disorders/psychology , Mental Disorders/therapy , Middle AgedABSTRACT
OBJECTIVES: To determine demographic and clinical characteristics associated with uptake of COVID-19 vaccines among pregnant women, and quantify the relationship between vaccine uptake and admission to hospital for COVID-19. BACKGROUND: Pregnant women are at increased risk of severe adverse outcomes from COVID-19. Since April 2021, COVID-19 vaccines were recommended for pregnant women in the UK. Despite this, evidence shows vaccine uptake is low. However, this evidence has been based only on women admitted to hospital, or on qualitative or survey-based studies. METHODS: Retrospective cohort study including all pregnancies ending between 18 June 2021 and 22 August 2022, among adult women registered with a Northwest London general practice. Statistical analyses were mixed-effects multiple logistic regression models. We conducted a nested case-control analysis to quantify the relationship between vaccine uptake by end of pregnancy and hospitalisation for COVID-19 during pregnancy. RESULTS: Our study included 47,046 pregnancies among 39,213 women. In 26,724 (57%) pregnancies, women had at least one dose of vaccine by the end of pregnancy. Uptake was lowest in pregnant women aged 18-24 (33%; reference group), Black women compared with White (37%; OR 0.55, 95% CI: 0.51 to 0.60), and women in more deprived areas (50%; reference group). Women with chronic conditions were more likely to receive the vaccine than women without (Asthma OR 1.21, 95% CI: 1.13 to 1.29). Patterns were similar for the second dose. Women admitted to hospital were much less likely to be vaccinated (22%) than those not admitted (57%, OR 0.22, 95% CI: 0.15 to 0.31). CONCLUSIONS: Women who received the COVID-19 vaccine were less likely to be hospitalised for COVID-19 during pregnancy. COVID-19 vaccine uptake among pregnant women is suboptimal, particularly in younger women, Black women, and women in more deprived areas. Interventions should focus on increasing uptake in these groups to improve health outcomes and reduce health inequalities.
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BACKGROUND: TB is a leading infectious cause of death worldwide. The COVID-19 pandemic raised concerns that the burden of TB disease and death would increase due to the synergy between the two conditions. METHODS: We used individual-level data submitted to the WHO Global Clinical Platform for COVID-19 on hospitalised patients to explore associations of TB with mortality using multivariable logistic regression. RESULTS: Data were available from 453,233 persons with COVID-19 and known TB status and mortality outcomes from 62 countries (96% SARS-CoV-2 test-positive). Of these, 48% were male, and the median age was 53 years (IQR 38-67). There were 8,214 cases with current TB reported by 46 countries, mainly from Africa. Of people with current TB, 31.4% were admitted with severe illness, and 24.5% died. Current TB was independently associated with higher mortality when adjusted for age, sex, HIV status, illness severity at hospital admission, and underlying conditions (adjusted RR 1.47, 95% CI 1.35-1.61). CONCLUSION: Current or past TB were independent risk factors for in-hospital mortality regardless of illness severity at admission. Caveats for interpretation include changes during the data collection period (viral variation, vaccination coverage) and opportunistic sampling. However, the platform exemplifies how timely, coordinated global reporting can inform our understanding of health emergencies and the vulnerable populations affected.
CONTEXTE: La TB est l'une des principales causes infectieuses de décès dans le monde. La pandémie de COVID-19 a fait craindre que le fardeau de la TB et des décès n'augmente en raison de la synergie entre les deux maladies. MÉTHODES: Nous avons utilisé les données individuelles soumises à la Plateforme clinique mondiale de l'OMS pour la COVID-19 sur les patients hospitalisés pour explorer les associations entre la TB et la mortalité à l'aide d'une régression logistique multivariée. RÉSULTATS: Des données étaient disponibles sur 453 233 personnes atteintes de COVID-19 et connues pour le statut de TB et les résultats de mortalité dans 62 pays (96% de tests positifs au SRAS-CoV-2). Parmi eux, 48% étaient des hommes et l'âge médian était de 53 ans (IQR 3867). Un total de 8 214 cas de TB ont été signalés par 46 pays, principalement en Afrique. Parmi les personnes atteintes de TB actuelle, 31,4% ont été admises avec une maladie grave et 24,5% sont décédées. La TB actuelle était indépendamment associée à une mortalité plus élevée lorsqu'elle était ajustée en fonction de l'âge, du sexe, du statut VIH, de la gravité de la maladie à l'admission à l'hôpital et des affections sous-jacentes (RR ajusté 1,47 ; IC à 95% 1,351,61). CONCLUSION: La TB actuelle ou passée était un facteur de risque indépendant de mortalité à l'hôpital, quelle que soit la gravité de la maladie à l'admission. Les mises en garde concernant l'interprétation comprennent les changements au cours de la période de collecte des données (variation virale, couverture vaccinale) et l'échantillonnage opportuniste. Cependant, la plateforme illustre comment des rapports mondiaux opportuns et coordonnés peuvent éclairer notre compréhension des urgences sanitaires et des populations vulnérables touchées.
