In 2020, there were 374,992 deaths in hospices in the U.S. due to Alzheimers, dementias, and Parkinsons. During that year, over 31 thousand hospice users died from COVID-19. Hospices provide medical care, pain management, as well as emotional and spiritual support. However, care for a patient is emphasized in a hospice where hospice staff typically visits a patient.

This statistic displays the distribution of locations for hospice patients at the time of death, in the United States in 2018. In that year, **** percent of hospice patients were at hospice inpatient facilities at the time of death. Hospices provide medical care, pain management, as well as emotional and spiritual support. However, care for a patient is emphasized in a hospice where hospice staff typically visits a patient.

Abstract This article analyzes end-of-life procedures in Brazilian pediatric intensive care units. This is an observational, retrospective, multicenter study, including children who died between January and December 2017. During the period, 149 deaths occurred, of which 54 were selected. We found that 83.3% of patients had a base illness, being septic shock the main cause of death (38.9%). Life support limitations were described in 46.3% of the medical records, and a do-not-resuscitate order for 37% of the patients; however, 74.1% were not resuscitated. The practice of not resuscitating patients with a reserved prognosis and better care in the last 48 hours of life have become more common in recent years. However, there are still excessive use of invasive procedures, mechanical ventilation, and vasoactive drugs in the last hours of life.

In 2023, among the roughly 2.5 million Medicare beneficiaries who died, just over half were enrolled in hospice at the time of death. Hospice usage among Medicare decedents varied largely by state, with those in Utah more likely to use hospice services, while Medicare decedents in Alaska and New York were least likely to use hospice.

Introduction: Due to a lack of information on patient mortality, healthcare planners rarely use local data for resource allocation and hospital management. This results in missed opportunities to build hospital capacity to address common causes of death, as well as a poor hospital reputation, fewer patients seeking hospital care, increased medical errors, and increased inpatient mortality. Objective: To determine trends of hospital mortality between 2018 and 2019 at Level Four Kisumu County Hospital, Kenya. Methods: The study was a cross sectional retrospective study design. The study targeted files of patients who died between January 2018 and December 2022. Systematic sampling was used in which every file per ward was given a serial number. Each department formed a stratum. Sample size was determined using Yamane Taro formula (N/1+N(e2) which yielded 203 as sample size from population of 680. The risk of death based on the presence or absence of doctor and nurse was analyzed by odds ratio. Chi-square was used to check association of appropriateness of facility, delay of care and distance and mortality. Variation in ward mortalities was analyzed using ANOVA to assess and data presented as line graphs. Results: According to the current study, the medical ward had the highest 2-year in-hospital mortality rate of 13.86%, while obstetrics and gynecology (reproductive health) had the lowest mortality rate of 0.47 percent. Infections were responsible for 42% of hospital deaths in patients under the age of 35, while noncommunicable diseases were responsible for 41% of hospital deaths in patients over the age of 60. According to the study, 3% of hospital deaths could have been avoided. When a nurse and a doctor were all present, there was a significant difference in the odds of a patient dying (OR=0.697). Comorbidity was a significant risk factor for death among patients who died in 2018 and 2019 (p=0.05). Patient characteristics such as age, education level, and gender were not associated with hospital deaths (p>0.05). Conclusion: Hospital deaths among the elderly are caused by noncommunicable diseases, while deaths among the young are caused by infectious diseases, raising the question of the need to improve the nurse-doctor relationship in order to reduce avoidable deaths among patients admitted.

Adjusted proportional regression (* PR) ratios for (a) deaths in hospice (b) deaths at hospital (c) deaths in own residence, and (d) deaths in communal establishment versus all other locations for the period 2001–2006: Adjusted for sex, age, year, marital status, IMD quintile, and all cancer causes.

These indicators are designed to accompany the SHMI publication. The SHMI methodology does not make any adjustment for patients who are recorded as receiving palliative care. This is because there is considerable variation between trusts in the way that palliative care is recorded. Contextual indicators on the percentage of provider spells and deaths reported in the SHMI where palliative care was recorded at either treatment or specialty level are produced to support the interpretation of the SHMI. Notes: 1. On 1st January 2025, North Middlesex University Hospital NHS Trust (trust code RAP) was acquired by Royal Free London NHS Foundation Trust (trust code RAL). This new organisation structure is reflected from this publication onwards. 2. There is a shortfall in the number of records for Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), The Shrewsbury and Telford Hospital NHS Trust (trust code RXW), and Wirral University Teaching Hospital NHS Foundation Trust (trust code RBL). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 3. There is a high percentage of invalid diagnosis codes for Chesterfield Royal Hospital NHS Foundation Trust (trust code RFS), East Lancashire Hospitals NHS Trust (trust code RXR), Great Western Hospitals NHS Foundation Trust (trust code RN3), Harrogate and District NHS Foundation Trust (trust code RCD), Milton Keynes University Hospital NHS Foundation Trust (trust code RD8), Portsmouth Hospitals University NHS Trust (trust code RHU), Royal United Hospitals Bath NHS Foundation Trust (trust code RD1), University Hospitals Birmingham NHS Foundation Trust (trust code RRK), University Hospitals of North Midlands NHS Trust (trust code RJE), and University Hospitals Plymouth NHS Trust (trust code RK9). Values for these trusts should therefore be interpreted with caution. 4. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 5. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

This dataset is about books. It has 1 row and is filtered where the book is The hospice way of death. It features 7 columns including author, publication date, language, and book publisher.

This statistic displays the percentage of adults in the U.S. who had a loved one that passed away in the last five years and the location at which their loved one died. According to the data, 34 percent of survey respondents had a loved one die at home, compared to just 10 percent that had a loved one that died in a nursing home.

Drive time and patients socio-demographic characteristics by regions.

