THEMIS is a substrate and allosteric activator of SHP1, playing dual roles during T cell development.

THEMIS plays an indispensable role in T cells, but its mechanism of action has remained highly controversial. Using the systematic proximity labeling methodology PEPSI, we identify THEMIS as an uncharacterized substrate for the phosphatase SHP1. Saturated mutagenesis assays and mass spectrometry analysis reveal that phosphorylation of THEMIS at the evolutionally conserved Tyr34 residue is oppositely regulated by SHP1 and the kinase LCK. Similar to THEMIS-/- mice, THEMISY34F/Y34F knock-in mice show a significant decrease in CD4 thymocytes and mature CD4 T cells, but display normal thymic development and peripheral homeostasis of CD8 T cells. Mechanistically, the Tyr34 motif in THEMIS, when phosphorylated upon T cell antigen receptor activation, appears to act as an allosteric regulator, binding and stabilizing SHP1 in its active conformation, thus ensuring appropriate negative regulation of T cell antigen receptor signaling. However, cytokine signaling in CD8 T cells fails to elicit THEMIS Tyr34 phosphorylation, indicating both Tyr34 phosphorylation-dependent and phosphorylation-independent roles of THEMIS in controlling T cell maturation and expansion.

Home time and state regulations among Medicare beneficiaries in assisted living communities.

BACKGROUND: Home time is an important patient-centric quality metric, which has been largely unexamined among assisted living (AL) residents. Our objectives were to assess variation in home time among AL residents in the year following admission and to examine the associations with state regulations for direct care workers (DCW) training and staffing and for licensed nurse staffing. METHODS: Medicare beneficiaries who entered AL communities in 2018 were identified, and their home time in the year following admission was measured. Home time was calculated as the percentage of time spent at home per day being alive. Resident characteristics and state regulations in DCW staffing, DCW training, and licensed staffing were measured. We used a multivariate linear regression model with AL-level fixed effects to estimate the relationship between person-level characteristics and home time. Linear regression models adjusting for resident characteristics were used to estimate the association between state regulations and residents' home time. RESULTS: The study sample included 59,831 new Medicare beneficiary residents in 12,143 ALs. In the year following AL admission, residents spent 94% (standard deviation = 14.6) of their time at home. Several resident characteristics were associated with lower home time: Medicare-Medicaid dual eligibility, having more chronic conditions, and specific chronic conditions, for example, dementia. In states with greater regulatory specificity for DCW training and staffing, and lower specificity for licensed staffing, residents had longer adjusted home time. CONCLUSION/IMPLICATIONS: Home time varied substantially among AL residents depending on resident characteristics and state-level regulatory specificity. AL residents eligible for Medicare and Medicaid had substantially shorter home time than the Medicare-only residents, largely due to longer time spent in nursing homes. State AL regulatory specificity for DCWs and licensed staff also impacted AL residents' home time. These findings may guide AL operators and state legislators in efforts to improve this important quality of life metric.

Challenges in Deprescribing among Older Adults in Post-Acute Care Transitions to Home.

