Access to care and satisfaction with care among fee-for-service Medicare beneficiaries by level of care need

BackgroundVariation among fee-for-service (FFS) Medicare beneficiaries by level of care need for access to care and satisfaction with care is unknown.ObjectiveWe examined access to care and satisfaction with care among FFS Medicare beneficiaries by level of care need.MethodsWe employed a cross-sectional study design. Using the Medicare Current Beneficiary Survey, we categorized 17,967 FFS Medicare beneficiaries into six groups based on level of care need: the relatively healthy (11.0%), those with simple chronic conditions (26.1%), those with minor complex chronic conditions (28.6%), those with major complex chronic conditions (14.2%), the frail (6.2%), and the non-elderly disabled or end-stage renal disease (ESRD) (13.9%). Outcome measures included multiple indicators for access to care and satisfaction with care. For each outcome, we conducted a linear probability model while adjusting for individual-level and county-level characteristics and estimated the adjusted value of the outcome by level of care need.ResultsThe non-elderly disabled or ESRD were more likely to experience limited access to care and poor satisfaction with care than other five care need groups. Particularly, the rates of reporting trouble accessing needed medical care were the highest among the non-elderly disabled or ESRD (12.4% [95% CI: 9.6–15.3] vs. 2.1 [95% CI: 1.5–2.8] to 2.5 [95% CI: 1.6–3.5]). The leading reason for trouble accessing needed care among the non-elderly disabled or ESRD was attributable to affordability (59.6%).ConclusionsPolicymakers need to develop targeted approaches to improve access to care and satisfaction with care for the non-elderly with a disability or ESRD.     

The complexity of disease combinations in the Medicare population

Developing systems of care that address the mortality, morbidity, and expenditures associated with Medicare beneficiaries with multiple diseases would benefit from a greater understanding of the complexity of disease combinations (DCs) found in the Medicare population. To develop estimates of the number of DCs, we performed an observational analysis on 32,220,634 beneficiaries in the Medicare Fee-for-Service claims database based on a set of records containing each beneficiary's Part A and B International Classification of Diseases, 9(th) Revision, Clinical Modification (ICD-9-CM) claims data for the year of 2008. We made 2 simplifying adjustments. First, we mapped the individual ICD-9-CM codes to the Centers for Medicare and Medicaid Services-Hierarchical Conditions Categories (HCC) model that was developed in 2004 to risk adjust capitation payments to private health care plans based on the health expenditure risk of their enrollees. Second, we aggregated beneficiaries with identical HCCs regardless of the temporal order of these findings within the 2008 claims year; thus the DC to which they are assigned represents the summation of their 2008 claims data. We defined 3 distinct populations at the HCC level. The first consisted of 35% of the beneficiaries who did not fall into any HCC category and accounted for 6% of expenditures. The second was represented by the 100 next most prevalent DCs that accounted for 33% of the beneficiaries and 15% of expenditures. The final population, accounting for 32% of the beneficiaries and 79% of expenses, was complex and consisted of over 2 million DCs. Our results indicate that the majority of expenditures are associated with a complex set of beneficiaries.