PP259 Invisible Resilience: The Value Of Medical Technology In Reducing Population And Health Systems’ Vulnerability To COVID-19.

2021 ◽  
Vol 37 (S1) ◽  
pp. 31-31
Author(s):  
Lotte Steuten ◽  
Bernarda Zamora ◽  
Mickael Lothgren ◽  
Andrew Bruce ◽  
Adrian Towse
Keyword(s):  
Health Systems ◽  
Hospital Admissions ◽  
Health Technology ◽  
Hospital Death ◽  
Icu Admission ◽  
Control Blood Glucose ◽  
Exposed Population ◽  
Hospital Deaths ◽  
Prevalence Proportion ◽  
The Uk

IntroductionCOVID-19 has exposed population and health systems’ vulnerability to a highly infectious disease. People with diabetes have a higher risk of COVID-19 hospitalization and death than those without. Medicines that control blood glucose reduce this risk. We quantified COVID-19 hospital admissions and deaths averted by diabetes medicines in the UK during the March-May 2020 wave.MethodsWe estimated COVID-19 hospital and intensive care unit (ICU) admissions averted and COVID-19 hospital deaths avoided by diabetes medicines, considering a counterfactual where those medicines were not available. We used published UK-data sources on diabetes prevalence, proportion of patients achieving diabetes control with medicines, COVID-19 infection risk, probabilities for COVID-19 hospital admission, subsequent ICU admission and hospital death. We calculated the relative risk reduction of controlled vs. uncontrolled diabetes on COVID-19 hospital or ICU admission (71% and 66%, respectively), and hospital death (38%) from the UK Open Safely data.ResultsDiabetes medicines are estimated to have averted 17,417 hospital admissions, 2,752 ICU-admissions and 438 hospital deaths due to COVID-19 compared to a counterfactual where those medicines had not been available in the UK.ConclusionsEffective medicines to control diabetes contribute to population and health systems resilience against COVID-19. Health technology assessment and policy makers should recognize that adoption and usage of health technology reduces societies’ vulnerability to similar shocks.

scholarly journals Hospitalization at the end of life among nursing home residents with dementia: a systematic review

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Falk Hoffmann ◽  
Anke Strautmann ◽  
Katharina Allers
Keyword(s):  
Systematic Review ◽  
Nursing Home ◽  
End Of Life ◽  
Age Groups ◽  
Nursing Home Residents ◽  
Hospital Death ◽  
Registration Number ◽  
Hospital Deaths ◽  
Reported Data ◽  
The Uk

Abstract Background Half of nursing home residents (NHR) suffer from dementia. End-of-life hospitalizations are often burdensome in residents with dementia. A systematic review was conducted to study the occurrence of hospitalizations at the end of life in NHR with dementia and to compare these figures to NHR without dementia. Methods A systematic literature search in MEDLINE, CINAHL and Scopus was conducted in May 2018. Studies were included if they reported proportions of in-hospital deaths or hospitalizations of NHR with dementia in the last month of life. Two authors independently selected studies, extracted data, and assessed quality of studies. Results Nine hundred forty-five citations were retrieved; 13 studies were included. Overall, 7 studies reported data on in-hospital death with proportions ranging between 0% in Canada and 53.3% in the UK. Studies reporting on the last 30 days of life (n = 8) varied between 8.0% in the Netherlands and 51.3% in Germany. Two studies each assessed the influence of age and sex. There seem to be fewer end-of-life hospitalizations in older age groups. The influence of sex is inconclusive. All but one study found that at the end of life residents with dementia were hospitalized less often than those without (n = 6). Conclusions We found large variations in end-of-life hospitalizations of NHR with dementia, probably being explained by differences between countries. The influence of sex and age might differ when compared to residents without dementia. More studies should compare NHR with dementia to those without and assess the influence of sex and age. Trial registration PROSPERO registration number CRD42018104263.

scholarly journals Is seniority of emergency physician associated with the weekend mortality effect? An exploratory analysis of electronic health records in the UK

2019 ◽  
pp. emermed-2018-208114
Author(s):  
Larry Han ◽  
Jason Fine ◽  
Susan M Robinson ◽  
Adrian A Boyle ◽  
Michael Freeman ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Hospital Admissions ◽  
Severity Of Illness ◽  
Weekend Effect ◽  
University Hospital ◽  
Hospital Death ◽  
Junior Doctors ◽  
Hazards Model ◽  
Mortality Effect ◽  
The Uk

