Background: We developed a prototype minimum data set (MDS) for English care homes, assessing feasibility of extracting data directly from digital care records (DCRs) with linkage to health and social care data.
Methods: Through stakeholder development workshops, literature reviews, surveys and public consultation, we developed an aspirational MDS. We identified ways to extract this from existing sources, including DCRs and routine health and social care datasets.
Introduction: Information on care home residents in England is captured in numerous data sets (care home records, General Practitioner records, community nursing, etc.) but little of this information is currently analysed in a way that is useful for care providers, current or future residents and families or that realises the potential of data to enhance care provision. The DACHA study aimed to develop and test a minimum data set (MDS) which would bring together data that is useful to support and improve care and facilitate research.
View Article and Find Full Text PDFBackground: Musculoskeletal diseases are a major contributor to global human disability, but research in this area of medicine contends with chronic underfunding in the United States, receiving <2% of the National Institutes of Health (NIH) budget. The Orthopaedic Research and Education Foundation (OREF) serves as a vital nongovernmental organization, providing essential support for orthopaedic research. This study investigated the translation of various OREF grants into successful extramural federal funding discerning the clinician demographics and OREF award characteristics associated with increased chances of securing federal grants.
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