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Background: Municipalities have been trying to involve citizens as citizen participation is thought to improve municipalities' accountability, the quality of services, and to align policies and services to communities' needs. This study examined citizens' participation preferences in policymaking by investigating their health policy priorities, expectations of involvement, and required support., Methods: For this case-study the realist evaluation approach was applied to focus groups with citizens and to a workshop with a local panel consisting of professionals, citizens and citizen representatives., Results: This study showed that citizens want to be involved in (health) policymaking with the aim of improving their communities' quality of life and living environment and prioritised local services and amenities (e.g. suitable housing, public transport, health and care services). Instead, professionals' priorities were focussed on singular public health issues related to prevention and lifestyle factors. The results also show that citizens felt responsible for driving citizen participation and representing community needs to the municipality, but needed the municipality to improve their communication and accessibility in order to do so successfully. Furthermore, the professionals on the panel indicated that they needed training on how to reach out to citizens. Such training should highlight how to better align their language to citizens' lived experiences. They also wanted their organisations to provide more space, flexibility and resources to build relationships with citizens in order to provide improved communication and accessibility to citizens., Conclusion: The difference in priorities between citizens and professionals highlights the importance of involving citizens in policymaking. Moreover, citizens' involvement can act as a lever for change to bring a wider range of services and policy sectors together and has the potential to better align policies to citizens' lived experiences and hopefully increase the democratic legitimacy of policymaking. However, to fulfil such potential municipalities will need to invest in improving their accessibility and communication with communities., Competing Interests: The authors have declared that no competing interests exist.

This study is on the effects of spousal loss among older adults who continue to live independently after bereavement. Little longitudinal studies focus on this group, which is of special interest, since in many countries, care policy and system reform are aimed at increasing independent living among older adults. Using longitudinal data from a Dutch public data repository, we investigate the effects of spousal loss on psychological well-being, perceived quality of life, and (indication of) yearly health-care costs. Of the respondents who had a spouse and were living independently ( N  = 9,400) at baseline, the majority had not lost their spouse after 12 months ( T 12, n  = 9,150), but 2.7% ( n  = 250) had lost their spouse and still lived independently. We compared both groups using multivariate regression (ordinary least squares) analyses. The results show that spousal loss significantly lowers scores on psychological well-being and perceived quality of life, but we found no effect on health-care costs.

Purpose: Although frailty was originally a medical concept, nowadays more and more researchers are convinced of its multidimensional nature, including a psychological and social domain of frailty as well as a physical domain. The objective of this study was to test the hypothesis that the prediction of quality of life by physical frailty components is improved by adding psychological and social frailty components., Methods: This cross-sectional study was carried out with a sample of Dutch citizens. A total of 1,031 people aged 65 years and older completed a Web-based questionnaire containing the Tilburg Frailty Indicator for measuring physical, psychological, and social frailty, and the WHOQOL-BREF for measuring four quality of life domains (physical health, psychological, social relations, environmental)., Results: The findings show that the prediction of all quality of life domains by eight physical components of frailty was improved after adding four psychological and three social frailty components. The psychological frailty component 'feeling down' significantly improved the prediction of all four quality of life domains, after controlling for the effects of background characteristics and all other frailty components., Conclusion: This study emphasizes the importance of a multidimensional assessment of frailty in the prediction of quality of life in older people.

Background: Frail elderly have a higher risk of adverse outcomes, e.g., hospitalization,institutionalization, or premature death. The Tilburg Frailty Indicator (TFI) is a validated questionnaire for measuring frailty in independently living older people aged 70 years and over., Aims: Determining the prevalence of frailty among independently living young elderly, and examining which factors predict frailty among this target group., Methods: 308 young elderly (58 to 64 years) completed the TFI before they visited the ambulatory health screening centre in Roosendaal. The TFI includes questions concerning physical, psychological and social frailty, and questions on possible determinants of frailty., Results: 18-4% of the sample of young elderly was frail. Women scored significantly higher on psychological and social frailty. The determinants explained 37% of the frailty score. As expected,low income, an unhealthy lifestyle, multimorbidity, experiencing life events, and dissatisfaction with the living environment predicted frailty. The three frailty domains(physical, psychological, social) were affected by different determinants., Conclusion: A substantial part of the young elderly in the sample turned out to be frail. The finding that the three domains of frailty are predicted by different determinants underlines the importance the importance of a broad perspective regarding the functioning of the individual older person.

