County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Objectives. To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. Methods. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. (Am J Public Health. 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

Communication and activation in pain to enhance relationships and treat pain with equity (COOPERATE): a randomized clinical trial.

ABSTRACT: Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one's health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.

Supporting caregivers of veterans with Alzheimer's disease and traumatic brain injury: study protocol for a randomized controlled trial.

BACKGROUND: Patients with Alzheimer's disease and related dementias (ADRD) and traumatic brain injury (TBI) and their caregivers require cognitive and behavioral symptom management, interdisciplinary care, support for caregivers, and seamless care coordination between providers. Caring for someone with ADRD or TBI is associated with higher rates of psychological morbidity and burden, social isolation, financial hardship, and deterioration of physical health. Tremendous need exists for primary care-based interventions that concurrently address the care needs of dyads and aim to improve care and outcomes for both individuals with ADRD and TBI and their family caregivers. METHODS: The Aging Brain Care Acquiring New Skills While Enhancing Remaining Strengths (ABC ANSWERS) study is a randomized controlled trial that tests the effectiveness of an intervention based on two evidence-based programs that have been developed for and previously tested in populations with ADRD, TBI, stroke, and late-life depression and/or who have survived an intensive care unit stay. This study includes 200 dyads comprised of a veteran with a diagnosis of ADRD or TBI and the veteran's primary informal caregiver. Dyads are randomized to receive the ABC ANSWERS intervention or routine Veterans Health Administration (VHA) primary care with a standardized educational and resource information packet. Data collection occurs at baseline and three follow-up time points (3 months, 6 months, and 12 months). The primary outcome is caregiver quality of life (QoL). A secondary measure for the caregiver is caregiver burden. Secondary measures for both the veteran and caregiver include symptoms of depression and anxiety. DISCUSSION: The ABC ANSWERS intervention integrates common features of an evidence-based collaborative care model for brain health while concurrently attending to the implementation barriers of delivering care and skills to dyads. We hypothesize that caregivers in dyads randomized to the ABC ANSWERS program will experience higher levels of QoL and lower levels of depression, anxiety, dyadic strain, and caregiver burden at 12 months than those receiving usual VHA primary care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03397667. Registered on 12 January 2018.

Informing Policy Change: A Study of Rapid Repeat Pregnancy in Adolescents to Increase Access to Immediate Postpartum Contraception.

Background: Rapid repeat pregnancy (RRP) is common among adolescents and is associated with adverse maternal and infant outcomes. Despite evidence that use of long-acting forms of contraception before hospital discharge can help minimize RRP rates, barriers to placement existed within the state of Indiana. We sought to determine state-specific RRP and induced abortion rates for adolescents based on chosen postpartum contraception to inform policy change. Methods: We examined a retrospective cohort of 227 adolescents (ages 12-18 years) who gave birth in Indiana between 2010 and 2012. Demographics, postpartum contraception, and subsequent pregnancies or abortions after the sentinel delivery were obtained. Rates of RRP based on type of immediate postpartum contraception, etonogestrel (ENG) contraceptive implant, depo-medroxyprogesterone acetate (DMPA) injection, and short-acting methods were compared. Bivariate and logistic regression analyses were conducted. Results: RRP rates were 3.7% for those with ENG contraceptive implant, 22.6% for those with DMPA, and 39.1% for those who choose short-acting methods (p = 0.01). Adolescents who did not choose an ENG contraceptive implant were significantly more likely to have an RRP (adjusted odds ratio [aOR] = 11.8, 95% confidence interval: 2.74-110.3), compared with other contraceptive methods, even after adjusting for covariates such as age, prior pregnancies, and postpartum visit attendance. Conclusions: Immediate postpartum receipt of ENG implant was significantly associated with a lower likelihood of RRP in adolescents in Indiana. These data facilitated state policy change regarding insurance reimbursement to improve statewide access for all women, regardless of age, showing how local data can inform policy change.

Care Trajectories of Veterans in the 12 Months After Hospitalization for Acute Ischemic Stroke.

BACKGROUND: Recovery after a stroke varies greatly between individuals and is reflected by wide variation in the use of institutional and home care services. This study sought to classify veterans according to their care trajectories in the 12 months after hospitalization for ischemic stroke. METHODS AND RESULTS: The sample consisted of 3811 veterans hospitalized for ischemic stroke in Veterans Health Administration facilities in 2007. Three outcomes--nursing home care, home care, and mortality--were modeled jointly >12 months using latent class growth analysis. Data on Veterans' care use and cost came from the Veterans Administration and Medicare. Covariates included stroke severity (National Institutes of Health Stroke Scale), functional status (functional independence measure score), age, marital status, chronic conditions, and prestroke ambulation. Five care trajectories were identified: 49% of Veterans had Rapid Recovery with little or no use of care; 15% had a Steady Recovery with initially high nursing home or home care that tapered off; 9% had Long-Term Home Care; 13% had Long-Term Nursing Home Care; and 14% had an Unstable trajectory with multiple transitions between long-term and acute care settings. Care use was greatest for individuals with more severe strokes, lower functioning at hospital discharge, and older age. Average annual costs were highest for individuals with the Long-Term Nursing Home trajectory ($63,082), closely followed by individuals with the Unstable trajectory ($58,720). Individual with the Rapid Recovery trajectory had the lowest costs ($9271). CONCLUSIONS: Care trajectories after stroke were associated with stroke severity and functional dependency and they had a dramatic impact on subsequent costs.

Modeling correlated healthcare costs.

Accurate estimation and prediction of healthcare costs play crucial roles in decisions made by healthcare agencies on policy and resource allocation. Development of a cost model allows these decision-makers the opportunity to investigate the impact of different policies and/or allocations of resources. With increased subject-specific information, longitudinal studies and the breakdown of total costs into categories comes the need for healthcare cost models to account for correlation. In this article, we review the statistical models used to fit joint costs, emphasizing the use of copulas as a flexible and relatively straightforward approach to move from marginal to joint modeling.