Trends in the Characteristics and Outcomes of Older Medicare Patients With Traumatic Brain Injury Treated in Inpatient Rehabilitation Facilities: 2013 to 2018.

OBJECTIVE: To describe the characteristics and outcomes of older (65+) Medicare beneficiaries with traumatic brain injury (TBI) treated in inpatient rehabilitation facilities between 2013 and 2018. DESIGN: Descriptive study using IRF Patient Assessment Instrument (IRF-PAI) data reporting trends of the sociodemographic and clinical characteristics and outcomes of inpatient rehabilitation facilities Medicare patients with TBI. SETTING: Inpatient rehabilitation facilities in the United States. PARTICIPANTS: 99,804 older Medicare fee-for-service and Medicare Advantage patients with TBI (N=99,804). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Length of stay, self-care, and mobility functional outcomes, discharge destination. RESULTS: The number of older Medicare beneficiaries with TBI treated in inpatient rehabilitation facilities increased from 14,657 in 2013 to 18,791 in 2018, an increase of 28.2%. In addition to this overall increase in patients, we also found the percentage of men increased slightly (52.9% to 54.8%), there was a higher percentage of patients with tier 3 comorbidities, there was a decrease in the variability of length of stay, there was slightly more self-care and mobility improvement and a slightly higher percentage of patients discharged to the community (67.8% in 2013 and 71.6% in 2018). Newer standardized data showed that prior to the injury, more than one-third used a walker and more than three-quarters had a history of recent falls. CONCLUSIONS: Between 2013 and 2018, the number of Medicare beneficiaries with TBI treated in IRFs increased by approximately 28%. The characteristics of IRF older patients with TBI changed between 2013 and 2018 toward a slightly higher proportion of men, more comorbidities, and a higher percentage being discharged home after inpatient rehabilitation.

Cross-setting Comparison of Risk Factors for Pressure Injuries Acquired in Post-Acute Care.

GENERAL PURPOSE: To provide information on the association between risk factors and the development of new or worsened stage 2 to 4 pressure injuries (PIs) in patients in long-term care hospitals (LTCHs), inpatient rehabilitation facilities (IRFs), and skilled nursing facilities (SNFs). TARGET AUDIENCE: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant will:1. Compare the unadjusted PI incidence in SNF, IRF, and LTCH populations.2. Explain the extent to which the clinical risk factors of functional limitation (bed mobility), bowel incontinence, diabetes/peripheral vascular disease/peripheral arterial disease, and low body mass index are associated with new or worsened stage 2 to 4 PIs across the SNF, IRF, and LTCH populations.3. Compare the incidence of new or worsened stage 2 to 4 PI development in SNF, IRF, and LTCH populations associated with high body mass index, urinary incontinence, dual urinary and bowel incontinence, and advanced age.

To compare the incidence of new or worsened pressure injuries (PIs) and associated risk factors for their development in inpatient post-acute care settings: long-term care hospitals (LTCHs), inpatient rehabilitation facilities (IRFs), and skilled nursing facilities (SNFs). The authors investigated Medicare Part A SNF resident stays and LTCH patient stays that ended between October 1, 2016 and December 31, 2016 and IRF patient stays that ended between October 1, 2016 and March 31, 2017. They calculated the incidence of new or worsened PIs using the specifications of the National Quality Forum-endorsed PI quality measure #0678: Percent of Residents or Patients with Pressure Ulcers that are New or Worsened . The incidences of new or worsened stages 2 through 4 PIs varied across settings: 1.23% in SNFs, 1.56% in IRFs, and 3.07% in LTCHs. Seven risk factors were positively and consistently associated with new or worsened PIs across settings: limited bed mobility, bowel incontinence, low body mass index, diabetes/peripheral vascular disease/peripheral arterial disease, advanced age, urinary incontinence, and dual urinary and bowel incontinence. These findings provide empirical support for the alignment of risk factors for the PI quality measures across post-acute care settings.

Change in Mobility Quality Measure for Inpatient Rehabilitation Facilities: Exclusion Criteria and the Risk Adjustment Model.

OBJECTIVE: 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. DESIGN: 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. SETTING: A total of 1129 IRFs in the United States. PARTICIPANTS: A total of 493,209 (N=493, 209) Medicare fee-for-service and Medicare Advantage IRF patient stays discharged in calendar year 2017. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Mobility change scores using admission and discharge standardized assessment data from the IRF-PAI. RESULTS: 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. CONCLUSIONS: 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.