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AIM: To describe the trends of hospitalisation for infections in people with diabetes and in the general population. METHODS: People with diabetes were identified from the Australian National Diabetes Services Scheme linked to hospitalisation datasets from 2010/11 to 2018/19. Data on hospitalisations in the general population were obtained from the Australian Institute of Health and Welfare. Joinpoint regression software was used to calculate the annual percentage change (APC) of rates. RESULTS: The rate of hospitalisation for total infections increased with an APC of 2.6% (95% CI: 1.5, 3.7) among people with type 1 diabetes, 3.6% (2.6, 4.6) among people with type 2 diabetes, and 2.5% (1.3, 3.9) in the general population. Increasing rates were observed for sepsis, influenza, kidney infections, osteomyelitis, cellulitis, and foot infections in all groups. The rate of hospitalisation for urinary tract infection declined among people with type 2 diabetes though it was stable in other groups. The rate of hospitalisation for respiratory tract infections was stable among people with type 1 diabetes but increased in other groups. The rate of hospitalisation for gastrointestinal infection was stable in all cohorts. CONCLUSION: Hospitalisation rates for infection have increased more rapidly over time in people with diabetes than in the general population.
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BACKGROUND: The use of seclusion in Adolescent Inpatient Psychiatric Units is being heavily scrutinised due to its forceful nature and potential to cause harm. This study aimed to understand staff perspectives on reasons for seclusion in an Adolescent Inpatient Psychiatric Unit. METHOD: A mixed methods approach that included the Attitudes to Seclusion Survey followed by a semi-structured interview on the reasons for seclusion was used. We recruited 31 participants who worked on the unit of which 27 were involved in seclusion. RESULTS: The findings showed that the majority of staff view seclusion as undesirable and believe it should only be used out of necessity. However, there was disagreement among staff about the reasons why adolescents were secluded and whether those reasons were justified. Staff identified factors that contributed to increases in seclusion but also provided several ways in which seclusion could be reduced. CONCLUSIONS: These findings highlight a need for precision on what constitutes justifiable use of seclusion to reduce the potential for misuse. It also shows opportunities exist for further reduction in seclusion through teamwork and communication.
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We conducted a multicentre test-negative case-control study covering the period from October 2023 to January 2024 among adult patients aged ≥ 18 years hospitalised with severe acute respiratory infection in Europe. We provide early estimates of the effectiveness of the newly adapted XBB.1.5 COVID-19 vaccines against PCR-confirmed SARS-CoV-2 hospitalisation. Vaccine effectiveness was 49% overall, ranging between 69% at 14-29 days and 40% at 60-105 days post vaccination. The adapted XBB.1.5 COVID-19 vaccines conferred protection against COVID-19 hospitalisation in the first 3.5 months post vaccination, with VE > 70% in older adults (≥ 65 years) up to 1 month post vaccination.
