Risk Factors for Post-Discharge Adverse Outcomes Following Hospitalization Among Older Adults Diagnosed With Elder Mistreatment.

Using 100% Medicare data files, this study explored whether primary elder mistreatment (EM) diagnosis, EM type, and facility type were associated with 3-year mortality and 1-year unplanned hospital readmission among older patients diagnosed with EM with hospital discharge from 10/01/2015 through 12/31/2018 (n = 11,023). We also examined outcome differences between older patients diagnosed with EM and matched non-EM patient controls. Neglect by others was the most common EM diagnosis. Three-year mortality was 56.7% and one-year readmission rate was 53.8%. Compared to matched non-EM patient controls, older EM patients were at an increased risk of mortality and readmission. Among patients diagnosed with EM, patients with a secondary (vs. primary) diagnosis and those discharged from a skilled nursing facility (vs. acute hospital) were at an increased risk for both mortality and readmission. Compared to other EM types, patients diagnosed with neglect by others had a greater risk for mortality following discharge.

Subtyping Social Determinants of Health in All of Us: Network Analysis and Visualization Approach.

Background: Social determinants of health (SDoH), such as financial resources and housing stability, account for between 30-55% of people's health outcomes. While many studies have identified strong associations among specific SDoH and health outcomes, most people experience multiple SDoH that impact their daily lives. Analysis of this complexity requires the integration of personal, clinical, social, and environmental information from a large cohort of individuals that have been traditionally underrepresented in research, which is only recently being made available through the All of Us research program. However, little is known about the range and response of SDoH in All of Us, and how they co-occur to form subtypes, which are critical for designing targeted interventions. Objective: To address two research questions: (1) What is the range and response to survey questions related to SDoH in the All of Us dataset? (2) How do SDoH co-occur to form subtypes, and what are their risk for adverse health outcomes? Methods: For Question-1, an expert panel analyzed the range of SDoH questions across the surveys with respect to the 5 domains in Healthy People 2030 (HP-30), and analyzed their responses across the full All of Us data (n=372,397, V6). For Question-2, we used the following steps: (1) due to the missingness across the surveys, selected all participants with valid and complete SDoH data, and used inverse probability weighting to adjust their imbalance in demographics compared to the full data; (2) an expert panel grouped the SDoH questions into SDoH factors for enabling a more consistent granularity; (3) used bipartite modularity maximization to identify SDoH biclusters, their significance, and their replicability; (4) measured the association of each bicluster to three outcomes (depression, delayed medical care, emergency room visits in the last year) using multiple data types (surveys, electronic health records, and zip codes mapped to Medicaid expansion states); and (5) the expert panel inferred the subtype labels, potential mechanisms that precipitate adverse health outcomes, and interventions to prevent them. Results: For Question-1, we identified 110 SDoH questions across 4 surveys, which covered all 5 domains in HP-30. However, the results also revealed a large degree of missingness in survey responses (1.76%-84.56%), with later surveys having significantly fewer responses compared to earlier ones, and significant differences in race, ethnicity, and age of participants of those that completed the surveys with SDoH questions, compared to those in the full All of Us dataset. Furthermore, as the SDoH questions varied in granularity, they were categorized by an expert panel into 18 SDoH factors. For Question-2, the subtype analysis (n=12,913, d=18) identified 4 biclusters with significant biclusteredness (Q=0.13, random-Q=0.11, z=7.5, P<0.001), and significant replication (Real-RI=0.88, Random-RI=0.62, P<.001). Furthermore, there were statistically significant associations between specific subtypes and the outcomes, and with Medicaid expansion, each with meaningful interpretations and potential targeted interventions. For example, the subtype Socioeconomic Barriers included the SDoH factors not employed, food insecurity, housing insecurity, low income, low literacy, and low educational attainment, and had a significantly higher odds ratio (OR=4.2, CI=3.5-5.1, P-corr<.001) for depression, when compared to the subtype Sociocultural Barriers. Individuals that match this subtype profile could be screened early for depression and referred to social services for addressing combinations of SDoH such as housing insecurity and low income. Finally, the identified subtypes spanned one or more HP-30 domains revealing the difference between the current knowledge-based SDoH domains, and the data-driven subtypes. Conclusions: The results revealed that the SDoH subtypes not only had statistically significant clustering and replicability, but also had significant associations with critical adverse health outcomes, which had translational implications for designing targeted SDoH interventions, decision-support systems to alert clinicians of potential risks, and for public policies. Furthermore, these SDoH subtypes spanned multiple SDoH domains defined by HP-30 revealing the complexity of SDoH in the real-world, and aligning with influential SDoH conceptual models such as by Dahlgren-Whitehead. However, the high-degree of missingness warrants repeating the analysis as the data becomes more complete. Consequently we designed our machine learning code to be generalizable and scalable, and made it available on the All of Us workbench, which can be used to periodically rerun the analysis as the dataset grows for analyzing subtypes related to SDoH, and beyond.

