Providing Behavioral Health Services in Nursing Homes Is Difficult: Findings From a National Survey

Telemedicine Utilization Among Residents With Alzheimer Disease and Related Dementia: Association With Nursing Home Characteristics

OBJECTIVE

To examine telemedicine use among nursing home (NH) residents with Alzheimer disease and related dementias (ADRD) and the associations with NH characteristics.

DESIGN

Observational study.

SETTING AND PARTICIPANTS

2020-2021 Minimum Data Set 3.0, Medicare datasets, and Nursing Home Compare data were linked. A total of 10,810 NHs were identified.

METHODS

The outcome variable was the percentage of residents with ADRD who used telemedicine in an NH in a quarter. The main independent variables were NH racial and ethnic compositions (ie, percentages of Black and Hispanic residents) and NH rurality. A set of linear models with NH random effects were estimated. The analysis was stratified by COVID-19 pandemic stages, including the beginning of the pandemic [second quarter of 2020 (2020 Q2)], before and after the widespread of the COVID-19 vaccine (ie, 2020 Q3-2021 Q1 and 2021 Q2-2021 Q4).

RESULTS

The proportion of residents with ADRD in NHs who had telemedicine use declined from 35.0% in 2020 Q2 to 9.3% in 2021 Q4. After adjusting for other NH characteristics, NHs with a high proportion of Hispanic residents were 2.7 percentage points more likely to use telemedicine for residents with ADRD than those with a low proportion during 2021 Q2-2021 Q4 (P < .001), whereas NHs with a high proportion of Black residents were 1.5 percentage points less likely to use telemedicine than those with a low proportion (P < .01). Additionally, compared with metropolitan NHs, rural NHs were 6.4 percentage points less likely to use telemedicine in 2020 Q2 (P < .001), but 5.9 percentage points more likely to use telemedicine during 2021 Q2-2021 Q4 (P < .001). We also detected the relationship between telemedicine use and other NH characteristics, such as NH quality, staffing level, and Medicaid-pay days.

CONCLUSIONS AND IMPLICATIONS

The proportion of residents with ADRD in NHs who had telemedicine use decreased during the pandemic. Telemedicine could improve health care access for NHs with a high proportion of Hispanic residents and NHs in remote areas. Future studies should investigate how telemedicine use affects the health outcomes of NH residents with ADRD.

Mental Health Treatment Among Nursing Home Residents With Alzheimer's Disease and Related Dementias

OBJECTIVES

To examine the prevalence of mental health treatment among nursing home (NH) long-stay residents with Alzheimer's disease and related dementias (ADRD) and explore factors associated with utilization.

DESIGN

Retrospective cohort study. Minimum Data Set data (April 2017-September 2018), Medicare Master Beneficiary Summary File, Part B Carrier file and Part D prescription file were used to identify mental illness and ADRD diagnoses, patient characteristics, and mental health treatment.

SETTING AND PARTICIPANTS

All US Medicare- or Medicaid-certified NHs. Fee-for-service Medicare beneficiaries aged 65 and older who had a quarterly or annual Minimum Data Set assessment with ADRD and were enrolled in Medicare Parts B and D. Two cohorts: residents with both ADRD and psychiatric disorders; residents with ADRD only.

METHODS

Primary outcomes: receipt of (1) any mental health treatment (medication or psychotherapy); (2) any psychotherapy in a calendar quarter.

SECONDARY OUTCOMES

antipsychotics, antidepressants, hypnotics, antiepileptics, short-session ( ≤ 30 minutes), long-session ( ≥ 45 minutes), and family/group psychotherapy. Covariates included predisposing, enabling characteristics, and needs factors. Generalized Estimating Equation models of quarterly data, nested within patients, were estimated for each outcome among each cohort.

RESULTS

Analyses included 1,913,945 resident-quarter observations from 503,077 unique NH long-stay residents. Overall, 68.5% of NH long-stay residents with ADRD have psychiatric disorders; of these, 85% received mental health treatment. African American or Hispanic residents were less likely to use antidepressants. African American residents or residents living in rural locations were less likely to receive long-session psychotherapy. Hispanic residents were more likely to receive long-session psychotherapy. Residents in minority groups were more likely to receive group/family psychotherapy.

