Relationship of place of death with care capacity and accessibility: a multilevel population study of system effects on place of death in Norway

Background: While the majority of deaths in high-income countries currently occur within institutional settings such as hospitals and nursing homes, there is considerable variation in the pattern of place of death. The place of death is known to impact many relevant considerations about death and dying, such as the quality of the dying process, family involvement in care, health services design and health policy, as well as public versus private costs of end-of-life care. The objective of this study was to analyse how the availability and capacity of publicly financed home-based and institutional care resources are related to place of death in Norway. Methods: This study utilized a dataset covering all deaths in Norway in the years 2003–2011, contrasting three places of death, namely hospital, nursing home and home. The analysis was performed using a multilevel multinomial logistic regression model to estimate the probability of each outcome while considering the hierarchical nature of factors affecting the place of death. The analysis utilized variation in health system variables at the local community and hospital district levels. The analysis was based on data from two public sources: the Norwegian Cause of Death Registry and Statistics Norway. Results: Hospital accessibility, in terms of short travel time and hospital bed capacity, was positively associated with the likelihood of hospital death. Higher capacity of nursing home beds increased the likelihood of nursing home death, and higher capacity of home care increased the likelihood of home death. Contrasting three alternative places of death uncovered a pattern of service interactions, wherein hospital and home care resources together served as an alternative to end-of-life care in nursing homes. Conclusions: Norway has a low proportion of home deaths compared with other countries. The proportion of home deaths varies between local communities. Increasing the availability of home care services is likely to enable more people to die at home, if that is what they prefer.publishedVersio

Health and care service utilisation and cost over the life-span: a descriptive analysis of population data

Background: Current demographic changes affect both the level and composition of health and care needs in the population. The aim of this study was to estimate utilisation and cost for a comprehensive range of health and care services by age and gender to provide an in-depth picture of the life-span pattern of service needs and related costs. Methods: Data on service use in 2010 for the entire population in Norway were collected from four high-quality national registers. Cost for different services were calculated combining data on service utilisation from the registries and estimates of unit cost. Data on cost and users were aggregated within four healthcare services and seven long-term care services subtypes. Per capita cost by age and gender was decomposed into user rates and cost per user for each of the eleven services. Results: Half of the population is under 40 years of age, but only a quarter of the health and care cost is used on this age group. The age-group of 65 or older, on the other hand, represent only 15% of the population, but is responsible for almost half of the total cost. Healthcare cost dominates in ages under 80 and mental health services dominates in adolescents and young adults. Use of other healthcare services are high in middle aged and elderly but decreases for the oldest old. Use of care services and in particular institutional care increases in old age. Healthcare cost per user follows roughly the same age pattern as user rates, whereas user cost for care services typically are either relatively stable or decrease with age among adults. Gender differences in the age pattern of health and care costs are also revealed and discussed. Conclusion: The type of services used, and the related cost, show a clear life-span as well as gender pattern. Hence, population aging and narrowing gender-gap in longivety calls for high policy awarness on changing health and care needs. Our study also underscores the need for an attentive and pro-active stance towards the high service prevalence and high cost of mental health care in our upcoming generations.publishedVersio

Life Conditions as Mediators of Welfare State Effect on Mental Wellbeing among Oldest Old in Europe

Background: Mental wellbeing is formed by our daily environments, which are, in turn, influenced by public policies, such as the welfare state. This paper looks at how different aspects of life conditions may mediate the welfare state effect on mental wellbeing in oldest old age. Methods: Data were extracted from Round 6 of the European Social Survey (2012). The dataset comprised of 2058 people aged 80 years and older from 24 countries. Mediation analyses determined possible links between the welfare state, including eleven intervening variables representing life conditions and five mental wellbeing dimensions. Results: Our study confirms that the higher the level of welfare state, the better mental wellbeing, irrespective of dimension. Although several life conditions were found to mediate the welfare state effect on mental wellbeing, subjective general health, coping with income and place in society were the most important intervening variables. Conclusions: All three variables centre around supporting autonomy in the oldest old age. By teasing out how the welfare state influences mental wellbeing in the oldest old, we can better understand the many drivers of wellbeing and enable evidence informed age-friendly policy making.Peer reviewe

