Predictors of Place of Death for Seniors in Ontario: A Population-Based Cohort Analysis

2006 ◽  
Vol 25 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Sanober S. Motiwala ◽  
Ruth Croxford ◽  
Denise N. Guerriere ◽  
Peter C. Coyte

ABSTRACTPlace of death was determined for all 58,689 seniors (age ≥ 66 years) in Ontario who died during fiscal year 2001/2002. The relationship of place of death to medical and socio-demographic characteristics was examined using a multinomial logit model. Half (49.2%) of these individuals died in hospital, 30.5 per cent died in a long-term care facility, 9.6 per cent died at home while receiving home care, and 10.7 per cent died at home without home care. Co-morbidities were the strongest predictors of place of death (p< 0.0001). A cancer diagnosis increased the chances of death at home while receiving home care; seniors with dementia were most likely to die in LTC facilities; and those with major acute conditions were most likely to die in hospitals. Higher socio-economic status was associated with greater probability of dying at home but contributed little to the model. Appropriate planning and resource allocation may help move place of death from hospitals to nursing homes or the community, in accordance with individual preferences.

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Mats L. Junek ◽  
Aaron Jones ◽  
George Heckman ◽  
Catherine Demers ◽  
Lauren E. Griffith ◽  
...  

Abstract Background Functional status is a patient-important, patient-centered measurement. The utility of functional status measures to inform post-discharge patient needs is unknown. We sought to examine the utility of routinely collected functional status measures gathered from older hospitalized patients to predict a panel of post-discharge outcomes. Methods In this population-based retrospective cohort study, Adults 65+ discharged from an acute hospitalization between 4 November 2008 and 18 March 2016 in Ontario, Canada and received an assessment of functional status at discharge using the Health Outcomes for Better Information and Care tool were included. Multivariable regression analysis was used to determine the relationship between functional status and emergency department (ED) re-presentation, hospital readmission, long term care facility (LTCF) admission or wait listing (‘LTCF readiness’), and death at 180 days from discharge. Results A total of 80 020 discharges were included. 38 928 (48.6%) re-presented to the ED, 24 222 (30.3%) were re-admitted, 5 037 (6.3%) were LTCF ready, and 9 047 (11.3%) died at 180 days. Beyond age, diminished functional status at discharge was the factor most associated with LTCF readiness (adjusted Odds Ratio [OR] 4.11 for those who are completely dependent for activities of daily living compared to those who are independent; 95% Confidence Interval [CI]: 3.70-4.57) and death (OR 3.99; 95% CI: 3.67-4.35). Functional status also had a graded relationship with each outcome and improved the discriminability of the models predicting death and LTCF readiness (p<0.01) but not ED re-presentation or hospital re-admission. Conclusion Routinely collected functional status at discharge meaningfully improves the prediction of long term care home readiness and death. The routine assessment of functional status can inform post-discharge care and planning for older adults.


2018 ◽  
Vol 34 (4) ◽  
pp. 224-231 ◽  
Author(s):  
Roger W. Hunt ◽  
Katina D’Onise ◽  
Anh-Minh Thi Nguyen ◽  
Kamalesh Venugopal

Aims:To describe changes in the place of death of patients with cancer from 1990 to 2012, and to identify issues for their end-of-life care.Materials and Methods:Population-based descriptive study, with analyses of place of death patterns, using the South Australian Cancer Registry records of 86 257 patients with cancer who died from 1990 to 2012.Results:From 1990 to 2012, the proportion of cancer deaths in hospital decreased from 63.4% to 50.9%, and in nursing homes increased from 8.2% to 22.5%. After the year 2000, the proportions in hospices and at home were both below 15%. Multivariate analyses showed that young patients with cancer were more likely to die in a hospice or at home, compared to elderly patients with cancer who were more likely to die in a nursing home; the likelihood of dying in a hospice increased with socioeconomic status; patients with a short survival time or a hematological malignancy were more likely to die in a metropolitan hospital.Conclusions:Compared to most other countries, the proportion of cancer deaths at home was low, and many patients would not have died at their preferred place. The trend for more cancer deaths to occur in nursing homes is likely to continue, but nursing homes generally lack the resources and skilled staff to provide quality palliative care. Models of palliative care delivery should take account of patient preferences, the growth of terminal cancer care in nursing homes, and apparent inequities.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5867-5867
Author(s):  
Isabella Capodanno ◽  
Pierluigi Alfieri ◽  
Enrica Tamagnini ◽  
Katia Codeluppi ◽  
Stefano Luminari ◽  
...  

