Dataset Information

Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

ABSTRACT: OBJECTIVE:In breast cancer patients, treatment at the end of life accounts for a major share of medical spending. However, little is known about the variability of cost trajectories between patients. This study aims to identify underlying latent groups of advanced breast cancer patients with similar cost trajectories over the last year before death. METHODS:Data from deceased advanced breast cancer patients, diagnosed between 2010 and 2017, were retrieved from the Southeast Netherlands Advanced Breast Cancer (SONABRE) Registry. Costs of hospital care over the last twelve months before death were analyzed, and the variability of longitudinal patterns between patients were explored using group-based trajectory modeling. Descriptive statistics and multinomial logistic regression were applied to investigate differences between the identified latent groups. RESULTS:We included 558 patients. Over the last twelve months before death, mean hospital costs were €2,255 (SD = €492) per month. Costs increased over the last five months and reached a maximum of €3,614 in the last month of life, driven by hospital admissions, while spending for medication declined over the last three months of life. Based on patients' individual cost trajectories, we identified six latent groups with distinct longitudinal patterns, of which only two showed a marked increase in costs over the last twelve months before death. Latent groups were constituted of heterogeneous patients, and clinical characteristics explained membership only to a limited extent. CONCLUSIONS:The average costs of advanced breast cancer patients increased towards the end of life. However, we uncovered several latent groups of patients with divergent cost trajectories, which did not reflect the overall increasing trend. The mechanisms underlying the variability in cost trajectories warrants further research.

SUBMITTER: Schneider PP

PROVIDER: S-EPMC7145011 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

Schneider Paul P PP Pouwels Xavier G L V XGLV Passos Valéria Lima VL Ramaekers Bram L T BLT Geurts Sandra M E SME Ibragimova Khava I E KIE de Boer Maaike M Erdkamp Frans F Vriens Birgit E P J BEPJ van de Wouw Agnes J AJ den Boer Marien O MO Pepels Manon J MJ Tjan-Heijnen Vivianne C G VCG Joore Manuela A MA

PloS one 20200409 4

<h4>Objective</h4>In breast cancer patients, treatment at the end of life accounts for a major share of medical spending. However, little is known about the variability of cost trajectories between patients. This study aims to identify underlying latent groups of advanced breast cancer patients with similar cost trajectories over the last year before death.<h4>Methods</h4>Data from deceased advanced breast cancer patients, diagnosed between 2010 and 2017, were retrieved from the Southeast Nether ...[more]

PMID: 32271794

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Project description:BackgroundPatients with advanced cancer prioritise health-related quality of life (HrQoL) in end-of-life care, however an understanding of pre-death HrQoL trajectories is lacking. We aimed to delineate and describe the trajectories of physical, social, emotional and functional HrQoL during last year of life among advanced cancer patients. We assessed associations between these trajectories and patient socio-demographic characteristics, healthcare use and place of death.MethodsWe used data from 345 decedents from a prospective cohort study of 600 patients with a solid advanced cancer receiving secondary care at public hospitals in Singapore. Patients were surveyed every three months until death and HrQoL was assessed using the Functional Assessment of Cancer Therapy - General (FACT-G) questionnaire. Interviews were conducted between July 2016 and December 2019. Group-based multi-trajectory modelling was used to assess potential heterogeneity in the four HrQoL dimensions during patients' last year of life.ResultsWe identified four distinct trajectories of HrQoL - (1) overall high HrQoL (47% of sample), (2) progressively decreasing HrQoL (32%), (3) asymmetric decline in HrQoL (13%), (4) overall low HrQoL (8%). Compared to patients with secondary or above education, those with primary education or less (β = 1.39, SE = 0.55, p-value = 0.012) were more likely to have "progressively decreasing HrQoL" or "overall low HrQoL" in contrast to "overall high HrQoL". Compared to patients with 'overall high HrQoL', those with 'overall low HrQoL' had longer length of hospital stay during the last year of life (β = 0.47, SE = 0.21, p-value = 0.026) and were more likely to die in a hospice/care home (β = 1.86, SE = 0.66, p-value = 0.005).ConclusionOur results showed heterogeneity in deterioration of HrQoL among patients with advanced cancer in the last year of life. Systematic monitoring of HrQoL, early identification and referral of high-risk patients to palliative care may provide timely relief and mitigate the steep decline in their HrQoL.Trial registrationNCT02850640.

