The extended impact of the COVID-19 pandemic on long-term care residents in Medicare with frailty or dual Medicaid enrollment.

BACKGROUND: Although many healthcare settings have since returned to pre-pandemic levels of operation, long-term care (LTC) facilities have experienced extended and significant changes to operations, including unprecedented levels of short staffing and facility closures, that may have a detrimental effect on resident outcomes. This study assessed the pandemic's extended effect on outcomes for LTC residents, comparing outcomes 1 and 2 years after the start of the pandemic to pre-pandemic times, with special focus on residents with frailty and dually enrolled in Medicare and Medicaid. METHODS: Using Medicare claims data from January 1, 2018, through December 31, 2022, we ran over-dispersed Poisson models to compare the monthly adjusted rates of emergency department use, hospitalization, and mortality among LTC residents, comparing residents with and without frailty and dually enrolled and non-dually enrolled residents. RESULTS: Two years after the start of the pandemic, adjusted emergency department (ED) and hospitalization rates were lower and adjusted mortality rates were higher compared with pre-pandemic years for all examined subgroups. For example, compared with 2018-2019, 2022 ED visit rates for dually enrolled residents were 0.89 times lower, hospitalization rates were 0.87 times lower, and mortality rates were 1.17 higher; 2022 ED visit rates for frail residents were 0.85 times lower, hospitalization rates were 0.83 times lower, and mortality rates were 1.21 higher. CONCLUSIONS: In 2022, emergency department and hospital utilization rates among long-term residents were lower than pre-pandemic levels and mortality rates were higher than pre-pandemic levels. These findings suggest that the pandemic has had an extended impact on outcomes for LTC residents.

A quick method to customize pictorial blood assessment tools towards better measurement: Method development and validation.

OBJECTIVE: Identification of heavy menstrual bleeding (HMB) cases in primary care settings is often done by using pictorial blood assessment charts (PBAC). The study aims to highlight the challenge of assessing blood loss, to develop a standardized method to efficiently customize a patient-reported pictorial chart, to validate the tool produced with our proposed method, and to demonstrate the feasibility of using PBACs in settings where resources are scarce. MATERIALS AND METHODS: Using blood samples and feedback from 21 women aged 30-51 years, we followed guidelines suggested in the literature, developed a method to produce PBACs for regular, long and night sizes, and had 9 participants testuse them. Linear regression analysis was performed to determine the correlation between participants' scores and menstrual blood weight. RESULTS: The study demonstrated the feasibility of customizing product-sensitive and size-specific pictorial charts by adopting essential steps including collecting menstrual blood with menstrual cups, employing fluid application techniques, and using sanitary pads as icons for easy identification. Linear regression analyses of score versus blood weight showed that the recorded blood weight was around 95% of the scored values (R2 = 0.9428, 0.947, and 0.9508, respectively; p < 0.001). CONCLUSION: Valid patient-reported PBACs created by the proposed method provides an innovative women's healthcare solution to assist HMB identification and reduce health expenditure by preventing risks for HMB related complications in varying economic and technological contexts. Women's participation in tracking menstrual abnormalities may improve health literacy.

Bundled payments lead to quality improvements in hospitals' skilled nursing facility referral networks.

OBJECTIVES: To assess whether hospitals participating in Medicare's Bundled Payments for Care Improvement (BPCI) program for joint replacement changed their referral patterns to favor higher-quality skilled nursing facilities (SNFs). STUDY DESIGN: Retrospective observational study using 2009-2015 inpatient and outpatient claims from a 20% sample of Medicare beneficiaries undergoing joint replacement in US hospitals (N = 146,074) linked with data from Medicare's BPCI program and Nursing Home Compare. METHODS: We ran fixed effect regression models regressing BPCI participation on hospital-SNF referral patterns (number of SNF discharges, number of SNF partners, and SNF referral concentration) and SNF quality (facility inspection survey rating, patient outcome rating, staffing rating, and registered nurse staffing rating). RESULTS: We found that BPCI participation was associated with a decrease in the number of SNF referrals and no significant change in the number of SNF partners or concentration of SNF partners. BPCI participation was associated with discharge to SNFs with a higher patient outcome rating by 0.04 stars (95% CI, 0.04-0.26). BPCI participation was not associated with improvements in discharge to SNFs with a higher facility survey rating (95% CI, -0.03 to 0.11), staffing rating (95% CI, -0.07 to 0.04), or registered nurse staffing rating (95% CI, -0.09 to 0.02). CONCLUSIONS: BPCI participation was associated with lower volume of SNF referrals and small increases in the quality of SNFs to which patients were discharged, without narrowing hospital-SNF referral networks.

A systematic review/meta-analysis of prevalence and incidence rates illustrates systemic underrepresentation of individuals racialized as Asian and/or Asian-American in ADRD research.