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COVID-19 Vaccines , COVID-19 , Hospitalization , SARS-CoV-2 , Vaccination , Vaccine Efficacy , Humans , Hospitalization/statistics & numerical data , COVID-19/prevention & control , COVID-19/epidemiology , COVID-19 Vaccines/immunology , COVID-19 Vaccines/administration & dosage , Aged , Europe/epidemiology , Female , Male , Middle Aged , Adult , Case-Control Studies , SARS-CoV-2/immunology , Vaccine Efficacy/statistics & numerical data , Vaccination/statistics & numerical data , Young Adult , Aged, 80 and over , AdolescentABSTRACT
BACKGROUND: Hospitalisation resulting from complications of systemic therapy and radiotherapy places a substantial burden on the patient, society, and healthcare system. To formulate preventive strategies and enhance patient care, it is crucial to understand the connection between complications and the need for subsequent hospitalisation. This review aimed to assess the existing literature on complications related to systemic and radiotherapy treatments for cancer, and their impact on hospitalisation rates. METHODS: Data was obtained via electronic searches of the PubMed, Scopus, Embase and Google Scholar online databases to select relevant peer-reviewed papers for studies published between January 1, 2000, and August 30, 2023. We searched for a combination of keywords in electronic databases and used a standard form to extract data from each article. The initial specific interest was to categorise the articles based on the aspects explored, especially complications due to systemic and radiotherapy and their impact on hospitalisation. The second interest was to examine the methodological quality of studies to accommodate the inherent heterogeneity. The study protocol was registered with PROSPERO (CRD42023462532). FINDINGS: Of 3289 potential articles 25 were selected for inclusion with ~ 34 million patients. Among the selected articles 21 were cohort studies, three were randomised control trials (RCTs) and one study was cross-sectional design. Out of the 25 studies, 6 studies reported ≥ 10 complications, while 7 studies reported complications ranging from 6 to 10. Three studies reported on a single complication, 5 studies reported at least two complications but fewer than six, and 3 studies reported higher numbers of complications (≥ 15) compared with other selected studies. Among the reported complications, neutropenia, cardiac complications, vomiting, fever, and kidney/renal injury were the top-most. The severity of post-therapy complications varied depending on the type of therapy. Studies indicated that patients treated with combination therapy had a higher number of post-therapy complications across the selected studies. Twenty studies (80%) reported the overall rate of hospitalisation among patients. Seven studies revealed a hospitalisation rate of over 50% among cancer patients who had at least one complication. Furthermore, two studies reported a high hospitalisation rate (> 90%) attributed to therapy-repeated complications. CONCLUSION: The burden of post-therapy complications is emerging across treatment modalities. Combination therapy is particularly associated with a higher number of post-therapy complications. Ongoing research and treatment strategies are imperative for mitigating the complications of cancer therapies and treatment procedures. Concurrently, healthcare reforms and enhancement are essential to address the elevated hospitalisation rates resulting from treatment-related complications in cancer patients.
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Hospitalization , Neoplasms , Humans , Hospitalization/statistics & numerical data , Neoplasms/radiotherapy , Neoplasms/therapy , Radiotherapy/adverse effects , Radiation Injuries/etiology , Radiation Injuries/epidemiologyABSTRACT
BACKGROUND: The aim of this study was to evaluate the impact on the national health system of COVID-19 infection in vaccinated patients undergoing haemodialysis. METHODS: From the cohort of vaccinated dialysis patients enrolled in 118 dialysis centres, we calculated hospitalisation incidence in COVID-19-infected subjects. COVID-19-related hospitalisations and ICU admissions were analysed over two time periods (prior to administration of the third dose and following administration of the third dose of vaccine) and adjusted for several co-variates. Using the general population as the reference, we then calculated the Standardized Incidence Ratio (SIR) of hospitalisation. RESULTS: Eighty-two subjects out of 1096 infected patients were hospitalised (7.5%) and sixty-four hospitalisations occurred among the 824 infected persons after the third dose. Age ≥ 60 years (Adj RR 2.91; 95% CI 1.34-6.30) and lung disease (Adj RR = 2.45; 95% CI 1.32-4.54) were the only risk factors associated with hospitalisation. The risk of ICU admission in the second time period (Time 2) was reduced by 86% (RR = 0.14; 95% CI 0.03-0.71) compared to the first time period (Time 1). The SIR of hospitalisation (SIR 14.51; 95% CI 11.37-17.65) and ICU admission (SIR 14.58; 95% CI 2.91-26.24) showed an increase in the number of events in dialysis patients compared to the general population. CONCLUSIONS: Our analysis revealed that while the second variant of the virus increased infection rates, it was concurrently associated with mitigated severity of infections. Dialysis patients exhibited a higher susceptibility to both COVID-19 hospitalisation and ICU admission than the general population throughout the pandemic.
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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.