Abstract Purpose: Since July 2012, the Haematological Home Care (HHC) program was activated in our Institution to improve quality of assistance of patients with haematological malignancies, both in the terminal phase of disease and during active chemotherapy. Methods: We conducted a retrospective study to describe the 3-year experience of our HHC program; its efficacy was measured for acute leukaemia patients only analysing number of hospitalizations, number of accesses to the Emergency department and place of death. Our study population was also compared with historical data from a small group of 17 patients with acute leukaemia assisted at home, by their general practitioner, in the previous 3 years, when the HHC program was not available. Results: The study group consisted of 44 patients, 36 of whom (82%) needed a palliative treatment, while 8 (18%) had an ongoing active chemotherapy. The mean number of hospitalizations was 0.64 (range 0-7) per patient and the number of emergency department visits was 0.82 (range 0-4) per patient. Place of death was home environment in 51.4% and hospital in 40.5% of patients. When compared to data of the historical group, HCC program significantly reduced the number of hospitalizations (0.64 vs 2.53 per patient, range 0-9; P 0.001), significantly increased the number of patients who died at home (51.5% vs 6%; P=0.003) and reduced those who died in hospital (40.5% vs 65%; P 0.003). Conclusions: Home care for patients with acute leukaemia is feasible, decreases the number of hospitalizations, and increases the number of patients who die in their own home. Figure. Figure. Disclosures Luminari: Servier: Consultancy; Gilead: Consultancy; Celgene: Consultancy; Roche: Consultancy; Sandoz: Consultancy.


2020 ◽  
Author(s):  
Yakir Rottenberg ◽  
Gil Goldzweig ◽  
Adir Shaulov

Abstract Background: Most cancer patients want to die at home; however, many die in hospital. The aim of the current study is to elucidate the correlation between dying at home and various personal factors in the Israeli population of cancer patients.Methods: Data on cancer incidence (2008-2015) and death (2008-2017) was provided by the Israeli Central Bureau of Statistics and the Israel National Cancer Registry. Binary logistic regression analyses were performed to assess odds ratios for death at home following cancer diagnosis while controlling for age, sex, ethnicity, years of education, residential socioeconomic score, and time from diagnosis. We also assessed the relation between place of death and specific cancer sites, as well as the time trend from 2008-2017.Results: About one quarter (26.7%) of the study population died at home. Death at home was most frequent among patients diagnosed with brain tumors (37.0%), while it was the lowest among patients with hematologic malignancies (lymphoma and leukemia, 20.3% and 20.0%, respectively). Rates of dying at home among patients with residential socioeconomic scores of 1, 2-9, and 10 were about 15%, 30%, and 42.9%, respectively. In patients from the 4th to the 7th decades of life, rates of death at home increased at a linear rate that increased exponentially from the 8th decade onwards. After controlling for potential confounders, predictive variables for death at home included age (HR=1.020 per year), male sex (HR=1.18), years of education (HR=1.029 per year), and time from diagnosis (HR=1.003 per month, all p<0.001). No trend was seen from 2008-2013, while from 2014-2017 a slight increase in the rate of death at home was seen each year.Conclusions: These results indicate that inequality exists among cancer patients in Israel regarding the opportunity to die at home. The present findings stress the importance of delivering efficient palliative care at home, mainly for patients with hematologic malignancies, younger patients, and patients of very low socioeconomic statuses. Understanding the complex mechanisms whereby patient preferences and the above variables may determine the preferred place of death remains an important research priority.


Author(s):  
Ida Rask Moustsen-Helms ◽  
Hanne-Dorthe Emborg ◽  
Jens Nielsen ◽  
Katrine Finderup Nielsen ◽  
Tyra Grove Krause ◽  
...  