Change in Self-Care Quality Measure for Inpatient Rehabilitation Facilities: Exclusion Criteria and Risk-Adjustment Model.

OBJECTIVE: To describe the exclusion criteria and risk-adjustment model developed for the quality measure Change in Self-Care. The exclusion criteria and risk adjustment model are used to calculate Change in Self-Care scores, allowing scores to be compared across inpatient rehabilitation facilities (IRFs). DESIGN: This national cohort study examined admission demographic and clinical factors associated with IRF patients' self-care change scores using standardized self-care data for Medicare patients discharged in calendar year 2017. SETTING: A total of 1129 IRFs in the United States. PARTICIPANTS: A total of 493,209 (N=493,209) Medicare Fee-for-Service and Medicare Advantage IRF patient stays INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Self-care change scores using admission and discharge standardized assessment data elements from the Inpatient Rehabilitation Facility-Patient Assessment Instrument. RESULTS: Approximately 53% of patients were female, and 67% were between 65 and 84 years old. The final risk-adjustment model contained 93 clinically relevant risk adjusters and explained 23.1% of variance in self-care change scores. Risk adjusters that had the greatest effect on change scores and included IRF primary diagnosis group (ie, binary risk adjusters representing 13 diagnoses), prior self-care functioning, and age older than 90 years. When split by deciles of expected scores, the ratio of the average expected and observed change scores was within 2% of 1.0 across 8 groups and within 8% at the extremes, showing good predictive accuracy. CONCLUSIONS: The risk adjustment model quantifies the relationship between IRF patients' demographic and clinical characteristics and their self-care score changes. The exclusion criteria and model are used to risk-adjust the IRF Change in Self-Care quality measure.

Inpatient Rehabilitation Facility Patients' Functional Abilities and Validity Testing of the Standardized Self-Care and Mobility Data Elements.

OBJECTIVE: To describe the abilities of Medicare patients in inpatient rehabilitation facilities (IRFs) at admission and discharge using the standardized self-care and mobility data elements and examine the validity of the data elements. These data are used in the Center for Medicare & Medicaid's IRF payment and quality reporting programs. DESIGN: Descriptive study reporting IRF patients' self-care and mobility scores. We also examined content validity and the associations between admission scores and length of stay (LOS), discharge scores and discharge destination, and change scores and the number of comorbidities. SETTING: Patients discharged from 1129 IRFs in 2017. PARTICIPANTS: IRF Medicare fee-for-service and Medicare Advantage patient stays (N = 493,209). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE(S): Self-care and mobility item scores, IRF LOS, discharge destination, and categories of the number of comorbidities. RESULTS: For each self-care and mobility activity, patients in IRFs overall made substantial improvements in function between admission and discharge. For example, the percentage of patients independent with eating and toilet transfers increased from 29.04% to 66.68% and 0.80% to 39.87%, respectively, between admission and discharge. Activities represented in the standardized data elements are included in other functional assessment instruments addressing content validity. Analyses showed a monotonic relationship between admission scores and LOS and between discharge scores and discharge to community percentages with only a few exceptions. Self-care and mobility scale change scores decreased as the number of comorbidities increased across categories. CONCLUSIONS: Patients in IRFs overall show functional improvement across each of the activities as defined by the standardized self-care and mobility data elements. The results showing the associations between patient functioning and 3 metrics (LOS, discharge to community rates, and number of comorbidities) support the validity of the data elements measuring functional abilities in the IRF Medicare population.

Inpatient Rehabilitation Facility Change in Self-Care and Change in Mobility Quality Measures: Development and Reliability and Validity Testing.

OBJECTIVE: 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. DESIGN: 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 (ICC2,1). We examined validity by comparing facility-level quality measure scores and facility disease-specific certification status. SETTING: All 1117 IRFs in the United States with at least 20 Medicare stays that ended in 2017. PARTICIPANTS: 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. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: 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. RESULTS: 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. CONCLUSIONS: Our analyses support the reliability and validity of the Change in Self-Care and Change in Mobility quality measure scores in IRFs.

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.

PROMIS Global Health: Feasibility in home health.

