| Literature DB >> 20546616 |
Julie A Schmittdiel1, Neil Steers, O Kenrik Duru, Susan L Ettner, Arleen F Brown, Vicki Fung, John Hsu, Elaine Quiter, Chien-Wen Tseng, Carol M Mangione.
Abstract
BACKGROUND: Little is known about drug cost communications of Medicare Part D beneficiaries with chronic conditions such as diabetes. The purpose of this study is to assess Medicare Part D beneficiaries with diabetes' levels of communication with physicians regarding prescription drug costs; the perceived importance of these communications; levels of prescription drug switching due to cost; and self-reported cost-related medication non-adherence.Entities:
Mesh:
Year: 2010 PMID: 20546616 PMCID: PMC2893177 DOI: 10.1186/1472-6963-10-164
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Demographics of the Study Sample (n = 1458)
| Mean (SD) or % | |
|---|---|
| Age | 75.0 (5.8) |
| 65-69 years old (n = 293) | 20% |
| 70-74 years old (n = 443) | 30% |
| 75-79 years old (n = 415) | 29% |
| 80-84 years old (n = 218) | 15% |
| 85 plus (n = 89) | 6% |
| Race/Ethnicity | |
| White (n = 982) | 74% |
| Latino (n = 212) | 16% |
| Asian/Pacific Islander (n = 43) | 3% |
| African American (n = 57) | 4% |
| Other (n = 39) | 3% |
| Female Gender (n = 793) | 54% |
| Education | |
| < High School (n = 269) | 19% |
| High school graduate/some college (n = 822) | 60% |
| 4+ years college (n = 284) | 21% |
| Annual Income | |
| < $25 K (n = 491) | 41% |
| $25-40 K (n = 283) | 24% |
| > $40 K (n = 418) | 35% |
| Health Plan | |
| Integrated Delivery System MAPD (n = 509) | 35% |
| For-Profit MAPD (n = 772) | 53% |
| For-Profit PDP (n = 177) | 12% |
| Health Status | |
| Excellent/Very Good (n = 188) | 14% |
| Good (n = 454) | 33% |
| Fair/Poor (n = 741) | 53% |
| Comorbidity score (mean +/- SD) (range = 0-14) | 4.9 (2.3) |
| Number of medications in 2006 | 14.4 (5.3) |
| Out-of-pocket med costs in Q1 2006 | $359 (262) |
| Mean % of meds that are generic in Q1 2006 | 66 (21) |
Patient-Provider Communication Regarding Drug Costs
| Patient/Plan Characteristics | Thought issue of drug costs important enough to raise with MD (% strongly agree/agree) | Wants MD to consider cost when choosing drugs (% yes) | Talked with MD about amount paid for drugs (% yes) | MD switched any drug to a less expensive version because of cost (% yes) | Used any drug less often than prescribed because of cost (% yes) |
|---|---|---|---|---|---|
| Overall Sample (n = 1458) | 76% | 80% | 44% | 47% | 22% |
| Adjusted Percents+ | |||||
| Female | 78% | 84%* | 47% | 51% | 25%* |
| Male++ | 74% | 78% | 43% | 44% | 20% |
| White++ | 76% | 81% | 48% | 49% | 23% |
| Non-White | 77% | 80% | 37%*** | 43% | 23% |
| Age 65-74 | 81%*** | 83% | 50%** | 45% | 29%*** |
| Age 75++ | 70% | 79% | 41% | 51% | 16% |
| Income < $25 K | 80%* | 82% | 51%*** | 47% | 27%*** |
| Income $25-40 K | 78% | 84% | 49%*** | 57%* | 24%*** |
| Income > $40 K++ | 72% | 78% | 37% | 41% | 17% |
| Integrated Delivery System MAPD++ | 66% | 77% | 36% | 33% | 21% |
| For-Profit MAPD | 81%*** | 84%* | 50%*** | 53%*** | 24% |
| For-Profit PDP | 79%* | 81% | 51%** | 57%** | 26% |
*p < .05, ** p < .01, *** p < .001
+ From models adjusted for age, gender, income, education, comorbidities, race/ethnicity, difference between total and OOP costs in first quarter (Q1) of 2006, % generic medications in Q1 of 2006, and month of gap entry.
++Referent Group.