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The devastating effects of coronavirus disease 2019 (COVID-19) highlight the critical need for effective infection prevention and control (IPC) practices in nursing homes. Nursing management and infection preventionists should be cognizant of the most common reasons underlying federal IPC citations during the pandemic. Analysis of IPC citation data from the first 7 months of the public health emergency identified that adherence to personal protective equipment (PPE) and mask use, appropriate transmission-based precautions, and hand hygiene were the most common reasons for COVID-19-related F880 citations, including those that placed a person at immediate risk for serious injury or death. More specific staff practices and other factors leading to a citation are also highlighted. Although nursing homes may have limited control over factors such as PPE supply and staffing resources, nursing management and infection preventionists can use these results to help ensure that operational mechanisms, staff training, and adherence monitoring efforts effectively address the areas most associated with COVID-19 IPC noncompliance. [Journal of Gerontological Nursing, 49(2), 36-42.].

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The purpose of this study was to examine racial/ethnic disparities in functional outcomes of elderly home health care recipients. Analyses were conducted using Outcome and Assessment Information Set (OASIS) data for a nationally representative sample of home health care episodes for patients aged 65 and older. Risk-adjusted regression analyses examined the association between race/ethnicity and functional outcomes. Fourteen outcome measures reflected improvement in specific functional areas (e.g., ambulation) and two reflected overall functional change. Non-Hispanic Whites (Whites) experienced substantially better functional outcomes than did home health care recipients of other racial/ethnic backgrounds. The disparity in outcomes was most pronounced between Whites and African Americans.

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OBJECTIVE: To assess initial changes in home health patient outcomes under Medicare's home health Prospective Payment System (PPS), implemented by the Centers for Medicare and Medicaid Services (CMS) in October 2000. DATA SOURCES/STUDY SETTING: Pre-PPS and early PPS data were obtained from CMS Outcome and Assessment Information Set (OASIS) and Medicare claims files. STUDY DESIGN: Regression analysis was applied to national random samples (n=164,810) to estimate pre-PPS/PPS outcome and visit-per-episode changes. DATA COLLECTION/EXTRACTION METHODS: Outcome episodes were constructed from OASIS data and linked with Medicare claims data on visits. PRINCIPAL FINDINGS: Outcome changes (risk adjusted) were mixed and generally modest. Favorable changes included higher improvement rates under PPS for functioning and dyspnea, higher community discharge rates, and lower hospitalization and emergent care rates. Most stabilization (nonworsening) outcome rates also increased. However, improvement rates were lower under PPS for wounds, incontinence, and cognitive and emotional/behavioral outcomes. Total visits per episode (case-mix adjusted) declined 16.6 percent although therapy visits increased by 8.4 percent. CONCLUSIONS: The outcome and visit results suggest improved system efficiency under PPS (fewer visits, similar outcomes). However, declines in several improvement rates merit ongoing monitoring, as do subsequent (posthome health) hospitalization and emergent care use. Since only the early PPS period was examined, longer-term analyses are needed.

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Using OASIS data collected by all Medicare-certified home health agencies, this article first presents descriptive statistics on patient outcomes for a national agency sample in 2001, soon after Medicare prospective payment implementation. Ratios of actual to predicted outcome rates, aggregated for groups of outcomes, are considered as potential summary indicators of agency outcome performance. The aggregate ratios show promise, but information on each outcome remains critical to agencies' outcome improvement efforts. Ratios for some outcomes are interrelated, suggesting that agencies focusing outcome enhancement efforts on a few target outcomes also may improve related outcomes.

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The Outcome and Assessment Information Set (OASIS) is used for outcome reporting, quality improvement, and case mix adjustment of per-episode payment for home health care. The research described here addresses interrater reliability of OASIS items and compares clinician time required to complete patient assessment with and without OASIS. Interrater reliability for OASIS data items was estimated using independent assessments by two clinicians for a sample of 66 patients. Incremental assessment time due to OASIS was estimated using interview data from two agency-matched groups of clinical care providers-one group who used OASIS in the assessment and a second group whose assessment did not include OASIS items. Interrater reliability is excellent (kappa > .80) for many OASIS items and substantial (kappa > 0.60) for most items. The reported time required to complete an assessment with OASIS did not differ from the time required for a comparable assessment without OASIS. The results of this study are being used to guide developmental efforts to improve OASIS items. They can also be informative to home health care agencies when interpreting OASIS-based outcome and case mix reports.