PURPOSE: This feasibility study assessed if the Patient-Reported Outcomes Measurement Information System (PROMIS®) 10-item Global Health Survey (PROMIS-10) could be a reliable and valid patient-reported outcome measure (PROM) for a population of cognitively intact home health (HH) patients. METHODS: The Centers for Medicare and Medicaid Services (CMS) along with their measurement contractor, Abt Associates, held a field test (2016-2017) to test the feasibility of the PROMIS-10 in in the Outcome and Assessment Information Set (OASIS). Home Health clinician data collectors (registered nurses and physical therapists) were trained to complete the PROMIS-10 along with procedures to facilitate patient self-administration of PROMIS-10. These clinicians provided feedback about their experiences at a focus group at the end of data collection. RESULTS: 213 HH patients comprised the field test sample, 150 of whom completed PROMIS-10 surveys. Clinicians reported they found the PROMIS-10 relevant and acceptable for their HH patients, and noted the surveys provided insight into patients' views of their health. The PROMIS-10 measured the full range of patient-reported health and was sensitive to change between admission and discharge. CONCLUSIONS: The study confirmed that the PROMIS-10 can be implemented in the HH setting, opening the door for consideration for implementing the PROMIS-10 in post-acute care (PAC) settings. This study is a first step toward establishing an assessment that captures the patient's voice and could be reported by the CMS PAC quality reporting programs.

Opioid Prescribing and Opioid Risk Mitigation Strategies in the Veterans Health Administration.

INTRODUCTION: The Veterans Health Administration (VHA) has taken a multifaceted approach to addressing opioid safety and promoting system-wide opioid stewardship. AIM: To provide a comprehensive evaluation of current opioid prescribing practices and implementation of risk mitigation strategies in VHA. SETTING: VHA is the largest integrated health care system in the United States. PROGRAM DESCRIPTION: VHA prescribing data in conjunction with implementation of opioid risk mitigation strategies are routinely tracked and reviewed by VHA's Pharmacy Benefits Management Services (including Academic Detailing Service) and the Pain Management Program Office. Additional data are derived from the Partnered Evidence-Based Policy Resource Center (PEPReC) and from a 2019 survey of interdisciplinary pain management teams at VHA facilities. Prescribing data are reported quarterly until first quarter fiscal year 2020 (Q1FY2020), ending December 31, 2019. PROGRAM EVALUATION: VHA opioid dispensing peaked in 2012 with 679,376 Veterans receiving an opioid prescription, and when including tramadol, in 2013 with 869,956 Veterans. Since 2012, the number of Veterans dispensed an opioid decreased 56% and co-prescribed opioid/benzodiazepine decreased 83%. Veterans with high-dose opioids (≥ 100 mg morphine equivalent daily dose) decreased 77%. In Q1FY2020, among Veterans on long-term opioid therapy (LTOT), 91.1% had written informed consent, 90.8% had a urine drug screen, and 89.0% had a prescription drug monitoring program query. Naloxone was issued to 217,469 Veterans and resulted in > 1,000 documented overdose reversals. In 2019, interdisciplinary pain management teams were fully designated at 68%, partially designated at 28%, and not available at 4% of 140 VA parent facilities. Fifty percent of Veterans on opioids at very high risk for overdose/suicide received interdisciplinary team reviews. IMPLICATIONS: VHA clinicians have greatly reduced their volume of opioid prescribing for pain management and expanded implementation of opioid risk mitigation strategies. IMPACTS: VHA's integrated health care system provides a model for opioid stewardship and interdisciplinary pain care.

Examining Social Risk Factors in a Pressure Ulcer Quality Measure for Three Post-Acute Care Settings.

OBJECTIVE: To describe and explore relationships between social demographic factors and incidence or worsening of pressure ulcer scores among post-acute care (PAC) settings. DESIGN: The authors present the incidence of new or worsening pressure ulcers stratified by self-reported patient race and sex. Investigators used logistic regression modeling to examine relative risk of developing new or worsened pressure ulcers by sociodemographic status and multiple regression modeling to estimate the relative contribution of facility-level factors on rates of new or worsening pressure ulcers. SETTING: Three PAC settings: long-term care hospitals, inpatient rehabilitation facilities, and skilled nursing facilities. PARTICIPANTS: Medicare Part A residents and patients with complete stays in PAC facilities during 2015. MAIN OUTCOME MEASURE: The incidence of new or worsened pressure ulcers as calculated using the specifications of the National Quality Forum-endorsed pressure ulcer quality measure #0678. MAIN RESULTS: The sample included 1,566,847 resident stays in 14,822 skilled nursing facilities, 478,292 patient stays in 1,132 inpatient rehabilitation facilities, and 121,834 patient stays in 397 long-term care hospitals. Significant differences in new or worsened pressure ulcer incidence rates by sociodemographic factors were found in all three settings. Black race, male sex, and advanced age were significant predictors of new or worsened ulcers, although controlling for health conditions reduced the racial disparity. The authors noted significant differences among facilities based on ownership type, urban/rural location, and sociodemographic makeup of facilities' residents/patients. CONCLUSIONS: There is evidence of disparities in the incidence of new or worsened pressure ulcers across PAC settings, suggesting publicly available quality data may be used to identify and ameliorate these problems.