OBJECTIVES: Medications with a higher risk of harm or that are unlikely to be beneficial are used by nearly all older patients in home health care (HHC). The objective of this study was to understand stakeholders' perspectives on challenges in deprescribing these medications for post-acute HHC patients. DESIGN: Qualitative individual interviews were conducted with stakeholders involved with post-acute deprescribing. SETTING AND PARTICIPANT: Older HHC patients, HHC nurses, pharmacists, and primary/acute care/post-acute prescribers from 9 US states participated in individual qualitative interviews. MEASURES: Interview questions were focused on the experience, processes, roles, training, workflow, and challenges of deprescribing in hospital-to-home transitions. We used the constant comparison approach to identify and compare findings among patient, prescriber, and pharmacist and HHC nurse stakeholders. RESULTS: We interviewed 9 older patients, 11 HHC nurses, 5 primary care physicians (PCP), 3 pharmacists, 1 hospitalist, and 1 post-acute nurse practitioner. Four challenges were described in post-acute deprescribing for HHC patients. First, PCPs' time constraints, the timing of patient encounters after hospital discharge, and the lack of prioritization of deprescribing make it difficult for PCPs to initiate post-acute deprescribing. Second, patients are often confused about their medications, despite the care team's efforts in educating the patients. Third, communication is challenging between HHC nurses, PCPs, specialists, and hospitalists. Fourth, the roles of HHC nurses and pharmacists are limited in care team collaboration and discussion about post-acute deprescribing. CONCLUSIONS AND IMPLICATIONS: Post-acute deprescribing relies on multiple parties in the care team yet it has challenges. Interventions to align the timing of deprescribing and that of post-acute care visits, prioritize deprescribing and allow clinicians more time to complete related tasks, improve medication education for patients, and ensure effective communication in the care team with synchronized electronic health record systems are needed to advance deprescribing during the transition from hospital to home.

Emotional barriers and facilitators of deprescribing for older adults with cancer and polypharmacy: a qualitative study.

PURPOSE: To describe emotional barriers and facilitators to deprescribing (the planned reduction or discontinuation of medications) in older adults with cancer and polypharmacy. METHODS: Virtual focus groups were conducted over Zoom with 5 key informant groups: oncologists, oncology nurses, primary care physicians, pharmacists, and patients. All groups were video- and audio-recorded and transcribed verbatim. Focus group transcripts were analyzed using inductive content analysis, and open coding was performed by two coders. A codebook was generated based on the initial round of open coding and updated throughout the analytic process. Codes and themes were discussed for each transcript until consensus was reached. Emotion coding (identifying text segments expressing emotion, naming the emotion, and assigning a label of positive or negative) was performed by both coders to validate the open coding findings. RESULTS: All groups agreed that polypharmacy is a significant problem. For clinicians, emotional barriers to deprescribing include fear of moral judgment from patients and colleagues, frustration toward patients, and feelings of incompetence. Oncologists and patients expressed ambivalence about deprescribing due to role expectations that physicians "heal with med[ication]s." Emotional facilitators of deprescribing included the involvement of pharmacists, who were perceived to be neutral, discerning experts. Pharmacists described emotionally aware communication strategies when discussing deprescribing with other clinicians and expressed increased awareness of patient context. CONCLUSION: Deprescribing can elicit strong and predominantly negative emotions among clinicians and patients which could inhibit deprescribing interventions. The involvement of pharmacists in deprescribing interventions could mitigate these emotional barriers. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05046171 . Date of registration: September 16, 2021.

Antipsychotic use among older patients with dementia receiving home health care services: Prevalence, predictors, and outcomes.

BACKGROUND: Antipsychotic use is a safety concern among older patients in home health care (HHC), particularly for those with Alzheimer's disease and related dementias (ADRD). The objective of this study was to examine the prevalence and predictors of antipsychotic use among older adults with and without ADRD who received HHC, and the association of antipsychotic use with outcomes among patients living with ADRD. METHODS: In this secondary analysis of adults ≥65 years receiving care from an HHC agency in New York in 2019 (N = 6684), we used data from the Outcome and Assessment Information Set, Medicare HHC claims, and home medication review results in the electronic HHC records during a 60-day HHC episode. ADRD was identified by diagnostic codes. Functional outcome was the change in the composite activities of daily living (ADL) score from HHC admission to HHC discharge (measured in 5833 patients), where a positive score means improvement and a negative score means decline. Data were analyzed using logistic (predictors) and linear regression (association with outcome) analyses. RESULTS: The point prevalence of antipsychotic use was 17.2% and 6.6% among patients with and without ADRD, respectively. Among patients living with ADRD, predictors of antipsychotic use included having greater ADL limitations (odds ratio [OR] = 1.30, p = 0.01), taking more medications (OR = 1.04, p = 0.02), having behavioral and psychological symptoms (OR = 5.26, p = 0.002), and living alone (OR = 0.52, p = 0.06). Among patients living with ADRD, antipsychotic use was associated with having less ADL improvement at HHC discharge (ß = -0.70, p < 0.001). CONCLUSIONS: HHC patients living with ADRD were more likely to use antipsychotics and to experience worse functional outcomes when using antipsychotics. Antipsychotics should be systematically reviewed and, if contraindicated or unnecessary, deprescribed. Efforts are needed to improve HHC patients' access to nonpharmacological interventions and to provide education for caregivers regarding behavioral approaches to manage symptoms in ADRD.