CONCLUSIONS AND IMPLICATIONS

Most of NH long-stay residents with ADRD had psychiatric disorders and most of them received treatment. Antidepressants or long-session psychotherapy were less likely to be provided to African American residents. Factors that determine the efficacy of mental health treatment and reasons for the racial disparities require further exploration.

Social Workers Critical to Honoring Commitments to Residents and Families in Long-Term Care

Social workers have been at the forefront of research and advocacy to improve nursing home care for several decades. However, United States (U.S.) regulations have not kept pace with professional standards, as nursing home social services workers are still not required to have a degree in social work and many are assigned caseloads that are untenable for providing quality psychosocial and behavioral health care. The National Academies of Sciences, Engineering, and Medicine (NASEM)'s recently published interdisciplinary consensus report, The National Imperative to Improve Nursing Home Quality: Honoring our Commitment to Residents, Families, and Staff (NASEM, 2022) makes recommendations for changing these regulations, reflecting years of social work scholarship and policy advocacy. In this commentary, we highlight the NASEM report recommendations for social work and chart a course for continuing scholarship and policy advocacy to improve resident outcomes.

Specialty care after transition to long-term care in nursing home

BACKGROUND

Nursing home residents face many barriers to accessing specialist physician outpatient care. However, little data exists on how specialty care use changes when individuals transition to a nursing home in the US.

METHODS

We studied specialist outpatient visits for new long-term care (LTC) residents within 1 year before and after their transition to nursing home residence using the Minimum Data Set v3.0 (MDS) and a 20% sample of Medicare fee-for-service claims in 2014-2018. To focus on residents requiring specialty care at baseline, we limited the cohort to residents with specialty care in the 13-24 months before LTC transition. We then measured the proportion of residents receiving at least one visit in the 12 months before the transition and the 12 months after the transition. We also examined subgroups of residents with a prior diagnosis likely requiring long-term specialty care (e.g., multiple sclerosis). Finally, we examined whether there was continuity of care within the same specialty care provider.

RESULTS

Among 39,288 new LTC transitions identified in 2016-2017, 17,877 (45.5%) residents had a prior specialist visit 13-24 months before the transition. Among them, the proportion of residents with specialty visits decreased consistently in all specialties in the 12 months after the transition, ranging from a relative decrease of 14.4% for orthopedics to 67.9% for psychiatry. The relative decrease among patients with a diagnosis likely requiring specialty care ranged from 0.9% for neurology in patients with multiple sclerosis to 67.1% for psychiatry in patients with severe mental illness. Among residents who continued visiting a specialist, 78.9% saw the same provider as before the transition.

CONCLUSIONS

The use of specialty care falls significantly after patients transition to a nursing home. Further research is needed to understand what drives this drop in use and whether interventions, such as telemedicine can ameliorate potential barriers to specialty care.

Post-acute care transitions and outcomes among Medicare beneficiaries with dementia: Associations with race/ethnicity and dual status

OBJECTIVE

To evaluate how post-acute care (PAC) transitions affect minority older adults with Alzheimer's disease or related dementia (ADRD), and the extent to which dual Medicare-Medicaid eligibility may attenuate or exacerbate disparities in PAC outcomes. We examined: (1) PAC referrals by race/ethnicity and dual status; (2) individual, hospital, and market-level factors associated with PAC; (3) the association between PAC and outcomes.

DATA SOURCES/STUDY SETTING

We used the following secondary data: Master Beneficiary Summary File (MBSF), Medicare Provider Analysis and Review (MedPAR), Minimum Data Set (MDS), Area Health Resource File (AHRF), hospital Provider of Services (POS) file, and the area deprivation index (ADI).

STUDY DESIGN

This observational study consisted of 619,262 community-residing Medicare fee-for-service (FFS) beneficiaries with ADRD who had a hospital stay in 2017.

