European Collaborative and Interprofessional Capability Framework for Prevention and Management of Frailty-a consensus process supported by the Joint Action for Frailty Prevention (ADVANTAGE) and the European Geriatric Medicine Society (EuGMS).

BACKGROUND: Interprofessional collaborative practice (ICP) is currently recommended for the delivery of high-quality integrated care for older people. Frailty prevention and management are key elements to be tackled on a multi-professional level. AIM: This study aims to develop a consensus-based European multi-professional capability framework for frailty prevention and management. METHODS: Using a modified Delphi technique, a consensus-based framework of knowledge, skills and attitudes for all professions involved in the care pathway of older people was developed within two consultation rounds. The template for the process was derived from competency frameworks collected in a comprehensive approach from EU-funded projects of the European Commission (EC) supported best practice models for health workforce development. RESULTS: The agreed framework consists of 25 items structured in 4 domains of capabilities. Content covers the understanding about frailty, skills for screening and assessment as well as management procedures for every profession involved. The majority of items focused on interprofessional collaboration, communication and person-centred care planning. DISCUSSION: This framework facilitates clarification of professionals' roles and standardizes procedures for cross-sectional care processes. Despite a lack of evidence for educational interventions, health workforce development remains an important aspect of quality assurance in health care systems. CONCLUSIONS: The multi-professional capability framework for frailty prevention and management incorporated interprofessional collaborative practice, consistent with current recommendations by the World Health Organization, Science Advice for Policy by European Academies and the European Commission.

Consumer segmentation and time interval between types of hospital admission: a clinical linkage database study.

Background: Healthcare policies target unplanned hospital admissions and 30-day re-admission as key measures of efficiency, but do not focus on factors that influence trajectories of different types of admissions in the same patient over time. Objectives: To investigate the influence of consumer segmentation and patient factors on the time intervals between different types of hospital admission. Research design, subjects and measures: A cohort design was applied to an anonymised linkage database for adults aged 40 years and over (N = 58 857). Measures included Mosaic segmentation, multimorbidity defined on six chronic condition registers and hospital admissions over a 27-month time period. Results: The shortest mean time intervals between two consecutive planned admissions were: 90 years and over (160 days (95% confidence interval (CI): 146-175)), Mosaic groups 'Twilight subsistence' (171 days (164-179)) or 'Welfare borderline' and 'Municipal dependency' (177 days (172-182)) compared to the reference Mosaic groups (186 days (180-193)), and multimorbidity count of four or more (137 days (130-145)). Mosaic group 'Twilight subsistence' (rate ratio (RR) 1.22 (95% CI: 1.08-1.36)) or 'Welfare borderline' and 'Municipal dependency' RR 1.20 (1.10-1.31) were significantly associated with higher rate to an unplanned admission following a planned event. However, associations between patient factors and unplanned admissions were diminished by adjustment for planned admissions. Conclusion: Specific consumer segmentation and patient factors were associated with shorter time intervals between different types of admissions. The findings support innovation in public health approaches to prevent by a focus on long-term trajectories of hospital admissions, which include planned activity.