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Celiac Disease , Colitis, Microscopic , Hospitalization , Humans , Celiac Disease/diagnosis , Celiac Disease/complications , Celiac Disease/epidemiology , Female , Male , Middle Aged , Aged , Retrospective Studies , Hospitalization/statistics & numerical data , Colitis, Microscopic/epidemiology , Colitis, Microscopic/diagnosis , Prognosis , Risk Factors , Diarrhea/etiology , Adult , Age FactorsABSTRACT
BACKGROUND: Probiotic supplementation in preterm neonates is standard practice in many centres across the globe. The impact of probiotic supplementation in the neonatal age group on the risk of hospitalisation in infancy has not been reported previously. METHODS: Infants born < 32 + 6 weeks of gestation in Western Australia were eligible for inclusion. We conducted a retrospective cohort study comparing data from before probiotic supplementation (Epoch 1: 1 December 2008-30 November 2010, n = 1238) versus after (Epoch 2: 1 June 2012-30 May 2014, n = 1422) on the risks of respiratory- and gastrointestinal infection-related hospitalisation. A subgroup analysis of infants born < 28 weeks of gestation was analysed separately for similar outcomes. RESULTS: Compared to Epoch 1, an 8% reduction in incidence of hospitalisation up to 2 years after birth was observed in Epoch 2 (adjusted incidence rate ratio (IRR) of 0.92; 95% confidence interval (CI); 0.87-0.98), adjusted for gestational age, smoking, socioeconomic status, and maternal age. The rate of hospitalisation for infants born < 28 weeks of gestation was comparable in epochs 1 and 2. CONCLUSION: Infants exposed to probiotic supplementation in the neonatal period experience a reduced risk of hospitalisation in the first two years after discharge from the neonatal unit.
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Dietary Supplements , Hospitalization , Probiotics , Humans , Western Australia/epidemiology , Infant, Newborn , Probiotics/administration & dosage , Probiotics/therapeutic use , Hospitalization/statistics & numerical data , Retrospective Studies , Female , Male , Infant , Gestational Age , Infant, Premature , Incidence , Risk Factors , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/prevention & controlABSTRACT
BACKGROUND: The process of identifying drug-related hospitalisations is subjective and time-consuming. Assessment tool for identifying hospital admissions related to medications (AT-HARM10) was developed to simplify and objectify this process. AT-HARM10 has not previously been externally validated, thus the predictive precision of the tool is uncertain. AIM: To externally validate AT-HARM10 in adult patients admitted to the emergency department (ED). METHOD: This retrospective cross-sectional study investigated 402 patients admitted to the ED, Diakonhjemmet Hospital, Oslo, Norway. A trained 5th-year pharmacy student used AT-HARM10 to assess all patients and to classify their ED visits as possibly or unlikely drug-related. Assessment of the same patients by an interdisciplinary expert panel acted as the gold standard. The external validation was conducted by comparing AT-HARM10 classifications with the gold standard. RESULTS: According to AT-HARM10 assessments, 169 (42%) patients had a possible drug-related ED visit. Calculated sensitivity and specificity values were 95% and 71%, respectively. Further, positive and negative predictive values were 46% and 98%, respectively. Adverse effects/over-treatment and suboptimal treatment were the issues most frequently overestimated by AT-HARM10 compared with the gold standard. CONCLUSION: AT-HARM10 identifies drug-related ED visits with high sensitivity. However, the low positive predictive value indicates that further review of ED visits classified as possible drug-related by AT-HARM10 is necessary. AT-HARM10 can serve as a useful first-step screening that efficiently identifies unlikely drug-related ED visits, thus only a smaller proportion of the patients need to be reviewed by an interdisciplinary expert panel.