How to Deprescribe Potentially Inappropriate Medications During the Hospital-to-Home Transition: Stakeholder Perspectives on Essential Tasks.

PURPOSE: Nearly all older patients receiving postacute home health care (HHC) use potentially inappropriate medications (PIMs) that carry a risk of harm. Deprescribing can reduce and optimize the use of PIMs, yet it is often not conducted among HHC patients. The objective of this study was to gather perspectives from patient, practitioner, and HHC clinician stakeholders on tasks that are essential to postacute deprescribing in HHC. METHODS: A total of 44 stakeholders, including 14 HHC patients, 15 practitioners (including 9 primary care physicians, 4 pharmacists, 1 hospitalist, and 1 nurse practitioner), and 15 HHC nurses, participated. The stakeholders were from 12 US states, including New York (n = 29), Colorado (n = 2), Connecticut (n = 1), Illinois (n = 2), Kansas (n = 2), Massachusetts (n = 1), Minnesota (n = 1), Mississippi (n = 1), Nebraska (n = 1), Ohio (n = 1), Tennessee (n = 1), and Texas (n = 2). First, individual interviews were conducted by experienced research staff via video conference or telephone. Second, the study team reviewed all interview transcripts and selected interview statements regarding stakeholders' suggestions for important tasks needed for postacute deprescribing in HHC. Third, concept mapping was conducted in which stakeholders sorted and rated selected interview statements regarding importance and feasibility. A content analysis was conducted of data collected in the individual interviews, and a mixed-method analysis was conducted of data collected in the concept mapping. FINDINGS: Four essential tasks were identified for postacute deprescribing in HHC: (1) ongoing review and assessment of medication use, (2) patent-centered and individualized plan of deprescribing, (3) timely and efficient communication among members of the care team, and (4) continuous and tailored medication education to meet patient needs. Among these tasks, developing patient-centered deprescribing considerations was considered the most important and feasible, followed by medication education, review and assessment of medication use, and communication. IMPLICATIONS: Deprescribing during the transition of care from hospital to home requires the following: continuous medication education for patients, families, and caregivers; ongoing review and assessment of medication use; patient-centered deprescribing considerations; and effective communication and collaboration among the primary care physician, HHC nurse, and pharmacist.

Assisted living or nursing home: Who is moving in?

BACKGROUND: Despite the rapid growth of assisted living (AL) communities and the increasing similarity between AL and nursing home (NH) populations, little is known about the characteristics of older adults at the time of AL admission and how these characteristics compare to individuals newly admitted to NH from the community. This study examined the individual, facility, and geographic factors associated with new AL admission. METHODS: This retrospective descriptive study used data from the national Medicare enrollment and claims datasets, the Minimum Data Set, and the Medicare Provider Analysis and Review. The study cohort included 158,124 Medicare beneficiaries newly admitted to ALs and 715,261 newly admitted to NHs during 10/2017-10/2019. Multinomial logistic regression analysis and logistic regression analysis were conducted to examine factors associated with new admissions. RESULTS: Demographic, socioeconomic, and health service use characteristics were associated with new admission to long-term care. Specifically, Medicare fee-for-service beneficiaries, those age 75 years and older, male, having one skilled nursing facility (SNF) stay or any hospital stay in the past 6 months are more likely to be newly admitted to AL, whereas those who are dually eligible, racial/ethnic minorities, and having two or more SNF stays in the past 6 months are more likely to be admitted to an NH. CONCLUSION: There are substantial differences between individuals who are newly admitted from the community to AL versus those to NH.

