Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728683
Title: The use of routine administrative datasets and record-linkage to measure population mental health of young people in Northern Ireland
Author: Tseliou, Foteini
ISNI:       0000 0004 6495 2748
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2017
Availability of Full Text:
Full text unavailable from EThOS. Thesis embargoed until 01 May 2019
Abstract:
The lifetime burden of mental ill-health, has been recognised as a major public health issue. Inconsistencies in assessment and diverse methodologies have led to a lack of comparability. This PhD thesis attempts to assess secondary administrative datasets in measuring mental health at a population level in Northern Ireland. At first, this thesis focuses on the linkage between the Child Health System (CHS) dataset and nation-wide prescription data, using the Health and Care Number. Through this, the interplay between perinatal factors and later psychotropic medication uptake is investigated. The second source of data that was assessed was information drawn from the Census returns, stored within either the Northern Ireland Longitudinal Study (NILS) or the Northern Ireland Mortality Study (NIMS). Two separate studies were run, with the first focusing on the effect of childhood residential mobility on mental health and the second investigating the burden of caregiving in mental health and mortality rates with specific reference to differences among different age groups of caregivers. Finally, an investigation was conducted on the potential use of the Northern Ireland Health Survey for the purposes of measuring population mental ill-health, comparing self-reported psychotropic medication uptake and GHQ-12 scores. This thesis highlights the potential utility and associated caveats of administrative datasets and record linkage methodologies in the measurement of population mental ill-health and its association with potential risk factors across the life course.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.728683  DOI: Not available
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