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

C.E. Lloyd, S. Mughal, T. Roy, N.T. Raymond, J.P. O'Hare, A.H. Barnett, S. Bellary

Research output: Contribution to journalArticle

Abstract

Aims: To investigate concordance with medication, as assessed at baseline and at 1- and 2-year follow-up, and to examine factors associated with non-concordance in a UK-resident South-Asian population. Methods: Data from the UK Asian Diabetes Study were analysed. Concordance with medications was assessed and recorded at three time points during the study. Multiple logistic regression was used to investigate the factors associated with non-concordance; the associations of baseline factors with year 1 concordance and baseline plus year 1 factors with year 2 concordance. Results: Data for 403 patients from seven practices participating in the UK Asian Diabetes Study were analysed. The numbers of patients who were non-concordant were: 63 (16%) at baseline 101 (25%) at year 1; and 122 (30%) at year 2. The baseline-measured variables that were significantly associated with year 1 non-concordance included diabetes duration, history of cardiovascular disease, components of the EuroQol quality of life questionnaire, the EQ-5D score, and number of medications prescribed. In multivariable analyses, the most important determinant of year 1 non-concordance was baseline non-concordance: odds ratio 13.6 (95% confidence limits 4.7, 39.9). Number of medications prescribed for blood pressure control was also significant: odds ratio 1.8 (95% confidence limits 1.4, 2.4). Similar results were observed for year 2 non-concordance. Conclusions: Non-concordance with medications was common and more likely in people prescribed more medications. The current target-driven management of risk factor levels may lead to increasing numbers and doses of medications. Considering the high cost of medications and the implications of poor health behaviours on morbidity and mortality, further investigation of prescribing behaviours and the factors affecting patient concordance are required.

Original languageEnglish
Pages (from-to)1600-1609
Number of pages10
JournalDiabetic Medicine
Volume31
Issue number12
Early online date28 Aug 2014
DOIs
Publication statusPublished - Dec 2014

Fingerprint

Odds Ratio
Health Behavior
Cardiovascular Diseases
Logistic Models
Quality of Life
Blood Pressure
Morbidity
Costs and Cost Analysis
Mortality
Population
Surveys and Questionnaires

Cite this

Lloyd, C. E., Mughal, S., Roy, T., Raymond, N. T., O'Hare, J. P., Barnett, A. H., & Bellary, S. (2014). What factors influence concordance with medications? Findings from the UK Asian Diabetes study. Diabetic Medicine, 31(12), 1600-1609. https://doi.org/10.1111/dme.12554
Lloyd, C.E. ; Mughal, S. ; Roy, T. ; Raymond, N.T. ; O'Hare, J.P. ; Barnett, A.H. ; Bellary, S. / What factors influence concordance with medications? Findings from the UK Asian Diabetes study. In: Diabetic Medicine. 2014 ; Vol. 31, No. 12. pp. 1600-1609.
@article{e942504935d04502aa5913831922c546,
title = "What factors influence concordance with medications? Findings from the UK Asian Diabetes study",
abstract = "Aims: To investigate concordance with medication, as assessed at baseline and at 1- and 2-year follow-up, and to examine factors associated with non-concordance in a UK-resident South-Asian population. Methods: Data from the UK Asian Diabetes Study were analysed. Concordance with medications was assessed and recorded at three time points during the study. Multiple logistic regression was used to investigate the factors associated with non-concordance; the associations of baseline factors with year 1 concordance and baseline plus year 1 factors with year 2 concordance. Results: Data for 403 patients from seven practices participating in the UK Asian Diabetes Study were analysed. The numbers of patients who were non-concordant were: 63 (16{\%}) at baseline 101 (25{\%}) at year 1; and 122 (30{\%}) at year 2. The baseline-measured variables that were significantly associated with year 1 non-concordance included diabetes duration, history of cardiovascular disease, components of the EuroQol quality of life questionnaire, the EQ-5D score, and number of medications prescribed. In multivariable analyses, the most important determinant of year 1 non-concordance was baseline non-concordance: odds ratio 13.6 (95{\%} confidence limits 4.7, 39.9). Number of medications prescribed for blood pressure control was also significant: odds ratio 1.8 (95{\%} confidence limits 1.4, 2.4). Similar results were observed for year 2 non-concordance. Conclusions: Non-concordance with medications was common and more likely in people prescribed more medications. The current target-driven management of risk factor levels may lead to increasing numbers and doses of medications. Considering the high cost of medications and the implications of poor health behaviours on morbidity and mortality, further investigation of prescribing behaviours and the factors affecting patient concordance are required.",
author = "C.E. Lloyd and S. Mughal and T. Roy and N.T. Raymond and J.P. O'Hare and A.H. Barnett and S. Bellary",
year = "2014",
month = "12",
doi = "10.1111/dme.12554",
language = "English",
volume = "31",
pages = "1600--1609",
journal = "Diabetic Medicine",
issn = "0742-3071",
publisher = "Wiley-Blackwell",
number = "12",

}

Lloyd, CE, Mughal, S, Roy, T, Raymond, NT, O'Hare, JP, Barnett, AH & Bellary, S 2014, 'What factors influence concordance with medications? Findings from the UK Asian Diabetes study', Diabetic Medicine, vol. 31, no. 12, pp. 1600-1609. https://doi.org/10.1111/dme.12554

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.; Bellary, S.

