| Literature DB >> 18852334 |
James E Aikens1, John D Piette.
Abstract
OBJECTIVE: The purpose of this study was to determine how patients' beliefs about antihyperglycemic and antihypertensive medications relate to medication underuse and health status. RESEARCH DESIGN AND METHODS: In diabetic patients from an economically distressed region, we assessed perceived necessity and harmfulness for antihyperglycemic (n = 803) and antihypertensive (n = 573) medications, past year's medication underuse, A1C, systolic blood pressure (SBP), and diastolic blood pressure (DBP).Entities:
Mesh:
Substances:
Year: 2008 PMID: 18852334 PMCID: PMC2606823 DOI: 10.2337/dc08-1533
Source DB: PubMed Journal: Diabetes Care ISSN: 0149-5992 Impact factor: 17.152
Sample characteristics
| Medication prescribed | ||
|---|---|---|
| Antihyperglycemic | Antihyperglycemic plus antihypertensive | |
| n | 803 | 573 |
| Age (years) | 55.3 + 11.8 | 57.2 ± 10.7 |
| Sex (% male) | 38.4 | 31.7 |
| African American | 58.3 | 61.9 |
| Level of education (%) | ||
| <12 years | 21.6 | 22.8 |
| 12 years (high school degree) | 35.7 | 36.6 |
| >12 years | 42.7 | 40.6 |
| Household income bracket (%) | ||
| $0–$10,000 | 30.2 | 32.5 |
| $11,000–$20,000 | 23.7 | 24.4 |
| $21,000–$30,000 | 7.4 | 6.9 |
| $31,000–$60,000 | 20.2 | 19.6 |
| >$60,000 | 18.5 | 17.0 |
| No. of medical conditions | 2.7 ± 1.9 | 3.0 ± 1.9 |
| No. of prescription medications | 4.3 ± 1.2 | 4.6 ± 1.0 |
| Prescribed insulin (%) | 39.9 | 41.8 |
| A1C | 7.8 ± 2.0 | 7.7 ± 2.0 |
| SBP (mmHg) | 139.2 ± 21.2 | 142.0 ± 22.5 |
| DBP (mmHg) | 83.1 ± 12.0 | 83.7 ± 12.8 |
| Low health literacy (%) | 37.2 | 39.5 |
| Has a primary care provider (%) | 75.1 | 73.0 |
| Prior diabetes education (%) | 60.2 | 59.8 |
| Medication beliefs | ||
| Necessity | 3.8 ± 0.6 | 3.7 ± 0.6 |
| Concerns | 2.8 ± 0.7 | 2.7 ± 0.6 |
Data are mean ± SD or %.
Bivariate associations between patient characteristics and medication beliefs
| Medication beliefs | ||||
|---|---|---|---|---|
| Antihyperglycemic | Antihyperglycemic | |||
| Necessity | Concerns | Necessity | Concerns | |
| 803 | 573 | |||
| Age (years) | −0.11 | −0.18 | −0.09 | −0.16 |
| Sex (male) | −0.03 | −0.07 | −0.11 | 0.02 |
| Ethnic minority | −0.04 | 0.11 | 0.00 | 0.09 |
| Level of education | −0.02 | 0.01 | −0.07 | 0.02 |
| Household income bracket | −0.08 | −0.09 | −0.05 | −0.14 |
| Number of prescription medications | 0.22 | 0.05 | 0.18 | 0.004 |
| Prescribed insulin | 0.28 | 0.06 | 0.05 | −0.03 |
| Number of medical conditions | 0.21 | 0.12 | 0.18 | 0.07 |
| Satisfaction with medication information | 0.03 | −0.16 | 0.10 | −0.17 |
| Low functional health literacy | 0.01 | 0.14 | 0.03 | 0.23 |
| Out-of-pocket prescription costs >$50/month | 0.08 | 0.05 | 0.08 | −0.03 |
Cell entries represent Spearman's ρ values.
P < 0.05;
P < 0.01;
P < 0.005.
Multivariate associations between beliefs, adherence, and health status
| Independent variables predicting medication beliefs | Medication beliefs (as dependent variables) | |||
|---|---|---|---|---|
| Antihyperglycemic | Antihypertensive | |||
| Necessity | Concerns | Necessity | Concerns | |
| 803 | 573 | |||
| Age (years) | −0.12 | −0.17 | −0.08 | −0.17 |
| Sex (male) | −0.02 | −0.05 | −0.10 | 0.05 |
| Ethnic minority | −0.03 | 0.12 | 0.03 | 0.09 |
| Household income bracket | −0.08 | −0.05 | −0.04 | −0.07 |
| Number of prescription medications | 0.12 | −0.02 | 0.07 | −0.06 |
| Whether prescribed insulin | 0.23 | 0.03 | −0.06 | −0.04 |
| No. of medical conditions | 0.09 | 0.11 | 0.14 | 0.08 |
| Satisfaction with medication information | 0.05 | −0.15 | 0.11 | −0.14 |
| Low functional health literacy | −0.02 | 0.12 | 0.01 | 0.22 |
| Out-of-pocket prescription costs >$50/month | 0.05 | 0.09 | 0.07 | 0.04 |
P < 0.05 (NS with Bonferroni correction).
P < 0.01.
P < 0.005.
Each column represents a separate ordinary least-squares regression model, with dependent variables listed as column headers and independent variables listed in rows. Cell entries represent standardized regression coefficients.
Cell entries are odds ratios (P value) of adjusted association between medication beliefs (independent variable, in columns) and underuse of the corresponding medication (dependent variable, in rows), with the second type of underuse as the reference group.
All models adjusted for age, sex, ethnic minority status, household income, number of prescription medications, insulin use, number of comorbid conditions, out-of-pocket prescription costs, and FHL.
Cell entries are standardized β coefficients (P value) of adjusted association between medication beliefs and the medical outcome variable.
Figure 1Concern ratings by medication and type of underuse.