A New Data Resource to Examine Meals on Wheels Clients' Health Care Utilization and Costs.

BACKGROUND: Access to social services (eg, nutrition) can impact older adults' health care utilization and health outcomes. However, data documenting the relationship between receiving services and objective measures of health care utilization remain limited. OBJECTIVES: To link Meals on Wheels (MOW) program data to Medicare claims to enable examination of clients' health and health care utilization and to highlight the utility of this linked dataset. RESEARCH DESIGN: Using probabilistic linking techniques, we matched MOW client data to Medicare enrollment and claims data. Descriptive information is presented on clients' health and health care utilization before and after receiving services from MOW. SUBJECTS: In total, 29,501 clients were from 13 MOW programs. MEASURES: Clients' demographics, chronic conditions, and hospitalization, emergency department (ED), and nursing home (NH) utilization rates. RESULTS: We obtained a one-to-one link for 25,279 clients. Among these, 14,019 were Medicare fee-for-service (FFS) beneficiaries and met inclusion criteria for additional analyses. MOW clients had high rates of chronic conditions (eg, almost 90% of FFS clients were diagnosed with hypertension, compared with 63% of FFS beneficiaries in their communities). In the 6 months before receiving MOW services, 31.6% of clients were hospitalized, 24.9% were admitted to the ED and 13% received care in a NH. In the 6 months after receiving meals, 24.2% were hospitalized, 19.3% were admitted to the ED, and 9.5% received care in a NH. CONCLUSIONS: Linking MOW data to Medicare claims has the potential to shed additional light on the relationships among social services, health status, health care use, and benefits to clients' well-being.

Geriatric conditions and healthcare utilization among older adults living in subsidized housing.

BACKGROUND: Nearly 2.9 million older Americans with lower incomes live in subsidized housing. While regional and single-site studies show that this group has higher rates of healthcare utilization compared to older adults in the general community, little is known about healthcare utilization nationally nor associated risk factors. METHODS: We conducted a retrospective cohort study of Medicare beneficiaries aged ≥65 enrolled in the National Health and Aging Trends Study in 2011, linked to Medicare claims data, including individuals living in subsidized housing and the general community. Participants were followed annually through 2020. Outcomes were hospitalization, short-term skilled nursing facility (SNF) utilization, long-term care utilization, and death. Fine-Gray competing risks regression analysis was used to assess the association of subsidized housing residence with hospitalization and nursing facility utilization, and Cox proportional hazards regression analysis was used to assess the association with death. RESULTS: Among 6294 participants (3600 women, 2694 men; mean age, 75.5 years [SD, 7.0]), 295 lived in subsidized housing at baseline and 5999 in the general community. Compared to older adults in the general community, those in subsidized housing had a higher adjusted subdistribution hazard ratio [sHR] of hospitalization (sHR 1.21; 95% CI, 1.03-1.43), short-term SNF utilization (sHR 1.49; 95% CI, 1.15-1.92), and long-term care utilization (sHR 2.72; 95% CI, 1.67-4.43), but similar hazard of death (HR, 0.86; 95% CI, 0.69-1.08). Individuals with functional impairment had a higher adjusted subdistribution hazard of hospitalization and short-term SNF utilization and individuals with dementia and functional impairment had a higher hazard of long-term care utilization. CONCLUSIONS: Older adults living in subsidized housing have higher hazards of hospitalization and nursing facility utilization compared to those in the general community. Housing-based interventions to optimize aging in place and mitigate risk of nursing facility utilization should consider risk factors including functional impairment and dementia.

Accountable Care Organizations in the United States: market and demographic factors associated with formation.

BACKGROUND: The Accountable Care Organization (ACO) model is rapidly being implemented by Medicare, private payers, and states, but little is known about the scope of ACO implementation. OBJECTIVE: To determine the number of accountable care organizations in the United States, where they are located, and characteristics associated with ACO formation. STUDY DESIGN, METHODS, AND DATA: Cross-sectional study of all ACOs in the United States as of August 2012. We identified ACOs from multiple sources; documented service locations (practices, clinics, hospitals); and linked service locations to local areas, defined as Dartmouth Atlas hospital service areas. We used multivariate analysis to assess what characteristics were associated with local ACO presence. We examined demographic characteristics (2010 American Community Survey) and health care system characteristics (2010 Medicare fee-for-service claims data). PRINCIPAL FINDINGS: We identified 227 ACOs located in 27 percent of local areas. Fifty-five percent of the US population resides in these areas. HSA-level characteristics associated with ACO presence include higher performance on quality, higher Medicare per capita spending, fewer primary care physician groups, greater managed care penetration, lower poverty rates, and urban location. CONCLUSIONS: Much of the US population resides in areas where ACOs have been established. ACO formation has taken place where it may be easier to meet quality and cost targets. Wider adoption of the ACO model may require tailoring to local context.