Medicare Star excludes diabetes patients with poor CVD risk factor control
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Published on: June 11, 2012
Julie Schmittdiel1, Marsha Raebel, Wendy Dyer
1Kaiser Permanente, 2000 Broadway, Oakland, CA 94612.
Insights
Medicare Star quality measures for diabetes medication adherence exclude many patients, including those with early nonadherence or insulin use. These exclusions mask high-risk individuals and underestimate nonadherence, impacting cardiovascular disease (CVD) risk factor control.
Area of Science:
- Health Services Research
- Quality Improvement
- Cardiovascular Disease Management
Background:
- Medicare Star quality measures now include medication adherence for diabetes, hypertension, and hyperlipidemia.
- These measures exclude patients with fewer than two medication fills (early nonadherence) and those using insulin.
- This exclusion criteria may impact the accurate assessment of cardiovascular disease (CVD) risk factor control in patients with diabetes.
Purpose of the Study:
- To determine the proportion of diabetic patients prescribed cardiovascular medications who are excluded from Medicare Star adherence measures.
- To evaluate the association between adherence (as defined by Star metrics) and exclusion from these metrics with CVD risk factor control.
Main Methods:
- A cross-sectional, population-based analysis was conducted on 129,040 patients with diabetes aged 65 years or older.
- Data were sourced from three Kaiser Permanente regions in 2010.
- Adjusted risk ratios were calculated to assess the relationship between Star adherence, exclusion from Star metrics, and control of glycated hemoglobin (A1C), low-density lipoprotein cholesterol (LDL-C), and systolic blood pressure (SBP).
Main Results:
- Twenty-seven percent of diabetic patients on oral medications were excluded from Star metrics.
- Star-defined nonadherence was linked to poorer control of A1C, LDL-C, and SBP.
- Exclusion due to early nonadherence or insulin use was strongly associated with poor control of A1C, LDL-C, and SBP.
Conclusions:
- Medicare Star adherence measures may underestimate medication nonadherence prevalence in diabetes.
- These measures exclude a significant number of elderly patients with diabetes who are at high risk for poor CVD outcomes.
- Future quality measures should encompass all patients treated for CVD risk to ensure comprehensive care and accurate assessment.
Objectives:
CMS recently added medication adherence to antihypertensives, antihyperlipidemics, and oral antihyperglycemics to its Medicare Star quality measures. These CMS metrics exclude patients with <2 medication fills (ie, "early nonadherence") and patients concurrently taking insulin. This study examined the proportion of patients with diabetes prescribed cardiovascular disease (CVD) medications excluded from Star adherence metrics and assessed the relationship of both Star-defined adherence and exclusion from Star metrics with CVD risk factor control.
Study Design:
Cross-sectional, population-based analysis of 129,040 patients with diabetes aged ≥65 years in 2010 from 3 Kaiser Permanente regions.
Methods:
We estimated adjusted risk ratios to assess the relationship between achieving Star adherence and being excluded from Star adherence metrics, with CVD risk factor control (glycated hemoglobin [A1C]<8.0%, low-density lipoprotein cholesterol [LDL-C]<100 mg/dL, and systolic blood pressure [SBP]<130 mm Hg) in patients with diabetes.
Results:
Star metrics excluded 27% of patients with diabetes prescribed oral medications. Star-defined nonadherence was negatively associated with CVD risk factor control (risk ratio [RR], 0.95, 0.84, 0.96 for A1C, LDL-C, and SBP control, respectively; P<.001). Exclusion from Star metrics due to early nonadherence was also strongly associated with poor control (RR, 0.83, 0.56, 0.87 for A1C, LDL-C, and SBP control, respectively; P<.001). Exclusion for insulin use was negatively associated with A1C control (RR, 0.78; P<.0001).
Conclusions:
Medicare Star adherence measures underestimate the prevalence of medication nonadherence in diabetes and exclude patients at high risk for poor CVD outcomes. Up to 3 million elderly patients with diabetes may be excluded from these measures nationally. Quality measures designed to encourage effective medication use should focus on all patients treated for CVD risk.
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