Measuring Inpatient Rehabilitation Facility Quality of Care: Discharge Self-Care Functional Status Quality Measure.

OBJECTIVE: To describe the calculation and psychometric properties of the discharge self-care functional status quality measure implemented in the Centers for Medicare & Medicaid Services' (CMS) Inpatient Rehabilitation Facility (IRF) Quality Reporting Program on October 1, 2016. DESIGN: Medicare fee-for-service (FFS) patients from 38 IRFs that participated in the CMS Post-Acute Care Payment Reform Demonstration were included in this cohort study. Data came from the Continuity Assessment Record and Evaluation Item Set, IRF-Patient Assessment Instrument, and Medicare claims. For each patient, we calculated an expected discharge self-care score, risk-adjusted for demographic and baseline clinical characteristics. The performance score of each IRF equaled the percentage of patient stays where the observed discharge self-care score met or exceeded the expected score. We assessed the measure's discriminatory ability across IRFs and reliability. SETTING: IRFs. PARTICIPANTS: Medicare FFS patients aged ≥21 years (N=4769). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Facility-level discharge self-care quality measure performance score. RESULTS: A total of 4769 patient stays were included; 57% of stays were in women, and 12.1% were in patients aged <65 years. Stroke was the most common diagnosis (21.8%). The mean±SD performance score was 55.1%±16.6% (range, 25.8%-100%). About 54% of IRFs had scores significantly different from the percentage of stays that met or exceeded the expected discharge self-care score in the overall demonstration sample. The quality measure showed strong reliability, with intraclass correlation coefficients of .91. CONCLUSIONS: The discharge self-care quality measure showed strong discriminatory ability and reliability, representing an important initial step in evaluation of IRF self-care outcomes. A wide range in performance scores suggested a gap in quality of care across IRFs. Future work should include testing the measure with nationwide data from all IRFs.

Development of a Risk-adjustment Model for the Inpatient Rehabilitation Facility Discharge Self-care Functional Status Quality Measure.

BACKGROUND: Functional status measures are important patient-centered indicators of inpatient rehabilitation facility (IRF) quality of care. We developed a risk-adjusted self-care functional status measure for the IRF Quality Reporting Program. This paper describes the development and performance of the measure's risk-adjustment model. METHODS: Our sample included IRF Medicare fee-for-service patients from the Centers for Medicare & Medicaid Services' 2008-2010 Post-Acute Care Payment Reform Demonstration. Data sources included the Continuity Assessment Record and Evaluation Item Set, IRF-Patient Assessment Instrument, and Medicare claims. Self-care scores were based on 7 Continuity Assessment Record and Evaluation items. The model was developed using discharge self-care score as the dependent variable, and generalized linear modeling with generalized estimation equation to account for patient characteristics and clustering within IRFs. Patient demographics, clinical characteristics at IRF admission, and clinical characteristics related to the recent hospitalization were tested as risk adjusters. RESULTS: A total of 4769 patient stays from 38 IRFs were included. Approximately 57% of the sample was female; 38.4%, 75-84 years; and 31.0%, 65-74 years. The final model, containing 77 risk adjusters, explained 53.7% of variance in discharge self-care scores (P<0.0001). Admission self-care function was the strongest predictor, followed by admission cognitive function and IRF primary diagnosis group. The range of expected and observed scores overlapped very well, with little bias across the range of predicted self-care functioning. CONCLUSIONS: Our risk-adjustment model demonstrated strong validity for predicting discharge self-care scores. Although the model needs validation with national data, it represents an important first step in evaluation of IRF functional outcomes.

Certified Nurse Aides and Scope of Practice: Clinical Outcomes and Patient Safety.

