aiMH Lab

applied informatics for Mental Health

Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data


Journal article


Annie Jeffery, C. Bhanu, K. Walters, I. Wong, D. Osborn, Joseph F. Hayes
The British journal of general practice : the journal of the Royal College of General Practitioners, 2022

Semantic Scholar DOI PubMedCentral PubMed
Cite

Cite

APA   Click to copy
Jeffery, A., Bhanu, C., Walters, K., Wong, I., Osborn, D., & Hayes, J. F. (2022). Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data. The British Journal of General Practice : the Journal of the Royal College of General Practitioners.


Chicago/Turabian   Click to copy
Jeffery, Annie, C. Bhanu, K. Walters, I. Wong, D. Osborn, and Joseph F. Hayes. “Polypharmacy and Antidepressant Acceptability in Comorbid Depression and Type 2 Diabetes: a Cohort Study Using UK Primary Care Data.” The British journal of general practice : the journal of the Royal College of General Practitioners (2022).


MLA   Click to copy
Jeffery, Annie, et al. “Polypharmacy and Antidepressant Acceptability in Comorbid Depression and Type 2 Diabetes: a Cohort Study Using UK Primary Care Data.” The British Journal of General Practice : the Journal of the Royal College of General Practitioners, 2022.


BibTeX   Click to copy

@article{annie2022a,
  title = {Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data},
  year = {2022},
  journal = {The British journal of general practice : the journal of the Royal College of General Practitioners},
  author = {Jeffery, Annie and Bhanu, C. and Walters, K. and Wong, I. and Osborn, D. and Hayes, Joseph F.}
}

Abstract

Background Polypharmacy may increase the risk of drug interactions, side effects, and poor adherence; however, the impact of polypharmacy on antidepressant acceptability in individuals with type 2 diabetes (T2DM) is unknown. Aim To investigate the association between number of prescribed medications and early antidepressant discontinuation in adults with T2DM. Design and setting Cohort study using UK primary care data from the Clinical Practice Research Datalink between 1 January 2000 and 31 December 2018. Method Cox regression with penalised B-splines was used to describe the association between the number of concurrently prescribed medications at the time of starting antidepressant treatment and each of the outcomes. Results A total of 73 808 individuals with comorbid depression and T2DM starting antidepressant treatment for the first time were identified. A median of 7 concurrent medications were prescribed. Within 32 weeks, 44.26% (n = 32 665) of participants discontinued antidepressant treatment altogether, and 11.75% (n = 8672) of participants switched antidepressant agents. An inverse relationship between the number of concurrent medications and discontinuing antidepressant treatment altogether was found. The median of 7 concurrent medications was associated with a 65.06% decrease in early antidepressant discontinuation; hazard ratio 0.45, 95% confidence interval = 0.37 to 0.55. No evidence of an association between the number of concurrent medications and switching antidepressant agents was found. Conclusion Early discontinuation of antidepressants is common in adults with T2DM; however, individuals with higher levels of concurrent polypharmacy may be more adherent to treatment. These are likely to represent individuals with worse physical or mental health. Individuals with lower levels of concurrent polypharmacy may benefit from adherence support.