AbstractBackgroundAt the end of 2020, Denmark launched an immunization program against SARS-CoV-2. The Danish health authorities prioritized persons currently living in long-term care facilities (LTCF residents) and frontline healthcare workers (HCW) as the first receivers of vaccination. Here we present preliminary population based vaccine effectiveness (VE) estimates in these two target groups.MethodsThe study was designed as a retrospective registry- and population-based observational cohort study including all LTCF residents and all HWC. The outcome was a polymerase chain reaction confirmed SARS-CoV-2, and VE was estimated for different periods following first and second dose. We used Poisson and Cox regressions to estimate respectively crude and calendar time-adjusted VE for the BNT162b2 mRNA Covid-19 Vaccine from Pfizer/BioNTech with 95% confidence intervals (CI) for vaccinated versus unvaccinated.ResultsA total of 39,040 LTCF residents (median age at first dose; 84 years, Interquartile range (IQR): 77-90) and 331,039 HCW (median age at first dose; 47 years, IQR: 36-57) were included. Among LTCF residents, 95.2% and 86.0% received first and second dose from 27 December 2020 until 18 February 2021, for HWC the proportion was 27.8% and 24.4%. During a median follow-up of 53 days, there were 488 and 5,663 confirmed SARS-CoV-2 cases in the unvaccinated groups, whereas there were 57 and 52 in LTCF residents and HCW within the first 7 days after the second dose and 27 and 10 cases beyond seven days of second dose. No protective effect was observed for LTCF residents after first dose. In HCW, VE was 17% (95% CI; 4-28) in the > 14 days after first dose (before second dose). Furthermore, the VE in LTCF residents at day 0-7 of second dose was 52% (95% CI; 27-69) and 46% (95% CI; 28-59) in HCW. Beyond seven days of second dose, VE increased to 64% (95% CI; 14-84) and 90% (95% CI; 82-95) in the two groups, respectively.ConclusionThe results were promising regarding the VE both within and beyond seven days of second vaccination with the BNT162b2 mRNA Covid-19 Vaccine currently used in many countries to help mitigate the global SARS-CoV-2 pandemic.Impact of the researchSo far, observational studies of the real-word effectiveness of the mRNA Vaccine BNT162b2 has been limited to the period after the administration of the first dose. This is the first report to date to present vaccine effectiveness (VE) estimates after the second BNT162b2 mRNA Covid-19 Vaccine. We estimated a VE of 52% and 46% in LTCF residents and HCW within seven days, which increased to 64% and 90% in the two groups respectively beyond seven days of immunization. These findings supports maintaining a two-dose schedule of the BNT162b2 mRNA Covid-19 Vaccine.


Author(s):  
Stephen Mac ◽  
Kali Barrett ◽  
Yasin A. Khan ◽  
David MJ Naimark ◽  
Laura Rosella ◽  
...  

AbstractBackgroundUnderstanding resource use for COVID-19 is critical. We conducted a population-based cohort study using public health data to describe COVID-19 associated age- and sex-specific acute care use, length of stay (LOS), and mortality.MethodsWe used Ontario’s Case and Contact Management (CCM) Plus database of individuals who tested positive for COVID-19 in Ontario from March 1 to September 30, 2020 to determine age- and sex-specific hospitalizations, intensive care unit (ICU) admissions, invasive mechanical ventilation (IMV) use, LOS, and mortality. We stratified analyses by month of infection to study temporal trends and conducted subgroup analyses by long-term care residency.ResultsDuring the observation period, 56,476 COVID-19 cases were reported (72% < 60 years, 52% female). The proportion of cases shifted from older populations (> 60 years) to younger populations (10-39 years) over time. Overall, 10% of individuals were hospitalized, of those 22% were admitted to ICU, and 60% of those used IMV. Mean LOS for individuals in the ward, ICU without IMV, and ICU with IMV was 12.8, 8.5, 20.5 days, respectively. Mortality for individuals receiving care in the ward, ICU without IMV, and ICU with IMV was 24%, 30%, and 45%, respectively. All outcomes varied by age and decreased over time, overall and within age groups.InterpretationThis descriptive study shows acute care use and mortality varying by age, and decreasing between March and September in Ontario. Improvements in clinical practice and changing risk distributions among those infected may contribute to fewer severe outcomes among those infected with COVID-19.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Heidi Kern ◽  
Giorgio Corani ◽  
David Huber ◽  
Nicola Vermes ◽  
Marco Zaffalon ◽  
...  