To understand the impact of scope of practice and allowable certified nurse aide (CNA) tasks across states, the current study compared clinical outcomes in states with a basic scope of practice versus those that allowed for an expanded scope. The current study used data from the Minimum Data Set as well as staffing data from the Centers for Medicare and Medicaid Services. Clinical outcomes included: (a) percent of residents whose need for help with daily activities has increased, (b) percent of high-risk residents with pressure ulcers, (c) percent of residents who self-report moderate to severe pain, (d) percent of residents experiencing one or more falls with major injury, and (e) CNA staffing hours. There was no difference in clinical outcomes between states with expanded or basic scopes. Many factors influence clinical outcomes among residents and additional staffing and facility characteristics should be considered in future studies.

Reliability and Validity of the Minimum Data Set 3.0 Standardized Self-Care and Mobility Data Elements Among Long-Stay Nursing Home Residents.

PURPOSE: To assess the reliability and validity of a subset of the Minimum Data Set (MDS) 3.0 Section GG data elements (i.e., standardized self-care, mobility) among 147 long-stay nursing home residents in seven nursing homes in five states. METHOD: Trained clinicians assessed residents' functional abilities using select Section GG items and Section G activities of daily living items. We examined the reliability and construct validity of the data using Cronbach's alpha, correlations between Section G and Section GG items, confirmatory factor analysis (CFA), and Rasch measurement analysis. RESULTS: We observed acceptable internal consistency values for all (0.98), self-care (0.93), and mobility (0.98) standardized items. Correlations between conceptually related Section G and Section GG items ranged from -0.53 to -0.84. CFA findings found acceptable values for all fit indices. Rasch analysis showed most items had acceptable fit statistics, except for the easiest and most difficult activities. CONCLUSION: These findings establish the feasibility of data collection, internal consistency reliability, and construct validity of the selected Section GG items among long-stay nursing home residents. Use of the same standardized data elements in post-acute and long-term care populations can support improved coding of function and enhance our understanding of resident functioning. [Research in Gerontological Nursing, 17(2), 57-64.].

Do Medicare Inpatient Rehabilitation Facility Patients' Self-Care and Mobility Outcomes Vary by Dual Eligibility Status, Race and Ethnicity, Rural Residence, Socioeconomic Status, and Living Alone?

OBJECTIVE: To examine whether inpatient rehabilitation facility (IRF) patients' risk-adjusted functional outcomes varied with five social drivers of health: Medicare-Medicaid dual eligibility status, race and ethnicity, rural residence, socioeconomic status (SES), and living alone. DESIGN: This cohort study examined unadjusted and adjusted mobility and self-care change scores during IRF stays for 428,710 Medicare patients with and without social drivers of health. Regression models isolated the mean marginal effect of each of the five social factors on mobility and self-care change scores after adjusting for covariates. RESULTS: Patients with full dual status had slightly lower risk-adjusted mobility and self-care improvement (-4.5% and -3.3%, respectively) compared to patients without dual status. Patients who identified as Black, Asian and Native Hawaiian had self-care marginal effects that were slightly lower (-4.8%, -4.1% and -3.7%, respectively) than patients who were White. Patients living in lower SES neighborhoods and patients who lived alone had slightly higher mobility and self-care improvement scores. Risk-adjusted marginal differences in improvement scores for patients with and without these social factors were small and did not meet the meaningfully different criteria. CONCLUSIONS: Overall, IRF patients' risk-adjusted functional outcomes did not vary meaningfully by dual eligibility status, race or ethnicity, rural residence, SES or living alone.

Cross-setting Comparison of Risk Factors for Pressure Injuries Acquired in Post-Acute Care.

GENERAL PURPOSE: To provide information on the association between risk factors and the development of new or worsened stage 2 to 4 pressure injuries (PIs) in patients in long-term care hospitals (LTCHs), inpatient rehabilitation facilities (IRFs), and skilled nursing facilities (SNFs). TARGET AUDIENCE: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant will:1. Compare the unadjusted PI incidence in SNF, IRF, and LTCH populations.2. Explain the extent to which the clinical risk factors of functional limitation (bed mobility), bowel incontinence, diabetes/peripheral vascular disease/peripheral arterial disease, and low body mass index are associated with new or worsened stage 2 to 4 PIs across the SNF, IRF, and LTCH populations.3. Compare the incidence of new or worsened stage 2 to 4 PI development in SNF, IRF, and LTCH populations associated with high body mass index, urinary incontinence, dual urinary and bowel incontinence, and advanced age.