Predictors of Usual and Peak Gait Speed in Community-Dwelling Older Adults With Mild-to-Moderate Alzheimer's Dementia.

Gait speed significantly affects functional status and health outcomes in older adults. This cross-sectional study evaluated cognitive and physical fitness contributors to usual and peak gait speed in persons with Alzheimer's dementia. Multiple hierarchal linear regression was used to obtain squared semipartial correlation coefficients (sr2) and effect sizes (Cohen's ƒ2). Participants (n = 90; 56% male) averaged 77.1 ± 6.6 years of age and 21.8 ± 3.4 on Mini-Mental State Examination. Demographic/clinical, physical fitness, and cognition variables explained 45% and 39% of variance in usual and peak gait speed, respectively. Muscle strength was the only significant contributor to both usual (sr2 = .175; Cohen's ƒ2 = 0.31; p < .001) and peak gait speed (sr2 = .11; Cohen's ƒ2 = 0.18; p < .001). Women who were "slow" walkers (usual gait speed <1.0 m/s) had significantly lower cardiorespiratory fitness and executive functioning compared with "fast" walkers. In conclusion, improving muscle strength may modify gait and downstream health outcomes in Alzheimer's dementia.

Technological Innovations and Data-Driven Support for Older Adults.

Entering a new digital era where novel devices and emerging technologies, including artificial intelligence, are playing an incredible role with significant impact on health and health care delivery, JMIR Aging commits to supporting the community of patients and families, clinicians, and scientists to improve the efficiency, equity, and effectiveness of older adult care through the dissemination of cutting-edge evidence.

Are online reviews of assisted living communities associated with patient-centered outcomes?

BACKGROUND: Existing literature on online reviews of healthcare providers generally portrays online reviews as a useful way to disseminate information on quality. However, it remains unknown whether online reviews for assisted living (AL) communities reflect AL care quality. This study examined the association between AL online review ratings and residents' home time, a patient-centered outcome. METHODS: Medicare beneficiaries who entered AL communities in 2018 were identified. The main outcome is resident home time in the year following AL admission, calculated as the percentage of time spent at home (i.e., not in institutional care setting) per day being alive. Additional outcomes are the percentage of time spent in emergency room, inpatient hospital, nursing home, and inpatient hospice. AL online Google reviews for 2013-2017 were linked to 2018-2019 Medicare data. AL average rating score (ranging 1-5) and rating status (no-rating, low-rating, and high-rating) were generated using Google reviews. Linear regression models and propensity score weighting were used to examine the association between online reviews and outcomes. The study sample included 59,831 residents in 12,143 ALs. RESULTS: Residents were predominately older (average 81.2 years), non-Hispanic White (90.4%), and female (62.9%), with 17% being dually eligible for Medicare and Medicaid. From 2013 to 2017, ALs received an average rating of 4.1 on Google, with a standard deviation of 1.1. Each one-unit increase in the AL's average online rating was associated with an increase in residents' risk-adjusted home time by 0.33 percentage points (p < 0.001). Compared with residents in ALs without ratings, residents in high-rated ALs (average rating ≥4.4) had a 0.64 pp (p < 0.001) increase in home time. CONCLUSIONS: Higher online rating scores were positively associated with residents' home time, while the absence of ratings was associated with reduced home time. Our results suggest that online reviews may be a quality signal with respect to home time.

How "age-friendly" are deprescribing interventions? A scoping review of deprescribing trials.

