A Research and Policy Agenda for Transitions from Nursing Homes to Home

SUMMARY

More than 1 million adults make the transition from nursing homes to the community every year, often using formal health services including Medicare Part A skilled home health care. Although the need for discharge planning is well described, and the risks associated with care transitions are increasingly recognized, there is very limited information about the process and outcomes as patients move from nursing home to home. This paper reviews pertinent published data and health services research as background information and outlines a research agenda for studying these important transitions.     

Community Discharge of Nursing Home Residents: The Role of Facility Characteristics

Objective

Using a socio‐ecological model, this study examines the influence of facility characteristics on the transition of nursing home residents to the community after a short stay (within 90 days of admission) or long stay (365 days of admission) across states with different long‐term services and supports systems.

Data Source

Data were drawn from the Minimum Data Set, the federal Online Survey, Certification, and Reporting (OSCAR) database, the Area Health Resource File, and the LTCFocUs.org database for all free‐standing, certified nursing homes in California (n = 1,127) and Florida (n = 657) from July 2007 to June 2008.

Study Design

Hierarchical generalized linear models were used to examine the impact of facility characteristics on the probability of transitioning to the community.

Principal Findings

Facility characteristics, including size, occupancy, ownership, average length of stay, proportion of Medicare and Medicaid residents, and the proportion of residents admitted from acute care facilities are associated with discharge but differed by state and whether the discharge occurred after a short or long stay.

Conclusion

Short‐ and long‐stay nursing home discharge to the community is affected by resident, facility, and sometimes market characteristics, with Medicaid consistently influencing discharge in both states.     

Predicting Future Health Transitions Among Newly Admitted Nursing Home Residents With Heart Failure

Objectives

To understand how a heart failure diagnosis and admission health instability predict health transitions and outcomes among newly admitted nursing home residents.

Describing Transfers Originating Out-of-Facility for Nursing Home Residents

ObjectivesPotentially avoidable hospitalizations are harmful to nursing home residents. Despite extensive care transitions research, no studies have described transfers originating outside the nursing home (eg, visiting family members or at a dialysis center). This article describes 82 out-of-facility (community) transfers and compares them to transfers originating within the nursing home (direct transfers).DesignSecondary data analysis with multivariable model for community transfer risk factors.Setting and ParticipantsEighty-two community transfers and 1362 transfers originating in the nursing home, involving 870 residents enrolled in the OPTIMISTIC demonstration project between January 1, 2015, and June 30, 2016.MethodsTransfers were compared using data from the Minimum Data Set and root cause analyses performed at time of transfer. Multivariable associations were assessed at the transfer level to define risk factors for community transfers. Project nurses collected data on community transfers to inform a root cause analysis.ResultsResidents with community transfers were younger (74.4 years vs 78.2 years), with lower prevalence of cognitive impairment (44.8% vs 70.3%) and higher rates of heart failure (38.7% vs 23.3%) than residents with direct transfers. Community transfers were more likely due to cardiovascular illness (31.2% vs 8.7%), whereas less likely to be for cognitive, behavioral, and psychiatric concerns (11.7% vs 22.7%). Nearly half (46%) of community transfers originated at dialysis centers. Residents transferred outside the nursing home were less likely to have documented limitations to care such as a do not resuscitate code status. Communication during community transfers was identified on root cause analyses as a potential area for improvement.Conclusions and ImplicationsCommunity transfers were more likely to occur in younger residents with higher rates of cardiovascular disease and lower rates of cognitive impairment. Improved communication between nursing home staff and outside providers as well as more extensive advance care planning for residents with cardiovascular disease may reduce community transfers.     

Purchasing High-Quality Community Nursing Home Care: A Will to Work With VHA Diminished by Contracting Burdens