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AIMS: We aimed to investigate temporal trends in all-cause mortality, heart failure (HF) hospitalisation, and stroke from 1997 to 2018 in patients diagnosed with both HF and atrial fibrillation (AF). METHODS AND RESULTS: From Danish nationwide registers, we identified 152 059 patients with new-onset HF between 1997 and 2018. Patients were grouped according to year of new-onset HF and AF-status: Prevalent AF (n = 34 734), New-onset AF (n = 12 691), and No AF (n = 104 634). Median age decreased from 76 to 73 years between 1997 and 2018. The proportion of patients with prevalent or new-onset AF increased from 24.7% (n = 9256) to 35.8% (n = 14 970). Five-year risk of all-cause mortality went from 69.1% (CI: 67.9%-70.2%) to 51.3% (CI: 49.9%-52.7%), 62.3% (CI: 60.5%-64.4%) to 43.0% (CI: 40.5%-45.5%), and 61.9% (CI: 61.3%-62.4%) to 36.7% (CI: 35.9%-37.6%) for the Prevalent AF, New-onset AF and No AF-group, respectively. Minimal changes were observed in the risk of HF-hospitalisation. Five-year stroke risk decreased from 8.5% (CI: 7.8%-9.1%) to 5.0% (CI: 4.4%-5.5%) for the prevalent AF group, 8.2% (CI: 7.2%-9.2%) to 4.6% (CI: 3.7%-5.5%) for new-onset AF, and 6.3% (CI: 6.1%-6.6%) to 4.9% (CI: 4.6%-5.3%) for the No AF group. Simultaneously, anticoagulant therapy increased for patients with prevalent (from 42.7% to 93.1%) and new-onset AF (from 41.9% to 92.5%). CONCLUSION: From 1997 to 2018, we observed an increase in patients with HF and co-existing AF. Mortality decreased for all patients, regardless of AF-status. Anticoagulation therapy increased, and stroke risk for patients with AF was reduced to a similar level as patients without AF in 2013-2018.
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BACKGROUND: The COVID-19 pandemic has had several phases with varying characteristics. We aimed to compare severity outcomes in different phases in a population with limited bias from risk factors. METHODS: In a nationwide observational study of all unvaccinated first-time COVID-19 test positive individuals in Sweden aged 18-64 years without comorbidity, from week 45 of 2020 to week 5 of 2022, variant periods with certain variants constituting ≥ 92 % of all whole genome-sequenced cases nationwide, were compared regarding hospitalisation (with main discharge code of COVID-19), severe illness (use of high-flow nasal oxygen or admission to intensive care unit), and death due to COVID-19. Logistic regression was used to estimate odds ratios (ORs) for comparison of these outcomes between variant periods, using adjustments for variant period, age, sex, country of birth, place of residence, income, and education. FINDINGS: The study included 789,133 individuals, including 15,145 hospitalised individuals. Among all individuals, the adjusted ORs for hospitalisation were 1.7 for the Alpha period vs the Pre-variant period (week 45-52 2020), 1.8 for the Delta period vs the Alpha period, and 0.1 for the Omicron period vs the Delta period (all comparisons significant). Among hospitalised individuals, the adjusted ORs for severe illness were 1.4 for the Alpha period vs the Pre-variant period, 1.7 for the Delta period vs the Alpha period, and 0.5 for the Omicron period vs the Delta period (all comparisons significant), and the adjusted ORs for death were 1.1 for the Alpha period vs the Pre-variant period (non-significant), 1.8 for the Delta period vs the Alpha period (significant), and 0.1 for the Omicron period vs the Delta period (non-significant). INTERPRETATION: In this population with limited bias from risk factors, vaccination, and previous infection, disease severity increased from the pre-variant to the Delta period and then decreased with the Omicron period, among all individuals and among hospitalised individuals. These severity outcome differences should be considered when the pandemic is evaluated.
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BACKGROUND: Transitioning to end-of-life care and thereby changing the focus of treatment directives from life-sustaining treatment to comfort care is important for neurological patients in advanced stages. Late transition to end-of-life care for neurological patients has been described previously. OBJECTIVE: To investigate whether previous treatment directives, primary medical diagnoses, and demographic factors predict the transition to end-of-life care and time to eventual death in patients with neurological diseases in an acute hospital setting. METHOD: All consecutive health records of patients diagnosed with stroke, amyotrophic lateral sclerosis (ALS), and Parkinson's disease or other extrapyramidal diseases (PDoed), who died in an acute neurological ward between January 2011 and August 2020 were retrieved retrospectively. Descriptive statistics and multivariate Cox regression were used to examine the timing of treatment directives and death in relation to medical diagnosis, age, gender, and marital status. RESULTS: A total of 271 records were involved in the analysis. Patients in all diagnostic categories had a treatment directive for end-of-life care, with patients with haemorrhagic stroke having the highest (92%) and patients with PDoed the lowest (73%) proportion. Cox regression identified that the likelihood of end-of-life care decision-making was related to advancing age (HR = 1.02, 95% CI: 1.007-1.039, P = 0.005), ischaemic stroke (HR = 1.64, 95% CI: 1.034-2.618, P = 0.036) and haemorrhagic stroke (HR = 2.04, 95% CI: 1.219-3.423, P = 0.007) diagnoses. End-of-life care decision occurred from four to twenty-two days after hospital admission. The time from end-of-life care decision to death was a median of two days. Treatment directives, demographic factors, and diagnostic categories did not increase the likelihood of death following an end-of-life care decision. CONCLUSIONS: Results show not only that neurological patients transit late to end-of-life care but that the timeframe of the decision differs between patients with acute neurological diseases and those with progressive neurological diseases, highlighting the particular significance of the short timeframe of patients with the progressive neurological diseases ALS and PDoed. Different trajectories of patients with neurological diseases at end-of-life should be further explored and clinical guidelines expanded to embrace the high diversity in neurological patients.