ObjectiveAdmission to hospital over a weekend is associated with increased mortality, but the underlying causes of the weekend effect are poorly understood. We explore to what extent differences in emergency department (ED) admission and discharge processes, severity of illness and the seniority of the treating physician explain the weekend effect.MethodsWe analysed linked ED attendances to hospital admissions to Cambridge University Hospital over a 7-year period from 1 January 2007 to 31 December 2013, with 30-day in-hospital death as the primary outcome and discharge as a competing risk. The primary exposure was day of the week of arrival. Subdistribution hazards models controlled for multiple confounders, including physician seniority, calendar year, mode of arrival, triage category, referral from general practice, sex, arrival time, prior attendances and admissions, diagnosis group and age.Results229 401 patients made 424 845 ED attendances, of which 158 396 (37.3%) were admitted to the hospital. The case-mix of admitted patients was more ill at weekends: 2530 (6.4%) admitted at a weekend required immediate resuscitation compared with 6450 (5.4%) admitted on a weekday (p<0.0001). Senior doctors admitted 24.8% of patients on weekdays and 24.0% at weekends, but junior doctors admitted 61.7% of patients on weekdays and 44.2% at weekends. 3947 (3.3%) patients admitted on a weekday and 1454 (3.7%) patients admitted at a weekend died within 30 days. In the adjusted subdistribution hazards model, the HR of in-hospital death was 1.11 (95% CI 1.04 to 1.18) for weekend arrivals. After controlling for confounders, the in-hospital mortality of patients admitted by junior doctors was greater at the weekend (adjusted HR (aHR) 1.15, 95% CI 1.06 to 1.24). In-hospital mortality for patients admitted by senior doctors was not statistically different at the weekend (aHR 1.08, 95% CI 0.98 to 1.19).ConclusionsOur findings suggest that the weekend effect was driven by a higher proportion of admitted patients requiring immediate resuscitation at the weekend. Junior doctors admitted a lower proportion of relatively healthy patients at the weekend compared with the weekday, thus diluting the risk pool of weekday admissions and contributing to the weekend effect. Senior doctors’ admitting behaviour did not change at the weekend, and the corresponding weekend effect was reduced.

288 Challenges in reducing hospital deaths in multiple sclerosis

2018 ◽  
Vol 89 (10) ◽  
pp. A44.2-A44
Author(s):  
Nicholas Richard ◽  
Nicholas Emma ◽  
Koffman Jonathan
Keyword(s):  
Multiple Sclerosis ◽  
Family Involvement ◽  
Multivariable Analysis ◽  
Tissue Bank ◽  
Care Plan ◽  
Hospital Death ◽  
Key Factors ◽  
Hospital Deaths ◽  
The Uk ◽  
Mean Time

IntroductionFifty-five percent of people with multiple sclerosis (pwMS) will die in hospital, above the national average. This study aimed to determine factors that impact place of death for pwMS.MethodsRetrospective sequential notes review from the UK MS Tissue Bank.ResultsThirty notes were reviewed from 18/06/12% to 08/09/16. 53% died in hospital, 23% in nursing homes, 13% at home and 10% in hospices. Health interventions increased in year of death versus year prior to death in community (p=0.0369) and primary care (p=0.002) but not in secondary care but were not associated with a non-hospital death (NHD). Recognition of dying (73%, p=0.0024) and having an advanced care plan (ACP) (67%, p=0.0003) were associated with NHD. Family involvement was associated with recognition of dying (p=0.0146) but not with NHD. Multivariable analysis found recognition a person is dying and having an ACP were independently predictive of NHD (R2=0.52, p=0.034). The mean time prior to death of having an ACP (9.6±8.1 months) was months prior from when dying was recognised (17.4±27 days, p=0.0004).ConclusionHaving an ACP and recognition a pwMS is dying are key factors to achieving a NHD. This study highlights the challenges to reducing hospital deaths in MS.

scholarly journals Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Cox Proportional Hazards ◽  
Secondary Outcome ◽  
Hospital Death ◽  
Factors Associated ◽  
Icu Admission ◽  
Hospitalised Patients

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

scholarly journals Collateral impact of COVID-19: why should children continue to suffer?

