RESUMO
Multidisciplinary team (MDT) working is essential to optimise and integrate services for people who are frail. MDTs require collaboration. Many health and social care professionals have not received formal training in collaborative working. This study investigated MDT training designed to help participants deliver integrated care for frail individuals during the Covid-19 pandemic. Researchers utilised a semi-structured analytical framework to support observations of the training sessions and analyse the results of two surveys designed to assess the training process and its impact on participants knowledge and skills. 115 participants from 5 Primary Care Networks in London attended the training. Trainers utilised a video of a patient pathway, encouraged discussion of it, and demonstrated the use of evidence-based tools for patient needs assessment and care planning. Participants were encouraged to critique the patient pathway, reflect on their own experiences of planning and providing patient care. 38% of participants completed a pre-training survey, 47% a post-training survey. Significant improvement in knowledge and skills were reported including understanding roles in contributing to MDT working, confidence to speak in MDT meetings, using a range of evidence-based clinical tools for comprehensive assessment and care planning. Greater levels of autonomy, resilience, and support for MDT working were reported. Training proved effective; it could be scaled up and adopted to other settings.
RESUMO
OBJECTIVE: There have been few studies in which the prevalence of frailty of different ethnic groups has been assessed in multiethnic countries. The aim of this study was to evaluate the prevalence of frailty in different ethnic groups in the United Kingdom. METHODS: Anonymized electronic health records (EHR) of 13 510 people aged 65 years and over were extracted from the database of a network of general practitioners, covering 16 clinical commissioning groups in London. Frailty was determined using the electronic Frailty Index (eFI), which was automatically calculated using EHR data. The eFI was used as a categorical variable with fit and mild frailty grouped together, and moderate and severe frailty grouped as frail. RESULTS: The overall prevalence of frailty was 18.1% (95% confidence interval [CI], 17.4%-18.9%). The prevalence of frailty increased with age (odds ratio [OR], 1.11; 95% CI, 1.10-1.12) and body mass index (BMI; OR, 1.05; 95% CI, 1.04-1.06). The highest prevalence of frailty was observed for Bangladeshis, with 32.9% classified as frail (95% CI, 29.2-36.7); and the lowest prevalence of 14.0% (95% CI, 12.6-15.5) was observed for the Black ethnic group. Stepwise logistic regression retained ethnicity, age, and BMI as predictors of frailty. CONCLUSION: This pilot study identified differences in the prevalence of frailty between ethnic groups in a sample of older people living in London. Additional studies are warranted to determine the causes of such differences, including migration and socioeconomic status. It would be worthwhile carrying out a validation study of the eFI in different ethnic populations.