Unmet need for chronic mental ill health: A population-based record linkage study

Michael Rosato, Foteini Tseliou, Dermot O'reilly

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    2 Citations (Scopus)
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    Abstract

    Introduction Many people with chronic mental ill health do not receive the treatment they require, though the true extent of the associated socio-demographic and socio-economic factors is unknown.

    Objectives This unique record linkage study quantifies the characteristics of those reporting chronic poor mental health and the likelihood of being in receipt of pharmacological treatment for those who report chronic mental ill health.

    Methods The Northern Ireland Longitudinal Study (NILS), a random 28% of the 2011 Census returns (aged 25-74), was linked to a population-wide electronic database of prescribed medications. All cohort attributes, including presence of chronic poor mental health were derived from the Census. Logistic regression was used to test the likelihood of people with poor mental health being prescribed psychotropic medication. These findings were compared against similarly derived characteristics of those with respiratory illness on treatment.

    Results Overall, 23,803 (8.3%) of the enumerated 286,717 reported poor mental health and, while 81.5% received pharmacological treatment, those of non-white background (OR=0.38: 95%CI=0.26-0.54), never married (OR=0.67: 95%CI=061-0.73), unemployed (OR=0.65: 95%CI=0.53-0.81) or living in a rural area (OR=0.88: 95%CI=0.79-0.98) were less likely than their respective peers to receive medication for poor mental health. Non-treatment of respiratory illness was less socially patterned.

    Conclusions Some but not all of the observed variation in receipt of psychotropic medicines may represent unmet need. Further studies are required to clarify the patterning of and possible reasons for underuse, including understanding of and attitudes towards healthcare services of groups who are identified as being less likely to receive treatment (for example ethnic minorities and unemployed).
    Original languageEnglish
    Pages (from-to)1-12
    Number of pages12
    JournalInternational Journal of Population Data Science
    Volume4
    Issue number1
    DOIs
    Publication statusPublished (in print/issue) - 30 Nov 2019

    Keywords

    • mental health
    • record linkage
    • unmet need

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