ObjectivesThe Veterans Health Administration (VHA) purchases community nursing home care; however, the administrative burden may lead nursing homes to avoid contracting with the VHA. This study aimed to describe how the VHA's purchasing policies impede or facilitate contracting with nursing homes.DesignSemistructured interviews of key stakeholders in the VHA's community nursing home contracting process.Setting and ParticipantsWe interviewed 15 VHA and 21 nursing home staff at 6 VHA medical centers and 17 nursing homes. VHA medical centers were selected from sites with the greatest magnitude of difference in quality rankings between VHA contracted and noncontracted nursing homes in the same market area.MethodsQualitative content analysis of interviews.ResultsFive themes emerged: (1) VHA purchases nursing home care to fill gaps in geographic, specialty, and quality care needs; (2) business opportunities and the mission to care for Veterans motivate nursing homes to work with the VHA; (3) the VHA's reputation for unreliable or insufficient payment and inability of nursing homes to comply with federal wage standards serve as barriers to establishing contracts; (4) complexity of establishing a contract, ambiguity about new policies, and inadequate VHA staffing for the nursing home inspection team hinder the VHA's ability to establish contracts with nursing homes; and (5) nursing homes that have established corporate processes, nursing home administrators with prior experience working with the VHA, and relationships between VHA and nursing home staff serve as facilitators to establishing new nursing home contracts.Conclusions and ImplicationsNursing homes will work with the VHA, but the process of executing VHA contracts is burdensome. Streamlining and standardizing the purchasing processes and ensuring timely payment may expand the number of nursing homes willing to contract with the VHA, thereby increasing choices for Veterans and becoming a model for other long-term care networks.     

Organizational Characteristics and Cancer Care for Nursing Home Residents

Objective. We evaluate whether organization, market, policy, and resident characteristics are related to cancer care processes and outcomes for dually eligible residents of Michigan nursing homes who entered facilities without a cancer diagnosis but subsequently developed the disease. Data Sources/Study Design/Data Collection. Using data from the Michigan Tumor Registry (1997–2000), Medicare claims, Medicaid cost reports, and the Area Resource File, we estimate logistic regression models of diagnosis at or during the month of death and receipt of pain medication during the month of or month after diagnosis. Principal Findings. Approximately 25 percent of the residents were diagnosed at or near death. Only 61 percent of residents diagnosed with late or unstaged cancer received pain medication during the diagnosis month or the following month. Residents in nursing homes with lower staffing and in counties with fewer hospital beds were more likely to be diagnosed at death. After the Balanced Budget Act (BBA), residents were more likely to be diagnosed at death. Conclusions. Nursing home characteristics and community resources are significantly related to the cancer care residents receive. The BBA was associated with an increased likelihood of later diagnosis of cancer.     

Effect of a Video-Assisted Advance Care Planning Intervention on End-of-Life Health Care Transitions Among Long-Stay Nursing Home Residents

ObjectiveTo determine the relationship between an advance care planning (ACP) video intervention, Pragmatic Trial of Video Education in Nursing Homes (PROVEN), and end-of-life health care transitions among long-stay nursing home residents with advanced illness.DesignPragmatic cluster randomized clinical trial. Five ACP videos were available on tablets or online at intervention facilities. PROVEN champions employed by nursing homes (usually social workers) were directed to offer residents (or their proxies) ≥1 video under certain circumstances. Control facilities employed usual ACP practices.Setting and ParticipantsPROVEN occurred from February 2016 to May 2019 in 360 nursing homes (119 intervention, 241 control) owned by 2 health care systems. This post hoc study of PROVEN data analyzed long-stay residents ≥65 years who died during the trial who had either advanced dementia or cardiopulmonary disease (advanced illness). We required an observation time ≥90 days before death. The analytic sample included 923 and 1925 advanced illness decedents in intervention and control arms; respectively.MethodsOutcomes included the proportion of residents with 1 or more hospital transfer (ie, hospitalization, emergency department use, or observation stay), multiple (≥3) hospital transfers during the last 90 days of life, and late transitions (ie, hospital transfer during the last 3 days or hospice admission on the last day of life).ResultsHospital transfers in the last 90 days of life among decedents with advanced illness were significantly lower in the intervention vs control arm (proportion difference = ?1.7%, 95% CI –3.2%, ?0.1%). The proportion of decedents with multiple hospital transfers and late transitions did not differ between the trial arms.Conclusions and ImplicationsVideo-assisted ACP was modestly associated with reduced hospital transfers in the last 90 days of life among nursing home residents with advanced illness. The intervention was not significantly associated with late health care transitions and multiple hospital transfers.     