DATA COLLECTION/EXTRACTION METHODS

PAC discharge was to skilled nursing facilities (SNF), home health care (HHC) agencies or home without services. Outcomes were 30-day readmission and death. Multinomial logistic regressions with hospital random effects (RE), stratified by dual eligibility, were fit.

PRINCIPAL FINDINGS

Dual-related differences were significantly larger than race/ethnicity differences in PAC transitions. For example, the difference in the probability of SNF transitions between White and Black patients was 3.2% and 6.8%-points for non-duals and duals, respectively. The difference between non-dual/dual White patients was 21.6% points, and among Black patients 18.0%-points. The adjusted risk of 30-day readmission was 5.6 percentage point higher among non-duals discharged to SNF, compared to home, but such risk among duals was not statistically significantly different. The adjusted probabilities of 30-day mortality were larger for duals and non-duals who transitioned to SNF, compared to those discharged home.

CONCLUSIONS

PAC referrals and the resulting outcomes for Medicare beneficiaries with ADRD are associated with multi-level variables that need to be incorporated in discharge decision making.

Admission and Care of Individuals with Mental Illness in Massachusetts Nursing Homes: An Exploratory Study

Rising rates of mental illness in nursing homes (NHs) led Congress to pass the 1987 Pre-Admission Screening and Resident Review (PASRR) mandate, aimed at limiting inappropriate institutionalization of people with mental illness (MI) and ensuring appropriate service of NH residents with MI. The law's flexibility results in significant cross-state variations. This study explores Massachusetts' experiences with PASRR implementation, using semi-structured interviews (N=8) with key informants representing major stakeholders. Thematic Content Analysis was used for analysis.Four themes emerged as follows: 1) PASRR screens MI, insufficient in ensuring services, 2) NHs face challenges implementing PASRR, 3) inadequate community-based services increase pressure on NHs, and 4) reactions to PASRR revisions were mixed. Participants agreed that PASRR's first aim was met-avoiding inappropriate institutionalization-but not the second-ensuring appropriate services, and highlighted the limited community alternatives for serving people with MI. More research is needed to understand state variations in PASRR implementation.

Reducing Hospitalizations Among Nursing Facility Residents: Policy Environment and Suggestions for the Future in Seven States

The current study examined the policy and market context existing in the seven states where the Centers for Medicare & Medicaid Services (CMS) Initiative to Reduce Avoidable Hospitalizations among Nursing Facility Residents took place. Stakeholder organizations with knowledge of the skilled nursing facility environment but who were not directly involved with the CMS Initiative were interviewed to assess the impact of policies and programs affecting transfers to the hospital from long-term care facilities. Focused interviews were used to identify areas of quality improvement as well as market forces that contributed to hospitalization rates. Interviews were qualitatively coded and emerging patterns and themes were identified. Market pressures were similar across states. Few policies were found that may have affected the Initiative, but most states had regional coalitions focused on improving some aspect of care. When asked what else could be done to reduce hospitalizations among nursing facility residents, participants across the stakeholder organizations suggested greater presence of physicians and nurse practitioners in nursing facilities, better training around behavioral health issues for frontline staff, and more advance care planning and education for families regarding end of life. [Journal of Gerontological Nursing, 48(8), 10-16.].

Changing landscape of nursing homes serving residents with dementia and mental illnesses

OBJECTIVE

Nursing homes (NHs) are serving an increasing proportion of residents with cognitive issues (e.g., dementia) and mental health conditions. This study aims to: (1) implement unsupervised machine learning to cluster NHs based on residents' dementia and mental health conditions; (2) examine NH staffing related to the clusters; and (3) investigate the association of staffing and NH quality (measured by the number of deficiencies and deficiency scores) in each cluster.

DATA SOURCES

2009-2017 Certification and Survey Provider Enhanced Reporting (CASPER) were merged with LTCFocUS.org data on NHs in the United States.

STUDY DESIGN

Unsupervised machine learning algorithm (K-means) clustered NHs based on percent residents with dementia, depression, and serious mental illness (SMI, e.g., schizophrenia, anxiety). Panel fixed-effects regressions on deficiency outcomes with staffing-cluster interactions were conducted to examine the effects of staffing on deficiency outcomes in each cluster.