OBJECTIVE: To assess how age-friendly deprescribing trials are regarding intervention design and outcome assessment. Reduced use of potentially inappropriate medications (PIMs) can be addressed by deprescribing-a systematic process of discontinuing and/or reducing the use of PIMs. The 4Ms-"Medication", "Mentation", "Mobility", and "What Matters Most" to the person-can be used to guide assessment of age-friendliness of deprescribing trials. DATA SOURCE: Published literature. STUDY DESIGN: Scoping review. DATA EXTRACTION METHODS: The literature was identified using keywords related to deprescribing and polypharmacy in PubMed, EMBASE, Web of Science, ProQuest, CINAHL, and Cochrane and snowballing. Study characteristics were extracted and evaluated for consideration of 4Ms. PRINCIPAL FINDINGS: Thirty-seven of the 564 trials identified met the review eligibility criteria. Intervention design: "Medication" was considered in the intervention design of all trials; "Mentation" was considered in eight trials; "Mobility" (n = 2) and "What Matters Most" (n = 6) were less often considered in the design of intervention. Most trials targeted providers without specifying how matters important to older adults and their families were aligned with deprescribing decisions. OUTCOME ASSESSMENT: "Medication" was the most commonly assessed outcome (n = 33), followed by "Mobility" (n = 13) and "Mentation" (n = 10) outcomes, with no study examining "What Matters Most" outcomes. CONCLUSIONS: "Mentation" and "Mobility", and "What Matters Most" have been considered to varying degrees in deprescribing trials, limiting the potential of deprescribing evidence to contribute to improved clinical practice in building an age-friendly health care system.

Implementation considerations of deprescribing interventions: A scoping review.

Over half of older adults experience polypharmacy, including medications that may be inappropriate or unnecessary. Deprescribing, which is the process of discontinuing or reducing inappropriate and/or unnecessary medications, is an effective way to reduce polypharmacy. This review summarizes (1) the process of deprescribing and conceptual models and tools that have been developed to facilitate deprescribing, (2) barriers, enablers, and factors associated with deprescribing, and (3) characteristics of deprescribing interventions in completed trials, as well as (4) implementation considerations for deprescribing in routine practice. In conceptual models of deprescribing, multilevel factors of the patient, clinician, and health-care system are all related to the efficacy of deprescribing. Numerous tools have been developed for clinicians to facilitate deprescribing, yet most require substantial time and, thus, may be difficult to implement during routine health-care encounters. Multiple deprescribing interventions have been evaluated, which mostly include one or more of the following components: patient education, medication review, identification of deprescribing targets, and patient and/or provider communication about high-risk medications. Yet, there has been limited consideration of implementation factors in prior deprescribing interventions, especially with regard to the personnel and resources in existing health-care systems and the feasibility of incorporating components of deprescribing interventions into the routine care processes of clinicians. Future trials require a more balanced consideration of both effectiveness and implementation when designing deprescribing interventions.

Medications Associated With Geriatric Syndromes (MAGS) and Hospitalization Risk in Home Health Care Patients.

OBJECTIVES: Polypharmacy is common in home health care (HHC). This study examined the prevalence of medications associated with geriatric syndromes (MAGS), its predictors, and association with subsequent hospitalization in HHC. DESIGN: Analysis of HHC electronic medical records, the Outcome and Assessment Information Set (OASIS), and Medicare HHC claims. SETTING AND PARTICIPANTS: A total of 6882 adults ≥65 years old receiving HHC in 2019 from a large, not-for-profit home health agency serving multiple counties in New York State. MEASURES: MAGS use was identified from active medications reconciled during HHC visits (HHC electronic medical records). MAGS use was operationalized as count and in quartiles. Hospitalization during the HHC episode was operationalized as a time-to-event variable (ie, number of days from HHC admission to hospitalization). We used regression analyses to identify predictors of MAGS use, and survival analyses to examine the association between MAGS and hospitalization. RESULTS: Nearly all (98%) of the HHC patients used at least 1 MAGS and 41% of all active medications used by the sample were MAGS. More MAGS use was found in HHC patients who were community-referred, taking more medications, and having more diagnoses, depressive symptoms, and functional limitations. Adjusted for covariates, higher MAGS quartiles were not independently associated with the risk of hospitalization, but higher MAGS quartiles combined with multimorbidity (ie, having ≥10 diagnoses) were associated with a 2.3-fold increase in hospitalization risk (hazard ratio 2.24; 95% confidence interval: 1.61-3.13; P < .001), relative to the lowest quartile of MAGS use and having <10 diagnoses. CONCLUSIONS AND IMPLICATIONS: More than 40% of medications taken by HHC patients are MAGS. Multimorbidity and MAGS use collectively increased the risk of hospitalization by up to 2.3 times. HHC clinicians should carefully review patients' medications and use information about MAGS to facilitate discussion about deprescribing with patients and their prescribers.