Abstract Background Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machine learning techniques to explore the complex network of factors and the cause-effect relationships affecting the place of death, with the ultimate aim of developing policies favouring home-based end-of-life care. Methods A data mining algorithm and a causal probabilistic model for data analysis were developed with information derived from expert knowledge that was merged with data from 116 deceased cancer patients in southern Switzerland. This data set was obtained via a retrospective clinical chart review. Results Dependencies of disease and treatment-related decisions demonstrate an influence on the place of death of 13%. Anticancer treatment in advanced disease prevents or delays communication about the end of life between oncologists, patients and families. Unknown preferences for the place of death represent a great barrier to a home death. A further barrier is the limited availability of family caregivers for terminal home care. The family’s preference for the last place of care has a high impact on the place of death of 51%, while the influence of the patient’s preference is low, at 14%. Approximately one-third of family systems can be empowered by health care professionals to provide home care through open end-of-life communication and good symptom management. Such intervention has an influence on the place of death of 17%. If families express a convincing preference for home care, the involvement of a specialist palliative home care service can increase the probability of home deaths by 24%. Conclusion Concerning death at home, open communication about death and dying is essential. Furthermore, for the patient preference for home care to be respected, the family’s decision for the last place of care seems to be key. The early initiation of family-centred palliative care and the provision of specialist palliative home care for patients who wish to die at home are suggested.


2019 ◽  
Vol 29 (4) ◽  
pp. 608-615 ◽  
Author(s):  
María José Cabañero-Martínez ◽  
Andreu Nolasco ◽  
Inmaculada Melchor ◽  
Manuel Fernández-Alcántara ◽  
Julio Cabrero-García

Abstract Background Although studies suggest that most people prefer to die at home, not enough is known about place of death patterns by cause of death considering sociodemographic factors. The objective of this study was to determine the place of death in the population and to analyze the sociodemographic variables and causes of death associated with home as the place of death. Methods Cross-sectional population-based study. All death certificate data on the residents in Spain aged 15 or over who died in Spain between 2012 and 2015 were included. We employed multinomial logistic regression to explore the relation between place of death, sociodemographic variables and cause of death classified according to the International Classification of Diseases, 10th revision, and to conditions needing palliative care. Results Over half of all deaths occurred in hospital (57.4%), representing double the frequency of deaths that occurred at home. All the sociodemographic variables (sex, educational level, urbanization level, marital status, age and country of birth) were associated with place of death, although age presented the strongest association. Cause of death was the main predictor with heart disease, neurodegenerative disease, Alzheimer’s disease, dementia and senility accounting for the highest percentages of home deaths. Conclusions Most people die in hospital. Cause of death presented a stronger association with place of death than sociodemographic variables; of these latter, age, urbanization level and marital status were the main predictors. These results will prove useful in planning end-of-life care that is more closely tailored to people’s circumstances and needs.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 664-665
Author(s):  
Vincent Moermans ◽  
Angela Mengelers ◽  
Michel Bleijlevens ◽  
Hilde Verbeek ◽  
Frans Tan ◽  
...  

Abstract Most PwD remain living at home. Due to complex care needs this can result in an increased risk for care provided against the wishes of the client and/or to which the client resists, referred to as involuntary treatment. This study explores the use and factors associated with involuntary treatment in PwD receiving home care in the Netherlands and Belgium. A secondary data analysis of two cross-sectional surveys (n=844 persons) showed that more than half of the PwD (51%) living at home received involuntary treatment (Belgium 68% and the Netherlands 45%). Non-consensual care (83%) was the most common, followed by psychotropic medication (41%) and physical restraints (18%). Involuntary treatment was associated with living alone, greater ADL dependency, lower cognitive ability, higher family caregiver burden and receiving home care in Belgium versus the Netherlands. In order to provide person-centered care, it is important to study ways to prevent involuntary treatment in PwD. Part of a symposium sponsored by Systems Research in Long-Term Care Interest Group.


Author(s):  
Larry W. Chambers ◽  
Peter Tugwell ◽  
Charles H. Goldsmith ◽  
Patricia Caulfield ◽  
Murray Haight ◽  
...  

ABSTRACTHospital and long-term care facility utilization, mortality and functional status over a 12-month follow-up period are described for elderly home care recipients who had been discharged from an acute care hospital. Of those eligible for receipt of services from the Program, 356 (92%) patients 65 years of age and older agreed to participate in the study at the time of discharge from an acute care hospital. Of these, 82.2 per cent survived during the subsequent 12 months, 44 per cent were readmitted to hospital, and 5 per cent were admitted to a nursing home or home for the aged. After adjusting for socio-demographic and health variables using regression analyses, the total number of home care services received was significantly associated with physical function and social function at 12 months. Similarly, the analyses revealed home care “social services” (social worker visits, meals on wheels, visiting home maker visits and volunteer visits) received were significantly associated with morale at 12 months. The clinical significance of these findings for case-management and home care program management and monitoring are discussed.


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