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The Outcome and Assessment Information Set (OASIS) is used for outcome reporting, quality improvement, and case mix adjustment of per-episode payment for home health care. The research described here addresses interrater reliability of OASIS items and compares clinician time required to complete patient assessment with and without OASIS. Interrater reliability for OASIS data items was estimated using independent assessments by two clinicians for a sample of 66 patients. Incremental assessment time due to OASIS was estimated using interview data from two agency-matched groups of clinical care providers--one group who used OASIS in the assessment and a second group whose assessment did not include OASIS items. Interrater reliability is excellent (kappa > .80) for many OASIS items and substantial (kappa > 0.60) for most items. The reported time required to complete an assessment with OASIS did not differ from the time required for a comparable assessment without OASIS. The results of this study are being used to guide developmental efforts to improve OASIS items. They can also be informative to home health care agencies when interpreting OASIS-based outcome and case mix reports.

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OBJECTIVES: To evaluate effects on patient outcomes of Outcome-Based Quality Improvement (OBQI), a continuous quality improvement methodology for home health care (HHC). DESIGN: A quasi-experimental design with prospective pre/post and study/control components within two multiyear demonstration trials (occurring from 1995 to 2000) in which 73 home health agencies implemented OBQI, receiving several annual cycles of outcome reports to evaluate and enhance patient outcomes. SETTING: New York and 27 other states. PARTICIPANTS: The study involved 157,548 predominantly older adult patients admitted over 3 years to 54 OBQI agencies from 27 states in the National Demonstration Trial, 105,917 patients admitted over 4 years to 19 OBQI agencies in the New York State Trial, and 248,621 patients admitted over 3 years to non-OBQI control agencies in the 27 demonstration states. INTERVENTION: As a clinical management and administrative intervention, OBQI involves collecting, encoding, and transmitting patient-level health status data to a central source that provides each OBQI agency with a risk-adjusted outcome report comparing the agency's patient outcomes with those from a reference population and with its own outcomes from the prior period. Target outcomes are selected and focused plans of action implemented to change care behaviors. Outcome changes are evaluated through the next report cycle. MEASUREMENTS: Outcome measures include hospitalization rates and improvement and stabilization outcome rates in functional, physiological, emotional/behavioral, and cognitive health. RESULTS: For the National and New York State Demonstration Trials, the risk-adjusted relative rates of decline in hospitalization of 22% and 26%, respectively, for OBQI patients over the 3-year and 4-year demonstration periods were significant (P <.001) and unparalleled by considerably smaller rates of decline for the non-OBQI patients in the 27 states. The risk-adjusted rates of improvement in OBQI target outcome measures of health status averaged 5% to 7% per year in both demonstration trials and were significantly greater (P <.05) than analogous improvement rates for nontarget comparison outcomes, which averaged about 1% per year. CONCLUSION: It is feasible to integrate the programmatic, data collection, data transmission, and outcome enhancement components of OBQI into the day-to-day operations of home health agencies. The aggregate findings and the agency-level evidence available from site-specific communications suggest that OBQI had a pervasive effect on outcome improvement for home health patients. OBQI appears to warrant expansion and refinement in HHC and experimentation in other healthcare settings.

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This study arose from concerns that home health care may be more difficult to provide to rural than urban elderly patients (because of geographic barriers, personnel shortages, and other factors) and may therefore be less effective in terms of patient outcomes. Case mix, home health care service use, and outcomes (primarily discharge status) were analyzed for a national random sample of 3,869 rural and urban elderly home health patients. Longitudinal data covered the period from home health admission to discharge or 120 days (whichever occurred first). Primary data collection instruments were designed to obtain longitudinal patient-level health status data; agency records and Medicare data provided service use information. (The study did not address access but focused on services and outcomes after admission to home health care.) Two-group statistical tests and multivariate analyses were employed to assess rural-urban differences. The major findings were that, after adjustment for rural-urban case mix and agency differences, rural compared to urban patients received fewer home health services and attained less favorable discharge outcomes. For example, the rural patients had a higher case mix adjusted hospitalization rate. Because the study data pertain to 1995 through 1996, the results provide a baseline for future analyses of possibly different rural compared to urban effects of the Balanced Budget Act of 1997, which resulted in major changes in Medicare payment for home health care.

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