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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.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.15,127 skilled nursing facilities (SNFs), 1129 inpatient rehabilitation facilities (IRFs), 414 LTCHs, and 10,352 home health agencies (HHAs) in the United States.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.Not applicable.Scores for the cross-setting postacute care function process quality measure.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.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.

To describe the development, implementation and reliability and validity testing of the inpatient rehabilitation facility (IRF) Change in Self-Care and Change in Mobility quality measures.We describe the activities involved in developing and implementing the 2 facility-level quality measures, including public comment opportunities. We examined facility-level reliability using split-half testing and Pearson product-moment correlations, Spearman rank correlations, and intraclass correlation coefficients (ICCAll 1117 IRFs in the United States with at least 20 Medicare stays that ended in 2017.Facility-level quality measure scores (N=1117) were derived from data from 427,517 (self-care) and 427,956 (mobility) Medicare fee-for-service and Medicare Advantage IRF patient stays in 2017.Not applicable.Facility-level Change in Self-Care and Change in Mobility quality measure scores and facility Disease-Specific Certification for Stroke Rehabilitation from The Joint Commission were used in validity analysis.The split-half quality measure scores showed strong, positive correlations for the facility-level self-care (Pearson=0.903, Spearman=0.884, ICC=0.903, P.0001) and mobility (Pearson=0.903, Spearman=0.884, ICC= 0.903, P.0001) quality measure scores, providing evidence of reliability. ICCs remained strong when stratifying by provider volume. IRFs with stroke certification had slightly higher mean and median quality measure scores than IRFs without certification, and IRFs with the higher quality measure scores tended to have a higher percentage of certified IRFs.Our analyses support the reliability and validity of the Change in Self-Care and Change in Mobility quality measure scores in IRFs.

To describe the exclusion criteria and updated risk adjustment model developed for the Change in Mobility quality measure in the inpatient rehabilitation facility (IRF) quality reporting program. Facility-level quality measures focused on patient outcomes usually require risk adjustment to account for varied admission characteristics of patients across facilities.This cohort study analyzed admission demographic and clinical factors associated with mobility change scores using the Inpatient Rehabilitation Facility Patient Assessment Instrument (IRF-PAI) data for Medicare patients discharged from IRFs in calendar year 2017.A total of 1129 IRFs in the United States.A total of 493,209 (N=493, 209) Medicare fee-for-service and Medicare Advantage IRF patient stays discharged in calendar year 2017.Not applicable.Mobility change scores using admission and discharge standardized assessment data from the IRF-PAI.Approximately 53% of patients in the study were female, 67% were aged 65-84 years, and nearly 80% were White. In the final risk adjustment model, 105 covariates were included, explaining 20% of variance in mobility change scores. Key risk adjusters included IRF primary diagnosis group, prior indoor ambulation functioning, age older than 90 years, and 14 of the comorbidities. The model showed good calibration across the range of deciles of predicted IRF mobility change scores; the ratio of the average expected to observed change scores ranged from 0.93-1.03, with all but 1 within ±0.03.The updated risk adjustment model uses IRF patients' demographic and clinical characteristics to predict their mobility change scores. The exclusion criteria and resulting risk model are used to calculate the risk adjusted Change in Mobility quality measure scores, enabling comparisons of Change in Mobility scores across IRFs.