Pain and the Alzheimer's Disease and Related Dementia Spectrum in Community-Dwelling Older Americans: A Nationally Representative Study.

CONTEXT: Pain is a significant concern among older adults with Alzheimer's disease and related dementias (ADRD). OBJECTIVES: Examine the association between cognitive impairment across the ADRD spectrum and pain assessment and treatment in community-dwelling older Americans. METHODS: This cross-sectional, population-based study included 16,836 community-dwelling participants ≥ 50 years in the 2018 Health and Retirement Study. ADRD, assessed by validated cognitive measures, was categorized into "dementia," "cognitive impairment, no dementia (CIND)" and "intact cognition." Pain assessment included pain presence (often being troubled with pain), pain severity (degree of pain most of the time [mild/moderate/severe]), and pain interference (pain making it difficult to do usual activities). Pain treatment included recent use of over-the-counter pain medications and opioids (past 3 months), and regular intake of prescriptions for pain. RESULTS: Dementia were associated with lower likelihood of reporting pain presence (Odds Ratio [OR]= 0.61, P = 0.01), pain interference (OR = 0.46, P < 0.001), reporting lower pain severity (e.g., moderate vs. no: Relative Risk Ratio = 0.38, P < 0.001), and lower likelihood of receiving pain treatment, that is, recent use of over-the-counter pain medications (OR = 0.60, P = 0.02) and opioids (OR = 0.33, P < 0.001), and regular intake of prescriptions for pain (OR = 0.461, P = 0.002). CIND was associated with reporting lower pain severity (e.g., moderate vs. no: Relative Risk Ratio = 0.75, P = 0.021), lower likelihood of reporting pain interference (OR = 0.79, P = 0.045) and recent over-the-counter pain medication use (OR = 0.74, P = 0.026). CONCLUSION: CIND and dementia increased the risk of under-report and under-treatment of pain. Systematic efforts are needed to improve pain recognition and treatment among older adults with cognitive impairment, regardless of dementia diagnosis.

Post-acute care transitions and outcomes among medicare beneficiaries in assisted living communities.

BACKGROUND: Despite the rapid growth of assisted living (AL) and frequent hospitalizations among AL residents, little is known about their patterns of post-acute care transitions and outcomes. This study examined the post-acute care transitions among AL residents and their association with outcomes in the first 30 and 60 days after hospital discharge. METHODS: This study used data from 2018 national Medicare enrollment and claims datasets, the Minimum Data Set (MDS), and Medicare Provider Analysis and Review (MedPAR) of 104,497 unique Medicare beneficiaries residing in ALs in the U.S. Post-acute care referrals, based on hospital discharge status, to skilled nursing facilities (SNF), home with home health care (HHC), home without HHC, and other settings. Outcomes included 30-day and 60-day hospital readmissions, emergency department (ED) visits, long-stay care nursing home placement, and mortality. Multinomial logistic regression analysis and logistic regression analysis were conducted. RESULTS: The most common post-acute care referral was to SNF (40%), followed by home without HHC (28%), home with HHC (17%), and others (15%). Compared to discharge home without HHC, discharge to SNF was associated with a lower likelihood of ED visits (Odds Ratio = 0.597, p < 0.01) and hospital readmissions (OR = 0.856, p < 0.001), and higher likelihood of long-stay nursing home placement (OR = 11.224, p < 0.01) and mortality (OR = 2.025, p < 0.01). Discharge home with HHC was associated with a higher likelihood of hospital readmissions (OR = 1.148, p < 0.01) and a lower likelihood of long-stay nursing home placement (OR = 0.737, p < 0.05) than discharge home without HHC. The results were similar within the first 30 days as well as 60 days after hospital discharge. CONCLUSIONS: AL residents who are discharged to different post-acute care settings tend to differ in 30-day and 60-day outcomes. At hospital discharge, clinicians and discharge planners should be provided information about the exact type and availability of services at AL to make the most appropriate discharge referrals for AL residents.