Interprofessional Perceptions of Diversity, Equity, Inclusion, Cultural Competence, and Humility Among Students and Faculty: A Mixed-Methods Study.

BACKGROUND: An urgent educational need is to examine the current gaps in cultural competence/humility, diversity, equity, inclusion, and accessibility (DEIA) that may significantly affect the teaching and learning environments among students/faculty. This mixed-methods study examined the current level of cultural competemility and perceptions of diversity, equity, and inclusion (DEI)-related challenges and recommendations among students/faculty of health professions. METHODS: Students and faculty completed a survey including the Inventory for Assessing the Process of Cultural Competemility Among Healthcare Professionals (IAPCC-HCP©) and open-ended questions on their DEI perceptions and needs. Data were analyzed via descriptive statistics and independent t-tests. Qualitative data were coded using thematic content analysis. OUTCOMES: A total of 100 participants (64 students, 38 faculty) completed the survey. The majority identified as Caucasian or non-Hispanic White and female, and were satisfied with DEIA-related school-level initiatives and familiar with how to use pronouns to reflect all genders. Compared to students, faculty scored slightly higher, although not significantly, in five of six domains, including Cultural Humility, Cultural Awareness, Culture Skill, Cultural Encounters and Cultural Desire. Participants shared their need to address: 1) DEIA gaps in knowledge and Schools of Health Professions curriculum; 2) involvement of students; 3) racism, biases, and discrimination; and 4) recognition of underrepresented groups. Training needs were in the areas of 1) DEIA assessment and training for students and faculty; 2) DEIA school activities; 3) DEIA-informed policies; and 4) modifications to clinical education. CONCLUSION: The faculty more than students expressed the need to enhance their DEI and cultural knowledge. Our findings can guide further development of educational activities and school-level DEI initiatives in schools of health professions.

Care patterns and predictors of community residence among older patients after hospital discharge for traumatic brain injury.

BACKGROUND: An increasing number of older adults with traumatic brain injury (TBI) require hospitalization, but it is unknown whether they return to their community following discharge. We examined community residence following acute hospital discharge for TBI in Texas and identified factors associated with 90-day community residence and readmission. METHODS: We conducted a retrospective cohort study using 100% Texas Medicare claims data of patients older than 65 years hospitalized for a TBI from January 1, 2014, through December 31, 2017, and followed for 20 weeks after discharge. Discharges to short-term and long-term acute hospital, inpatient rehabilitation facility (IRF), skilled nursing facility (SNF), long-term nursing home (NH), and hospice were identified. The primary outcome was 90-day community residence. Our secondary outcome was 90-day, all-cause readmission. RESULTS: In Texas, 26,985 Medicare fee-for-service patients were hospitalized for TBI (Racial and ethnic minorities: 21.1%; Females 57.3%). At 90 days and 20 weeks following discharge, 80% and 84% were living in the community respectively. Female sex (OR = 1.16 [1.08-1.25]), Hispanic ethnicity (OR = 2.01 [1.80-2.25]), "other" race (OR = 2.19 [1.73-2.77]), and prior primary care provider (PCP; OR = 1.51 [1.40-1.62]) were associated with increased likelihood of 90-day community residence. Patients aged 75+, prior NH residence, dual eligibility, prior TBI diagnosis, and moderate-to-severe injury severity were associated with decreased likelihood of 90-day community residence. Being non-Hispanic Black (HR = 1.33 [1.20-1.46]), discharge to SNF (HR = 1.56 [1.48-1.65]) or IRF (HR = 1.49 [1.40-1.59]), having prior PCP (HR = 1.23 [1.17-1.30]), dual eligibility (HR = 1.11 [1.04-1.18]), and prior TBI diagnosis (HR = 1.05 [1.01-1.10]) were associated with increased risk of 90-day readmission. Female sex and "other" race were associated with decreased risk of 90-day readmission. CONCLUSIONS: Most older adults with TBI return to the community following hospital discharge. Disparities exist in returning to the community and in risk of 90-day readmission following hospital discharge. Future studies should explore how having a PCP influences post-hospital outcomes in chronic care management of older patients with TBI.

Life-space mobility and post-hospitalization outcomes among older Mexican American Medicare beneficiaries.