Project description:INTRODUCTION:The last year of life constitutes a particularly vulnerable phase for patients, involving nearly all health and social care structures. Yet, little scientific evidence is available that provides insight into the trajectories including the number and types of care setting transitions, transitions into palliative care and the dying phase. Only few studies have focused on difficulties associated with having to move between health and social care settings in the last year of life, although patients face a significant risk of adverse events. The Last Year of Life Study Cologne (LYOL-C) aims to fill this gap. METHODS AND ANALYSIS:LYOL-C is a mixed-methods study composed of four steps: (1) Claims data collected by the statutory health insurance funds of deceased persons will be analysed with regard to patient care trajectories, health service transitions and costs in the last year of life. (2) Patient trajectories and transitions in healthcare will additionally be reconstructed by analysing the retrospective accounts of bereaved relatives (n=400) using a culturally adapted version of the Views of Informal Carers-Evaluation of Services Short Form questionnaire and the Patient Assessment of Care for Chronic Conditions Short Form questionnaire adapted for relatives. (3) Qualitative interviews with bereaved relatives (n=40-60) will provide in-depth insight into reasons for transitions and effects on patients' quality of life. (4) Focus groups (n=3-5) with Healthcare Professionals will be conducted to discuss challenges associated with transitions in the last year of life. ETHICS AND DISSEMINATION:Ethical approval has been obtained from the Ethics Commission of the Faculty of Medicine of Cologne University (#17-188). Results will be submitted for publication in peer-reviewed journals and presented at national and international conferences. TRIAL REGISTRATION NUMBER:The study is registered in the German Clinical Trials Register (DRKS00011925) and in the Health Services Research Database (VfD_CoRe-Net_17_003806).

Project description:BackgroundLack of health insurance claims (HIC) in the last year of life might indicate suboptimal end-of-life care, but reasons for no HIC are not fully understood because information on causes of death is often missing. We investigated association of no HIC with characteristics of individuals and their place of residence.MethodsWe analysed HIC of persons who died between 2008 and 2010, which were obtained from six providers of mandatory Swiss health insurance. We probabilistically linked these persons to death certificates to get cause of death information and analysed data using sex-stratified, multivariable logistic regression. Supplementary analyses looked at selected subgroups of persons according to the primary cause of death.ResultsThe study population included 113,277 persons (46% males). Among these persons, 1199 (proportion 0.022, 95% CI: 0.021-0.024) males and 803 (0.013, 95% CI: 0.012-0.014) females had no HIC during the last year of life. We found sociodemographic and health differentials in the lack of HIC at the last year of life among these 2002 persons. The likelihood of having no HIC decreased steeply with older age. Those who died of cancer were more likely to have HIC (adjusted odds ratio for males 0.17, 95% CI: 0.13-0.22; females 0.19, 95% CI: 0.12-0.28) whereas those dying of mental and behavioural disorders (AOR males 1.83, 95% CI:1.42-2.37; females 1.65, 95% CI: 1.27-2.14), and males dying of suicide (AOR 2.15, 95% CI: 1.72-2.69) and accidents (AOR 2.41, 95% CI: 1.96-2.97) were more likely to have none. Single, widowed, and divorced persons also were more likely to have no HIC (AORs in range of 1.29-1.80). There was little or no association between the lack of HIC and characteristics of region of residence. Patterns of no HIC differed across main causes of death. Associations with age and civil status differed in particular for persons who died of cancer, suicide, accidents and assaults, and mental and behavioural disorders.ConclusionsParticular groups might be more likely to not seek care or not report health insurance costs to insurers. Researchers should be aware of this aspect of health insurance data and account for persons who lack HIC.

Project description:BackgroundHome-based care networks differ in size and composition, but little is known about the characteristics of care networks for those nearing the end of their lives. This study aimed to identify different types of home-based care networks of community-dwelling older adults in the Netherlands and to assess the association between care network type and the health status and socio-demographic characteristics of care recipients.Methods/designWe used data from participants of the Longitudinal Aging Study Amsterdam (2001-2013) with chronic diseases or functional limitations who died within 12?months of their last interview and received home based personal and/or household care (n?=?146). Latent Class Analysis was used to model distinct end-of-life care networks among this pooled cross-section of older people whose characteristics imply care needs. The Akaike information criterion was used to determine the optimal model. Associations between network type and care recipient characteristics were explored using conditional inference trees.ResultsWe identified four types of care networks; a partner network (19%) in which care was mainly provided by partners, with little care from private caregivers or professionals, a mixed network (25%) in which care was provided by a combination of children, professionals and/or other family members, a private network (15%) in which only privately paid care was provided, and a professional network (40%) in which care was mainly provided by publicly paid professionals, sometimes with additional care from family or privately paid caregivers. Care networks near the end of life showed similar characteristics to those identified for older people more generally, but care seemed to be more intensive in the last year of life compared to the years preceding it. End-of-life care networks were mostly related to age, educational level and partner status. Formal care substitutes informal care whenever there is no partner or child present and able to provide care.ConclusionOur findings indicate that personal and household care can be quite intensive in the last year of life, especially for partner caregivers. To prevent caregiver burden, it is important that professionals make sure partner caregivers receive adequate and timely support to cope with the care situation.

