ABSTRACT
BACKGROUND: As dementia progresses, symptoms and concerns increase, causing considerable distress for the person and their caregiver. The integration of care between care homes and health care services is vital to meet increasing care needs and maintain quality of life. However, care home access to high-quality health care is inequitable. eHealth can facilitate this by supporting remote specialist input on care processes, such as clinical assessment and decision-making, and streamlining care on site. How to best implement eHealth in the care home setting is unclear. OBJECTIVE: The aim of this review was to identify the key factors that influence the implementation of eHealth for people living with dementia in long-term care. METHODS: A systematic search of Embase, PsycINFO, MEDLINE, and CINAHL was conducted to identify studies published between 2000 and 2020. Studies were eligible if they focused on eHealth interventions to improve treatment and care assessment or decision-making for residents with dementia in care homes. Data were thematically analyzed and deductively mapped onto the 6 constructs of the adapted Consolidated Framework for Implementation Research (CFIR). The results are presented as a narrative synthesis. RESULTS: A total of 29 studies were included, focusing on a variety of eHealth interventions, including remote video consultations and clinical decision support tools. Key factors that influenced eHealth implementation were identified across all 6 constructs of the CFIR. Most concerned the inner setting construct on requirements for implementation in the care home, such as providing a conducive learning climate, engaged leadership, and sufficient training and resources. A total of 4 novel subconstructs were identified to inform the implementation requirements to meet resident needs and engage end users. CONCLUSIONS: Implementing eHealth in care homes for people with dementia is multifactorial and complex, involving interaction between residents, staff, and organizations. It requires an emphasis on the needs of residents and the engagement of end users in the implementation process. A novel conceptual model of the key factors was developed and translated into 18 practical recommendations on the implementation of eHealth in long-term care to guide implementers or innovators in care homes. Successful implementation of eHealth is required to maximize uptake and drive improvements in integrated health and social care.
Subject(s)
Dementia , Telemedicine , Caregivers , Dementia/therapy , Humans , Long-Term Care , Quality of LifeABSTRACT
BACKGROUND: People from ethnic minority groups and deprived socioeconomic backgrounds have worse outcomes from COVID-19. AIM: To examine associations between ethnicity and deprivation with timing of palliative care referral for inpatients with COVID-19. DESIGN: Service evaluation of consecutive patients with COVID-19 referred to palliative care. Sociodemographic (including age, sex, Index of Multiple Deprivation, ethnicity coded as White/non-White) and clinical variables were described. The primary outcome was timing of referral to palliative care. Associations between ethnicity and socioeconomic deprivation with the primary outcome were explored using multivariable regression. SETTING/PARTICIPANTS: Patients with COVID-19 referred to a hospital palliative care service across two London hospitals February-May 2020. RESULTS: A total of 334 patients were included. 119 (36%) were from a non-White ethnic group; most commonly Black British (77, 23%) and Asian British (26, 8%). A longer time between admission and palliative care referral was associated with male gender (IRR 1.23, 95% CI 1.14-1.34) and lower levels of socioeconomic deprivation (IRR 1.61, 95% CI 1.36-1.90) but not ethnicity (IRR = 0.96, 95% CI 0.87-1.06). CONCLUSIONS: This large service evaluation showed no evidence that patients from ethnic minority or more deprived socioeconomic groups had longer time to palliative care referral. Ongoing data monitoring is essential for equitable service delivery.