Nursing Home Star Ratings and New Onset of Depression in Long-Stay Nursing Home Residents

ObjectivesTo examine the association between nursing home (NH) quality and new onset of depression and severity of depressive symptoms in a national cohort of long-stay NH residents in the United States.DesignCohort study.Setting and participants129,837 long-stay residents without indicators of depression admitted to 13,921 NHs.MethodsNH quality was measured by Nursing Home Compare star ratings (overall, health inspection, staffing, quality measures) closest to admission. Study outcomes at 90 days from the Minimum Data Set 3.0 included depression diagnosis and severity of depressive symptoms (minimal; mild; moderate; moderately severe/severe). Symptoms were measured by resident self-report Patient Health Questionnaire (PHQ-9) or a staff-report observational version (PHQ-9-OV). Logistic and multinomial logistic models with generalized estimating equations were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs).ResultsAt 90 days postadmission, 14.1% of residents had a new diagnosis of depression, and odds did not differ across star ratings. Nearly 90% of these residents had minimal depressive symptoms, with only 8.5% reporting mild symptoms and 2.6% with moderate to severe symptoms. Using minimal depressive symptoms as the reference, residents in NHs with 5-star overall ratings were 12% less likely than those in 3-star NHs to experience mild (95% CI: 0.81-0.96) and 31% less likely to experience moderate symptoms (95% CI: 0.58-0.82). In NHs with 1-star staffing compared to 3-star, residents had 37% higher odds of moderate symptoms (95% CI: 1.14-1.64) and 57% higher odds of moderately severe to severe depressive symptoms (95% CI: 1.17-2.12). The odds of any above-minimal depressive symptoms decreased as quality measure ratings increased.Conclusions/ImplicationsLower NH quality ratings were associated with more severe depressive symptoms. Further investigation is warranted to identify potential mechanisms for a targeted intervention to improve quality and provide more equitable care.     

Beyond Section Q: Prioritizing Nursing Home Residents for Transition to the Community

ABSTRACT: BACKGROUND: Nursing Facility Transition (NFT) programs often rely on self-reported preference for discharge to the community, as indicated in the Minimum Data Set (MDS) Section Q, to identify program participants. We examined other characteristics of long-stay residents discharged from nursing facilities by NFT programs, to "flag" similar individuals for outreach in the Money Follows the Person (MFP) initiative. METHODS: Three states identified persons who transitioned between 2001 and 2009 with the assistance of a NFT or MFP program. These were used to locate each participant's MDS 2.0 assessment just prior to discharge and to create a control sample of non-transitioned residents. Logistic regression and Automatic Interactions Detection were used to compare the two groups. RESULTS: Although there was considerable variation across states in transitionees' characteristics, a derived "Q+ Index", was highly effective in identifying persons similar to those that states had previously transitioned. The Index displays high sensitivity (86.5%) and specificity (78.7%) and identifies 28.3% of all long-stayers for follow-up. The Index can be cross-walked to MDS 3.0 items. CONCLUSIONS: The Q+ Index, applied to MDS 3.0 assessments, can identify a population closely resembling persons who have transitioned in the past. Given the US Government's mandate that states consider all transition requests and the limited staffing available at local contact agencies to address such referrals, this algorithm can also be used to prioritize among persons seeking assistance from local contact agencies and MFP providers.     

The Association Between Quality of Care and Quality of Life in Long-Stay Nursing Home Residents With Preserved Cognition

ObjectivesTo assess the overall quality of life of long-stay nursing home residents with preserved cognition, to examine whether the Centers for Medicare and Medicaid Service's Nursing Home Compare 5-star quality rating system reflects the overall quality of life of such residents, and to examine whether residents' demographics and clinical characteristics affect their quality of life.Design/measurementsQuality of life was measured using the Participant Outcomes and Status Measures—Nursing Facility survey, which has 10 sections and 63 items. Total scores range from 20 (lowest possible quality of life) to 100 (highest).Setting/participantsLong-stay nursing home residents with preserved cognition (n = 316) were interviewed.ResultsThe average quality- of-life score was 71.4 (SD: 7.6; range: 45.1–93.0). Multilevel regression models revealed that quality of life was associated with physical impairment (parameter estimate = −0.728; P = .04) and depression (parameter estimate = −3.015; P = .01) but not Nursing Home Compare's overall star rating (parameter estimate = 0.683; P = .12) and not pain (parameter estimate = −0.705; P = .47).ConclusionThe 5-star quality rating system did not reflect the quality of life of long-stay nursing home residents with preserved cognition. Notably, pain was not associated with quality of life, but physical impairment and depression were.     