Home Health Agencies With More Socially Vulnerable Patients Have Poorer Experience of Care Ratings.

OBJECTIVES: Examine the relationships between dual eligibility and race/ethnicity characteristics of Medicare-Certified Home Health Agencies (CHHAs) and experience of care ratings. METHODS: Analysis of 2017 national Consumer Assessment of Healthcare Providers and Systems and matched datasets of 10,906 CHHAs. RESULTS: CHHAs with higher concentrations of dual-eligible patients were less likely to have high experience of care ratings for all three domains (e.g., for care delivery, quartile 4 vs. 1: odds ratio [OR] = 0.622, p < .001); CHHAs with higher concentrations of racial/ethnic minorities generally were less likely to have high experience of care ratings in care delivery (e.g., Black: quartile 4 vs. 1: OR = 0.418, p<0.001), communication (e.g., Black: quartile 4 vs. 1: OR = 0.316, p<0.001), and specific care issues (e.g., Hispanic: quartile 4 vs. 1: OR = 0.397, p < .001). DISCUSSION: CHHAs with greater concentrations of dual-eligible patients and racial/ethnic minorities were more likely to have poor experience of care ratings.

Pain treatment and functional improvement in home health care: Relationship with dementia.

BACKGROUND: Pain management is important to post-acute functional recovery, yet older persons with Alzheimer's disease and related dementias (ADRD) are often undertreated for pain. The main objectives were (1) to examine the relationship between ADRD and analgesic use among Medicare home health care (HHC) recipients with daily interfering pain, and (2) to examine the impact of analgesic use on functional outcome in patients with and without ADRD. METHODS: We analyzed longitudinal data from the Outcome and Assessment Information Set, Medicare HHC claims, and HHC electronic medical records during a 60-day HHC episode. The sample included 6048 Medicare beneficiaries ≥65 years receiving care from an HHC agency in New York in 2019 who reported daily interfering pain. Analgesic use was assessed during HHC medication reconciliation and included any analgesic, non-opioid analgesic, and opioid. ADRD was identified from ICD-10 codes (HHC claims) and cognitive impairment symptoms (Outcome and Assessment Information Set [OASIS]). Functional outcome was measured as change in the composite Activity of Daily Living (ADL) limitation score in the HHC episode. RESULTS: ADRD was related to a lower likelihood of using any analgesic (odds ratio [OR] = 0.66, 95% confidence interval [CI]: 0.49, 0.90, p = 0.008) and opioids (OR = 0.54, 95% CI: 0.47, 0.62, p < 0.001), but not related to non-opioid analgesic use (OR = 0.94, 95% CI: 0.74, 1.18, p = 0.58). Stratified analyses showed that any analgesic use (ß = -0.43, 95% CI: -0.73, -0.13, p = 0.004) and non-opioid analgesic use (ß = -0.31, 95% CI: -0.56, -0.06, p = 0.016) were associated with greater ADL improvement in patients with ADRD, but not in patients without ADRD. Opioid use was not significantly related to ADL improvement regardless of ADRD status. CONCLUSIONS: HHC patients with ADRD may be undertreated for pain, yet pain treatment is essential for functional improvement in HHC. HHC clinicians and policymakers should ensure adequate pain management for older persons with ADRD for improved functional outcomes.