Seminar presentation by Dr Karen Chumbley (Clinical Director of St Helena Hospice, Colchester) about how the hospice has used data about inequalities and access to improve palliative and end of life care provision. This presentation was given on 20th June 2017 as part of the OU Death and Dying Seminar Series.

Spiritual approaches in healthcare settings proved effective in reducing the negative outcomes of dehumanization processes impacting health-professionals and patients. Whereas previous literature focused on explicit measures of spirituality, the present research explored the role of implicit components of spirituality and their effects on the humanization of patients in two healthcare contexts.

The End-of-Life Planning Consultation Service market is experiencing significant growth, driven by an aging global population and increasing awareness of the importance of advance care planning. While precise market size figures are not provided, based on industry trends and the presence of numerous established and emerging players, a reasonable estimate for the market size in 2025 could be placed between $500 million and $1 billion USD. This estimate considers the various service offerings within the sector, including legal consultation, financial planning, and emotional support services related to end-of-life care. Assuming a Compound Annual Growth Rate (CAGR) of 8% – a conservative estimate given the market drivers – we can project substantial expansion over the forecast period (2025-2033). This growth reflects a rising demand for personalized end-of-life care solutions, emphasizing patient autonomy and reducing the burden on families. The market is segmented by service type (legal, financial, emotional support), delivery method (in-person, telehealth), and geographic region. Key players include Compassion & Choices, Empower Care, and several regional providers. The market faces certain restraints, such as varying levels of insurance coverage for such services and potential challenges in reaching underserved populations. However, the overall market outlook remains optimistic, fuelled by societal shifts towards proactive end-of-life planning and an expanding elderly demographic. The projected CAGR of 8% indicates a significant market expansion over the next decade. The increasing prevalence of chronic diseases among the elderly, combined with rising healthcare costs and a growing desire for greater control over one's end-of-life experience, contributes significantly to the market's trajectory. Furthermore, technological advancements in telehealth are expanding access to these crucial consultation services, reaching individuals in geographically remote areas or those with limited mobility. Competition among established providers and emerging players will likely intensify, fostering innovation and potentially lowering costs for consumers. Future market growth hinges on further public education campaigns, regulatory developments promoting advance care planning, and successful integration of technological solutions to enhance the efficiency and accessibility of these vital services.

Effective April 1, 2022, the Cook County Medical Examiner’s Office no longer takes jurisdiction over hospital, nursing home or hospice COVID-19 deaths unless there is another factor that falls within the Office’s jurisdiction. Data continues to be collected for COVID-19 deaths in Cook County on the Illinois Dept. of Public Health COVID-19 dashboard (https://dph.illinois.gov/covid19/data.html). This contains information about deaths that occurred in Cook County that were under the Medical Examiner’s jurisdiction. Not all deaths that occur in Cook County are reported to the Medical Examiner or fall under the jurisdiction of the Medical Examiner. The Medical Examiner’s Office determines cause and manner of death for those cases that fall under its jurisdiction. Cause of death describes the reason the person died. This dataset includes information from deaths starting in August 2014 to the present, with information updated daily. Changes: December 16, 2022: The Cook County Commissioner District field now reflects the boundaries that went into effect December 5, 2022. September 8, 2023: The Primary Cause field is now a combination of the Primary Cause Line A, Line B, and Line C fields.

BackgroundPatients with hematological malignancies are less likely to be referred to specialized palliative care, and more likely to receive aggressive end-of-life care than patient with solid tumors. The Swedish Register of Palliative Care (SRPC) collects end-of-life care quality data from a majority of health facilities in Sweden. We here use the national data from the SRPC to evaluate the quality of end-of-life care in patients with hematological malignancies in Sweden.MethodsIn a retrospective, observational registry study all adult registered cancer deaths in the years 2011–2019 were included. For the main analysis, patients with unexpected deaths or co-morbidities were excluded. Descriptive statistics and multiple logistic regression, adjusting for age and sex, were used.ResultsA total of 119 927 patients were included, 8 550 with hematological malignancy (HM) and 111 377 with solid tumor (ST), corresponding to 43% of all deaths due to HM and 61% of ST deaths during the observed period.Significantly more ST patients than HM received end-of-life care in a specialized palliative unit (hospice, palliative ward or specialized home care), 54% vs 42% (p

Introduction: Congruence, understood as the agreement between the patient's preferred place of death and their actual place of death, is emerging as one of the main variables indicating the quality of end-of-life care. The aim of this research was to conduct a systematic literature review on levels and determinants of congruence in palliative patients over the period 2010–2021.Method: A systematic review of the literature in the databases of PubMed, Scopus, Web of Science, PsycINFO, CINAHL, Cuiden, the Cochrane Library, CSIC Indexes, and IBECS. Information was extracted on research characteristics, congruence, and associated factors.Results: A total of 30 studies were identified, mainly of retrospective observational design. The congruence values varied substantially between the various studies, ranging from 21 to 100%. The main predictors of congruence include illness-related factors (functional status, treatments and diagnosis), individual factors (age, gender, marital status, and end of life preferences), and environmental factors (place of residence, availability of health, and palliative care services).Conclusion: This review, in comparison with previous studies, shows that treatment-related factors such as physical pain control, marital status, having a non-working relative, age, discussing preferred place of death with a healthcare professional, and caregiver's preference have been associated with higher levels of congruence. Depending on the study, other factors have been associated with either higher or lower congruence, such as the patient's diagnosis, gender, or place of residence. This information is useful for designing interventions aimed towards greater congruence at the end of life.

In 2023, among the roughly 2.5 million Medicare beneficiaries who died, just over half were enrolled in hospice at the time of death. Hospice usage among Medicare decedents has increased since 2021.