DATA EXTRACTION METHODS

We identified 110,463 NH-year observations from 14,671 unique NHs using CASPER data.

PRINCIPAL FINDINGS

Three clusters were identified: low dementia and mental illnesses (Postacute Cluster); high dementia and depression, but low SMI (Long-stay Cluster); and high dementia and mental illnesses (Cognitive-mental Cluster). From 2009 to 2017, the number of Postacute Cluster NHs increased from 3074 to 5719, while the number of Long-stay Cluster NHs decreased from 6745 to 3058. NHs in Long-stay/Cognitive-mental Clusters reported slightly lower nursing staff hours in 2017. Regressions suggested the effect of increasing staffing on reducing deficiencies is statistically similar across NH clusters. For example, 1 hour increase in registered nurse hours per resident day was associated with -0.67 (standard error [SE] = 0.11), -0.88 (SE = 0.12), and -0.97 (SE = 0.15) deficiencies in Postacute Cluster, Long-stay Cluster, and Cognitive-mental Cluster, respectively.

CONCLUSIONS

Unsupervised machine learning detected a changing landscape of NH serving residents with dementia and mental illnesses, which requires assuring staffing levels and trainings are suited to residents' needs.

Characteristics of Working-Age Adults With Schizophrenia Newly Admitted to Nursing Homes

OBJECTIVES

Persons aged <65 years account for a considerable proportion of US nursing home residents with schizophrenia. Because they are often excluded from psychiatric and long-term care studies, a contemporary understanding of the characteristics and management of working-age adults (22-64 years old) with schizophrenia living in nursing homes is lacking. This study describes characteristics of working-age adults with schizophrenia admitted to US nursing homes in 2015 and examines variations in these characteristics by age and admission location. Factors associated with length of stay and discharge destination were also explored.

DESIGN

This is a cross-sectional study using the Minimum Data Set 3.0 merged to Nursing Home Compare.

SETTING AND PARTICIPANTS

This study examines working-age (22-64 years) adults with schizophrenia at admission to a nursing home.

METHODS

Descriptive statistics of resident characteristics (sociodemographic, clinical comorbidities, functional status, and treatments) and facility characteristics (ownership, geography, size, and star ratings) were examined overall, stratified by age and by admission location. Generalized estimating equation models were used to explore the associations of age, discharge to the community, and length of stay with relevant resident and facility characteristics. Coefficient estimates, adjusted odds ratios, and 95% CIs are presented.

RESULTS

Overall, many of the 28,330 working-age adults with schizophrenia had hypertension, diabetes, and obesity. Those in older age subcategories tended to have physical functional dependencies, cognitive impairments, and clinical comorbidities. Those in younger age subcategories tended to exhibit higher risk of psychiatric symptoms.

CONCLUSIONS AND IMPLICATIONS

Nursing home admission is likely inappropriate for many nursing home residents with schizophrenia aged <65 years, especially those in younger age categories. Future psychiatric and long-term care research should include these residents to better understand the role of nursing homes in their care and should explore facility-level characteristics that may impact quality of care.

Social Service Directors' Roles and Self-Efficacy in Suicide Risk Management in US Nursing Homes

Nursing home (NH) residents have many risk factors for suicide in later life and transitions into and out of NHs are periods of increased suicide risk. The purpose of this study was to describe NH social service directors (SSDs) roles in managing suicide risk and to identify factors that influence self-efficacy in this area. This study used data from the 2019 National Nursing Home Social Services Directors survey (n = 924). One-fifth (19.7%) of SSDs reported a lack of self-efficacy in suicide risk management, as indicated by either needing significant preparation time or being unable to train others on intervening with residents at risk for suicide. Ordinal logistic regression identified SSDs who were master's prepared, reported insufficient social service staffing as a minor barrier (versus a major barrier) to psychosocial care, and those most involved in safety planning for suicide risk were more likely to report self-efficacy for training others. Implications include the need for targeted training of NH social service staff on suicide prevention, such as safety planning as an evidence-based practice. Likewise, sufficient staffing of qualified NH social service providers is critically important given the acute and chronic mental health needs of NH residents.

