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Background: Central nervous system (CNS) medications are linked to higher morbidity and mortality in older adults. Hospitalization allows for deprescribing opportunities. This qualitative study investigates clinician and patient perspectives on CNS medication deprescribing during hospitalization using a behavioral change framework, aiming to inform interventions and identify recommendations to enhance hospital deprescribing processes. Methods: This qualitative study focused on hospitalists, primary care providers, pharmacists, and patients aged ≥60 years hospitalized on a general medicine service and prescribed ≥1 CNS medications. Using semi‐structured interviews and focus groups, we aimed to evaluate patient medication knowledge, prior deprescribing experiences, and decision‐making preferences, as well as provider processes and tools for medication evaluation and deprescribing. Rapid qualitative analysis applying the Capability, Opportunity, Motivation, and Behavior (COM‐B) framework revealed themes influencing deprescribing behavior in patients and providers. Results: A total of 52 participants (20 patients and 32 providers) identified facilitators and barriers across deprescribing steps and generated recommended strategies to address them. Clinicians and patients highlighted the opportunity for CNS medication deprescribing during hospitalizations, facilitated by multidisciplinary teams enhancing clinicians' capability to make medication changes. Both groups also stressed the importance of intensive patient engagement, education, and monitoring during hospitalizations, acknowledging challenges in timing and extent of deprescribing, with some patients preferring decisions deferred to outpatient clinicians. Hospitalist and pharmacist recommendations centered on early pharmacist involvement for medication reconciliation, expanding pharmacy consultation and clinician education on deprescribing, whereas patients recommended enhancing shared decision‐making through patient education on medication adverse effects, tapering plans, and alternatives. Hospitalists and PCPs also emphasized standardized discharge instructions and transitional care calls to improve medication review and feedback during care transitions. Conclusions: Clinicians and patients highlighted the potential advantages of hospital interventions for CNS medication deprescribing, emphasizing the necessity of addressing communication, education, and coordination challenges between inpatient and outpatient settings. [ABSTRACT FROM AUTHOR]

Background: Gold standard dementia assessments are rarely available in large real‐world datasets, leaving researchers to choose among methods with imperfect but acceptable accuracy to identify nursing home (NH) residents with dementia. In healthcare claims, options include claims‐based diagnosis algorithms, diagnosis indicators, and cognitive function measures in the Minimum Data Set (MDS), but few studies have compared these. We evaluated the proportion of NH residents identified with possible dementia and concordance of these three. Methods: Using a 20% random sample of 2018–2019 Medicare beneficiaries, we identified MDS admission assessments for non‐skilled NH stays among individuals with continuous enrollment in Medicare Parts A, B, and D. Dementia was identified using: (1) Chronic Conditions Warehouse (CCW) claims‐based algorithm for Alzheimer's disease and non‐Alzheimer's dementia; (2) MDS active diagnosis indicators for Alzheimer's disease and non‐Alzheimer's dementias; and (3) the MDS Cognitive Function Scale (CFS) (at least mild cognitive impairment). We compared the proportion of admissions with evidence of possible dementia using each criterion and calculated the sensitivity, specificity, and agreement of the CCW claims definition and MDS indicators for identifying any impairment on the CFS. Results: Among 346,013 non‐SNF NH admissions between 2018 and 2019, 57.2% met criteria for at least one definition (44.7% CFS, 40.7% CCW algorithm, 26.0% MDS indicators). The MDS CFS uniquely identified the greatest proportion with evidence of dementia. The CCW claims algorithm had 63.7% sensitivity and 78.1% specificity for identifying any cognitive impairment on the CFS. Active diagnosis indicators from the MDS had lower sensitivity (47.0%), but higher specificity (91.0%). Conclusions: Claims‐ and MDS‐based methods for identifying NH residents with possible dementia have only partial overlap in the cohorts they identify, and neither is an obvious gold standard. Future studies should seek to determine whether additional functional assessments from the MDS or prescriptions can improve identification of possible dementia in this population. [ABSTRACT FROM AUTHOR]

Purpose of the studyPostmenopausal osteoporosis can impact quality-of-life even prefracture. To determine whether osteoporosis should be a greater concern in women Veterans versus non-Veterans, we compared fracture rates and bone mineral density (BMD) for Veterans and non-Veterans using Women's Health Initiative data.Design and methodsIn this cohort study, participants were women aged 50-79 years. Outcomes were hip, central body, and limb fractures occurring during up to 19 years of follow-up and hip, spine, and whole body BMD collected three times over a 6-year period in a participant subsample. Covariates comprised risk factors for fracture, including fall history and other components of the World Health Organization Fracture Risk Assessment Tool (FRAX). Cox Proportional Hazards models were used to examine fracture rates for Veterans compared with non-Veterans.ResultsOf 161,808 women, 145,521 self-identified as Veteran (n = 3,719) or non-Veteran (n = 141,802). Baseline FRAX scores showed that Veterans had higher 10-year probabilities for any major fracture (13.3 vs 10.2; p < .01) and hip fracture (4.1 vs 2.2; p < .01) compared with non-Veterans. The age-adjusted rate of hip fracture per 1,000 person-years for Veterans was 3.3 versus 2.4 for non-Veterans (p < .01). After adjustment, the hazards ratio for hip fracture was 1.24 (95% confidence interval 1.03-1.49) for Veterans versus non-Veterans. Hazards ratios at other anatomic sites did not differ by Veteran status. Mean BMD at baseline and at Years 3 and 6 also did not differ by Veteran status at any site.ImplicationsWomen Veterans had an increased hip fracture rate not explained by differences in well-recognized fracture risk factors.

This study describes the availability of physical activity information in the electronic health record, explores how electronic health record documentation correlates with accelerometer-derived physical activity data, and examines whether measured physical activity relates to venous thromboembolism (VTE) prophylaxis use. Prospective observational data comes from community-dwelling older adults admitted to general medicine (n = 65). Spearman correlations were used to examine association of accelerometer-based daily step count with documented walking distance and with duration of VTE prophylaxis. Only 52% of patients had documented walking in nursing and/or physical therapy/occupational therapy notes during the first three hospital days. Median daily steps recorded via accelerometer was 1,370 (interquartile range = 854, 2,387) and correlated poorly with walking distance recorded in physical therapy/occupational therapy notes (median 33 feet/day [interquartile range = 12, 100]; r =.24; p =.27). Activity measures were not associated with use or duration of VTE prophylaxis. VTE prophylaxis use does not appear to be directed by patient activity, for which there is limited documentation. [ABSTRACT FROM AUTHOR]