Despite many attempts to evaluate the effectiveness of case management for frail older people, systematic reviews including experimental designs show inconsistent results. Starting from the view that case management is a complex intervention occurring in multilayered realities, we conducted a realist evaluation of case management in Belgium, where this type of intervention is new. Realist approaches are particularly well suited to evaluate complex interventions as they seek to investigate iteratively the literature and empirical data to uncover mid-range theories underpinning the intervention under study. As such, realist evaluations are works in progress which provide tools to describe how, why and for whom an intervention is supposed to work. In this paper, we describe two mid-range theories that can explain why case management can help frail older people to remain at home, through the lens of capacity and social support.
Background: Accurate identification of older persons at risk of unplanned hospital visits can facilitate preventive interventions. Several risk scores have been developed to identify older adults at risk of unplanned hospital visits. It is unclear whether risk scores developed in one country, perform as well in another. This study validates seven risk scores to predict unplanned hospital admissions and emergency department (ED) visits in older home care recipients from six countries. Methods: We used the IBenC sample (n=2446), a cohort of older home care recipients from six countries (Belgium, Finland, Germany, Iceland, Italy and The Netherlands) to validate four specific risk scores (DIVERT, CARS, EARLI and previous acute admissions) and three frailty indicators (CHESS, Fried Frailty Criteria and Frailty Index). Outcome measures were unplanned hospital admissions, ED visits or any unplanned hospital visits after six months. Missing data were handled by multiple imputation. Performance was determined by assessing calibration and discrimination (area under receiver operating characteristic curve (AUC)). Results: Risk score performance varied across countries. In Iceland, DIVERT and CARS reached a fair predictive value (AUC 0.74 (0.68-0.80) and AUC 0.74 (0.67-0.80), respectively, for any unplanned hospital visits). In Finland, DIVERT had fair performance predicting ED visits (AUC 0.72 (0.67-0.77)) and any unplanned hospital visits (AUC 0.73 (0.67-0.77)). In other countries, AUCs did not exceed 0.70. Conclusions: Geographical validation of risk scores predicting unplanned hospital visits in home care recipients showed substantial variations of poor to fair performance across countries. Unplanned hospital visits seem considerably dependent on health care context. Therefore, risk scores should be validated regionally before applied to practice. Future studies should focus on identification of more discriminative predictors and develop more accurate risk scores that work in multiple country’s care contexts.
Background/objective maintaining informal caregiver’s ability to continue care can prevent early institutionalisation and decrease health care costs, contributing to sustainable health care. This study aims to identify factors associated with informal caregiver’s ability to continue care across several degrees of cognitive decline and risk of burden. Methods this is a cross-sectional study that collected nationwide data on frail older people and their informal caregivers living in the community. Instruments used were InterRAI Home Care, Zarit Burden Interview and questionnaire for the informal caregiver. Multivariate logistic regression analyses and a stratification of the population were performed. Results a total of 8,309 people had at least one primary caregiver, and a majority of them were able to continue care (68.2%). Cognitive impairment was a risk factor for being able to continue care, even the borderline (odds ratios (ORs): 0.72; 95% CI: 0.61–0.85) or mild condition (OR: 0.52; 95% CI: 0.43–0.61). Protective factors like social participation of older people, strong family support and availability of a secondary caregiver showed the highest association in subgroups with mild cognitive impairment (ORs: 2.20, 2.08, 1.64) and in subgroups at low risk of burden (ORs: 1.91, 2.77, 1.64). Conclusion factors associated with informal caregiver’s ability to continue care vary across several degrees of cognitive decline and risk of burden. Interventions related to family and social support resources are recommended, and informal caregivers at a lower level of risk may benefit most. Supportive counselling should be proactively provided to informal caregivers, considering the changes of associated factors with the ongoing caregiving situation.
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