Serious Mental Illness in Nursing Homes: Roles and Perceived Competence of Social Services Directors

Providing nursing home psychosocial care to persons with serious mental illnesses (SMI) requires understanding of comorbidities and attention to resident rights, needs and preferences. This quantitative study reports how 924 social service directors (SSDs) taking part in the National Nursing Home Social Service Director survey identified their roles and competence, stratified by the percentage of residents with SMI. More than 70% of SSDs, across all categories of homes, reported the social services department was "always" involved in conducting depression screening, biopsychosocial assessments and PASRR planning. SSDs in homes with lower concentrations of residents with SMI reported less involvement in anxiety screening. Those employed in homes with higher concentrations of residents with SMI reported lower involvement conducting staff interventions for resident aggression or making referrals. More than one-fifth of SSDs lacked confidence in their ability to compare/contrast dementia, depression, and delirium or to develop care plans for residents with SMI. SSDs' perceived competence in developing care plans for residents with SMI was associated with education and involvement in care planning. About one-quarter of social services directors reported not being prepared to train a colleague on how to develop care plans for residents with SMI. Training in SMI could enhance psychosocial care.

Predictors of Nursing Home Admission Among a Cohort of Homeless Older Adults Entering Emergency Shelter

OBJECTIVE

This study examined the extent and timing of nursing home admissions among older adults who had their first visit at an emergency shelter or re-entered after an extended absence. We assessed the relationships between demographic characteristics, health and behavioral health conditions, and health services utilization measures and the risk of nursing home admission.

METHODS

We linked administrative data from the emergency shelter system in Boston, MA to claims data from the Massachusetts Medicaid program. Using the linked data, we identified a cohort of 432 adults aged 55 and above who entered the shelter for the first time (or re-entered after an extended absence) between 2012 and 2015. We estimated Kaplan-Meier survival curves and hazard functions to describe the extent and timing of nursing home admissions in this population following the date of their initial shelter entry and Cox proportional hazards regression models to identify predictors of the risk of nursing home admission.

RESULTS

Roughly 12% of the study cohort had a nursing home admission within 4 years of their initial shelter entry and risk of shelter admission was highest in the first few months following shelter entry. Older age, diagnoses indicating alcohol use disorder, greater overall disease burden, and a prior history of nursing home admission were all associated with a higher risk of nursing home admission following shelter entry.

CONCLUSIONS

Amidst ongoing growth in the number of older homeless adults, our study findings have important implications for efforts to meet the housing and health needs of this population.

Severe Behavioral Health Manifestations in Nursing Homes: Associations with Service Availability?

BACKGROUND/OBJECTIVES

Despite high prevalence of behavioral health (BH) manifestations among nursing home (NH) residents, availability of BH services in this care setting is often inadequate. Our objective was to examine associations between availability of BH services and the presence of severe depression, suicidal ideation (SI), and severe aggressive behaviors (ABs) among NH residents.

DESIGN

Cross-sectional.

SETTING/PARTICIPANTS

This study used 2017 survey data about BH service availability obtained from 1,051 NHs. The Minimum Data Set (MDS) was used to identify long-stay residents in these facilities (N = 101,238) and the prevalence of BH manifestations. Descriptive statistics and multivariable logistic regressions were used.

MEASUREMENTS

We constructed measures of three severe BH manifestations based on the MDS: presence of depression, SI, and ABs. Three independent measures of service availability based on survey items asked about degrees of inadequate (1) staff BH education, (2) coordination/collaboration between facility/community providers, and (3) facility infrastructure (ie, ability to make referrals/transport residents to services).

RESULTS

Odds of severe depression were 21% higher (odds ratio [OR] = 1.21; P < .001) when NHs reported inadequate BH staff education. Residents with SI had 13% higher odds (OR = 1.13; P = .027) of living in NHs that reported inadequate coordination between facility and community providers. Severe ABs were 10% more likely among residents in NHs reporting inadequate facility infrastructure (OR = 1.10; P = .002) and 7% more likely in facilities with self-reported inadequate coordination between facility/community providers (OR = 1.07; P = .019). Several facility-level factors (eg, staffing, training, turnover) were also statistically significantly associated with these severe BH manifestations.

