Frailty and Time at Home After Post-Acute Care in Skilled Nursing Facilities.

OBJECTIVES: To examine the association of a claims-based frailty index with time at home, defined as the number of days alive and spent out of hospital or skilled nursing facility (SNF). DESIGN: Cohort Study. SETTING AND PARTICIPANTS: A 5% Medicare random sample of fee-for-service beneficiaries, who had continuous part A and B enrollment in the prior 6 months, that were discharged from a short SNF admission in 2014‒2016. METHODS: Frailty was measured with a validated claims-based frailty index (CFI) (range: 0‒1, higher scores indicating worse frailty) and categorized into nonfrail (CFI <0.25), mild frailty (CFI 0.25‒0.34), and moderate-to-severe frailty (CFI ≥0.35). We measured home time in the 6 months following SNF discharge (range: 0‒182 days with higher values representing more days at home and thus a better outcome). We used logistic regression to assess the association between frailty and short home time, defined as <173 days, adjusting for age, sex, race, region, a comorbidity index, clinical SNF admission characteristics in the Minimum Data Set, and SNF characteristics. RESULTS: In our sample of 144,708 beneficiaries (mean age, 80.8 years, 64.9% female, 85.9% white) who were discharged to community after SNF stay, the mean CFI was 0.26 (standard deviation, 0.07). The mean home time was 165.6 (38.1) days in nonfrail, 154.4 (47.4) days in mild frailty, 145.0 (52.0) days in moderate-to-severe frailty group. After full model adjustments, moderate to severe frailty was associated with a 1.71 (95% CI 1.65‒1.78) higher odds of having short time at home in the 6 months following SNF discharge. CONCLUSION AND IMPLICATIONS: Higher CFI is associated with short time at home in Medicare beneficiaries who are discharged to the community after post-acute SNF stay. Our results support the utility of CFI in identifying SNF patients who need additional resources and interventions to prevent health decline and poor quality of life.

Change in a Claims-Based Frailty Index, Mortality, and Health Care Costs in Medicare Beneficiaries.

BACKGROUND: A claims-based frailty index (CFI) allows measurement of frailty on a population scale. Our objective was to examine the association of changes in CFI over 12 months with mortality and Medicare costs. METHODS: We used a 5% sample of fee-for-service Medicare beneficiaries. We estimated CFI (range: 0­1: nonfrail (<0.25), mildly frail (0.25­0.34), moderately-to-severely frail (≥0.35) on January 1, 2015 and January 1, 2016. Beneficiaries were categorized as having a large decrease (-<0.045), small decrease (-≤0.045-0.015), stable (±0.015), small increase (>0.015-0.045), or large increase (>0.045). We used Cox proportional hazards model to estimate hazard ratio (HR) for mortality adjusting for age, sex, and 2015 CFI value and compared total Medicare costs from January 1, 2016 to December 31, 2016. RESULTS: The study population included 995 664 beneficiaries (mean age 77 years, 56.8% female). In nonfrail (n = 906 046), HR (95% confidence interval [CI]) ranged from 0.71 (0.67-0.75) for a large decrease to 2.75 (2.68-2.33) for a large increase. In moderate-to-severely frail beneficiaries (n = 16 527), the corresponding HR (95% CI) ranged from 0.63 (0.57-0.70) to 1.21 (1.06-1.38). The mean total Medicare cost per member per year (standard deviation) was from $12 149 ($83 508) in nonfrail beneficiaries to $61 155 ($345 904) in moderate-to-severely frail beneficiaries. CONCLUSIONS: One-year changes in CFI are associated with elevated mortality risk and health care costs across all levels of frailty.

Analysis of Functional Recovery in Older Adults Discharged to Skilled Nursing Facilities and Then Home.

