Risk of Discharge to Lower-Quality Nursing Homes Among Hospitalized Older Adults With Alzheimer Disease and Related Dementias

Factors Influencing Hospitalization of Nursing Home Residents in Korea Using Regularized Negative Binomial Regression

The appropriateness of hospitalization for nursing home (NH) residents is still up for debate, with determining factors including timeliness, available treatment, healthcare staff, medication options in hospitals, and safety issues. Although the factors leading to hospitalization have been studied expansively, research on staffing is limited. Thus, this study aimed to investigate organizational predictors, nurse staffing, and government incentives and find important factors to hospitalization due to infection or disease among NH residents in Korea. A cross-sectional design was used, and data were collected via survey from a total of 51 NHs from August 27, 2021 to March 25, 2022. A total of 32 explanatory variables were included. The response variable was the count of hospitalized residents due to infection or disease. We analyzed data using least absolute shrinkage and negative binomial regression. We found that registered nurses' increased hours per resident day were related to decreased hospitalizations due to infection or disease. Appropriate retention and recruitment of nurse staffing with professional leadership should be performed to increase the quality of care for NH residents.

Racial/Ethnic Disparities in Hospital Readmission and Frequent Hospitalizations Among Medicare Beneficiaries With Alzheimer's Disease and Related Dementia: Traditional Medicare Versus Medicare Advantage

OBJECTIVES

Examine racial/ethnic disparities in 30-day readmission and frequent hospitalizations among Medicare beneficiaries with dementia in traditional Medicare (TM) versus Medicare Advantage (MA).

METHODS

In this case-control study, we used 2018-2019 TM and MA claims data. Participants included individuals 65+ with 2 years of continuous enrollment, diagnosis of dementia, a minimum of 4 office visits in 2018, and at least 1 hospitalization in 2019, (cases: TM [n = 36,656]; controls: MA [n = 29,366]). We conducted matching based on health-need variables and applied generalized linear models adjusting for demographics, health-related variables, and healthcare encounters.

RESULTS

TM was associated with higher odds of 30-day readmission (OR = 1.07 [CI: 1.02 to 1.12]) and frequent hospitalizations (OR = 1.10 [CI: 1.06 to 1.14]) compared to MA. Hispanic and Black enrollees in TM had higher odds of frequent hospitalizations compared with Hispanic and Black enrollees in MA, respectively (OR = 1.35 [CI: 1.19 to 1.54]) and (OR = 1.26 [CI: 1.13 to 1.40]). MA was associated with lower Hispanic-White and Black-White disparities in frequent hospitalizations by 5.8 (CI: -0.09 to -0.03) and 4.4 percentage points (PP; CI: -0.07 to -0.02), respectively. For 30-day readmission, there was no significant difference between Black enrollees in TM and MA (OR = 1.04 [CI: 0.92 to 1.18]), but Hispanic enrollees in TM had higher odds of readmission than Hispanics in MA (OR = 1.23 [CI: 1.06 to 1.43]). MA was associated with a lower Hispanic-White disparity in readmission by 1.9 PP (CI: -0.004 to -0.01).

DISCUSSION

MA versus TM was associated with lower risks of 30-day readmission and frequent hospitalizations. Moreover, MA substantially reduced Hispanic-White and Black-White disparities in frequent hospitalizations compared with TM.

Ready or Not: A Conceptual Model of Organizational Readiness for Embedded Pragmatic Dementia Research

The National Institute on Aging Alzheimer's Disease/Alzheimer's Disease and Related Dementias Research Implementation Milestones emphasize the need for implementation research that maximizes up-take and scale-up of evidence-based dementia care practices across settings, diverse populations, and disease trajectories. Organizational readiness for implementation is a salient consideration when planning and conducting embedded pragmatic trials, in which interventions are implemented by provider staff. The current article examines the conceptual and theoretical underpinnings of organizational readiness for implementation and the operationalization of this construct. We offer a preliminary conceptual model for explicating and measuring organizational readiness and describe the unique characteristics and demands of implementing evidence-based interventions targeting persons with dementia and/or their care partners. [Research in Gerontological Nursing, 17(3), 149-160.].

Access to preferred skilled nursing facilities: Transitional care pathways for patients with Alzheimer's disease and related dementias

OBJECTIVE

The study aimed to assess whether individuals with Alzheimer's disease and related dementias (ADRD) experience restricted access to hospitals' high-volume preferred skilled nursing facility (SNF) partners.

DATA SOURCES

The data source includes acute care hospital to SNF transitions identified using 100% Medicare Provider Analysis and Review files, 2017-2019.

STUDY DESIGN

We model and compare the estimated effect of facility "preferredness" on SNF choice for patients with and without ADRD. We use conditional logistic regression with a 1:1 patient sample otherwise matched on demographic and encounter characteristics.

DATA COLLECTION

Our matched sample included 58,190 patients, selected from a total observed population of 3,019,260 Medicare hospitalizations that resulted in an SNF transfer between 2017 and 2019.

PRINCIPAL FINDINGS

Overall, patients with ADRD have a lower probability of being discharged to a preferred SNF (52.0% vs. 54.4%, p < 0.001). Choice model estimation using our matched sample suggests similarly that the marginal effect of preferredness on a patient choosing a proximate SNF is 2.4 percentage points lower for patients with ADRD compared with those without (p < 0.001). The differential effect of preferredness based on ADRD status increases when considering (a) the cumulative effect of multiple SNFs in close geographic proximity, (b) the magnitude of the strength of hospital-SNF relationship, and (c) comparing patients with more versus less advanced ADRD.

CONCLUSIONS

Preferred relationships are significantly predictive of where a patient receives SNF care, but this effect is weaker for patients with ADRD. To the extent that these high-volume relationships are indicative of more targeted transitional care improvements from hospitals, ADRD patients may not be fully benefiting from these investments. Hospital leaders can leverage integrated care relationships to reduce SNFs' perceived need to engage in selection behavior (i.e., enhanced resource sharing and transparency in placement practices). Policy intervention may be needed to address selection behavior and to support hospitals in making systemic improvements that can better benefit all SNF partners (i.e., more robust information sharing systems).