BACKGROUND: Older adults with limited mobility are at an increased risk of adverse health outcomes, an outcome inadequately investigated in older Mexican Americans. We explored whether pre-admission life-space mobility predicts post-hospitalization outcomes among hospitalized Mexican American Medicare beneficiaries. METHODS: Life-space mobility, using the Life-Space Assessment (LSA), was analyzed using quartiles and 5-point intervals. Using the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Waves 7 and 8 data linked to Medicare claims data, 426 older Mexican Americans with at least 2 months of Medicare coverage who were hospitalized within 2 years of completing the LSA were included. Logistic and Cox Proportional regression analyses estimated the association of pre-admission LSA with post-hospitalization outcomes. RESULTS: Prior to hospitalization, 85.4% reported limited life-space mobility. Most patients (n = 322, 75.6%) were hospitalized for medical reasons. About 65% were discharged to the community. Pre-admission LSA scores were not associated with community discharge (Odds Ratio [OR] = 1.02, 0.95-1.10). Higher pre-admission LSA scores were associated with 30-day readmission (OR = 1.11, 1.01-1.22). Patients in the highest pre-admission LSA quartile (i.e., greatest life-space mobility) were less likely to die within 2 years after hospital discharge (OR = 0.61, 0.39-0.97) compared to those with lower pre-admission LSA scores. CONCLUSIONS: Among older Mexican American Medicare beneficiaries, greater pre-admission LSA scores were associated with an increased risk of 30-day readmission and a decreased risk of mortality within 2 years following hospitalization. Future work should further investigate the relationship between LSA and post-hospitalization outcomes in a larger sample of Mexican American older adults.

The Pre-Adaptation of a Stroke-Specific Self-Management Program Among Older Adults.

Objectives: Managing multimorbidity as aging stroke patients is complex; standard self-management programs necessitate adaptations. We used visual analytics to examine complex relationships among aging stroke survivors' comorbidities. These findings informed pre-adaptation of a component of the Chronic Disease Self-Management Program. Methods: Secondary analysis of 2013-2014 Medicare claims with stroke as an index condition, hospital readmission within 90 days (n = 42,938), and 72 comorbidities. Visual analytics identified patient subgroups and co-occurring comorbidities. Guided by the framework for reporting adaptations and modifications to evidence-based interventions, an interdisciplinary team developed vignettes that highlighted multimorbidity to customize the self-management program. Results: There were five significant subgroups (z = 6.19, p < .001) of comorbidities such as obesity and cancer. We constructed 6 vignettes based on the 5 subgroups. Discussion: Aging stroke patients often face substantial disease-management hurdles. We used visual analytics to inform pre-adaptation of a self-management program to fit the needs of older adult stroke survivors.

The Impact of One's Sex and Social Living Situation on Rehabilitation Outcomes After a Stroke.

OBJECTIVE: The aim of the study was to investigate sex differences and the impact of social living situation on individual functional independence measure outcomes after stroke rehabilitation. DESIGN: A retrospective observational study using Medicare fee-for-service beneficiaries (N = 125,548) who were discharged from inpatient rehabilitation facilities in 2013 and 2014 after a stroke. Discharge individual functional independence measure score, dichotomized as ≥5 and <5, was the primary outcome measure. A two-step generalized linear mixed model was used to measure the effect of sex on each functional independence measure item while controlling for many clinical and sociodemographic covariates. RESULTS: After adjusting for sociodemographic and clinical factors, females had higher odds of reaching a supervision level for 14 of 18 functional independence measure items. Males had higher odds of reaching a supervision level on 2 of 18 functional independence measure items. Individuals who lived alone before their stroke had higher odds of reaching a supervision level than individuals who lived with a caregiver or with family for all functional independence measure items. CONCLUSIONS: When sociodemographic and clinical factors are controlled, females are more likely to discharge from inpatient rehabilitation at a supervision level or better for most functional independence measure items. Individuals who live alone before their stroke have higher odds of discharging at a supervision level or better.

Implementation of resource facilitation to assess referral needs and promote access to state vocational rehabilitation services in people with traumatic brain injury.

Resource facilitation (RF) has shown promise for improving return to work (RTW) after traumatic brain injury (TBI), but little is known about the RF needs of people recruited from acute trauma settings. In this descriptive study, we sought to track referral needs, describe problems in accessing state vocational rehabilitation (VR) services, and highlight the role of RF in overcoming these difficulties in 45 adults with complicated mild to severe TBI seeking RTW who were recruited from acute trauma care. Participants received a referral to the state VR agency, along with RF services for up to one year. Case coordinators (CCs) conducted biweekly assessments, provided referrals, and helped address problems in accessing services. On average 4.92 referrals were generated per participant; 91% required referrals. CCs made 44% of referrals, while physicians/other healthcare professionals generated 33% and VR counsellors generated 23%. CCs filled a gap in referring for financial and transportation difficulties. Two case studies illustrate implementation of the RF paradigm. RF provides systematic assessment and referral for services needed to facilitate utilisation of state VR services. Among persons with TBI recruited from acute trauma settings in the US, CCs provide referrals that are often not generated by other sources.