We investigate Alzheimer's disease and related dementia (ADRD) prevalence, incidence rate, and risk factors in individuals racialized as Asian and/or Asian-American and assess sample representation. Prevalence, incidence rate, risk factors, and heterogeneity of samples were assessed. Random-effects meta-analysis was conducted, generating pooled estimates. Of 920 records across 14 databases, 45 studies were included. Individuals racialized as Asian and/or Asian-American were mainly from Eastern and Southern Asia, had higher education, and constituted a smaller sample relative to non-Hispanic white cohorts. The average prevalence was 10.9%, ranging from 0.4% to 46%. The average incidence rate was 20.03 (12.01-33.8) per 1000 person-years with a range of 75.19-13.59 (12.89-14.33). Risk factors included physiological, genetic, psychological, behavioral, and social factors. This review underscores the systemic underrepresentation of individuals racialized as Asian and/or Asian-American in ADRD research and the need for inclusive approaches accounting for culture, language, and immigration status. HIGHLIGHTS: There is considerable heterogeneity in the prevalence of ADRD among studies of Asian-Americans. There is limited data on group-specific risk factors for ADRD among Asian-Americans. The average prevalence of (ADRD) among Asian-Americans was found to be 7.4%, with a wide range from 0.5% to 46%.

Alternative Payment Models and Patient-Reported Quality of Preparation for Discharge: A Retrospective Longitudinal Study.

Preparing patients for posthospital care may improve readmission risk. Alternative payment models (APMs) incent hospitals to reduce readmissions by tying payment to outcomes. The impact of APMs on preparation for discharge is not well understood. We assessed whether patient-reported preparation for posthospital care was associated with reduced readmissions, and whether APM participation was associated with improved preparation for posthospital care. We used mixed-effects regression on retrospective (2013-2017) observational data for 2685 U.S. hospitals. We measured patient-reported preparation for posthospital care using the 3-Item Care Transition Measure and readmission using 30-day all-cause risk-adjusted readmissions from Hospital Compare. Participation in accountable care organizations (ACOs), Medical Homes, and Medicare's Bundled Payments for Care Improvement program was obtained from Medicare, the American Hospital Association's Annual Survey, and Leavitt Partner's ACO database. We found that APMs are not associated with improved preparation for posthospital care, even though it was associated with reduced readmissions (Marginal Effect: -0.012 percentage points). This may be because hospitals are not investing in patient engagement. This study has limited insight into causality and reduced generalizability among smaller, rural, and non-teaching hospitals.

The Health Information Technology special issue: making innovations impactful, ethical, and equitable.

A letter from the guest editor highlights how the findings in this special issue draw attention to critical questions that have arisen from health care's digital transformation.

Factors affecting the ability of patients with complex vascular anomalies to navigate the healthcare system.

BACKGROUND: Vascular anomalies (VAs) are rare congenital disorders that can cause pain, disfigurement, coagulopathy, asymmetric growth, and disability. Patients with complex VAs experience multiple barriers to accessing expert care. It is imperative to understand which factors support these patients' ability to navigate the healthcare system. RESULTS: We surveyed adult patients with VAs using previously validated measures, recruiting participants from five patient advocacy groups and multidisciplinary VA clinics. The primary outcome was self-reported ability to access needed medical care, using the "Navigating the Healthcare System" subscale of the Health Literacy Questionnaire. We evaluated factors associated with the ability to navigate the healthcare system using multivariate linear regression (n = 136). We also performed an exploratory model that included the primary care doctor's knowledge of VAs for the subset of participants with a primary care doctor (n = 114). Participants were predominantly women (n = 90, 66%), White and non-Hispanic (n = 109, 73%), and college-educated (n = 101, 73%). Most participants had PIK3CA-Related Overgrowth Spectrum (n = 107, 78%). Most participants reported that navigating the healthcare system was "sometimes" or "usually difficult" (mean score 16.4/30, standard deviation 5.6). In multivariate linear regression, ability to navigate the healthcare system was associated positively with quality of information exchange (ß = 0.38, 95% Confidence Interval (CI) 0.22 to 0.55, p <.001) and whether patients had VA specialists (ß = 2.31, 95% CI 0.35 to 4.28, p =.021), but not associated with patient self-advocacy, anxiety, education, age, race and ethnicity, gender, or having a primary care doctor. In exploratory analysis of participants with primary care doctors, ability to navigate the healthcare system was positively associated with quality of information exchange (ß = 0.27, 95% CI 0.09 to 0.45, p =.004), having a VA specialist (ß = 2.31, 95% CI 0.22 to 4.39, p =.031), and primary care doctors' VA knowledge (ß = 0.27, 95% CI 0.04 to 0.50, p =.023). CONCLUSION: Patients with VAs struggle to navigate the healthcare system. High-quality information from clinicians and more knowledgeable primary care doctors might help patients to access needed care. Relying on patient self-advocacy is insufficient. Future efforts should focus on patient-directed and clinician-directed educational interventions. Additionally, future work should assess the structural barriers that impede healthcare access for these patients.