What factors influence concordance with medications? Findings from the UK Asian Diabetes Study.

Lloyd, C. E.; Mughal, S.; Roy, T.; Raymond, N. T.; O'Hare, J. P.; Barnett, A. H. and Bellary, S. (2014). What factors influence concordance with medications? Findings from the UK Asian Diabetes Study. Diabetic Medicine, 31(12) pp. 1600–1609.

DOI: https://doi.org/10.1111/dme.12554

Abstract

Aims The aims of this study were to investigate levels of concordance with medication taken at baseline assessment and after two years of follow-up and to examine the factors that might be associated with non-concordance in a South Asian population living in the UK.

Methods A secondary data analysis was conducted on a sub-sample of general practices participating in either the intervention or control arm of the cluster randomised controlled trial UK Asian Diabetes study(UKADS), to examine factors associated with non-concordance with medications.

Results Non-concordance was significantly associated with older age, severe anxiety or depression and a higher number of prescribed medications (blood pressure, cholesterol, diabetes medications and other types of medication). Multivariable analyses confirmed that prescription of a higher number of blood pressure (odds ratio (95% confidence interval) 3.74 (2.63 – 5.34)) or diabetes medications 1.77 (1.05 – 3.10) and poor mental health 6.06 (1.57 – 23.47) were independently associated with non-concordance at baseline with baseline concordance 6.55 (2.52 – 17.00) being an additional significant factor at follow-up.

Conclusions Non-concordance with medications is common and more likely in people prescribed more medications for diabetes and its complications. These results are a cause for concern, especially given the current climate of aiming to achieve specified risk factor levels, often by increasing numbers as well as doses of medications. From a health services provision perspective, the high cost of medications and the implications of poor health behaviours on morbidity and mortality as well as health services utilisation are important considerations.

Viewing alternatives

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

Recommendations