Importance: Although many older adults are discharged to skilled nursing facilities (SNFs) after hospitalization, rates of patients recovery afterward are unknown. Objective: To examine postacute functional recovery among older adults. Design, Setting, and Participants: This cohort study was conducted among older adults treated in SNFs, then at home with home health care (HHC). Participants were a 5% random sample of Medicare fee-for-service beneficiaries discharged to community HHC after SNF stay from 2014 to 2016 with continuous part A and B enrollment in the prior 6 months. Medicare claims data from 2014 to 2016 were used, including inpatient, SNF, hospice, HHC, outpatient, carrier, and durable medical equipment data and Minimum Data Set (MDS) and Outcome Assessment Information Set (OASIS) for SNF and HHC assessments, respectively. Data were analyzed from July 20, 2020, to June 5, 2022. Exposures: Frailty was measured with a validated claims-based frailty index (CFI) (range, 0-1; higher scores indicate worse frailty) and categorized into not frail (<0.20), mildly frail (0.20-0.29), and moderately to severely frail (≥0.30). Main Outcomes and Measures: The primary outcome was functional recovery, defined by discharge from HHC with stable or improved ability to perform activities of daily living (ADL). Recovery status was examined at 15, 30, 45, 60, 75, and 90 days after discharge to HHC using OASIS. Covariates were obtained from the MDS admission file at SNF admission, including age, race and ethnicity, cognitive status, functional status, and geographic region. Results: Among 105 232 beneficiaries (mean [SD] age, 79.1 [10.6] years; 68 637 [65.2%] women; 8951 Black [8.5%], 3109 Hispanic [3.0%], and 88 583 White [84.2%] individuals), 65 796 individuals (62.5%) were discharged from HHC services with improved function over 90 days of follow-up. Among 39 436 beneficiaries not recovered, 19 612 individuals (49.7%) had mild frailty and 15 818 individuals (40.1%) had moderate to severe frailty. While 10 492 of 17 576 beneficiaries who were not frail recovered by 45 days (59.7%), 10 755 of 32 212 individuals with moderate to severe frailty had recovered (33.4%). Overall, frailty was negatively associated with functional recovery after adjustment for demographic characteristics, geographic census regions, and health-related variables, with a hazard ratio for moderate to severe frailty of 0.62 (95% CI, 0.60-0.63) compared with nonfrailty. Conclusions and Relevance: This study found that recovery after posthospitalization SNF stay was particularly prolonged for individuals with frailty. Functional dependence in activities of daily living remained common among individuals with frailty long after discharge home.

Geriatric Conditions Associated with Nonadherence to Antiretroviral Therapy Among Older People with HIV: The Importance of Frailty.

Poor compliance with medications is a growing concern in geriatric care and is increasingly more relevant among people living with HIV (PLWH) as they age. Our goal was to understand geriatric conditions associated with antiretroviral therapy (ART) nonadherence in a Medicare population of older PLWH. We analyzed Medicare data from PLWH aged 50 years or older who were continuously enrolled in fee-for-service Medicare from January 1, 2014 to June 30, 2015. Prevalent geriatric conditions (dementia, depression, falls, hip fracture, sensory deficits, osteoporosis, orthostatic hypotension, urinary incontinence, frailty) were identified in January 1, 2014-December 31, 2014. ART nonadherence was defined as <80% proportion of days covered (PDC) by at least two ART medications in January 1, 2015-June 30, 2015. We examined geriatric condition association with nonadherence using lowest Akaike Information Criterion multi-variate logistic models, controlling for age, sex, race, census region, substance use, Medicaid eligibility, and polypharmacy. Of 8778 PLWH, 23% (n = 2042) had <80% PDC. The average age was 60 years (standard deviation ±8), and >70% were males. In adjusted models, age was not associated with nonadherence, frailty status was the only geriatric condition associated with nonadherence [robust: reference, prefrail odds ratio (OR): 0.97, confidence interval (95% CI) 0.86-1.10, frail OR: 1.34 95% CI 1.11-1.61], and odds of nonadherence were lower for polypharmacy [OR: 0.48 (0.43-0.54)]. Our findings suggest that patient-centered care plans aimed at improving ART adherence among older PLWH would benefit from long-term surveillance; a deeper understanding of the role of frailty and polypharmacy, even at chronologically younger ages in PLWH.

