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Background: Unplanned admissions to hospital represent a hazardous event for older people. Timely identification of high-risk individuals using a prediction tool may facilitate preventive interventions. Aim: To develop and validate an easy-to-use prediction model for unplanned admissions to hospital in community-dwelling older adults using readily available data to allow rapid bedside assessment by GPs. Design and setting: This was a retrospective study using the general practice electronic health records of 243 324 community-dwelling adults aged ≥65 years linked with national administrative data to predict unplanned admissions to hospital within 6 months. Method: The dataset was geographically split into a development (n = 142 791/243 324, 58.7%) and validation (n = 100 533/243 324, 41.3%) sample to predict unplanned admissions to hospital within 6 months. The performance of three different models was evaluated with increasingly smaller selections of candidate predictors (optimal, readily available, and easy-to-use models). Logistic regression was used with backward selection for model development. The models were validated internally and externally. Predictive performance was assessed by area under the curve (AUC) and calibration plots. Results: In both samples, 7.6% (development cohort: n = 10 839/142 791, validation cohort: n = 7675/100 533) had ≥1 unplanned hospital admission within 6 months. The discriminative ability of the three models was comparable and remained stable after geographic validation. The easy-to-use model included age, sex, prior admissions to hospital, pulmonary emphysema, heart failure, and polypharmacy. Its discriminative ability after validation was AUC 0.72 (95% confidence interval = 0.71 to 0.72). Calibration plots showed good calibration. Conclusion: The models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not have an impact on predictive performance, demonstrating the robustness of the model. An easy-to-use tool has been developed in this study that may assist GPs in decision making and with targeted preventive interventions. [ABSTRACT FROM AUTHOR]

Introduction: This paper provides insight into the development of the Dutch Dementia Care and Support Registry and the lessons that can be learned from it. The aim of this Registry was to contribute to quality improvement in dementia care and support. Methods: This paper describes how the Registry was set up in four stages, reflecting the four FAIR principles: the selection of data sources (Findability); obtaining access to the selected data sources (Accessibility); data linkage (Interoperability); and the reuse of data (Reusability). Results: The linkage of 16 different data sources, including national routine health and administrative data appeared to be technically and legally feasible. The linked data in the Registry offers rich information about (the use of) care for persons with dementia across various healthcare settings, including but not limited to primary care, secondary care, long-term care and medication use, that cannot be obtained from single data sources. Conclusions: A key lesson learned is that in order to reuse the data for quality improvement in practice, it is essential to involve healthcare professionals in setting up the Registry and to guide them in the interpretation of the data. [ABSTRACT FROM AUTHOR]

One of the barriers regarding evidence-informed decision making is the gap between the needs of policy makers and the ways researchers present evidence. This pilot study evaluates the barriers and facilitators to the implementation of a tool to enhance transparent and unambiguous communication on scientific evidence by knowledge workers. Therefore, mixed methods (qualitative and quantitative) were applied. The results indicate that to promote successful implementation of such a tool, efforts should be undertaken to provide time and guidance on how to adapt routines and on how to apply the tool to various products.

Objective: To describe the development and validation of the Dementia Knowledge Scale (DKS) among family caregivers with a Turkish or Moroccan immigrant background. Methods: The 11 items of the DKS, selected by professionals and people with a Turkish or Moroccan background, were translated and adapted in Turkish and Dutch. The feasibility, comprehensibility and appropriateness of the 2 language versions were examined. Subsequently, both languages were assessed among caregivers from these groups. The internal consistency of both language versions was determined by calculating Cronbach's a. The known group validity was determined by comparing mean scores between subgroups. Results: Both language versions of the DKS were considered feasible, comprehensible, and appropriate. A total of 117 caregivers with a Turkish background completed the Turkish version of the DKS and 110 with a Moroccan background the Dutch version. The Turkish version showed adequate internal consistency but the Dutch version did not. No differences were found in mean scores between those with a low level of education versus those with a higher level; those who frequently provided care versus those who did so less frequently; and those who lived together with a person with dementia versus those who did not. Conclusions: The DKS is feasible, comprehensible and reliable and can be used among groups with an immigrant background. Practice Implications: The DKS provides insight into various aspects of dementia knowledge, including knowledge about risk factors and symptoms, among caregivers with a Turkish or Moroccan background, and thereby supports the development of tailored education for these groups. [ABSTRACT FROM AUTHOR]

Objectives To evaluate whether the prevalence of health problems in cohabiting partners of people with dementia differs between the year before and the year after 3 transitions: the diagnosis of dementia, institutionalization, and the death of the person with dementia. Methods Individuals with dementia and their partners were identified on the basis of data in the electronic health records (EHRs) of 451 Dutch general practices. EHRs were also the data source on their health problems, which were linked to the Dutch population registry and health administration data with demographic characteristics, date of institutionalization, and date of death. Differences in the prevalence of 16 groups of health problems and of specific health problems in partners during the year before and the year after the 3 transitions were examined using a generalized estimating equation. Results About 1,110 partners of persons with dementia were identified. Problems related to the illness and/or loss of the person with dementia were significantly more prevalent in the year after the dementia diagnosis (32% vs. 17%) and in the year after the death of the person with dementia (59% vs. 41%) than in the years before. Unspecified health problems were more prevalent in the year after the diagnosis than in the year before (30% vs. 22%). After institutionalization, an increase was found in digestive problems and urological problems (30% vs. 18% and 24% vs. 17%). Discussion Transitions during the dementia care trajectory, namely, the diagnosis, institutionalization, and death of the person with dementia, significantly affect the cohabiting partner's health. [ABSTRACT FROM AUTHOR]