Care-Partner Support and Hospitalization in Assisted Living During Transitional Home Health Care.

BACKGROUND/OBJECTIVES: Care-partner support affects outcomes among assisted living (AL) residents. Yet, little is known about care-partner support and its effects on hospitalization during post-acute care transitions. This study examined the variation in care-partner support and its impact on hospitalizations among AL residents receiving Medicare home health (HH) services. DESIGN: Analysis of national data from the Outcome and Assessment Information Set, Medicare claims, Area Health Resources File, and the Social Deprivation Index File. SETTING: AL facilities and Medicare HH agencies in the United States. PARTICIPANTS: 741,926 Medicare HH admissions of AL residents in 2017. MEASUREMENTS: Care-partner support during the HH admission was measured based on the type and frequency of assistance from AL staff in seven domains (i.e., activities of daily living (ADL), instrumental ADLs, medication administration, treatment, medical equipment, home safety, and transportation). Care-partner support in each domain was measured as "assistance not needed" (reference group), "Care-partner currently provides assistance," "care-partner need additional training/support to provide assistance" (i.e., inadequate care-partner support), and "care-partner unavailable/unlikely to provide assistance" (i.e., unavailable care-partner support). Outcome was time-to-hospitalization during the HH admission. RESULTS: Among the 741,926 Medicare HH admissions of AL residents, inadequate care-partner support was identified for all seven domains that ranged from 13.1% (for transportation) to 49.8% (for treatment), and care-partner support was unavailable from 0.9% (for transportation) to 11.0% (for treatment). In Cox proportional hazard models adjusted for patient covariates and geography, compared with "assistance not needed", having inadequate and unavailable care-partner support was related to increased risk of hospitalization by 8.9% (treatment (hazard ratio (HR) =1.089, P < .001)) to 41.3% (medication administration (HR =1.413, P < .001)). CONCLUSION: For AL residents receiving HH services, having less care-partner support was related to increased risk of hospitalization, particularly regarding medication administration, medical equipment, and transportation/advocacy.

Cognitive deficit, physical frailty, hospitalization and emergency department visits in later life.

OBJECTIVES: To examine the added effect of having both cognitive deficit and physical frailty, compared to having either one only, on hospitalization and emergency department (ED) visits. METHODS: Data from a population-based study of 3,157 community-dwelling older (≥60 years) Chinese adults in the U.S. were used. Cognitive deficit was measured by the Mini-Mental State Examination (i.e. education-adjusted score: 16 [illiterate], 19 [primary school], and 23 [≥middle school]). Physical frailty was identified using the Short Performance Physical Battery (0-6 out of 15). The numbers of hospitalizations and ED visits in the previous two years were self-reported. RESULTS: In this sample, 12.63% had cognitive deficit alone, 5.95% had physical frailty alone, and 4.26% had both. Compared with participants having neither cognitive deficit nor physical frailty, those having physical frailty alone were 1.5 times as likely to have hospitalizations (Rate Ratio [RR] = 1.52 [1.07, 2.16], p = 0.02) and ED visits (RR = 1.52 [1.07, 2.15], p = 0.02). Having cognitive deficit alone was not significantly related to either outcome. However, having cognitive deficit with existing physical frailty increased the likelihood of both hospitalization (RR = 2.00 [1.36, 2.96], p < 0.001) and ED visits (RR = 2.04 [1.37, 3.03], p < 0.001) to a greater extent than having physical frailty alone. CONCLUSION: Having cognitive deficit alone was not significantly related to the likelihood of hospitalizations or ED visits, however having cognitive deficit with existing physical frailty increased the likelihood of both outcomes to a greater degree than having physical frailty alone. This suggests cognitive deficit and physical frailty have synergistic effects on hospitalizations and ED visits.