2021 ◽  
Author(s):  
Prasad Nagakumar ◽  
Ceri-Louise Chadwick ◽  
Andrew Bush ◽  
Atul Gupta
Keyword(s):  
Young People ◽  
Large Scale ◽  
Hospital Admissions ◽  
Severe Disease ◽  
Children And Young People ◽  
Collateral Effects ◽  
Rsv Infection ◽  
Syncytial Virus ◽  
Set Up ◽  
The Uk

AbstractThe COVID-19 pandemic caused by SARS-COV-2 virus fortunately resulted in few children suffering from severe disease. However, the collateral effects on the COVID-19 pandemic appear to have had significant detrimental effects on children affected and young people. There are also some positive impacts in the form of reduced prevalence of viral bronchiolitis. The new strain of SARS-COV-2 identified recently in the UK appears to have increased transmissibility to children. However, there are no large vaccine trials set up in children to evaluate safety and efficacy. In this short communication, we review the collateral effects of COVID-19 pandemic in children and young people. We highlight the need for urgent strategies to mitigate the risks to children due to the COVID-19 pandemic. What is Known:• Children and young people account for <2% of all COVID-19 hospital admissions• The collateral impact of COVID-19 pandemic on children and young people is devastating• Significant reduction in influenza and respiratory syncytial virus (RSV) infection in the southern hemisphere What is New:• The public health measures to reduce COVID-19 infection may have also resulted in near elimination of influenza and RSV infections across the globe• A COVID-19 vaccine has been licensed for adults. However, large scale vaccine studies are yet to be initiated although there is emerging evidence of the new SARS-COV-2 strain spreading more rapidly though young people.• Children and young people continue to bear the collateral effects of COVID-19 pandemic

scholarly journals Comparison of Cancer Patients to Non-Cancer Patients among COVID-19 Inpatients at a National Level

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1436
Author(s):  
Alain Bernard ◽  
Jonathan Cottenet ◽  
Philippe Bonniaud ◽  
Lionel Piroth ◽  
Patrick Arveux ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Mortality Risk ◽  
Hospital Admissions ◽  
National Level ◽  
Administrative Database ◽  
Hospital Death ◽  
Solid Cancer ◽  
Hematological Cancer ◽  
Risk Of Death

(1) Background: Several smaller studies have shown that COVID-19 patients with cancer are at a significantly higher risk of death. Our objective was to compare patients hospitalized for COVID-19 with cancer to those without cancer using national data and to study the effect of cancer on the risk of hospital death and intensive care unit (ICU) admission. (2) Methods: All patients hospitalized in France for COVID-19 in March–April 2020 were included from the French national administrative database, which contains discharge summaries for all hospital admissions in France. Cancer patients were identified within this population. The effect of cancer was estimated with logistic regression, adjusting for age, sex and comorbidities. (3) Results: Among the 89,530 COVID-19 patients, we identified 6201 cancer patients (6.9%). These patients were older and were more likely to be men and to have complications (acute respiratory and kidney failure, venous thrombosis, atrial fibrillation) than those without cancer. In patients with hematological cancer, admission to ICU was significantly more frequent (24.8%) than patients without cancer (16.4%) (p < 0.01). Solid cancer patients without metastasis had a significantly higher mortality risk than patients without cancer (aOR = 1.4 [1.3–1.5]), and the difference was even more marked for metastatic solid cancer patients (aOR = 3.6 [3.2–4.0]). Compared to patients with colorectal cancer, patients with lung cancer, digestive cancer (excluding colorectal cancer) and hematological cancer had a higher mortality risk (aOR = 2.0 [1.6–2.6], 1.6 [1.3–2.1] and 1.4 [1.1–1.8], respectively). (4) Conclusions: This study shows that, in France, patients with COVID-19 and cancer have a two-fold risk of death when compared to COVID-19 patients without cancer. We suggest the need to reorganize facilities to prevent the contamination of patients being treated for cancer, similar to what is already being done in some countries.

scholarly journals Hospital-based acute care in the last 30 days of life among patients with chronic disease that received early, late or no specialist palliative care: a retrospective cohort study of eight chronic disease groups

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e044196
Author(s):  
Madalene Earp ◽  
Pin Cai ◽  
Andrew Fong ◽  
Kelly Blacklaws ◽  
Truong-Minh Pham ◽  
...  
Keyword(s):  
Palliative Care ◽  
Cohort Study ◽  
Heart Disease ◽  
Chronic Disease ◽  
Acute Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hospital Admissions ◽  
Specialist Palliative Care ◽  
Icu Admission