Life Conditions as Mediators of Welfare State Effect on Mental Wellbeing among Oldest Old in Europe

Background: Mental wellbeing is formed by our daily environments, which are, in turn, influenced by public policies, such as the welfare state. This paper looks at how different aspects of life conditions may mediate the welfare state effect on mental wellbeing in oldest old age. Methods: Data were extracted from Round 6 of the European Social Survey (2012). The dataset comprised of 2058 people aged 80 years and older from 24 countries. Mediation analyses determined possible links between the welfare state, including eleven intervening variables representing life conditions and five mental wellbeing dimensions. Results: Our study confirms that the higher the level of welfare state, the better mental wellbeing, irrespective of dimension. Although several life conditions were found to mediate the welfare state effect on mental wellbeing, subjective general health, coping with income and place in society were the most important intervening variables. Conclusions: All three variables centre around supporting autonomy in the oldest old age. By teasing out how the welfare state influences mental wellbeing in the oldest old, we can better understand the many drivers of wellbeing and enable evidence informed age-friendly policy making.Peer reviewe

Variations in levels of care between nursing home patients in a public health care system

Background Within the setting of a public health service we analyse the distribution of resources between individuals in nursing homes funded by global budgets. Three questions are pursued. Firstly, whether there are systematic variations between nursing homes in the level of care given to patients. Secondly, whether such variations can be explained by nursing home characteristics. And thirdly, how individual need-related variables are associated with differences in the level of care given. Methods The study included 1204 residents in 35 nursing homes and extra care sheltered housing facilities. Direct time spent with patients was recorded. In average each patient received 14.8 hours direct care each week. Multilevel regression analysis is used to analyse the relationship between individual characteristics, nursing home characteristics and time spent with patients in nursing homes. The study setting is the city of Trondheim, with a population of approximately 180 000. Results There are large variations between nursing homes in the total amount of individual care given to patients. As much as 24 percent of the variation of individual care between patients could be explained by variation between nursing homes. Adjusting for structural nursing home characteristics did not substantially reduce the variation between nursing homes. As expected a negative association was found between individual care and case-mix, implying that at nursing home level a more resource demanding case-mix is compensated by lowering the average amount of care. At individual level ADL-disability is the strongest predictor for use of resources in nursing homes. For the average user one point increase in ADL-disability increases the use of resources with 27 percent. Conclusion In a financial reimbursement model for nursing homes with no adjustment for case-mix, the amount of care patients receive does not solely depend on the patients’ own needs, but also on the needs of all the other residents

Regionale variasjoner i bruk av sykehus. - Gir forbruksmål basert på pasiententydige data nye resultater?

Oppdragsgiver: Helsedirektorate

Use of Health Services and Support Resources by Immediate Family Members Bereaved by Suicide: A Scoping Review

The knowledge on health service use, systematic follow-up, and support for families bereaved by suicide remains scarce. This scoping review includes studies from 2010 to March 2022 that investigate the follow-up and support offered by health services, peer support services, and other resources available (e.g., internet-based resources) for families bereaved by suicide. We followed the scoping review framework provided by the Johanna Briggs Institute and performed a double-blinded screening process using Covidence. Data were extracted by four researchers and a thematic analysis was performed to summarize the results. The PRISMA Extension for Scoping reviews was used for reporting results. Of 2385 studies screened by title, 190 by abstract, and 93 by full-text reading, we included 63 original articles of which 24, 29 and 10 were quantitative, qualitative, or mixed-methods studies, respectively. The review shows that we have some knowledge about the need for, and experiences with, health services and support resources for immediate family members bereaved by suicide, but a lack of knowledge about their help-seeking behaviour, patient pathways, systematic follow-up, coordination between services, and long-term outcomes. We need more longitudinal observational studies of health service use and patient trajectories for people bereaved by suicide.publishedVersio