In: Diabetic Medicine, Vol. 31, No. 12, 12.2014, p. 1600-1609.

Research output: Contribution to journalArticle

TY - JOUR

T1 - What factors influence concordance with medications? Findings from the UK Asian Diabetes study

AU - Lloyd, C.E.

AU - Mughal, S.

AU - Roy, T.

AU - Raymond, N.T.

AU - O'Hare, J.P.

AU - Barnett, A.H.

AU - Bellary, S.

PY - 2014/12

Y1 - 2014/12

N2 - Aims: To investigate concordance with medication, as assessed at baseline and at 1- and 2-year follow-up, and to examine factors associated with non-concordance in a UK-resident South-Asian population. Methods: Data from the UK Asian Diabetes Study were analysed. Concordance with medications was assessed and recorded at three time points during the study. Multiple logistic regression was used to investigate the factors associated with non-concordance; the associations of baseline factors with year 1 concordance and baseline plus year 1 factors with year 2 concordance. Results: Data for 403 patients from seven practices participating in the UK Asian Diabetes Study were analysed. The numbers of patients who were non-concordant were: 63 (16%) at baseline 101 (25%) at year 1; and 122 (30%) at year 2. The baseline-measured variables that were significantly associated with year 1 non-concordance included diabetes duration, history of cardiovascular disease, components of the EuroQol quality of life questionnaire, the EQ-5D score, and number of medications prescribed. In multivariable analyses, the most important determinant of year 1 non-concordance was baseline non-concordance: odds ratio 13.6 (95% confidence limits 4.7, 39.9). Number of medications prescribed for blood pressure control was also significant: odds ratio 1.8 (95% confidence limits 1.4, 2.4). Similar results were observed for year 2 non-concordance. Conclusions: Non-concordance with medications was common and more likely in people prescribed more medications. The current target-driven management of risk factor levels may lead to increasing numbers and doses of medications. Considering the high cost of medications and the implications of poor health behaviours on morbidity and mortality, further investigation of prescribing behaviours and the factors affecting patient concordance are required.

AB - Aims: To investigate concordance with medication, as assessed at baseline and at 1- and 2-year follow-up, and to examine factors associated with non-concordance in a UK-resident South-Asian population. Methods: Data from the UK Asian Diabetes Study were analysed. Concordance with medications was assessed and recorded at three time points during the study. Multiple logistic regression was used to investigate the factors associated with non-concordance; the associations of baseline factors with year 1 concordance and baseline plus year 1 factors with year 2 concordance. Results: Data for 403 patients from seven practices participating in the UK Asian Diabetes Study were analysed. The numbers of patients who were non-concordant were: 63 (16%) at baseline 101 (25%) at year 1; and 122 (30%) at year 2. The baseline-measured variables that were significantly associated with year 1 non-concordance included diabetes duration, history of cardiovascular disease, components of the EuroQol quality of life questionnaire, the EQ-5D score, and number of medications prescribed. In multivariable analyses, the most important determinant of year 1 non-concordance was baseline non-concordance: odds ratio 13.6 (95% confidence limits 4.7, 39.9). Number of medications prescribed for blood pressure control was also significant: odds ratio 1.8 (95% confidence limits 1.4, 2.4). Similar results were observed for year 2 non-concordance. Conclusions: Non-concordance with medications was common and more likely in people prescribed more medications. The current target-driven management of risk factor levels may lead to increasing numbers and doses of medications. Considering the high cost of medications and the implications of poor health behaviours on morbidity and mortality, further investigation of prescribing behaviours and the factors affecting patient concordance are required.

UR - http://www.scopus.com/inward/record.url?scp=84910594128&partnerID=8YFLogxK

UR - https://onlinelibrary.wiley.com/doi/abs/10.1111/dme.12554

U2 - 10.1111/dme.12554

DO - 10.1111/dme.12554

M3 - Article

AN - SCOPUS:84910594128

VL - 31

SP - 1600

EP - 1609

JO - Diabetic Medicine

JF - Diabetic Medicine

SN - 0742-3071

IS - 12

ER -

Lloyd CE, Mughal S, Roy T, Raymond NT, O'Hare JP, Barnett AH et al. What factors influence concordance with medications? Findings from the UK Asian Diabetes study. Diabetic Medicine. 2014 Dec;31(12):1600-1609. https://doi.org/10.1111/dme.12554