|
ASSOCIATION BETWEEN MEDICATION REGIMEN COMPLEXITY AND ACHIEVEMENT OF THERAPEUTIC
GOALS IN PATIENTS WITH TYPE 2 DIABETES
Munro K, George J, McCaig D, Cunningham S, Stewart D
School of Pharmacy, The Robert Gordon University, Aberdeen, AB10 1FR (k.munro@rgu.ac.uk)
Introduction
Adherence to drug regimens is a challenge in patients with type 2
diabetes1 and might jeopardise therapeutic outcomes. We studied the potential
impact of medication regimen complexity and demographic factors on achievement
of therapeutic goals (glycaemic control, blood pressure, and lipid levels)
in patients with type 2 diabetes.
Methods
A pre-piloted postal questionnaire was sent to 407 type 2 diabetics
receiving oral hypoglycaemics identified from repeat prescribing records
of three medical practices in Aberdeen. Patients were asked details of
current medicines, most recent values of blood pressure (BP), total cholesterol
(TC), glycosylated haemoglobin (HbA1c) and demographics. Access to medical
notes was requested to permit data validation. Complexity of the patient
stated medication regimens was assessed using the Medication Regimen Complexity
Index (MRCI).2 The MRCI comprises three sections to account for dosage
forms (section A), dosing frequencies (section B) and additional directions
(section C). Each section is scored, with scores weighted depending on
the complexity; the complexity index is the sum of the three scores. HbA1c,
TC and BP were classified into 'satisfactory' and 'less satisfactory'
based on recommended targets.3 Data were analysed using SPSS (version
13.0). Factors associated with poor outcomes were identified using Student
t-test/Mann-Whitney U statistic.
Results
Responses were received from 194 (47.7%) patients, 11 of whom were
excluded (not meeting inclusion criteria/incomplete questionnaires). The
majority of respondents were male (n=99, 54.1%) and were over 60 years
(n=121, 66.1%). Patients were using a median of 5 prescribed medicines
(range1-15) requiring a median of eight tablets/ capsules to be taken
daily (range 1-27). Upon scoring each regimen using the MRCI, mean scores
(± SD) for various sections of the MRCI were: section A (dosage
forms) 1.5 ± 1.25; section B (dosing frequency) 7.8 ± 3.86;
section C (additional instructions) 6.1 ± 2.91; and total MRCI
score 15.4 ± 6.58. The lower scores achieved in section A of the
MRCI were due to most patients taking oral solid dosage forms; higher
scores in sections B and C were due to frequent dosing and medicines requiring
additional directions. The number of respondents with less satisfactory
HbA1c, TC and BP were 98, 107, and 86, respectively. 'Less satisfactory'
HbA1c values were associated with: higher MRCI total scores (p=0.001),
section B (p=0.001) and section C (p=0.03); greater number of total medications
(p=0.001); and age <60 years (0.004). Age <60 years was the only
predictor of 'less satisfactory' TC. Fewer number of total medications
(p=0.02) and age <70 years (p=0.002) were found to be associated with
'less satisfactory' BP.
Discussion
This study has highlighted the complex medication regimens and the
high variability of the MRCI scores in type 2 diabetic patients. Although
we have identified an association between complexity and disease control,
it may be the disease control which influences the medication regimen
and thus its complexity; these issues merit further investigation in larger
numbers of patients. Simplifying the prescribed medication regimen by
reducing dosing frequency will reduce the MRCI score and might enhance
outcomes. Further evaluation of the MRCI is warranted.
Acknowledgements: We acknowledge the input of
A Davie, L Juroszek and A Taylor
References
1. Rubin RR. Adherence to pharmacologic therapy in patients with type
2 diabetes mellitus. Am J Med 2005;118 Suppl 5A:27S-34S.
2. George J, Phun YT, Bailey MJ, Kong DC, Stewart K. Development and Validation
of the Medication Regimen Complexity Index. Ann Pharmacother 2004;38(9):1369-1376.
3. Recommendations for the provision of services in primary care for people
with diabetes. London: Diabetes UK, 2005.
Presented at the HSRPP Conference 2006, Bath
|