Categorizing Comorbid Risk for People Living With HIV: A Latent Profile Analysis.

BACKGROUND: Categorizing clinical risk amidst heterogeneous multimorbidity in older people living with HIV/AIDS (PLWH) may help prioritize and optimize health care engagements. METHODS: PLWH and their prevalent conditions in 8 health domains diagnosed before January 1, 2015 were identified using 2014-2016 Medicare claims and the Chronic Conditions Data Warehouse. Latent profile analysis identified 4 distinct clinical subgroups based on the likelihood of conditions occurring together [G1: healthy, G2: substance use (SU), G3: pulmonary (PULM), G4: cardiovascular conditions (CV)]. Restricted mean survival time regression estimated the association of each subgroup with the 365 day mean event-free days until death, first hospitalization, and nursing home admission. Zero-inflated Poisson regression estimated hospitalization frequency in 2-year follow-up. RESULTS: Of 11,196 older PLWH, 71% were male, and the average age was 61 (SD 9.2) years. Compared with healthy group, SU group had a mean of 30 [95% confidence interval: (19.0 to 40.5)], PULM group had a mean of 28 (22.1 to 34.5), and CV group had a mean of 22 (15.0 to 22.0) fewer hospitalization-free days over 1 year. Compared with healthy group (2.8 deaths/100 person-years), CV group (8.4) had a mean of 4 (3.8 to 6.8) and PULM group (7.9) had a mean of 3 (0.7 to 5.5) fewer days alive; SU group (6.0) was not different. There was no difference in restricted mean survival time for nursing home admission. Compared with healthy group, SU group had 1.42-fold [95% confidence interval: (1.32 to 1.54)], PULM group had 1.71-fold (1.61 to 1.81), and CV group had 1.28-fold (1.20 to 1.37) higher rates of hospitalization. CONCLUSION: Identifying clinically distinct subgroups with latent profile analysis may be useful to identify targets for interventions and health care optimization in older PLWH.

Psychoactive medication therapy and delirium screening in skilled nursing facilities.

BACKGROUND: A positive delirium screen at skilled-nursing facility (SNF) admission can trigger a simultaneous diagnosis of Alzheimer's Disease or related dementia (AD/ADRD) and lead to psychoactive medication treatment despite a lack of evidence supporting use. METHODS: This was a nationwide historical cohort study of 849,086 Medicare enrollees from 2011-2013 who were admitted to the SNF from a hospital without a history of dementia. Delirium was determined through positive Confusion Assessment Method screen and incident AD/ADRD through active diagnosis or claims. Cox proportional hazard models predicted the risk of receiving one of three psychoactive medications (i.e., antipsychotics, benzodiazepines, antiepileptics) within 7 days of SNF admission and within the entire SNF stay. RESULTS: Of 849,086 newly-admitted SNF patients (62.6% female, mean age 78), 6.1% had delirium (of which 35.4% received an incident diagnosis of AD/ADRD); 12.6% received antipsychotics, 30.4% benzodiazepines, and 5.8% antiepileptics. Within 7 days of admission, patients with delirium and incident dementia were more likely to receive an antipsychotic (relative risk [RR] 3.09; 95% confidence interval [CI] 2.99 to 3.20), or a benzodiazepine (RR 1.23; 95% CI 1.19 to 1.27) than patients without either condition. By the end of the SNF stay, patients with both delirium and incident dementia were more likely to receive an antipsychotic (RR 3.04; 95% CI 2.95 to 3.14) and benzodiazepine (RR 1.32; 95% CI 1.29 to 1.36) than patients without either condition. CONCLUSION: In this historical cohort, a positive delirium screen was associated with a higher risk of receiving psychoactive medication within 7 days of SNF admission, particularly in patients with an incident AD/ADRD diagnosis. Future research should examine strategies to reduce inappropriate psychoactive medication prescribing in older adults admitted with delirium to SNFs.