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Nervous System Diseases , Terminal Care , Humans , Male , Terminal Care/methods , Terminal Care/statistics & numerical data , Female , Aged , Middle Aged , Retrospective Studies , Nervous System Diseases/therapy , Nervous System Diseases/diagnosis , Nervous System Diseases/epidemiology , Aged, 80 and over , Amyotrophic Lateral Sclerosis/therapy , Amyotrophic Lateral Sclerosis/diagnosis , Amyotrophic Lateral Sclerosis/mortalityABSTRACT
Background: It remains unclear how to meaningfully classify people living with multimorbidity (multiple long-term conditions (MLTCs)), beyond counting the number of conditions. This paper aims to identify clusters of MLTCs in different age groups and associated risks of adverse health outcomes and service use. Methods: Latent class analysis was used to identify MLTCs clusters in different age groups in three cohorts: Secure Anonymised Information Linkage Databank (SAIL) (n = 1,825,289), UK Biobank (n = 502,363), and the UK Household Longitudinal Study (UKHLS) (n = 49,186). Incidence rate ratios (IRR) for MLTC clusters were computed for: all-cause mortality, hospitalisations, and general practice (GP) use over 10 years, using <2 MLTCs as reference. Information on health outcomes and service use were extracted for a ten year follow up period (between 01st Jan 2010 and 31st Dec 2019 for UK Biobank and UKHLS, and between 01st Jan 2011 and 31st Dec 2020 for SAIL). Findings: Clustering MLTCs produced largely similar results across different age groups and cohorts. MLTC clusters had distinct associations with health outcomes and service use after accounting for LTC counts, in fully adjusted models. The largest associations with mortality, hospitalisations and GP use in SAIL were observed for the "Pain+" cluster in the age-group 18-36 years (mortality IRR = 4.47, hospitalisation IRR = 1.84; GP use IRR = 2.87) and the "Hypertension, Diabetes & Heart disease" cluster in the age-group 37-54 years (mortality IRR = 4.52, hospitalisation IRR = 1.53, GP use IRR = 2.36). In UK Biobank, the "Cancer, Thyroid disease & Rheumatoid arthritis" cluster in the age group 37-54 years had the largest association with mortality (IRR = 2.47). Cardiometabolic clusters across all age groups, pain/mental health clusters in younger groups, and cancer and pulmonary related clusters in older age groups had higher risk for all outcomes. In UKHLS, MLTC clusters were not significantly associated with higher risk of adverse outcomes, except for the hospitalisation in the age-group 18-36 years. Interpretation: Personalising care around MLTC clusters that have higher risk of adverse outcomes may have important implications for practice (in relation to secondary prevention), policy (with allocation of health care resources), and research (intervention development and targeting), for people living with MLTCs. Funding: This study was funded by the National Institute for Health and Care Research (NIHR; Personalised Exercise-Rehabilitation FOR people with Multiple long-term conditions (multimorbidity)-NIHR202020).
