ORCID Profile
0000-0002-1456-7994
Current Organisation
University of Northampton
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Publisher: Wiley
Date: 12-2001
DOI: 10.1046/J.1351-0126.2001.00426.X
Abstract: The need for accurate local information on the scale, nature and outcome of absconding or Absence Without Leave (AWOL) from an independent UK psychiatric hospital led to this 3-year (1997-1999) retrospective analysis of of AWOL data. One hundred and forty-eight AWOL incidents involving 88 patients were identified. Absconders were found to be significantly younger, more likely to be detained upon admission and more likely to be unmarried than a control group (n = 1378) of non-absconders. There were no significant differences for sex, length of admission or ethnicity. Descriptive data on the circumstances surrounding AWOL events are given, with at least 24 (16.2%) incidents having serious adverse outcomes. Baseline absconding rates are presented for the specialist clinical isions within the hospital. There is a need for more detailed studies of absconding by patients within the Adolescent Mental Health Service subgroup where the absconding rate was relatively high and engagement in risk activity whilst AWOL relatively frequent.
Publisher: American Association for Cancer Research (AACR)
Date: 07-0004
DOI: 10.1158/1940-6207.CAPR-16-0288
Abstract: Several multivariable risk prediction models have been developed to asses an in idual's risk of developing specific cancers. Such models can be used in a variety of settings for prevention, screening, and guiding investigations and treatments. Models aimed at predicting future disease risk that contains lifestyle factors may be of particular use for targeting health promotion activities at an in idual level. This type of cancer risk prediction is not yet available in the UK. We have adopted the approach used by the well-established U.S.-derived "YourCancerRisk" model for use in the UK population, which allow users to quantify their in idual risk of developing in idual cancers relative to the population average risk. The UK version of “YourCancerRisk" computes 10-year cancer risk estimates for 11 cancers utilizing UK figures for prevalence of risk factors and cancer incidence. Because the prevalence of risk factors and the incidence rates for cancer are different between the U.S. and the UK population, this UK model provides more accurate estimates of risks for a UK population. Using an ex le of breast cancer and data from UK Biobank cohort, we demonstrate that the in idual risk factor estimates are similar for the U.S. and UK populations. Assessment of the performance and validation of the multivariate model predictions based on a binary score confirm the model's applicability. The model can be used to estimate absolute and relative cancer risk for use in Primary Care and community settings and is being used in the community to guide lifestyle change. Cancer Prev Res 10(7) 421–30. ©2017 AACR.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jackie Campbell.