Purpose: To assess the predictive validity of frailty and its domains (physical, psychological, and social), as measured by the Tilburg Frailty Indicator (TFI), for the adverse outcomes disability, health care utilization, and quality of life., Design and Methods: The predictive validity of the TFI was tested in a representative sample of 484 community-dwelling persons aged 75 years and older in 2008 (response rate 42%). A subset of all respondents participated 1 year later (N = 336, 69%) and again 2 years later (N = 266, 55%). We used the TFI, the Groningen Activity Restriction Scale assessing disability, seven indicators of health care utilization, and a brief version of the World Health Organization Quality of Life questionnaire (WHOQOL-BREF). The WHOQOL-BREF was assessed in 2008 and 2010; all others were assessed in 2008, 2009, and 2010., Results: The predictive validity of the TFI assessed in 2008 for disability, health care utilization, and quality of life was corroborated by (a) medium to very large associations of frailty with adverse outcomes 1 or 2 years later; (b) mostly good to excellent area under the curve of total frailty; and (c) an increase in predictive accuracy of most adverse outcomes, even after controlling for that same adverse outcome in 2008, and life-course determinants and multimorbidity. Physical frailty was mostly responsible for the predictive validity of the TFI., Implications: This study showed that the TFI is a valid instrument to predict disability, many indicators of health care utilization, and quality of life of older people, 1 and 2 years later.

Background: The number of people living with dementia worldwide is increasing, resulting in a need for more residential care. In response to criticism of the traditional medical approach to residential dementia care, many large nursing homes are transforming their traditional care facilities into more home-like small-scale living facilities., Objectives: This study examined the assumed benefits of small-scale living for residents with dementia, compared to traditional long-term care in the Netherlands and Belgium. The primary outcome was quality of life, divided into nine different domains., Design: The study had a longitudinal design within a one-year time interval., Settings: Five long-term care settings in the Netherlands and Belgium containing four traditional and twelve small-scale living units participated in the study., Participants: Data were obtained from 179 residents with dementia (age>65 years) (Dutch small-scale N=51, traditional N=51, Belgian small-scale N=47, traditional N=30)., Methods: Nurses and nursing assistants were trained to fill in the questionnaires., Results: In the Dutch sample, residents in small-scale settings had higher mean scores on 'social relations', 'positive affect', and 'having something to do' than residents in traditional settings. Moreover, mean scores on 'caregiver relation' and 'negative affect' remained stable over time among residents in small-scale settings, but decreased in traditional settings. These differences could not be explained by differences in behavioural characteristics, behavioural interventions, or social interaction. In the Belgian sample, fewer differences were found between traditional and small-scale settings. Nevertheless, residents in small-scale settings were reported to experience less 'negative affect' than those in traditional settings, which could be explained by differences in depression. Over time, however, residents 'felt more at home' in traditional settings, whereas no such increase was found for small-scale settings. Moreover, the mean quality of life scores on 'restless behaviour', 'having something to do' and 'social relations' decreased in small-scale settings, but remained stable in traditional settings., Conclusions: Both small-scale and traditional settings appear to have beneficial effects on different domains of quality of life of residents with dementia. Future research should focus more on the quality and content of the care provided, than on the effects of the scale and design of the environment in long-term care settings., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Background: The increase in the number of people with dementia will lead to greater demand for residential care. Currently, large nursing homes are trying to transform their traditional care for residents with dementia to a more home-like approach, by developing small-scale living facilities. It is often assumed that small-scale living will improve the quality of life of residents with dementia. However, little scientific evidence is currently available to test this. The following research question is addressed in this study: Which (combination of) changes in elements affects (different dimensions of) the quality of life of elderly residents with dementia in long-term care settings over the course of one year?, Methods/design: A longitudinal comparative study in traditional and small-scale long-term care settings, which follows a quasi-experimental design, will be carried out in Belgium and the Netherlands. To answer the research question, a model has been developed which incorporates relevant elements influencing quality of life in long-term care settings. Validated instruments will be used to evaluate the role of these elements, divided into environmental characteristics (country, type of ward, group size and nursing staff); basic personal characteristics (age, sex, cognitive decline, weight and activities of daily living); behavioural characteristics (behavioural problems and depression); behavioural interventions (use of restraints and use of psychotropic medication); and social interaction (social engagement and visiting frequency of relatives). The main outcome measure for residents in the model is quality of life. Data are collected at baseline, after six and twelve months, from residents living in either small-scale or traditional care settings., Discussion: The results of this study will provide an insight into the determinants of quality of life for people with dementia living in traditional and small-scale long-term care settings in Belgium and the Netherlands. Possible relevant strengths and weaknesses of the study are discussed in this article., Trial Registration: ISRCTN: ISRCTN23772945.