ObjectiveFor eight chronic diseases, evaluate the association of specialist palliative care (PC) exposure and timing with hospital-based acute care in the last 30 days of life.DesignRetrospective cohort study using administrative data.SettingAlberta, Canada between 2007 and 2016.Participants47 169 adults deceased from: (1) cancer, (2) heart disease, (3) dementia, (4) stroke, (5) chronic lower respiratory disease (chronic obstructive pulmonary disease (COPD)), (6) liver disease, (7) neurodegenerative disease and (8) renovascular disease.Main outcome measuresThe proportion of decedents who experienced high hospital-based acute care in the last 30 days of life, indicated by ≥two emergency department (ED) visit, ≥two hospital admissions,≥14 days of hospitalisation, any intensive care unit (ICU) admission, or death in hospital. Relative risk (RR) and risk difference (RD) of hospital-based acute care given early specialist PC exposure (≥90 days before death), adjusted for patient characteristics.ResultsIn an analysis of all decedents, early specialist PC exposure was associated with a 32% reduction in risk of any hospital-based acute care as compared with those with no PC exposure (RR 0.69, 95% CI 0.66 to 0.71; RD 0.16, 95% CI 0.15 to 0.17). The association was strongest in cancer-specific analyses (RR 0.53, 95% CI 0.50 to 0.55; RD 0.31, 95% CI 0.29 to 0.33) and renal disease-specific analyses (RR 0.60, 95% CI 0.43 to 0.84; RD 0.22, 95% CI 0.11 to 0.34), but a~25% risk reduction was observed for each of heart disease, COPD, neurodegenerative diseases and stroke. Early specialist PC exposure was associated with reducing risk of four out of five individual indicators of high hospital-based acute care in the last 30 days of life, including ≥two ED visit,≥two hospital admission, any ICU admission and death in hospital.ConclusionsEarly specialist PC exposure reduced the risk of hospital-based acute care in the last 30 days of life for all chronic disease groups except dementia.

scholarly journals Characterization of bariatric surgery and outcomes using administrative claims data in the research network of a nationwide commercial health plan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinli Ma ◽  
Michael Mack ◽  
Sonali Shambhu ◽  
Kathleen McTigue ◽  
Kevin Haynes
Keyword(s):  
Bariatric Surgery ◽  
Health Systems ◽  
Comparative Effectiveness ◽  
Claims Data ◽  
Research Network ◽  
Hospital Death ◽  
Administrative Claims ◽  
Administrative Claims Data ◽  
Abdominal Operations

Abstract Background The supplementation of electronic health records data with administrative claims data may be used to capture outcome events more comprehensively in longitudinal observational studies. This study investigated the utility of administrative claims data to identify outcomes across health systems using a comparative effectiveness study of different types of bariatric surgery as a model. Methods This observational cohort study identified patients who had bariatric surgery between 2007 and 2015 within the HealthCore Anthem Research Network (HCARN) database in the National Patient-Centered Clinical Research Network (PCORnet) common data model. Patients whose procedures were performed in a member facility affiliated with PCORnet Clinical Research Networks (CRNs) were selected. The outcomes included a 30-day composite adverse event (including venous thromboembolism, percutaneous/operative intervention, failure to discharge and death), and all-cause hospitalization, abdominal operation or intervention, and in-hospital death up to 5 years after the procedure. Outcomes were classified as occurring within or outside PCORnet CRN health systems using facility identifiers. Results We identified 4899 patients who had bariatric surgery in one of the PCORnet CRN health systems. For 30-day composite adverse event, the inclusion of HCARN multi-site claims data marginally increased the incidence rate based only on HCARN single-site claims data for PCORnet CRNs from 3.9 to 4.2%. During the 5-year follow-up period, 56.8% of all-cause hospitalizations, 31.2% abdominal operations or interventions, and 32.3% of in-hospital deaths occurred outside PCORnet CRNs. Incidence rates (events per 100 patient-years) were significantly lower when based on claims from a single PCORnet CRN only compared to using claims from all health systems in the HCARN: all-cause hospitalization, 11.0 (95% Confidence Internal [CI]: 10.4, 11.6) to 25.3 (95% CI: 24.4, 26.3); abdominal operations or interventions, 4.2 (95% CI: 3.9, 4.6) to 6.1 (95% CI: 5.7, 6.6); in-hospital death, 0.2 (95% CI: 0.11, 0.27) to 0.3 (95% CI: 0.19, 0.38). Conclusions Short-term inclusion of multi-site claims data only marginally increased the incidence rate computed from single-site claims data alone. Longer-term follow up captured a notable number of events outside of PCORnet CRNs. The findings suggest that supplementing claims data improves the outcome ascertainment in longitudinal observational comparative effectiveness studies.

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