Factors Associated With Low and High Social Engagement Among Older Nursing Home Residents in Korea

ObjectivesWith the increase in older adults receiving long-term care in facilities, the level of social engagement within nursing homes is a growing concern for improving the quality of life of residents. This study seeks to assess the level of social engagement and identify the factors associated with high and low engagement among older adults in Korean nursing homes.DesignCross-sectional study.Setting and ParticipantsData were obtained from a nationally representative sample of 1453 older residents in 92 long-term care facilities across Korea.MethodsMultilevel-multivariate analyses were carried out to identify individual- and institution-level risk factors of social engagement, as measured by the Revised Index of Social Engagement (RISE).ResultsThree-fourths of older residents had a low level of social engagement, whereas only about one tenth showed a high level of social engagement. Being male, having severe functional impairments, having depression, and having no supportive family relationships were risk factors for low social engagement. Conversely, a high level of social engagement was significantly associated with being female, having no impairments, and a longer length of stay. Meeting staffing requirements for personal care assistants, an institution-level factor, was negatively associated with low social engagement and positively associated with high social engagement.Conclusions and ImplicationsLow social engagement is very common in Korean nursing homes and is concentrated among those with poor functional and social outcomes. Future efforts to improve long-term care will need to address the various factors associated with social engagement in designing social care for nursing home residents.     

Staff Training Interventions to Improve End-of-Life Care of Nursing Home Residents: A Systematic Review

ObjectivesThe aim was to review evidence from all randomized controlled trials (RCTs) using palliative care education or staff training as an intervention to improve nursing home residents' quality of life (QOL) or quality of dying (QOD) or to reduce burdensome hospitalizations.DesignA systematic review with a narrative summary.Setting and ParticipantsResidents in nursing homes and other long-term care facilities.MethodsWe searched MEDLINE, CINAHL, PsycINFO, the Cochrane Library, Scopus, and Google Scholar, references of known articles, previous reviews, and recent volumes of key journals. RCTs were included in the review. Methodologic quality was assessed.ResultsThe search yielded 932 articles after removing the duplicates. Of them, 16 cluster RCTs fulfilled inclusion criteria for analysis. There was a great variety in the interventions with respect to learning methods, intensity, complexity, and length of staff training. Most interventions featured other elements besides staff training. In the 6 high-quality trials, only 1 showed a reduction in hospitalizations, whereas among 6 moderate-quality trials 2 suggested a reduction in hospitalizations. None of the high-quality trials showed effects on residents' QOL or QOD. Staff reported an improved QOD in 1 moderate-quality trial.Conclusions and ImplicationsIrrespective of the means of staff training, there were surprisingly few effects of education on residents' QOL, QOD, or burdensome hospitalizations. Further studies are needed to explore the reasons behind these findings.     

Association Between Clinician Specialization in Nursing Home Care and Nursing Home Clinical Quality Scores

ImportanceWhile the number of prescribing clinicians (physicians and nurse practitioners) who provide any nursing home care remained stable over the past decade, the number of clinicians who focus their practice exclusively on nursing home care has increased by over 30%.ObjectivesTo measure the association between regional trends in clinician specialization in nursing home care and nursing home quality.DesignRetrospective cross-sectional study.Setting and ParticipantsPatients treated in 15,636 nursing homes in 305 US hospital referral regions between 2013 and 2016.MeasuresClinician specialization in nursing home care for 2012–2015 was measured using Medicare fee-for-service billings. Nursing home specialists were defined as generalist physicians (internal medicine, family medicine, geriatrics, and general practice) or advanced practitioners (nurse practitioners and physician assistants) with at least 90% of their billings for care in nursing homes. The number of clinicians was aggregated at the hospital referral region level and divided by the number of occupied Medicare-certified nursing home beds. Nursing Home Compare quality measure scores for 2013–2016 were aggregated at the HHR level, weighted by occupied beds in each nursing home in the hospital referral region. We measured the association between the number of nursing home specialists per 1000 beds and the clinical quality measure scores in the subsequent year using linear regression.ResultsAn increase in nursing home specialists per 1000 occupied beds in a region was associated with lower use of long-stay antipsychotic medications and indwelling bladder catheters, higher prevalence of depressive symptoms, and was not associated with urinary tract infections, use of restraints, or short-stay antipsychotic use.Conclusions and ImplicationsHigher prevalence of nursing home specialists was associated with regional improvements in 2 of 6 quality measures. Future studies should evaluate whether concentrating patient care among clinicians who specialize in nursing home practice improves outcomes for individual patients. The current findings suggest that prescribing clinicians play an important role in nursing home care quality.     

Transitions From Skilled Nursing Facility to Home: The Relationship of Early Outpatient Care to Hospital Readmission

Background

Many adults are discharged to skilled nursing facilities (SNFs) prior to returning home from the hospital. Patient characteristics and factors that can help to prevent postdischarge adverse outcomes are poorly understood.