Dataset Information

International study of the place of death of people with cancer: a population-level comparison of 14 countries across 4 continents using death certificate data.

ABSTRACT: Where people die can influence a number of indicators of the quality of dying. We aimed to describe the place of death of people with cancer and its associations with clinical, socio-demographic and healthcare supply characteristics in 14 countries.Cross-sectional study using death certificate data for all deaths from cancer (ICD-10 codes C00-C97) in 2008 in Belgium, Canada, Czech Republic, England, France, Hungary, Italy, Mexico, the Netherlands, New Zealand, South Korea, Spain (2010), USA (2007) and Wales (N=1,355,910). Multivariable logistic regression analyses evaluated factors associated with home death within countries and differences across countries.Between 12% (South Korea) and 57% (Mexico) of cancer deaths occurred at home; between 26% (Netherlands, New Zealand) and 87% (South Korea) occurred in hospital. The large between-country differences in home or hospital deaths were partly explained by differences in availability of hospital- and long-term care beds and general practitioners. Haematologic rather than solid cancer (odds ratios (ORs) 1.29-3.17) and being married rather than divorced (ORs 1.17-2.54) were most consistently associated with home death across countries.A large country variation in the place of death can partly be explained by countries' healthcare resources. Country-specific choices regarding the organisation of end-of-life cancer care likely explain an additional part. These findings indicate the further challenge to evaluate how different specific policies can influence place of death patterns.

SUBMITTER: Cohen J

PROVIDER: S-EPMC4815784 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

International study of the place of death of people with cancer: a population-level comparison of 14 countries across 4 continents using death certificate data.

Cohen J J Pivodic L L Miccinesi G G Onwuteaka-Philipsen B D BD Naylor W A WA Wilson D M DM Loucka M M Csikos A A Pardon K K Van den Block L L Ruiz-Ramos M M Cardenas-Turanzas M M Rhee Y Y Aubry R R Hunt K K Teno J J Houttekier D D Deliens L L

British journal of cancer 20150901 9

<h4>Background</h4>Where people die can influence a number of indicators of the quality of dying. We aimed to describe the place of death of people with cancer and its associations with clinical, socio-demographic and healthcare supply characteristics in 14 countries.<h4>Methods</h4>Cross-sectional study using death certificate data for all deaths from cancer (ICD-10 codes C00-C97) in 2008 in Belgium, Canada, Czech Republic, England, France, Hungary, Italy, Mexico, the Netherlands, New Zealand, ...[more]

PMID: 26325102

Similar Datasets

Project description:Chronic obstructive pulmonary disease and lung cancer are leading causes of death with comparable symptoms at the end of life. Cross-national comparisons of place of death, as an important outcome of terminal care, between people dying from chronic obstructive pulmonary disease and lung cancer have not been studied before. We collected population death certificate data from 14 countries (year: 2008), covering place of death, underlying cause of death, and demographic information. We included patients dying from lung cancer or chronic obstructive pulmonary disease and used descriptive statistics and multivariable logistic regressions to describe patterns in place of death. Of 5,568,827 deaths, 5.8% were from lung cancer and 4.4% from chronic obstructive pulmonary disease. Among lung cancer decedents, home deaths ranged from 12.5% in South Korea to 57.1% in Mexico, while hospital deaths ranged from 27.5% in New Zealand to 77.4% in France. In chronic obstructive pulmonary disease patients, the proportion dying at home ranged from 10.4% in Canada to 55.4% in Mexico, while hospital deaths ranged from 41.8% in Mexico to 78.9% in South Korea. Controlling for age, sex, and marital status, patients with chronic obstructive pulmonary disease were significantly less likely die at home rather than in hospital in nine countries. Our study found in almost all countries that those dying from chronic obstructive pulmonary disease as compared with those from lung cancer are less likely to die at home and at a palliative care institution and more likely to die in a hospital or a nursing home. This might be due to less predictable disease trajectories and prognosis of death in chronic obstructive pulmonary disease.Lung diseaseIMPROVING END-OF-LIFE CARE: Structured palliative care similar to that offered to cancer sufferers should be in place for patients with chronic lung disease. Joachim Cohen at Vrije University in Brussels and co-workers examined international death certificate data collected from 14 countries to determine place of death for patients with lung cancer and chronic obstructive pulmonary disease (COPD). While patients with COPD suffer similar symptoms to lung cancer in their final days, few COPD patients receive palliative care or achieve the common wish of dying at home. This may be partly due to the inherent unpredictability of final-stage COPD compared with lung cancer. Cohen's team found that, with the exception of Italy, Spain, and Mexico, patients with COPD were significantly more likely to die in hospital than at home. They highlight the need for improved COPD palliative care provision.

