Data-mining analyses of the DCCT/EDIC data allow the identification of accurate predictive models for diabetes-related complications. We also present initial evidences that these models can be applied on a more recent, European population.
As part of their implementation programme of leg ulcer guidelines, the group conducted a study of the caseload and attitudes and training of practice nurses with relation to leg ulcer management. They begin by outlining the prevalence and treatment methods of leg ulcers, then outline their study and put forward their resulting recommendations.
Ideally those at highest risk of fracture should be identified prior to fracture occurrence to reduce mortality, morbidity and costs. Case-finding strategies for those at high risk of first fracture or systematic case-finding strategies following fracture are recommended in the UK, rather than population-based screening to identify individuals at high fracture risk. General practices in the UK hold relevant data on individuals beyond fracture history that could allow identification of a wider group of patients at highest risk of fracture. The aim of the paper is to evaluate the feasibility of applying the WHO-FRAX fracture risk calculator to general practice populations using existing recorded data. A cross-sectional study of 2467 women aged 50 years and older (mean 66.2 years, standard deviation = 11.3) registered with two Scottish General Practices with low deprivation (one semi-rural, one urban) was undertaken. Patient data were extracted from the two general practices' patient information databases and the WHO-FRAX calculator was applied to these data. WHO-FRAX calculation was possible on 1872 patients. Of these, 687 patients were found to have a high fracture risk (risk of major facture ≥15% and or risk of hip fracture ≥3% - 37% of the WHO-FRAX assessed cohort) and should be considered for follow-up. In conclusion, use of the WHO-FRAX calculator using general practice-held data is feasible and can help to identify a patient group at higher fracture risk. Further evaluation and treatments can then be targeted at this group.
This paper describes the interim evaluation analysis undertaken by two of five inCASA project pilot sites. inCASA is an EU co-funded pilot project which aims at developing an integrated health and social service model supported by innovative technology solutions to enable an ageing and frail population to stay well in their own homes for longer. The aim of the UK pilot located in Chorleywood, West Hertfordshire has been to bring together primary and social care in order to improve referral, sharing of information and identification of those patients in need. Similarly, the main objective of the Konstantopouleio General Hospital of Nea Ionia Greek pilot in the inCASA project is to develop an integrated healthcare service for patients suffering from Heart Failure.
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