CONCLUSION

Residents in NHs reporting inadequate BH services were more likely to experience adverse severe BH manifestations even after controlling for individual and facility-level risk factors. Higher nurse staffing and more staff psychiatric training were associated with lower prevalence of severe BH manifestations. Policy changes and modifications to Medicaid NH reimbursements may be warranted to better incentivize NHs to improve provision of BH services.

Suicidal Ideation in US Nursing Homes: Association With Individual and Facility Factors

OBJECTIVE

To assess prevalence of suicidal ideation (SI) among new postacute and long-stay nursing home (NH) admissions and examine the associations with individual and NH-level factors.

SETTING/PARTICIPANTS

A total of 1,864,102 postacute and 304,106 long-stay admissions to just over 15,000 NHs between 7/1/2014 and 6/30/2015.

MEASUREMENT

Using 100% of the national Minimum Data Set 3.0, we identified SI and key covariates. SI was based on responses to one item on the PHQ-9 scale. For postacute residents, SI was measured at admission and discharge. For long-stay residents, SI was assessed at admission and assessments closest to 90, 180, and 365 days thereafter. Patient sociodemographics, functional and cognitive status, comorbid conditions, and other covariates were included as independent variables, as were several NH-level factors. Logistic regression models were fit to estimate SI risk at admission and at subsequent time intervals.

RESULTS

Observed 2-week prevalence rates of SI were highest at admission (1.24% for postacute and 1.84% for long stays) and declined thereafter at each subsequent time interval. The odds of SI were significantly increased for residents with severe depression at admission and all subsequent intervals. Residents in for-profits had significantly lower rates of SI, compared with those in not-for-profits.

CONCLUSIONS

Our findings demonstrate that SI risk in NHs is highest at admission and subsequently declines. We found several potentially modifiable individual-level risk factors for SI. The identification of SI may be seriously underreported in for-profit-facilities. Future research may be needed to explore how the PHQ-9 item on SI is understood by residents and recorded by staff.

Association between High Proportions of Seriously Mentally Ill Nursing Home Residents and the Quality of Resident Care

OBJECTIVES

To examine the association between the quality of care delivered to nursing home residents with and without a serious mental illness (SMI) and the proportion of nursing home residents with SMI.

DESIGN

Instrumental variable study. Relative distance to the nearest nursing home with a high proportion of SMI residents was used to account for potential selection of patients between high- and low-SMI facilities. Data were obtained from the 2006-2010 Minimum Data Set assessments linked with Medicare claims and nursing home information from the Online Survey, Certification, and Reporting database.

SETTING

Nursing homes with high (defined as at least 10% of a facility's population having an SMI diagnosis) and low proportions of SMI residents.

PARTICIPANTS

A total of 58 571 Medicare nursing residents with an SMI diagnosis (ie, schizophrenia or bipolar disorder) and 558 699 individuals without an SMI diagnosis who were admitted to the same nursing homes.

MEASUREMENTS

Outcomes were nursing home quality measures: (1) use of physical restraints, (2) any hospitalization in the last 3 months, (3) use of an indwelling catheter, (4) use of a feeding tube, and (5) presence of pressure ulcer(s).

RESULTS

For individuals with SMI, admission to a high-SMI facility was associated with a 3.7 percentage point (95% confidence interval [CI] = 1.4-6.0) increase in the probability of feeding tube use relative to individuals admitted to a low-SMI facility. Among individuals without SMI, admission to a high-SMI facility was associated with a 1.7 percentage point increase in the probability of catheter use (95 CI = .03-3.47), a 3.8 percentage point increase in the probability of being hospitalized (95% CI = 2.16-5.44), and a 2.1 percentage point increase in the probability of having a feeding tube (95% CI = .43-3.74).

CONCLUSION

Admission to nursing homes with high concentrations of residents with SMI is associated with worse outcomes for both residents with and without SMI. J Am Geriatr Soc 67:2346-2352, 2019.