Project description:ObjectiveCeliac disease (CD) has a recognized association with type 1 diabetes. We examined international differences in CD prevalence and clinical characteristics of youth with coexisting type 1 diabetes and CD versus type 1 diabetes only.Research design and methodsData sources were as follows: the Prospective Diabetes Follow-up Registry (DPV) (Germany/Austria); the T1D Exchange Clinic Network (T1DX) (U.S.); the National Paediatric Diabetes Audit (NPDA) (U.K. [England/Wales]); and the Australasian Diabetes Data Network (ADDN) (Australia). The analysis included 52,721 youths <18 years of age with a clinic visit between April 2013 and March 2014. Multivariable linear and logistic regression models were constructed to analyze the relationship between outcomes (HbA1c, height SD score [SDS], overweight/obesity) and type 1 diabetes/CD versus type 1 diabetes, adjusting for sex, age, and diabetes duration.ResultsBiopsy-confirmed CD was present in 1,835 youths (3.5%) and was diagnosed at a median age of 8.1 years (interquartile range 5.3-11.2 years). Diabetes duration at CD diagnosis was <1 year in 37% of youths, >1-2 years in 18% of youths, >3-5 years in 23% of youths, and >5 years in 17% of youths. CD prevalence ranged from 1.9% in the T1DX to 7.7% in the ADDN and was higher in girls than boys (4.3% vs. 2.7%, P < 0.001). Children with coexisting CD were younger at diabetes diagnosis compared with those with type 1 diabetes only (5.4 vs. 7.0 years of age, P < 0.001) and fewer were nonwhite (15 vs. 18%, P < 0.001). Height SDS was lower in those with CD (0.36 vs. 0.48, adjusted P < 0.001) and fewer were overweight/obese (34 vs. 37%, adjusted P < 0.001), whereas mean HbA1c values were comparable: 8.3 ± 1.5% (67 ± 17 mmol/mol) versus 8.4 ± 1.6% (68 ± 17 mmol/mol).ConclusionsCD is a common comorbidity in youth with type 1 diabetes. Differences in CD prevalence may reflect international variation in screening and diagnostic practices, and/or CD risk. Although glycemic control was not different, the lower height SDS supports close monitoring of growth and nutrition in this population.

Project description:Accurate and timely data on cause of death are critically important for guiding health programs and policies. Deaths certified by doctors are implicitly considered to be reliable and accurate, yet the quality of information provided in the international Medical Certificate of Cause of Death (MCCD) usually varies according to the personnel involved in certification, the diagnostic capacity of the hospital, and the category of hospitals. There are no published studies that have analysed how certifying doctors in Bangladesh adhere to international rules when completing the MCCD or have assessed the quality of clinical record keeping.The study took place between January 2011 and April 2014 in the Chandpur and Comilla districts of Bangladesh. We introduced the international MCCD to all study hospitals. Trained project physicians assigned an underlying cause of death, assessed the quality of the death certificate, and reported the degree of certainty of the medical records provided for a given cause. We examined the frequency of common errors in completing the MCCD, the leading causes of in-hospital deaths, and the degree of certainty in the cause of death data.The study included 4914 death certificates. 72.9% of medical records were of too poor quality to assign a cause of death, with little difference by age, hospital, and cause of death. 95.6% of death certificates did not indicate the time interval between onset and death, 31.6% required a change in sequence, 13.9% required to include a new diagnosis, 50.7% used abbreviations, 41.5% used multiple causes per line, and 33.2% used an ill-defined condition as the underlying cause of death. 99.1% of death certificates had at least one error. The leading cause of death among adults was stroke (15.8%), among children was pneumonia (31.7%), and among neonates was birth asphyxia (52.8%).Physicians in Bangladeshi hospitals had difficulties in completing the MCCD correctly. Physicians routinely made errors in death certification practices and medical record quality was poor. There is an urgent need to improve death certification practices and the quality of hospital data in Bangladesh if these data are to be useful for policy.

Dataset Information

International study of the place of death of people with cancer: a population-level comparison of 14 countries across 4 continents using death certificate data.

Publications

International study of the place of death of people with cancer: a population-level comparison of 14 countries across 4 continents using death certificate data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets