Evolution of HIV Health Care Workforce Needs in the U.S. Mountain West During the COVID-19 Pandemic: A Mixed Method Study.

ABSTRACT: The COVID-19 pandemic drastically affected health care delivery for vulnerable populations. Many facilities shifted services to telemedicine, and people with HIV or at risk of acquiring HIV experienced interruptions in care. Simultaneously, traditional training approaches to help providers adapt were disrupted. Using a mixed method approach to examine changes over time, we integrated data on trainee needs collected by the Mountain West AIDS Education and Training Center (AETC): a 10-state needs assessment survey in 2020; feedback from a 2020 community of practice; aggregate training data from 2000 to 2022; and a second survey in 2022. HIV care providers' training needs evolved from wanting support on telemedicine and COVID-19 patient care issues, to a later focus on mental health and substance use, social determinants of health, and care coordination. This integrative analysis demonstrates the vital role that AETCs can play in addressing evolving and emergent public health challenges for the HIV workforce.

Economic Burden of Medically Attended Respiratory Syncytial Virus Infections Among Privately Insured Children Under 5 Years of Age in the USA.

BACKGROUND: The cost of medically attended RSV LRI (lower respiratory infection) is critical in determining the economic value of new RSV immunoprophylaxes. However, most studies have focused on intermittent RSV encounters, not the episode of care that captures the entirety of RSV illness. METHODS: We created age- and condition-specific cohorts of children under 5 years of age using MarketScan® data (2015-2019). We contrasted aggregating healthcare costs over RSV-LRTI episodes to ascertaining costs based on RSV-specific encounters only. Economic burden was estimated by multiplying costs per encounter or per episode by their respective incidence rates. RESULTS: Average cost was higher per episode than per encounter regardless of settings (inpatient: $28,586 vs. $18,056 and outpatient/ED: $2099 vs. $407 for infants). Across ages, the economic burden was highest for infants and RSV-LRTI requiring inpatient care, but the burden in outpatient/ED settings was disproportionately higher than costs due to higher incidence rates (for inpatient vs. outpatient episodes: $226,403 vs. $101,269; for inpatient vs. outpatient encounters: $151,878 vs. $38,819 per 1000 infant-years). For high-risk children, cost and burden were up to 3-10 times higher, respectively. CONCLUSIONS: With a comprehensive stratification by settings and risk condition, the encounter- versus episode-based estimates provide a robust range for policymakers' economic appraisal of new RSV immunoprophylaxes.

Cost-Effectiveness of Unselected Multigene Germline and Somatic Genetic Testing for Epithelial Ovarian Cancer.

BACKGROUND: Parallel panel germline and somatic genetic testing of all patients with ovarian cancer (OC) can identify more pathogenic variants (PVs) that would benefit from PARP inhibitor (PARPi) therapy, and allow for precision prevention in unaffected relatives with PVs. In this study, we estimate the cost-effectiveness and population impact of parallel panel germline and somatic BRCA testing of all patients with OC incorporating PARPi therapy in the United Kingdom and the United States compared with clinical criteria/family history (FH)-based germline BRCA testing. We also evaluate the cost-effectiveness of multigene panel germline testing alone. METHODS: Microsimulation cost-effectiveness modeling using data from 2,391 (UK: n=1,483; US: n=908) unselected, population-based patients with OC was used to compare lifetime costs and effects of panel germline and somatic BRCA testing of all OC cases (with PARPi therapy) (strategy A) versus clinical criteria/FH-based germline BRCA testing (strategy B). Unaffected relatives with germline BRCA1/BRCA2/RAD51C/RAD51D/BRIP1 PVs identified through cascade testing underwent appropriate OC and breast cancer (BC) risk-reduction interventions. We also compared the cost-effectiveness of multigene panel germline testing alone (without PARPi therapy) versus strategy B. Unaffected relatives with PVs could undergo risk-reducing interventions. Lifetime horizon with payer/societal perspectives, along with probabilistic/one-way sensitivity analyses, are presented. Incremental cost-effectiveness ratio (ICER) and incremental cost per quality-adjusted life year (QALY) gained were compared with £30,000/QALY (UK) and $100,000/QALY (US) thresholds. OC incidence, BC incidence, and prevented deaths were estimated. RESULTS: Compared with clinical criteria/FH-based BRCA testing, BRCA1/BRCA2/RAD51C/RAD51D/BRIP1 germline testing and BRCA1/BRCA2 somatic testing of all patients with OC incorporating PARPi therapy had a UK ICER of £51,175/QALY (payer perspective) and £50,202/QALY (societal perspective) and a US ICER of $175,232/QALY (payer perspective) and $174,667/QALY (societal perspective), above UK/NICE and US cost-effectiveness thresholds in the base case. However, strategy A becomes cost-effective if PARPi costs decrease by 45% to 46% or if overall survival with PARPi reaches a hazard ratio of 0.28. Unselected panel germline testing alone (without PARPi therapy) is cost-effective, with payer-perspective ICERs of £11,291/QALY or $68,808/QALY and societal-perspective ICERs of £6,923/QALY or $65,786/QALY. One year's testing could prevent 209 UK BC/OC cases and 192 deaths, and 560 US BC/OC cases and 460 deaths. CONCLUSIONS: Unselected panel germline and somatic BRCA testing can become cost-effective, with a 45% to 46% reduction in PARPi costs. Regarding germline testing, unselected panel germline testing is highly cost-effective and should replace BRCA testing alone.

Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights.

The epidemiology of pandemics is classically viewed using geographical and political borders; however, these artificial divisions can result in a misunderstanding of the current epidemiological state within a given region. To improve upon current methods, we propose a clustering algorithm which is capable of recasting regions into well-mixed clusters such that they have a high level of interconnection while minimizing the external flow of the population towards other clusters. Moreover, we analyze and identify so-called core clusters, clusters that retain their features over time (temporally stable) and independent of the presence or absence of policy measures. In order to demonstrate the capabilities of this algorithm, we use USA county-level cellular mobility data to divide the country into such clusters. Herein, we show a more granular spread of SARS-CoV-2 throughout the first weeks of the pandemic. Moreover, we are able to identify areas (groups of counties) that were experiencing above average levels of transmission within a state, as well as pan-state areas (clusters overlapping more than one state) with very similar disease spread. Therefore, our method enables policymakers to make more informed decisions on the use of public health interventions within their jurisdiction, as well as guide collaboration with surrounding regions to benefit the general population in controlling the spread of communicable diseases.

A two-stage bayesian model for assessing the geography of racialized economic segregation and premature mortality across US counties.

Racialized economic segregation, a key metric that simultaneously accounts for spatial, social and income polarization in communities, has been linked to adverse health outcomes, including morbidity and mortality. Due to the spatial nature of this metric, the association between health outcomes and racialized economic segregation could also change with space. Most studies assessing the relationship between racialized economic segregation and health outcomes have always treated racialized economic segregation as a fixed effect and ignored the spatial nature of it. This paper proposes a two-stage Bayesian statistical framework that provides a broad, flexible approach to studying the spatially varying association between premature mortality and racialized economic segregation while accounting for neighborhood-level latent health factors across US counties. The two-stage framework reduces the dimensionality of spatially correlated data and highlights the importance of accounting for spatial autocorrelation in racialized economic segregation measures, in health equity focused settings.

Home Heart Hospital Associated With Reduced Hospitalizations and Costs Among High-Cost Patients With Cardiovascular Disease.

BACKGROUND: There is no widely accepted care model for managing high-need, high-cost (HNHC) patients. We hypothesized that a Home Heart Hospital (H3), which provides longitudinal, hospital-level at-home care, would improve care quality and reduce costs for HNHC patients with cardiovascular disease (CVD). OBJECTIVE: To evaluate associations between enrollment in H3, which provides longitudinal, hospital-level at-home care, care quality, and costs for HNHC patients with CVD. METHODS: This retrospective within-subject cohort study used insurance claims and electronic health records data to evaluate unadjusted and adjusted annualized hospitalization rates, total costs of care, part A costs, and mortality rates before, during, and following H3. RESULTS: Ninety-four patients were enrolled in H3 between February 2019 and October 2021. Patients' mean age was 75 years and 50% were female. Common comorbidities included congestive heart failure (50%), atrial fibrillation (37%), coronary artery disease (44%). Relative to pre-enrollment, enrollment in H3 was associated with significant reductions in annualized hospitalization rates (absolute reduction (AR): 2.4 hospitalizations/year, 95% confidence interval [95% CI]: -0.8, -4.0; p < 0.001; total costs of care (AR: -$56 990, 95% CI: -$105 170, -$8810; p < 0.05; and part A costs (AR: -$78 210, 95% CI: -$114 770, -$41 640; p < 0.001). Annualized post-H3 total costs and part A costs were significantly lower than pre-enrollment costs (total costs of care: -$113 510, 95% CI: -$151 340, -$65 320; p < 0.001; part A costs: -$84 480, 95% CI: -$121 040, -$47 920; p < 0.001). CONCLUSIONS: Longitudinal home-based care models hold promise for improving quality and reducing healthcare spending for HNHC patients with CVD.

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups.

The prevalence of depression in U.S. adults during the COVID-19 pandemic has been high overall and particularly high among persons with fewer assets. Building on previous work on assets and mental health, we document the burden of depression in groups based on income and savings during the first two years of the COVID-19 pandemic. Using a nationally representative, longitudinal panel study of U.S. adults (N = 1,271) collected in April-May 2020 (T1), April-May 2021 (T2), and April-May 2022 (T3), we estimated the adjusted odds of reporting probable depression at any time during the COVID-19 pandemic with generalized estimating equations (GEE). We explored probable depression-defined as a score of ≥10 on the Patient Health Questionnaire-9 (PHQ-9)-by four asset groups, defined by median income (≥$65,000) and savings (≥$20,000) categories. The prevalence of probable depression was consistently high in Spring 2020, Spring 2021, and Spring 2022 with 27.9% of U.S. adults reporting probable depression in Spring 2022. We found that there were four distinct asset groups that experienced different depression trajectories over the COVID-19 pandemic. Low income-low savings asset groups had the highest level of probable depression across time, reporting 3.7 times the odds (95% CI: 2.6, 5.3) of probable depression at any time relative to high income-high savings asset groups. While probable depression stayed relatively stable across time for most groups, the low income-low savings group reported significantly higher levels of probable depression at T2, compared to T1, and the high income-low savings group reported significantly higher levels of probable depression at T3 than T1. The weighted average of probable depression across time was 42.9% for low income-low savings groups, 24.3% for high income-low savings groups, 19.4% for low income-high savings groups, and 14.0% for high income-high savings groups. Efforts to ameliorate both savings and income may be necessary to mitigate the mental health consequences of pandemics.

Health Care Utilization Prior to Ovarian Cancer Diagnosis in Publicly Insured Individuals in New York State.

Background: Women with early-stage ovarian cancer may be asymptomatic or present with nonspecific symptoms. We examined health care utilization prior to ovarian cancer diagnosis to assess whether women with higher utilization differed in their prognosis and outcomes compared to women with low utilization. Methods: Using Medicaid, Medicare, and New York State Cancer Registry data for ovarian cancer cases diagnosed in 2006-2015, we examined selected health care visits that occurred 1-6 months before ovarian cancer diagnosis. We used multivariable-adjusted logistic regression to estimate odds ratios (ORs) and 95% CIs for associations of sociodemographic factors with number of prediagnostic visits and number of visits with tumor characteristics, and Cox proportional hazards regression to examine differences in survival by number of visits. Results: Women with >5 vs 0 prediagnostic visits were statistically significantly less likely to be diagnosed with distant vs local stage disease (OR, 0.72; 95% CI, 0.54-0.96), and women with 3-5 or >5 vs 0 prediagnostic visits had better overall survival (hazard ratio [HR], 0.88; 95% CI, 0.80-0.96 and HR, 0.90; 95% CI, 0.83-0.98, respectively). In stratified analyses, the association with improved survival was observed only among cases with regional or distant stage disease. Conclusions: Women with high health care utilization prior to ovarian cancer diagnosis may have better prognosis and survival, possibly because of earlier detection or better access to care throughout treatment. Women and their health care providers should not ignore symptoms potentially indicative of ovarian cancer and should be persistent in following up on symptoms that do not resolve.

Changes in Health Care and Prescription Medication Affordability in the US During the COVID-19 Pandemic.

Importance: In the US, the COVID-19 pandemic led to a significant rise in unemployment and economic loss that disproportionately impacted low-income individuals. It is unknown how health care and prescription medication affordability changed among low-income adults during the COVID-19 pandemic overall and compared with their higher-income counterparts. Objective: To evaluate changes in health care affordability and prescription medication affordability during the COVID-19 pandemic (2021 and 2022) compared with pre-COVID-19 pandemic levels (2019) and whether income-based inequities changed. Design, Setting, and Participants: This retrospective cross-sectional study included adults 18 years and older participating in the National Health Interview Survey (NHIS) in 2019, 2021, and 2022. Low-income adults were defined as having a household income of 200% or less of the federal poverty level (FPL); middle-income adults, 201% to 400% of the FPL; and high-income adults, more than 400% of the FPL. Data were analyzed from June to November 2023. Main Outcomes and Measures: Measures of health care affordability and prescription medication affordability. Results: The study population included 89 130 US adults. Among the weighted population, 51.6% (95% CI, 51.2-52.0) were female, and the mean (SD) age was 48.0 (0.12) years. Compared with prepandemic levels, during the COVID-19 pandemic, low-income adults were less likely to delay medical care (2022: 11.2%; 95% CI, 10.3-12.1; 2019: 15.4%; 95% CI, 14.3-16.4; adjusted relative risk [aRR], 0.73; 95% CI, 0.66-0.81) or avoid care (2022: 10.7%; 95% CI, 9.7-11.6; 2019: 14.9%; 95% CI, 13.8-15.9; aRR, 0.72; 95% CI, 0.64-0.80) due to cost, while high-income adults experienced no change, resulting in a significant improvement in income-based disparities. Low-income and high-income adults were less likely to experience problems paying medical bills but experienced no change in worrying about medical bills during the COVID-19 pandemic compared with prepandemic levels. Across measures of prescription medication affordability, low-income adults were less likely to delay medications (2022: 9.4%; 95% CI, 8.4-10.4; 2019: 12.7%; 95% CI, 11.6-13.9; aRR, 0.74; 95% CI, 0.65-0.84), not fill medications (2022: 8.9%; 95% CI, 8.1-9.8; 2019: 12.0%; 95% CI, 11.1-12.9; aRR, 0.75; 95% CI, 0.66-0.83), skip medications (2022: 6.7%; 95% CI, 5.9-7.6; 2019: 10.1%; 95% CI, 9.1-11.1; aRR, 0.67; 95% CI, 0.57-0.77), or take less medications (2022: 7.3%; 95% CI, 6.4-8.1; 2019: 11.2%; 95% CI, 10.%-12.2; aRR, 0.65; 95% CI, 0.56-0.74) due to costs, and these patterns were largely similar among high-income adults. Improvements in measures of health care and prescription medication affordability persisted even after accounting for changes in health insurance coverage and health care use. These patterns were similar when comparing measures of affordability in 2021 with 2019. Conclusions and Relevance: Health care affordability improved for low-income adults during the COVID-19 pandemic, resulting in a narrowing of income-based disparities, while prescription medication affordability improved for all income groups. These findings suggest that the recent unwinding of COVID-19 pandemic-related safety-net policies may worsen health care affordability and widen existing income-based inequities.

Chronic kidney disease and transvenous cardiac implantable electronic device infection-is there an impact on healthcare utilization, costs, disease progression, and mortality?

AIMS: Cardiac implantable electronic device (CIED) infections are a burden to hospitals and costly for healthcare systems. Chronic kidney disease (CKD) increases the risk of CIED infections, but its differential impact on healthcare utilization, costs, and outcomes is not known. METHODS AND RESULTS: This retrospective analysis used de-identified Medicare Fee-for-Service claims to identify patients implanted with a CIED from July 2016 to December 2020. Outcomes were defined as hospital days and costs within 12 months post-implant, post-infection CKD progression, and mortality. Generalized linear models were used to calculate results by CKD and infection status while controlling for other comorbidities, with differences between cohorts representing the incremental effect associated with CKD. A total of 584 543 patients had a CIED implant, of which 26% had CKD and 1.4% had a device infection. The average total days in hospital for infected patients was 23.5 days with CKD vs. 14.5 days (P < 0.001) without. The average cost of infection was $121 756 with CKD vs. $55 366 without (P < 0.001), leading to an incremental cost associated with CKD of $66 390. Infected patients with CKD were more likely to have septicaemia or severe sepsis than those without CKD (11.0 vs. 4.6%, P < 0.001). After infection, CKD patients were more likely to experience CKD progression (hazard ratio 1.26, P < 0.001) and mortality (hazard ratio 1.89, P < 0.001). CONCLUSION: Cardiac implantable electronic device infection in patients with CKD was associated with more healthcare utilization, higher cost, greater disease progression, and greater mortality compared to patients without CKD.

Population Dementia Incidence and Direct Oral Anticoagulant Use in a Representative Population With Atrial Fibrillation.

BACKGROUND AND OBJECTIVES: Incidence and prevalence of atrial fibrillation (AF), a risk factor of dementia, have been increasing over time. Oral anticoagulation reduces risk of stroke and other negative outcomes of AF and may reduce dementia health inequities. The objective of this study was to estimate dementia incidence in patients with newly-diagnosed AF and taking an anticoagulant as use of direct oral anticoagulants (DOACs) increased. METHODS: We used a retrospective cohort design with annual incident AF cohorts of community-dwelling Medicare Fee-for-Service beneficiaries, enrolled in Parts A, B, and D from 2007 to 2017. The sample was limited to beneficiaries aged 67 years and older with incident AF; no prior dementia; and use of anticoagulants warfarin, dabigatran, rivaroxaban, apixaban, or edoxaban in year t. RESULTS: A total of 1,083,338 beneficiaries were included in the study, 58.5% female, with mean (SD) age 77.2 (6.75) years. Among anticoagulated, incident AF cohorts, use of DOACs increased from 10.6% in their first year of availability (2011) to 41.4% in 2017. Among incident AF cohorts taking any oral anticoagulant, 3-year dementia incidence did not change significantly over the cohorts after adjusting for confounders. For example, incidence was 9.1% (95% CI 8.9-9.4) among White persons diagnosed with AF in 2007 and 2008 and 8.9% (95% CI 8.7-9.1) in 2017. Across cohorts, dementia incidence was consistently highest for Black persons, followed by American Indian/Alaska Native and White persons, and lowest for Asian persons. In 2017, 10.9% (95% CI 10.4-11.3) of Black persons in the cohort developed dementia within 3 years, 9.4% (95% CI 8.0-10.9) of American Indian/Alaska Native, 8.9% (95% CI 8.7-9.1) of White, 8.7% (95% CI 8.2-9.1) of Hispanic, and 6.9% (95% CI 6.4-7.4) of Asian persons. Across race/ethnicity, 3-year stroke risk decreased consistently over time; however, the increasing availability of DOACs did not alter the trend. DISCUSSION: Increased use of DOACs among incident AF cohorts from 2007 to 2017 was not associated with significant declines in dementia or stroke risk. Consideration of similar stroke and dementia risk, as well as differences in cost, is warranted when weighing the risks and benefits of available oral anticoagulants.

On alert for Ebola: public health risk assessment of travellers from Uganda to the USA during the 2022 outbreak.

BACKGROUND: On 20 September 2022, the Ugandan Ministry of Health declared an outbreak of Ebola disease caused by Sudan ebolavirus. METHODS: From 6 October 2022 to 10 January 2023, Centers for Disease Control and Prevention (CDC) staff conducted public health assessments at five US ports of entry for travellers identified as having been in Uganda in the past 21 days. CDC also recommended that state, local and territorial health departments ('health departments') conduct post-arrival monitoring of these travellers. CDC provided traveller contact information, daily to 58 health departments, and collected health department data regarding monitoring outcomes. RESULTS: Among 11 583 travellers screened, 132 (1%) required additional assessment due to potential exposures or symptoms of concern. Fifty-three (91%) health departments reported receiving traveller data from CDC for 10 114 (87%) travellers, of whom 8499 (84%) were contacted for monitoring, 1547 (15%) could not be contacted and 68 (1%) had no reported outcomes. No travellers with high-risk exposures or Ebola disease were identified. CONCLUSION: Entry risk assessment and post-arrival monitoring of travellers are resource-intensive activities that had low demonstrated yield during this and previous outbreaks. The efficiency of future responses could be improved by incorporating an assessment of risk of importation of disease, accounting for individual travellers' potential for exposure, and expanded use of methods that reduce burden to federal agencies, health departments, and travellers.

Types of Racism and Health Disparities and Inequalities among Cancer Patients: An Editorial Reflection of Articles in This Special Issue of IJERPH.

Racism has been a long-standing influential factor that has negatively impacted both past and current health disparities within the United Sates population. Existing problems of racism and its impact on both health disparities and health inequalities were only amplified during the COVID-19 pandemic. The pandemic allowed both clinicians and researchers to recognize a growing list of health concerns at the macro-, meso-, and micro-level among underserved racially minoritized patients with specific chronic illnesses such as cancer. Based on these concerns, this Special Issue was designed to highlight the challenges of cancer screening, cancer treatment, and cancer-centered educational outreach among racially minoritized communities.

Telehealth Research and Innovation for Veterans with Cancer: the THRIVE Center.

BACKGROUND: In recent years the US health-care system has witnessed a substantial increase in telehealth use. Telehealth enhances health-care access and quality and may reduce costs. However, there is a concern that the shift from in-person to telehealth care delivery may differentially improve cancer care access and quality in certain clinical settings and for specific patient populations while potentially exacerbating disparities in care for others. Our National Cancer Institute-funded center, called Telehealth Research and Innovation for Veterans with Cancer (THRIVE), is focused on health equity for telehealth-delivered cancer care. We seek to understand how social determinants of telehealth-particularly race and ethnicity, poverty, and rurality-affect the use of telehealth. METHODS: THRIVE draws from the Health Disparities Research Framework and the Consolidated Framework for Implementation Research. THRIVE consists of multiple cores that work synergistically to assess and understand health equity for telehealth-delivered cancer care. These include the Administrative Core, Research and Methods Core, Clinical Practice Network, and Pragmatic Trial. RESULTS: As of October 2023, we identified and trained 5 THRIVE scholars, who are junior faculty beginning a research career. We have reviewed 20 potential pilot studies, funding 6. Additionally, in communication with our funders and advisory boards, we have adjusted our study design and analytic approach, ensuring feasibility while addressing our operational partners' needs. CONCLUSIONS: THRIVE has several key strengths. First, the Veterans Health Administration's health-care system is large and diverse regarding health-care setting type and patient population. Second, we have access to longitudinal data, predating the COVID-19 pandemic, about telehealth use. Finally, equitable access to high-quality care for all veterans is a major tenet of the Veterans Health Administration health-care mission. As a result of these advantages, THRIVE can focus on isolating and evaluating the impact of social determinants of telehealth on equity in cancer care.

National Cancer Institute-funded grants focused on synchronous telehealth cancer care delivery: a portfolio analysis.

BACKGROUND: Telehealth use increased during the COVID-19 pandemic and remains a complementary source of cancer care delivery. Understanding research funding trends in cancer-related telehealth can highlight developments in this area of science and identify future opportunities. METHODS: Applications funded by the US National Cancer Institute (NCI) between fiscal years 2016 and 2022 and focused on synchronous patient-provider telehealth were analyzed for grant characteristics (eg, funding mechanism), cancer focus (eg, cancer type), and study features (eg, type of telehealth service). Of 106 grants identified initially, 60 were retained for coding after applying exclusion criteria. RESULTS: Almost three-quarters (73%) of telehealth grants were funded during fiscal years 2020-2022. Approximately 67% were funded through R01 or R37 mechanism and implemented as randomized controlled trials (63%). Overall, telehealth grants commonly focused on treatment (30%) and survivorship (43%); breast cancer (12%), hematologic malignancies (10%), and multiple cancer sites (27%); and health disparity populations (ie, minorities, rural residents) (73%). Both audio and video telehealth were common (65%), as well as accompanying mHealth apps (20%). Telehealth services centered on psychosocial care, self-management, and supportive care (88%); interventions were commonly delivered by mental health professionals (30%). CONCLUSION: NCI has observed an increase in funded synchronous patient-provider telehealth grants. Trends indicate an evolution of awards that have expanded across the cancer control continuum, applied rigorous study designs, incorporated additional digital technologies, and focused on populations recognized for disparate cancer outcomes. As telehealth is integrated into routine cancer care delivery, additional research evidence will be needed to inform clinical practice.

Association Between the COI and Excess Health Care Utilization and Costs for ACSC.

BACKGROUND AND OBJECTIVES: The authors of previous work have associated the Childhood Opportunity Index (COI) with increased hospitalizations for ambulatory care sensitive conditions (ACSC). The burden of this inequity on the health care system is unknown. We sought to understand health care resource expenditure in terms of excess hospitalizations, hospital days, and cost. METHODS: We performed a retrospective cross-sectional study of the Pediatric Health Information Systems database, including inpatient hospitalizations between January 1, 2016 and December 31, 2022 for children <18 years of age. We compared ACSC hospitalizations, mortality, and cost across COI strata. RESULTS: We identified 2 870 121 hospitalizations among 1 969 934 children, of which 44.5% (1 277 568/2 870 121) were for ACSCs. A total of 49.1% (331 083/674 548) of hospitalizations in the very low stratum were potentially preventable, compared with 39.7% (222 037/559 003) in the very high stratum (P < .001). After adjustment, lower COI was associated with higher odds of potentially preventable hospitalization (odds ratio 1.18, 95% confidence interval [CI] 1.17-1.19). Compared with the very high COI stratum, there were a total of 137 550 (95% CI 134 582-140 517) excess hospitalizations across all other strata, resulting in an excess cost of $1.3 billion (95% CI $1.28-1.35 billion). Compared with the very high COI stratum, there were 813 (95% CI 758-871) excess deaths, with >95% from the very low and low COI strata. CONCLUSIONS: Children with lower neighborhood opportunity have increased risk of ACSC hospitalizations. The COI may identify communities in which targeted intervention could reduce health care utilization and costs.

Clinical and economic burden of medicare beneficiaries with multiple myeloma and renal impairment: An observational study.

Evidence on real-world clinical and economic outcomes in patients with multiple myeloma (MM) and renal impairment (RI) is limited in the United States. This retrospective study aimed to generate an updated comprehensive assessment of the clinical and economic outcomes of MM patients with RI using the Medicare research identifiable files data with Part D linkage, which might assist in assessing the total clinical and socioeconomic burden of these high-risk and challenging-to-treat patients. Treatment patterns and clinical and economic outcomes in first line (1L) to fourth line (4L) therapy were described in Medicare beneficiaries (2012 to 2018) for MM patients with RI (RI MM cohort). For reference purposes, information on a general cohort of MM patients was generated and reported to highlight the clinical and economic burden of RI. Since the goal was to describe the burden of these patients, this study was not designed as a comparison between the 2 cohorts. Compared with the general MM cohort (n = 13,573), RI MM patients (24.9%) presented high MM-associated comorbidities. In the RI MM cohort, bortezomib-dexamethasone (45.7%), bortezomib-lenalidomide (18.6%), lenalidomide (12.3%), and bortezomib-cyclophosphamide (12.1%) were the most prevalent regimens in 1L; carfilzomib and pomalidomide were mostly received in 3L to 4L; and daratumumab in 4L. Across 1L to 4L, the RI MM cohort presented shorter median real-world progression-free survival (1L: 12.9 and 16.4 months) and overall survival (1L: 31.1 and 46.8 months) and higher all-cause healthcare resource utilization (1L incidence rate of inpatient days: 12.1 and 7.8 per person per year) than the general MM cohort. In the RI MM cohort, the mean all-cause total cost increased from 1L to 4L ($14,549-$18,667 per person per month) and was higher than that of the general MM cohort. RI MM patients presented higher clinical and economic burdens across 1L to 4L than the general MM patients in real-world clinical practice.

Findings from the First Year of a Federally Funded, Direct-to-Consumer HIV Self-Test Distribution Program - United States, March 2023-March 2024.

In September 2022, CDC funded a nationwide program, Together TakeMeHome (TTMH), to expand distribution of HIV self-tests (HIVSTs) directly to consumers by mail through an online ordering portal. To publicize the availability of HIVSTs to priority audiences, particularly those disproportionately affected by HIV, CDC promoted this program through established partnerships and tailored resources from its Let's Stop HIV Together social marketing campaign. The online portal launched March 14, 2023, and through March 13, 2024, distributed 443,813 tests to 219,360 persons. Among 169,623 persons who answered at least one question on a postorder questionnaire, 67.9% of respondents were from priority audiences, 24.1% had never previously received testing for HIV, and 24.8% had not received testing in the past year. Among the subset of participants who initiated a follow-up survey, 88.3% used an HIVST themselves, 27.1% gave away an HIVST, 11.7% accessed additional preventive services, and 1.9% reported a new positive HIVST result. Mailed HIVST distribution can quickly reach large numbers of persons who have never received testing for HIV or have not received testing as often as is recommended. TTMH can help to achieve the goal of diagnosing HIV as early as possible and provides a path to other HIV prevention and care services. Clinicians, community organizations, and public health officials should be aware of HIVST programs, initiate discussions about HIV testing conducted outside their clinics or offices, and initiate follow-up services for persons who report a positive or negative HIVST result.

Incidence, implications, and management of sense-B-noise failure in subcutaneous cardioverter-defibrillator patients: insights from a large multicentre registry.

AIMS: Subcutaneous implantable cardioverter-defibrillators (S-ICDs) offer potentially distinct advantages over transvenous defibrillator systems. Recent randomized trials showed significantly lower lead failure rates than transvenous ICD. Still, S-ICDs remain associated with the risk of inappropriate shocks (IAS). While previous studies have reported varying causes of IAS, this study explores a rare cause of IAS, referred to as 'sense-B-noise.' It was recently described in case series, but its incidence has not been studied in a large cohort of S-ICD patients. METHODS AND RESULTS: We retrospectively reviewed data from patients implanted with S-ICD models 1010, A209, and A219 between October 2009 and July 2023 across nine centres in Europe and the USA. The analysis concentrated on determining the incidence and understanding the implications of sense-B-noise events. Sense-B-noise represents a rare manifestation of distinct electrogram abnormalities within the primary and alternate sensing vectors. Data were collected from medical records, device telemetry, and manufacturer reports for investigation. This registry is registered on clinicaltrials.gov (NCT05713708). Subcutaneous implantable cardioverter-defibrillator devices of the 1158 patients were analysed. The median follow-up time for all patients was 46 (IQR 23-64) months. In 107 patients (9.2%) ≥1 IAS was observed during follow-up. Sense-B-noise failure was diagnosed in six (0.5 and 5.6% of all IAS) patients, in all patients, the diagnosis was made after an IAS episode. Median lead dwell time in the affected patients was 23 (2-70) months. To resolve the sense-B-noise defect, in three patients reprogramming to the secondary vector was undertaken, and two patients underwent system removal with subsequent S-ICD reimplantation due to low amplitude in the secondary vector. In one patient, the secondary vector was initially programmed, and subsequently, an S-ICD system exchange was performed due to T-wave-oversensing IAS episodes. CONCLUSION: This multicentre analysis' findings shed light on a rare but clinically highly significant adverse event in S-ICD therapy. To our knowledge, we provide the first systematic multicentre analysis investigating the incidence of sense-B-noise. Due to being difficult to diagnose and limited options for resolution, management of sense-B-noise is challenging. Complete system exchange may be the only option for some patients. Educating healthcare providers involved in S-ICD patient care is crucial for ensuring accurate diagnosis and effective management of sense-B-noise issues.

Availability of Medications for Opioid Use Disorder in Community Mental Health Facilities.

Importance: Medications for opioid use disorder (MOUD) are an effective but underutilized treatment. Opioid use disorder prevalence is high among people receiving treatment in community outpatient mental health treatment facilities (MHTFs), but MHTFs are understudied as an MOUD access point. Objective: To quantify availability of MOUD at community outpatient MHTFs in high-burden states as well as characteristics associated with offering MOUD. Design, Setting, and Participants: This cross-sectional study performed a phone survey between April and July 2023 among a representative sample of community outpatient MHTFs within 20 states most affected by the opioid crisis, including all Certified Community Behavioral Health Centers (CCBHCs). Participants were staff at 450 surveyed community outpatient MHTFs in 20 states in the US. Main Outcomes and Measures: MOUD availability. A multivariable logistic regression was fit to assess associations of facility, county, and state-level characteristics with offering MOUD. Results: Surveys with staff from 450 community outpatient MHTFs (152 CCBHCs and 298 non-CCBHCs) in 20 states were analyzed. Weighted estimates found that 34% (95% CI, 29%-39%) of MHTFs offered MOUD in these states. Facility-level factors associated with increased odds of offering MOUD were: self-reporting being a CCBHC (odds ratio [OR], 2.11 [95% CI, 1.08-4.11]), providing integrated mental and substance use disorder treatment (OR, 5.21 [95% CI, 2.44-11.14), having a specialized treatment program for clients with co-occurring mental and substance use disorders (OR, 2.25 [95% CI, 1.14-4.43), offering housing services (OR, 2.54 [95% CI, 1.43-4.51]), and laboratory testing (OR, 2.15 [95% CI, 1.12-4.12]). Facilities that accepted state-financed health insurance plans other than Medicaid as a form of payment had increased odds of offering MOUD (OR, 1.95 [95% CI, 1.01-3.76]) and facilities that accepted state mental health agency funds had reduced odds (OR, 0.43 [95% CI, 0.19-0.99]). Conclusions and Relevance: In this study of 450 community outpatient MHTFs in 20 high-burden states, approximately one-third offered MOUD. These results suggest that further study is needed to report MOUD uptake, either through increased prescribing at all clinics or through effective referral models.