Exploring the Association Between the Quality of HIV Care in Nursing Homes and Hospitalization.

ABSTRACT: Persons living with HIV/AIDS (PLWH) are living long enough to need age-related and HIV-related nursing home (NH) care. Nursing home quality of care has been associated with risk for hospitalization, but it is unknown if quality of HIV care in NHs affects hospitalization in this population. We assessed HIV care quality with four national measures adapted for the NH setting. We applied the measures to 2011-2013 Medicare claims linked to Minimum Data Set assessments of resident health, prescription dispensing data, and national reports of NH characteristics. Cox proportional hazards models calculated the risk of all-cause and HIV/AIDS-related hospitalization by HIV care compliance. We identified 1,246 PLWH in 201 NHs with 382 all-cause and 63 HIV/AIDS-related hospitalizations. Nursing home HIV care compliance varied from 24.9% to 64.7%. After regression adjustment, we could detect no difference in all-cause or HIV/AIDS-related hospitalizations by NH HIV care compliance. We postulate that the lack of association may be due to inappropriate HIV care quality measures that do not accurately represent NHs ability to care for PLWH. There is urgent need to create valid NH HIV care quality measures.

Association of Positive Delirium Screening with Incident Dementia in Skilled Nursing Facilities.

BACKGROUND AND OBJECTIVE: Early detection of delirium in skilled nursing facilities (SNFs) is a priority. The extent to which delirium screening leads to a potentially inappropriate diagnosis of Alzheimer's disease and related dementia (ADRD) is unknown. DESIGN: Nationwide retrospective cohort study from 2011 to 2013. SETTING: An SNF. PARTICIPANTS: A total of 1,175,550 Medicare enrollees who entered the SNF from a hospital and had no prior diagnosis of dementia. EXPOSURE: A positive screen for delirium using the validated Confusion Assessment Method (CAM), performed as part of the federally mandated Minimum Data Set (MDS) assessment. MEASUREMENTS: Incident all-cause dementia, ascertained through International Classification of Diseases, Ninth Revision (ICD-9), diagnosis in Medicare claims or active diagnoses in MDS. RESULTS: Positive screening for delirium was identified in 7.7% of cases (n = 90,449), and most occurred within the first 7 days of SNF admission (62.5%). The overall incidence of ADRD was 6.3% (n = 73,542). Nearly all new diagnoses of ADRD (93.5%) occurred within the first 30 days of SNF admission. Patients who screened CAM positive for delirium had a nearly threefold increased risk of receiving an incident ADRD diagnosis on the same day (hazard ratio (HR) = 2.63; 95% confidence interval (CI) = 1.50-4.63). Among patients who screened CAM positive for delirium, those who were cognitively intact or had mild cognitive impairments were, on average, six times more likely to receive an incident ADRD diagnosis (HR = 6.64; 95% CI = 1.76-25.0) relative to those testing CAM negative. CONCLUSION AND RELEVANCE: Among older adults not previously diagnosed with dementia, a positive screen for delirium was significantly associated with higher risk of ADRD diagnosis after admission to a SNF. This risk was highest for patients in the first days of their stay and with the least cognitive impairment, suggesting that the ADRD diagnosis was potentially inappropriate.

Assessing the Quality of Human Immunodeficiency Virus Care in Nursing Homes.