Project description:Background and aimsAlcohol consumption changes markedly over the life course, with important implications for health and social development. Assessment of these patterns often relies on cross-sectional data, which cannot fully capture how individuals' drinking changes as they age. This study used data from 18 waves of a general population panel survey to measure drinking trajectories over the life course in Australia.Design and settingLongitudinal survey data from the Household, Income and Labour Dynamics in Australia (HILDA) survey between 2001 and 2018.ParticipantsA total of 20 593 individuals ages 15 or above in two samples assessing quantity-frequency (n = 20 569, 52.0% female) and risky single occasion drinking (RSOD), respectively, (n = 17 340, 52.5% female), interviewed as part of HILDA.MeasurementsUsual quantity of alcohol consumed per drinking occasion; frequency of drinking occasions per week; average daily consumption, calculated by combining reported usual quantity and frequency; and average reported frequency of RSOD per week.FindingsMultilevel, mixed effects models run with fractional polynomial terms found similar male and female alcohol consumption trajectories for quantity-frequency and RSOD measures. Usual quantity of alcohol consumed per drinking occasion (5.4 drinks for men, 3.8 for women) and RSOD frequency (0.56 occasions/week for men, 0.38 for women) peaked in young adulthood, whereas frequency of drinking occasions (2.5 occasions/week for men, 1.7 for women) peaked in middle age. Middle-age drinkers had the highest average daily consumption of alcohol (1.4 drinks/day for 54-year-old men, 0.6 drinks for 57-year-old women) and engaged in RSOD slightly less than young adults.ConclusionsAlcohol consumption in Australia appears to vary substantially over the life course, with usual quantity per drinking occasion and frequency of risky single occasion drinking peaking during early adulthood and average daily consumption and frequency of consumption peaking in middle age.

Project description:ObjectiveTo evaluate the role of intervening hospital admissions on trajectories of disability in the last year of life.DesignProspective cohort study.SettingGreater New Haven, Connecticut, United States, from March 1998 to June 2013.Participants552 decedents from a cohort of 754 community living people, aged 70 years or older, who were initially non-disabled in four essential activities of daily living: bathing, dressing, walking, and transferring.Main outcome measureOccurrence of admissions to hospital and severity of disability (range 0-4), ascertained during monthly interviews for more than 15 years.ResultsIn the last year of life, six distinct trajectories of disability were identified, from least disabled to most disabled: 95 participants (17.2%) had no disability, 61 (11.1%) had catastrophic disability, 53 (9.6%) had accelerated disability, 61 (11.1%) had progressively mild disability, 127 (23.0%) had progressively severe disability, and 155 (28.1%) had persistently severe disability. 392 (71.0%) participants had at least one hospital admission and 248 (44.9%) had multiple hospital admissions. For each trajectory the course of disability closely tracked the monthly prevalence of hospital admission. In a set of multivariable models that included several potential confounders, hospital admission in a given month had a strong independent effect on the severity of disability, in both relative and absolute terms. The largest absolute effect was observed for catastrophic disability, with a mean increase in disability score of 1.9 (95% confidence interval 1.5 to 2.4) in the setting of a hospital admission, corresponding to a rate ratio (or relative effect) of 2.0 (95% confidence interval 1.5 to 2.7).ConclusionsIn the last year of life, acute hospital admissions play an important role in the disabling process. Knowledge about the course of disability before these intervening events may facilitate clinical decision making at the end of life. For older patients admitted to hospital with progressive or persistent levels of severe disability, representing more than half of the decedents, clinicians might consider a palliative care approach to facilitate discussions about advance care planning and to better deal with personal care needs.

Dataset Information

Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

Publications

Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

Similar Datasets

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