Antidepressant prescribing in NI: an administrative data linkage study

  • Research type

    Research Study

  • Full title

    Prevalence and variation in antidepressant prescribing across Northern Ireland: a longitudinal administrative data linkage study for targeted support.

  • IRAS ID

    225447

  • Contact name

    Mark Shevlin

  • Contact email

    m.shevlin@ulster.ac.uk

  • Sponsor organisation

    Ulster University

  • Clinicaltrials.gov Identifier

    ARDC-NI1043, Administrative Data Research Network (ADRN) reference

  • Duration of Study in the UK

    1 years, 7 months, 1 days

  • Research summary

    Antidepressant prescription rates in the United Kingdom (UK) are among the highest in Western Europe and prescription rates in Northern Ireland (NI) are significantly higher than the rest of the UK. The ‘Script Report’ details that between April and September 2103 GPs in NI prescribed enough antidepressants to give every person in NI a 27-day supply; the same statistics for England and Wales were 10 days and 19 days, respectively. While prescription rates are climbing annually, conversely rates of depression are not changing substantially, and evidence suggests that socio-economic and geographical factors may be responsible.

    A recent Nuffield Trust and Health Foundation Quality Watch report documented trends in the prescribing of antidepressants in primary care across England. Longitudinal analysis demonstrated that several factors such as unemployment and ethnicity all affected antidepressant prescribing, and that the relative importance of these factors varied geographically. For example, GP practices in areas with better housing prescribed fewer antidepressants.

    Despite evidence from England and other Western European countries that socio-economic and geographical factors are linked to increased antidepressant prescribing, no analysis to date has investigated the socio-economic context of antidepressant prescribing in NI. Thus, this project aims to develop comprehensive population-based estimates of the prevalence of antidepressant prescribing, and the variation of estimates within and between geographical areas in NI. Furthermore, the association of personal, and socio-economic factors with antidepressant prescribing will be examined by linking prescribing records (Enhanced Prescribing Database) with data from the 2001/11 Censuses. Subsequently, there will be an analysis of the effect of longitudinal change in these factors by linking data from the 2001 and 2011 Censuses. Meeting these aims with then result in the development of a nationwide map detailing the socio-economic landscape of antidepressant prescribing in NI.

  • REC name

    HSC REC B

  • REC reference

    17/NI/0060

  • Date of REC Opinion

    27 Mar 2017

  • REC opinion

    Favourable Opinion