ABSTRACT
OBJECTIVE: With advancing age comes the increasing prevalence of frailty and increased risk of adverse outcomes (eg, hospitalisation). Evidence for comprehensive geriatric assessment (CGA), a multidimensional holistic model of care, is mixed in community settings. Uncertainties remain, such as the key components of CGA, who delivers it, and the use of technology. This study aimed to understand the perspectives, beliefs and experiences, of both older people and health professionals, to improve the current CGA and explore factors that may impact on CGA delivery in community settings. DESIGN: A qualitative interview study was conducted with older people and healthcare professionals (HCPs) identified using a maximum variation strategy. Data were analysed using an abductive analysis approach. The non-adoption, abandonment, scale-up, spread and sustainability framework and the theoretical framework of acceptability guided the categorisation of the codes and identified categories were mapped to the two frameworks. SETTING: England, UK. RESULTS: 27 people were interviewed, constituting 14 older people and 13 HCPs. We identified limitations in the current CGA: a lack of information sharing between different HCPs who deliver CGA; poor communication between older people and their HCPs and a lack of follow-up as part of CGA. When we discussed the potential for CGA to use technology, HCPs and older people varied in their readiness to engage with it. CONCLUSIONS: Viable solutions to address gaps in the current delivery of CGA include the provision of training and support to use digital technology and a designated comprehensive care coordinator. The next stage of this research will use these findings, existing evidence and stakeholder engagement, to develop and refine a model of community-based CGA that can be assessed for feasibility and acceptability.
Subject(s)
Frailty , Humans , Aged , Frailty/epidemiology , Geriatric Assessment/methods , Hospitalization , Primary Health Care , Qualitative ResearchABSTRACT
OBJECTIVES: To establish the evidence for rehabilitation interventions tested in populations of patients admitted to ICU and critical care with severe respiratory illness, and consider whether the evidence is generalizable to patients with COVID-19. METHODS: The authors undertook a rapid systematic review. Medline (via OvidSP), CINAHL Complete (via EBSCOhost), Cochrane Library, Cochrane Database of Systematic Reviews and CENTRAL (via Wiley), Epistemonikos (via Epistemonikos.org), PEDro (via pedro.org.au) and OTseeker (via otseeker.com) searched to 7 May 2020. The authors included systematic reviews, RCTs and qualitative studies involving adults with respiratory illness requiring intensive care who received rehabilitation to enhance or restore resulting physical impairments or function. Data were extracted by one author and checked by a second. TIDier was used to guide intervention descriptions. Study quality was assessed using Critical Skills Appraisal Programme (CASP) tools. RESULTS: Six thousand nine hundred and three titles and abstracts were screened; 24 systematic reviews, 11 RCTs and eight qualitative studies were included. Progressive exercise programmes, early mobilisation and multicomponent interventions delivered in ICU can improve functional independence. Nutritional supplementation in addition to rehabilitation in post-ICU hospital settings may improve performance of activities of daily living. The evidence for rehabilitation after discharge from hospital following an ICU admission is inconclusive. Those receiving rehabilitation valued it, engendering hope and confidence. CONCLUSIONS: Exercise, early mobilisation and multicomponent programmes may improve recovery following ICU admission for severe respiratory illness that could be generalizable to those with COVID-19. Rehabilitation interventions can bring hope and confidence to individuals but there is a need for an individualised approach and the use of behaviour change strategies. Further research is needed in post-ICU settings and with those who have COVID-19. Registration: Open Science Framework https://osf.io/prc2y.