Psychiatric readmission rates in a multi-level mental health care system – a descriptive population cohort study

Background Readmission rates are frequently used as a quality indicator for health care, yet their validity for evaluating quality is unclear. Published research on variables affecting readmission to psychiatric hospitals have been inconsistent. The Norwegian specialist mental health care system is characterized by a multi-level structure; hospitals providing specialized -largely unplanned care and district psychiatric centers (DPCs) providing generalized -more often planned care. In certain service systems, readmission may be an integral part of individual patients’ treatment plan. The aim of the present study was to describe and examine the task division in a multi-level health care system. This we did through describing differences in patient population (age, sex, diagnosis, substance abuse comorbidity and length of stay) and admissions types (unplanned vs. planned) treated at different levels (hospital, DPC or both), and by examining whether readmission risk differ according to type and place of treatment of index-admission and travel-time to nearest hospital and DPC. Methods In this population-based cohort study using administrative data we included all individuals aged 18 and older who were discharged from psychiatric inpatient care with an ICD-10 diagnosis F2-F6 (“functional mental disorders”) in 2012. Selecting each individual’s first discharge during 2012 as index gave N = 16,185 for analyses following exclusions. Analysis of readmission risk were done using Kaplan-Maier failure curves. Results Overall, 15.1 and 47.7% of patients were readmitted within 30 and 365 days, respectively. Unplanned admission patients were more likely to be readmitted within 30 days than planned patients. Those transferred between hospital and DPC during index admission were more likely to be readmitted within 365 days, and to experience planned readmission. Patients with short travel time were more likely to have unplanned readmission, while patients with long travel time were more likely to have planned readmission. Conclusions DPCs and hospitals fill different purposes in the Norwegian health care system, which is reflected in different patient populations. Differences in short term readmission rates between hospitals and DPCs disappeared when type of admission (unplanned/planned) was considered. The results stress the importance of addressing differences in organisation and task distribution when comparing readmission rates between mental health systems. Keywords: Readmission, Psychiatry, Multi-level mental health care system, Survival analysispublishedVersio

Psychiatric readmissions and their association with environmental and health system characteristics: a systematic review of the literature

Background: Psychiatric readmissions have been studied at length. However, knowledge about how environmental and health system characteristics affect readmission rates is scarce. This paper systemically reviews and discusses the impact of health and social systems as well as environmental characteristics for readmission after discharge from inpatient care for patients with a psychiatric diagnosis.Methods: Comprehensive literature searches were conducted in the electronic bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. In addition, Google Scholar was utilised. Relevant publications published between January 1990 and June 2014 were included. No restrictions regarding language or publication status were imposed. A qualitative synthesis of the included studies was performed. Variables describing system and environmental characteristics were grouped into three groups: those capturing regulation, financing system and governance; those capturing capacity, organisation and structure; and those capturing environmental variables.Results: Of the 734 unique articles identified in the original search, 35 were included in the study. There is a limited number of studies on psychiatric readmissions and their association with environmental and health system characteristics. Even though the review reveals an extensive list of characteristics studied, most characteristics appear in a very limited number of articles. The most frequently studied characteristics are related to location (local area, district/region/country). In most cases area differences were found, providing strong indication that the risk of readmission not only relates to patient characteristics but also to system and/or environmental factors that vary between areas. The literature also points in the direction of a negative association of institutional length of stay and community aftercare with readmission for psychiatric patients.Conclusion: This review shows that analyses of system level variables are scarce. Furthermore they differ with respect to purpose, choice of system characteristics and the way these characteristics are measured. The lack of studies looking at the relationship between readmissions and provider payment models is striking. Without the link to provider payment models and other health system characteristics related to regulation, financing system and governance structure it becomes more difficult to draw policy implications from these analyses