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Given the cutbacks which have been carried out in the Swedish welfare state despite the unchanged official policy of allocation of home help services according to needs, it is essential to evaluate the factors which guide the allocation of home help today. Whereas numerous studies have identified factors which predict entry into the home help system, the present paper concentrates on predictors of the amount of home help amongst those allocated assistance. Data were obtained from the population-based care and services section of the 2002 Swedish National Study of Aging and Care-Kungsholmen (SNAC-K). All home help recipients (> or = 65 years of age) living in an inner city district of Stockholm (Kungsholmen) were analysed with ordinary least squares regressions to identify predictors of the number of hours of home help (n = 943). Need indicators, i.e. dependency in activities of daily living (ADLs) and instrumental ADLs (IADLs), and cognitive impairment (Berger scale) were the strongest predictors of more hours of home help. The addition of sociodemographic (i.e. age, gender and income), environmental (i.e. informal care, housing adaptations and housing accessibility) and structural (i.e. variations in allocation decisions between one care manager and another) factors contributed only marginally to the explained variance. Hours of help entitlement increased slightly with greater age. Co-residing individuals were allocated significantly fewer home help hours than those living alone. Income and regular access to informal care were not significant predictors. The fact that services are provided according to need criteria does not necessarily mean that the provided services are adequate to meet needs. On the macro level, social policy decisions and available economic and manpower resources determine the allotment of municipal home help. However, this study in an urban sample suggests that, within the available resources, the amount of home help allocated is guided mainly by need indicators amongst those given assistance.

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Most studies on health trends in the elderly population focus on specific conditions, studied one at a time. However, health problems are often interrelated and exist simultaneously in late life. Individuals with health problems in several domains present special challenges to care services. To estimate future needs for care it may be relevant to study trends of complex health problems as well as single health items. This study identified serious problems in three domains (diseases/ symptoms, mobility, cognition/communication) in two representative samples of the Swedish population aged 77 and older (1992: n=537; 2002: n=561). People with serious problems in two or three domains were considered to have complex health problems. Changes between 1992 and 2002 in the prevalence of persons having serious problems in no, one and two/three domains were analyzed with logistic regressions. When examining each domain separately all three showed a significant increase of serious problems. For diseases/symptoms the increase remained significant after controlling for different age and gender distributions in the two surveys. Results showed a significant increase in the prevalence of having problems in one domain, as well as having problems in two or three domains (complex problems). Results persisted when adjusting for different distributions in age, gender and education between 1992 and 2002. Results suggest a worsening of health during the 10-year period and an increase of complex problems. This emphasizes the necessity of cooperation and collaboration between different kinds of medical and social services for elderly people.

BackgroundPeople spend a considerable amount of time at work over the course of their lives, which makes the workplace important to health and aging. However, little is known about the potential long-term effects of work-related stress on late-life health. This study aims to examine work-related stress in late midlife and educational attainment in relation to serious health problems in old age.MethodsData from nationally representative Swedish surveys were used in the analyses (n = 1,502). Follow-up time was 20–24 years. Logistic regressions were used to examine work-related stress (self-reported job demands, job control, and job strain) in relation to serious health problems measured as none, serious problems in one health domain, and serious problems in two or three health domains (complex health problems).ResultsWhile not all results were statistically significant, high job demands were associated with higher odds of serious health problems among women but lower odds of serious health problems among men. Job control was negatively associated with serious health problems. The strongest association in this study was between high job strain and complex health problems. After adjustment for educational attainment some of the associations became statistically nonsignificant. However, high job demands, remained related to lower odds of serious problems in one health domain among men, and low job control remained associated with higher odds of complex health problems among men. High job demands were associated with lower odds of complex health problems among men with low education, but not among men with high education, or among women regardless of level of education.ConclusionsThe results underscore the importance of work-related stress for long-term health. Modification to work environment to reduce work stress (e.g., providing opportunities for self-direction/monitoring levels of psychological job demands) may serve as a springboard for the development of preventive strategies to improve public health both before and after retirement.

Studies of health trends in older populations usually focus on single health indicators. We include multiple medical and functional indicators, which together indicate the broader impact of health problems experienced by individuals and the need for integrated care from several providers of medical and long-term care. The study identified severe problems in three health domains (diseases/ symptoms, mobility, and cognition/communication)

Keywords:Home care use use of institutional care last years of life gender differences household type a b s t r a c t Objectives: To map out the total use of long-term care (LTC; ie, home care or institutional care) during the last 2 years of life and to investigate to what extent gender differences in LTC use were explained by cohabitation status and age at death. Design: The National Cause of Death Register was used to identify decedents. Use of LTC was based on the Social Services Register (SSR) and sociodemographic factors were provided by Statistics Sweden. Setting and Participants: All persons living in Sweden who died in November 2015 aged 67 years (n ¼ 5948). Methods: Zero inflated negative binomial regression was used to estimate the relative impact of age, gender, and cohabitation status on the use of LTC. Results: Women used LTC to a larger extent [odds ratio (OR) 2.17, 95% confidence interval (CI) 1.92-2.50] and for a longer period [risk ratio (RR) 1.14, 95% CI 1.11-1.18] than men. When controlling for age at death and cohabitation status, gender differences in LTC attenuated (OR 1.47, 95% CI 1.28-1.72) and vanished in regard to the duration. In the controlled model, women used LTC for 15.6 months (95% CI 15.2-16.0) and men for 14.1 months (95% CI 13.7-14.5) out of 24 months. The length of stay in institutional care was 7.2 (95% CI 6.8-7.5) and 6.2 months (95% CI 5.8-6.6), respectively. Conclusions and Implications: A substantial part of women's greater use of LTC was due to their higher age at death and because they more often lived alone. Given that survival continues to increase, the association between older age at death and LTC use suggests that policy makers will have to deal with an increased pressure on the LTC sector. Yet, increased survival among men could imply that more women will have access to spousal caregivers, although very old couples may have limited capacity for extensive caregiving at the end of life.

Of the presented mechanisms affecting predictive strength, results suggest the importance of the instability of predictors over time. Especially in old populations, predictors that can change rapidly (e.g., health) are strongest for the short term, revealing a lower average mortality risk for longer follow-ups. Rather stable variables (e.g., gender or social contacts) are not affected by the length of follow-up. When average risk is studied over a longer follow-up, insignificant results may hide significant effects during a part of the follow-up. These findings are relevant for studies that examine any kind of outcome after a follow-up.