Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589126
Title: Estimating the prevalence of chronic medical co-morbities in the seriously mentally ill in primary care : a modelling framework
Author: Banarsee, Reethoodhwaj
Awarding Body: University of West London
Current Institution: University of West London
Date of Award: 2013
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Abstract:
An increasing body of evidence suggests that, in comparison to the general population, patients with severe mental illnesses such as schizophrenia or bipolar disorder have worse physical health and a far shorter life expectancy, due primarily to co-morbid chronic diseases. The standardised mortality ratio for all forms of mental disorder is at least 1.5 and varies with the type and severity of the disorder. Whilst data on the prevalence of chronic diseases in primary care is available nationally, there is a lack of health intelligence on medical co-morbidities associated with chronic mental illnesses. The aim of this PhD was to develop and validate epidemiological models for predicting expected prevalence of two major chronic medical conditions namely, coronary heart disease (CHD) and chronic obstructive pulmonary disease (COPD), on general practice data for people with concurrent serious mental illness (SMI) group. The study probed the national epidemiological synthetic estimation of the two physical disorders to determine their prevalence within a local primary care setting and their co-existence within the serious mentally ill (SMI) group identified through the Quality Framework dataset (QOF) within GP practices and their localities. The expected prevalence was compared with recorded cases.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.589126  DOI: Not available
Keywords: Mental health
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