Validation of the Standardized Function Data Elements among Medicare Skilled Nursing Facility Residents.

OBJECTIVE: To examine the distribution of admission and discharge functional abilities among Medicare fee-for-service beneficiaries with a skilled nursing facility (SNF) stay. Further, to assess the validity of the standardized discharge self-care and mobility data by examining their association to community discharge. DESIGN: Observational study of SNF Medicare fee-for-service residents' self-care and mobility scores at admission and discharge. SETTING AND PARTICIPANTS: Medicare beneficiaries with Medicare Part A SNF stays in 2017 from 15,127 Medicare-certified SNFs. METHODS: We calculated self-care and mobility score frequencies and percentages at admission and discharge to describe the functional abilities of SNF residents; we examined discharge scores by percentage discharge to the community to evaluate item construct validity. RESULTS: Between admission and discharge, SNF resident scores showed overall improvements in function for all self-care and most mobility activities. For example, between admission and discharge the percentage of residents independent with toileting hygiene and sit to lying increased from 3.7% and 8.2%, to 25.3% and 32.7%, respectively. For all but 2 data elements, residents with lower functional abilities had a lower percentage of being discharged into the community, and the percentage of residents discharged into the community increased as residents performed functional activities of self-care and mobility at higher score ratings. There was a consistent monotonic relationship between residents' discharge self-care and mobility scores and community discharge rates for all but 2 data elements. CONCLUSIONS AND IMPLICATIONS: Our study found measurable improvements for each self-care and mobility function item for SNF Medicare Part A resident stays in 2017. The results also demonstrated a positive association between higher discharge self-care and mobility scores and higher discharge to community rates. These findings support the validity of the data elements in measuring functional abilities among SNF Medicare Part A residents.

A Postacute Care Function Process Quality Measure for the Collection of Standardized Self-Care and Mobility Data: Development, Implementation, and Quality Measure Scores.

OBJECTIVE: To describe the development of and quality measure scores for the cross-setting postacute care function process quality measure that requires the collection of standardized self-care and mobility data at admission and discharge and at least 1 function goal. DESIGN: Description of the development and implementation of the quality measure and the associated standardized self-care and mobility data elements. Descriptive analyses of quality measure scores for the first calendar year using data from the Minimum Data Set, the Inpatient Rehabilitation Facility Patient Assessment Instrument, the Long-Term Care Hospitals (LTCH) Continuity Assessment Record and Evaluation Data Set, and Outcome and Assessment Information Set. SETTING: 15,127 skilled nursing facilities (SNFs), 1129 inpatient rehabilitation facilities (IRFs), 414 LTCHs, and 10,352 home health agencies (HHAs) in the United States. PARTICIPANTS: In total there were 9,216,943 stays/quality episodes (N = 9,216,943), including 2,084,774 SNF Medicare fee-for-service patient stays, 493,209 IRF Medicare patient stays, 161,714 patient stays, and 6,477,246 Medicare and Medicaid quality episodes. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Scores for the cross-setting postacute care function process quality measure. RESULTS: The mean process quality measure scores for SNFs, IRFs, LTCHs, and HHAs were 95.5%, 99.7%, 99.1%, and 95.8, respectively. The 10th percentile scores for SNFs, IRFs, LTCHs, and HHAs were 88.5%, 99.3%, 98.4%, and 89.4, respectively, indicating that at least 90% of postacute care providers submitted the standardized data for a large proportion of their patients. Mean quality measure scores did not vary by provider characteristics. CONCLUSIONS: Most SNFs, IRFs, LTCHs, and HHAs submitted the self-care and mobility data, resulting in high quality measure scores during the first year of implementation. The availability of the standardized self-care and mobility data across postacute care settings offers the opportunity to compare the characteristics and functional outcomes of patients treated in postacute care.

Trends in the Use of Residential Settings Among Older Adults.

OBJECTIVES: As the U.S. population ages, the prevalence of disability and functional limitations, and demand for long-term services and supports (LTSS), will increase. This study identified the distribution of older adults across different residential settings, and how their health characteristics have changed over time. METHODS: A cross-sectional analysis of older adults residing in traditional housing, community-based residential facilities (CBRFs), and nursing facilities using 3 data sources: the Medicare Current Beneficiary Survey (MCBS), 2008 and 2013; the Health and Retirement Study (HRS), 2008 and 2014; and the National Health and Aging Trends Study, 2011 and 2015. We calculated the age-standardized prevalence of older adults by setting, functional limitations, and comorbidities and tested for health characteristics changes relative to the baseline year (2002). RESULTS: The proportion of older adults in traditional housing increased over time, relative to baseline (p < .05), while the proportion of older adults in CBRFs was unchanged. The proportion of nursing facility residents declined from 2002 to 2013 in the MCBS (p < .05). The prevalence of dementia and functional limitations among traditional housing residents increased, relative to the baseline year in the HRS and MCBS (p < .05). DISCUSSION: The proportion of older adults residing in traditional housing is increasing, while the nursing facility population is decreasing. This change may not be due to better health; rather, older adults may be relying on noninstitutional LTSS.

Early impact of the implementation of Medicaid episode-based payment reforms in Arkansas.

OBJECTIVE: To evaluate episode-based payments for upper respiratory tract infections (URI) and perinatal care in Arkansas's Medicaid population. STUDY SETTING: Upper respiratory infection and perinatal episodes among Medicaid-covered individuals in Arkansas and comparison states from fiscal year (FY) 2011 to 2014. STUDY DESIGN: Cross-sectional observational analysis using a difference-in-difference design to examine outcomes associated with URI and perinatal episodes of care (EOC) from 2011 to 2014. Key dependent variables include antibiotic use, emergency department visits, physician visits, hospitalizations, readmission, and preventive screenings. DATA COLLECTION: Claims data from the Medicaid Analytic Extract for Arkansas, Mississippi, and Missouri from 2010 to 2014 with supplemental county-level data from the Area Health Resource File (AHRF). PRINCIPAL FINDINGS: The URI EOC reduced the probability of antibiotic use (marginal effect [ME] = -1.8, 90% CI: -2.2, -1.4), physician visits (ME = 0.6, 90% CI: -0.8, -0.4), improved the probability of strep tests for children diagnosed with pharyngitis (ME = 9.4, 90% CI: 8.5, 10.3), but also increased the probability of an emergency department (ED) visit (ME = 0.1, 90% CI: 0.1, 0.2), relative to the comparison group. For perinatal EOCs, we found a reduced probability of an ED visit during pregnancy (ME = 0.1, 90% CI: -0.2, -0.0), an increased probability of screening for HIV (ME = 6.2, 90% CI: 4.0, 8.5), chlamydia (ME = 9.5, 90% CI: 7.2, 11.8), and group B strep-test (ME = 2.6, 90% CI: 0.5, 4.6), relative to the comparison group. Predelivery and postpartum hospitalizations also increased (ME = 1.2, 90% CI: 0.4, 2.0; ME = 0.4, 90% CI: 0.0, 0.8, respectively), relative to the comparison group. CONCLUSION: Upper respiratory infection and perinatal EOCs for Arkansas Medicaid beneficiaries produced mixed results. Aligning shared savings with quality metrics and cost-thresholds may help achieve quality targets and disincentivize over utilization within the EOC, but may also have unintended consequences.