BACKGROUND: Quality of human immunodeficiency virus (HIV) care in nursing homes (NHs) has never been measured. DESIGN: A cross-sectional study. SETTING: NHs. PARTICIPANTS: A total of 203 NHs and 1375 persons living with HIV. MEASUREMENTS: Medicare claims from 2011 to 2013 were linked to assessments of resident health, prescription dispensing data, and national reports of NH characteristics. Five nationally validated HIV care quality measures (prescription of antiretroviral therapy; CD4/viral load monitoring; frequency of medical visits; gaps in medical visits; and Pneumocystis pneumonia prophylaxis) were adapted and applied to NHs. Logistic regression predicted compliance by organizational factors. Random intercept logistic regression predicted if persons living with HIV received care by person and organizational factors. RESULTS: Compliance ranged from 43.3% (SD = 31.1%) for CD4/viral load monitoring to 92.4% (SD = 13.6%) for gaps in medical visits. More substantiated complaints against an NH decreased the likelihood of high compliance with CD4/viral load monitoring (odds ratio [OR] = 0.846; 95% confidence interval [CI] = 0.726-0.986), while NH-reported incidents increased the likelihood of high compliance with pneumocystis pneumonia prophylaxis (OR = 1.173; 95% CI = 1.044-1.317). Differences between NHs explained 21.2% or less of variability in receipt of care. CONCLUSIONS: Since 2013, the population with HIV and NH HIV care quality has inevitably evolved; however, this study provides previously unknown baseline metrics on NH HIV care quality and highlights significant challenges when measuring HIV care in NHs. J Am Geriatr Soc 68:1226-1234, 2020.

Economic Barriers to Antiretroviral Therapy in Nursing Homes.

OBJECTIVES: Our aim was to clarify if persons living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) have adequate economic access to antiretroviral therapy (ART) when admitted to nursing homes (NHs). Medicare Part A pays NHs a bundled skilled nursing rate that includes prescription drugs for up to 100 days, after which individuals are responsible for the costs. DESIGN: A cross-sectional study. SETTING: NHs. PARTICIPANTS: A total of 694 newly admitted long-stay (>100 d) NH residents with HIV. MEASUREMENTS: We used Minimum Dataset v.3.0, pharmacy dispensing data, NH provider surveys, and Medicare claims from 2011 to 2013. We assessed receipt of any HIV antiretrovirals or recommended combinations (ART), as defined by national care guidelines, and the source of payment. We identified predictors of antiretroviral use with risk-adjusted generalized estimating equation logistic models. RESULTS: All study persons living with HIV/AIDS in NHs had prescription drug coverage through Medicare's Part D program, and ART was 100% covered. However, only 63.9% received recommended ART, and 15.2% never received any antiretrovirals during their NH stay. The strongest predictor of not receiving antiretrovirals was the first 100 days of a long NH stay (odds ratio [OR] = .44; 95% confidence interval [CI] = .24-.80). The strongest predictor of receiving recommended ART was health acuity (OR = 1.51; 95% CI = 1.20-1.88). CONCLUSION: People living with HIV in NHs do not always receive lifesaving ART, but the reasons are unclear and appear unrelated to economic barriers. J Am Geriatr Soc 68:777-782, 2020.

People Living With HIV in U.S. Nursing Homes in the Fourth Decade of the Epidemic.

As the number of persons living with HIV (PLWH) will continue to increase in the coming years, it is critical to understand factors influencing appropriate nursing home (NH) care planning. This study described the sociodemographic characteristics as well as the antiretroviral therapy treatment and physical and mental health among Medicare-eligible PLWH in NHs. Persons living with HIV were identified and summarized using a 2011-2013 nationwide data set of Medicare claims linked to NH resident health assessments and a prescription dispensing database, comparing new admissions in 2011-2013 with those from 1998 to 2000. We identified 7,188 PLWH from 2011 to 2013 in NHs of whom 4,031 were newly admitted. Of the total, 79% were prescribed antiretroviral therapy. Most were male (73%), Black/African American (51.1%), and a plurality resided in southern NHs (47%). Comparing the data sets, new admissions were older (60 vs. 44), had higher prevalence of viral hepatitis (16.2% vs. 7.5%), and anemia (31.1% vs. 25.1%) but had less pneumonia (11.0% vs. 13.6%) and dementia (8.7% vs. 21.0%). NH nurses can better anticipate health care needs of PLWH using these health profiles, understanding that there have been changes in the health of PLWH at admission over time.