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BACKGROUND: Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are non-communicable diseases that impose a significant economic burden on healthcare systems, particularly in low- and middle-income countries. The purpose of this study was to evaluate the hospital treatment cost for cardiovascular disease events (CVDEs) in patients with and without diabetes and identify factors influencing cost. METHOD: We conducted a retrospective, cross-sectional study using administrative data from three public tertiary hospitals in Malaysia. Data for hospital admissions between 1 March 2019 and 1 March 2020 with International Classification of Diseases 10th Revision (ICD-10) codes for acute myocardial infarction (MI), ischaemic heart disease (IHD), hypertensive heart disease, stroke, heart failure, cardiomyopathy, and peripheral vascular disease (PVD) were retrieved from the Malaysian Disease Related Group (Malaysian DRG) Casemix System. Patients were stratified by T2DM status for analyses. Multivariate logistic regression was used to identify factors influencing treatment costs. RESULTS: Of the 1,183 patients in our study cohort, approximately 60.4% had T2DM. The most common CVDE was acute MI (25.6%), followed by IHD (25.3%), hypertensive heart disease (18.9%), stroke (12.9%), heart failure (9.4%), cardiomyopathy (5.7%) and PVD (2.1%). Nearly two-thirds (62.4%) of the patients had at least one cardiovascular risk factor, with hypertension being the most prevalent (60.4%). The treatment cost for all CVDEs was RM 4.8 million and RM 3.7 million in the T2DM and non-T2DM group, respectively. IHD incurred the largest cost in both groups, constituting 30.0% and 50.0% of the total CVDE treatment cost for patients with and without T2DM, respectively. Predictors of high treatment cost included male gender, non-minority ethnicity, IHD diagnosis and moderate-to-high severity level. CONCLUSION: This study provides real-world cost estimates for CVDE hospitalisation and quantifies the combined burden of two major non-communicable disease categories at the public health provider level. Our results confirm that CVDs are associated with substantial health utilisation in both T2DM and non-T2DM patients.
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Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Humans , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/economics , Diabetes Mellitus, Type 2/epidemiology , Retrospective Studies , Male , Female , Malaysia/epidemiology , Middle Aged , Cardiovascular Diseases/economics , Cardiovascular Diseases/epidemiology , Cross-Sectional Studies , Aged , Adult , Hospitalization/economics , Hospitalization/statistics & numerical data , Hospital Costs/statistics & numerical dataABSTRACT
BACKGROUND: Soteria houses and peer respites, collectively called Healing Houses, are alternatives to psychiatric hospitalisation. AIMS: The aim of this research is to review Healing Houses in relation to design characteristics (architectural and service), sustainability and development opportunities and barriers. METHODS: This systematic review followed a PROSPERO protocol (CRD42022378089). Articles were identified from journal database searches, hand searching websites, Google Scholar searches, expert consultation and backwards and forward citation searches. RESULTS: Eight hundred and forty-nine documents were screened in three languages (English, German and Hebrew) and 45 documents were included from seven countries. The review highlights 11 architectural design characteristics (atmosphere, size, soft room, history, location, outdoor space, cleanliness, interior design, facilities, staff only areas and accessibility), six service design characteristics (guiding principles, living and working together, consensual treatment, staff, supporting personal meaning making and power), five opportunities (outcomes, human rights, economics, hospitalization and underserved) and four types of barriers (clinical, economic and regulatory, societal and ideological). The primary sustainability issue was long-term funding. CONCLUSION: Future research should focus on operationalizing a "home-like" atmosphere and the impact of design features such as green spaces on wellbeing of staff and service users. Future research could also produce design guidelines for Healing Houses.
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OBJECTIVES: COVID-19 Omicron subvariants typically cause milder disease than previous strains, yet many patients were still admitted to hospital for acute care. We audited reasons for and details of admissions to identify opportunities to reduce hospitalisations. METHODS: We reviewed all admitted patients who tested positive for SARS-CoV-2 from 1st December 2022 to 30th January 2023. RESULTS: Of 600 patients with a positive COVID-19 polymerase chain reaction, 222(37%) were considered incidental diagnoses. Reasons for admission for symptomatic COVID-19 (375 patients, 63%) included worsening symptoms (226, 60%), exacerbation of comorbidities (89, 24%), and difficulty managing at home (38, 10%). Almost half were classified as a mild infection (175, 47%). Of the 231 patients aged over 70 years, only 55 (24%) had prior antiviral therapy, and 90 (39%) had 4+ vaccine doses. Patients speaking language other than English and having country of birth other than Australia were significantly associated with lower vaccination rates and not having antivirals prior to admission. CONCLUSIONS: One-third of COVID-19 hospital admissions were incidental, and half were for mild disease. Many patients had not received appropriate vaccination or antivirals in the community. IMPLICATIONS FOR PUBLIC HEALTH: Improving uptake of vaccinations and antivirals, and increasing community support, with a focus on people from culturally and linguistically diverse backgrounds, may reduce the burden of COVID-19 on hospitals.