Self-esteem among nursing assistants: reliability and validity of the Rosenberg Self-Esteem Scale.

PURPOSE: To establish the reliability and validity of the Rosenberg Self-Esteem Scale (RSES) when used with nursing assistants (NAs). METHOD: Testing the RSES used baseline data from a randomized controlled trial testing the Res-Care Intervention. Female NAs were recruited from nursing homes (n = 508). Validity testing for the positive and negative subscales of the RSES was based on confirmatory factor analysis (CFA) using structural equation modeling and Rasch analysis. Estimates of reliability were based on Rasch analysis and the person separation index. RESULTS: Evidence supports the reliability and validity of the RSES in NAs although we recommend minor revisions to the measure for subsequent use. CONCLUSION: Establishing reliable and valid measures of self-esteem in NAs will facilitate testing of interventions to strengthen workplace self-esteem, job satisfaction, and retention.

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.

Characteristics and Outcomes of Medicare Patients Treated in Inpatient Rehabilitation Facilities: 2013-2018.

PURPOSE: The aim of this study was to describe the characteristics and outcomes of Medicare patients treated in inpatient rehabilitation facilities (IRFs) in 2013 through 2018. DESIGN: A descriptive study was conducted. METHODS: A total of 2,907,046 IRF Medicare fee-for-service and Medicare Advantage patient stays that ended in 2013 through 2018 were analyzed. RESULTS: The number of Medicare patients treated in IRFs increased by about 9%, from 466,092 in 2013 to 509,475 in 2018. Although IRF patients' age and racial/ethnic composition remained similar across the years, there was a shift in patients' primary rehabilitation diagnosis, with more patients with stroke, neurological conditions, traumatic and nontraumatic brain injury, fewer patients with orthopedic conditions, and fewer coded as having medically complex conditions. Across the years, the percentage of patients discharged to the community was between 73.0% and 74.4%. CLINICAL RELEVANCE TO THE PRACTICE OF REHABILITATION NURSING: Rehabilitation nurses should have training and expertise in the management of patients with stroke and neurological conditions to provide high-quality IRF care. CONCLUSIONS: Between 2013 and 2018, the number of Medicare patients treated in IRFs increased overall. There were more patients with stroke and neurological conditions and fewer patients with orthopedic conditions. Changes to IRF and other post-acute care policies, Medicaid expansion, and alternative payment programs may partially be driving these changes.

Reliability and Validity of the Inpatient Rehabilitation Facility Discharge Mobility and Self-Care Quality Measures.

OBJECTIVE: To describe the reliability and validity of the publicly reported facility-level quality measures Inpatient Rehabilitation Facility (IRF) Discharge Mobility Score for Medical Rehabilitation Patients ("Discharge mobility score") and IRF Discharge Self-Care Score for Medical Rehabilitation Patients ("Discharge self-care score"). DESIGN: Observational study using standardized patient assessment data to examine facility-level split-half reliability and construct validity of quality measure scores. SETTING AND PARTICIPANTS: All IRFs (n = 1117) in the United States with at least 20 Medicare stays. Facility-level quality measure scores were calculated from 2017 data on 428,192 Medicare (fee-for-service and Medicare Advantage) IRF patient stays. METHODS: Using clinician-reported assessment data, we calculated facility-level mobility and self-care quality measure scores and examined reliability of these scores using split-half analysis and Pearson product-moment correlations, Spearman rank correlations, and intraclass correlation coefficients (ICC2,1). We examined construct validity of these scores by comparing facility-level quality measure scores by facility stroke disease-specific certification status. RESULTS: Reported as percentages meeting or exceeding expectations, IRF quality measure scores ranged from 8.3% to 90.1% for mobility and 9.0% to 90.3% for self-care. IRF scores, when split in half to examine reliability, showed strong, positive correlations for the mobility (Pearson = 0.898, Spearman = 0.898, ICC = 0.898) and self-care (Pearson = 0.886, Spearman = 0.874, ICC = 0.886) scores. When stratified by provider volume, ICCs remained strong. Construct validity analyses showed IRFs with stroke disease-specific certification had higher mean and median scores than IRFs without certification, and a greater proportion of IRFs that were certified had higher scores. CONCLUSION AND IMPLICATIONS: Our results support the reliability and construct validity of the IRF quality measures Discharge mobility and Discharge self-care scores. Reported as percentages meeting or exceeding expectations, these quality measures are designed to be more consumer-friendly compared to change scores.