18 research outputs found
Feasibility of the REDCap platform for Single Center and Collaborative Multicenter CMR Research
REDCap (Research Enterprise Data CAPture) software may provide a feasible platform for CMR Centers to: a) capture clinical throughput securely for research purposes, and 2) collaborate using a common platform for either distributed or centralized data storage. REDCap may facilitate CMR Centers' participation in the research enterprise, especially those with limited resources. REDCap may catalyze multicenter studies with "distributed data collection" where CMR sites can clone shared data dictionaries across sites for subsequent compilation into a singular master data file
Biom Biostat Int J
CC999999/Intramural CDC HHS/United States2016-06-17T00:00:00Z27331197PMC491222
It's not just the mitral valve - abnormal motion of the whole aorto-mitral apparatus occurs in both overt and subclinical hypertrophic cardiomyopathy
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Advanced assessment of cardiac morphology and prediction of gene carriage by CMR in hypertrophic cardiomyopathy - the HCMNet/UCL collaboration
Relationship of regional myocardial deformation and myocardial fibrosis to myocardial trabeculation: The Multi-Ethnic Study of Atherosclerosis
Evaluating access to health and care services during lockdown by the COVID-19 survey in five UK national longitudinal studies
Objective Access to health services and adequate care is influenced by sex, ethnicity, socioeconomic position (SEP) and the burden of comorbidities. Our study aimed to assess whether the COVID-19 pandemic further deepened these already existing health inequalities.Design Cross-sectional study.Setting Data were collected from five longitudinal age-homogenous British cohorts (born in 2000-2002, 1989-1990, 1970, 1958 and 1946).Participants A web survey was sent to the cohorts. Anybody who responded to the survey was included, resulting in 14 891 eligible participants.Main outcomes measured The survey provided data on cancelled surgical or medical appointments, and the number of care hours received in a week during the first UK COVID-19 national lockdown.Interventions Using binary or ordered logistic regression, we evaluated whether these outcomes differed by sex, ethnicity, SEP and having a chronic illness. Adjustment was made for study design, non-response weights, psychological distress, presence of children or adolescents in the household, COVID-19 infection, key worker status, and whether participants had received a shielding letter. Meta-analyses were performed across the cohorts, and meta-regression was used to evaluate the effect of age as a moderator.Results Women (OR 1.40, 95% CI 1.27 to 1.55) and those with a chronic illness (OR 1.84, 95% CI 1.65 to 2.05) experienced significantly more cancellations during lockdown (all p<0.0001). Ethnic minorities and those with a chronic illness required a higher number of care hours during the lockdown (both OR≈2.00, all p<0.002). SEP was not associated with cancellation or care hours. Age was not independently associated with either outcome in the meta-regression.Conclusion The UK government’s lockdown approach during the COVID-19 pandemic appears to have deepened existing health inequalities, impacting predominantly women, ethnic minorities and those with chronic illnesses. Public health authorities need to implement urgent policies to ensure equitable access to health and care for all in preparation for a fourthwave