Subject(s)
COVID-19 , Hospitalization , SARS-CoV-2 , Humans , COVID-19/epidemiology , Male , Female , Hospitalization/statistics & numerical data , Aged , Middle Aged , Australia/epidemiology , Adult , Aged, 80 and over , Antiviral Agents/therapeutic use , Tertiary Healthcare/statistics & numerical dataABSTRACT
OBJECTIVE: To assess associations between housing characteristics and risk of hospital admissions related to falls on/from stairs in children, to help inform prevention measures. STUDY DESIGN: An existing dataset of birth records linked to hospital admissions up to age 5 for a cohort of 3â925â737 children born in England between 2008 and 2014, was linked to postcode-level housing data from Energy Performance Certificates. Association between housing construction age, tenure (eg, owner occupied), and built form and risk of stair fall-related hospital admissions was estimated using Poisson regression. We stratified by age (<1 and 1-4 years), and adjusted for geographic region, Index of Multiple Deprivation, and maternal age. RESULTS: The incidence was higher in both age strata for children in neighborhoods with homes built before 1900 compared with homes built in 2003 or later (incidence rate ratio [IRR], 1.40; 95% CI, 1.10-1.77 [age <1 year], 1.20; 95% CI, 1.05-1.36 [age 1-4 years]). For those aged 1-4 years, the incidence was higher for those in neighborhoods with housing built between 1900 and 1929, compared with 2003 or later (IRR, 1.26; 95% CI, 1.13-1.41), or with predominantly social-rented homes compared with owner occupied (IRR, 1.21; 95% CI, 1.13-1.29). Neighborhoods with predominantly houses compared with flats had higher incidence (IRR, 1.24; 95% CI, 1.08-1.42 [<1 year] and IRR 1.16; 95% CI, 1.08-1.25 [1-4 years]). CONCLUSIONS: Changes in building regulations may explain the lower fall incidence in newer homes compared with older homes. Fall prevention campaigns should consider targeting neighborhoods with older or social-rented housing. Future analyses would benefit from data linkage to individual homes, as opposed to local area level.
ABSTRACT
OBJECTIVES: Indwelling urinary catheter is closely associated with the occurrence of urinary tract infection (UTI). Herein, we further explored the correlation of urinary catheter indwelling time and UTI. METHODS: Retrospectively, the medical data of nosocomial patients (n = 681) were collected during two quarters of April 2023 to June 2023 (the second quarter, 23.4-23.6, n = 330) and July 2023 to September 2023 (the third quarter, 23.7-23.9, n = 351). The baseline data and incidence of catheter-related UTI were analysed. The total hospitalisation days and indwelling urinary catheter days of patients in five departments were assessed, namely, coronary care unit (CCU), respiratory intensive care unit (RICU), surgical intensive care unit (SICU), neurology intensive care unit (NICU) and cardiac surgical intensive care unit (CSICU) departments. The correlation between hospitalisation days/indwelling urinary catheter days and the occurrence of UTI was evaluated by Spearman correlation analysis. RESULTS: In the CCU, RICU, SICU, NICU and CSICU departments, the number of patients was 463, 83, 29, 91 and 15, respectively. During 23.4-23.6, the incidence of catheter-associated UTI (CAUTI) was 0, 2.85, 6.12, 0 and 12.99 per 1000 urinary catheter days in CCU, RICU, SICU, NICU and CSICU, respectively. During 23.7-23.9, the incidence of CAUTI was 2.98, 6.13, 8.66, 0 and 0 per 1000 urinary catheter days in CCU, RICU, SICU, NICU and CSICU, respectively. Notably, hospitalisation days/indwelling urinary catheter days were positively correlated with the occurrence of CAUTI in each quarter (p < 0.05). CONCLUSIONS: There was a positive correlation between urinary catheter indwelling time and the occurrence of UTI.