Mixed-effects Negative Binomial Regression Research Articles

Determinants of aggregate anthropometric failure among children under-five years in Ethiopia: Application of multilevel mixed-effects negative binomial regression modeling.

Undernutrition significantly contributes to failure to thrive in children under five, with those experiencing multiple forms of malnutrition facing the highest risks of morbidity and mortality. Conventional markers such as stunting, wasting, and underweight have received much attention but are insufficient to identify multiple types of malnutrition, prompting the development of the Composite Index of Anthropometric Failure (CIAF) and the Composite Index of Severe Anthropometric Failure (CISAF) as an aggregate indicators. This study aimed to identify factors associated with CIAF and CISAF among Ethiopian children aged 0-59 months using data from the 2019 Ethiopia Mini Demographic and Health Survey. The study included a weighted sample of 5,259 children and used multilevel mixed-effects negative binomial regression modeling to identify determinants of CIAF and CISAF. The result showed higher incidence-rate ratio (IRR) of CIAF in male children (adjusted IRR = 1.27; 95% CI = 1.13-1.42), children aged 12-24 months (aIRR = 2.01, 95%CI: 1.63-2.48), and 24-59 months (aIRR = 2.36, 95%CI: 1.91-2.92), those from households with multiple under-five children (aIRR = 1.16, 95%CI: 1.01-1.33), poorer households (aIRR = 1.48; 95%CI: 1.02-2.15), and those who lived in houses with an earthen floor (aIRR = 1.37, 95%CI: 1.03-1.82). Similarly, the factors positively associated with CISAF among children aged 0-59 months were male children (aIRR = 1.47, 95% CI = 1.21-1.79), age group 6-11 months (aIRR = 2.30, 95%CI: 1.40-3.78), age group 12-24 months (aIRR = 3.76, 95%CI: 2.40-5.88), age group 25-59 months (aIRR = 4.23, 95%CI: 2.79-6.39), children from households living with two and more under-five children (aIRR = 1.27, 95%CI:1.01-1.59), and children from poorer households (aIRR = 1.93, 95% CI = 1.02-3.67). Children were more likely to suffer from multiple anthropometric failures if they were: aged 6-23 months, aged 24-59 months, male sex, living in households with multiple under-five children, and living in households with poor environments. These findings underscore the need to employ a wide range of strategies to effectively intervene in multiple anthropometric failures in under-five children.

Identification of factors associated with opioid-related and hepatitis C virus-related hospitalisations at the ZIP code area level in the USA: an ecological and modelling study

Opioid overdose and related diseases remain a growing public health crisis in the USA. Identifying sociostructural and other contextual factors associated with adverse health outcomes is needed to improve prediction models to inform policy and interventions. We aimed to identify high-risk communities for targeted delivery of screening and prevention interventions for opioid use disorder and hepatitis C virus (HCV). In this ecological and modelling study, we fit mixed-effects negative binomial regression models to identify factors associated with, and predict, opioid-related and HCV-related hospitalisations for ZIP code tabulation areas (ZCTAs) in South Carolina, USA. All individuals aged 18 years or older living in South Carolina from Jan 1, 2016, to Dec 31, 2021, were included. Data on opioid-related and HCV-related hospitalisations, as well as data on additional individual-level variables, were collected from medical claims records, which were obtained from the South Carolina Revenue and Fiscal Affairs Office. Demographic and socioeconomic variables were obtained from the United States Census Bureau (American Community Survey, 2021) with additional structural health-care barrier data obtained from South Carolina's Center for Rural and Primary Health Care, and the American Hospital Directory. Between Jan 1, 2016, and Dec 31, 2021, 41 691 individuals were hospitalised for opioid misuse and 26 860 were hospitalised for HCV. There were a median of 80 (IQR 24-213) opioid-related hospitalisations and 61 (21-196) HCV-related hospitalisations per ZCTA. A standard deviation increase in ZCTA-level uninsured rate (relative risk 1·24 [95% CI 1·17-1·31]), poverty rate (1·24 [1·17-1·31]), mortality (1·18 [1·12-1·25]), and social vulnerability index (1·17 [1·10-1·24]) was significantly associated with increased combined opioid-related and HCV-related hospitalisation rates. A standard deviation increase in ZCTA-level income (0·79 [0·75-0·84]) and unemployment rate (0·87 [0·82-0·93]) was significantly associated with decreased combined opioid-related and HCV-related hospitalisations. Using 2016-20 hospitalisations as training data, our models predicted ZCTA-level opioid-related hospitalisations in 2021 with a median of 80·4% (IQR 66·8-91·1) accuracy and HCV-related hospitalisations in 2021 with a median of 75·2% (61·2-87·7) accuracy. Several underserved high-risk ZCTAs were identified for delivery of targeted interventions. Our results suggest that individuals from economically disadvantaged and medically under-resourced communities are more likely to have an opioid-related or HCV-related hospitalisation. In conjunction with hospitalisation forecasts, our results could be used to identify and prioritise high-risk, underserved communities for delivery of field-level interventions. South Carolina Center for Rural and Primary Healthcare, National Institute on Drug Abuse, and National Library of Medicine.

Within-trial hospitalization resource utilization and budget impact analysis for darolutamide in metastatic hormone-sensitive prostate cancer using ARASENS.

ARASENS was a randomized, double-blind, phase 3 trial comparing darolutamide + docetaxel + androgen deprivation therapy (ADT) with placebo + docetaxel + ADT in patients with metastatic hormone-sensitive prostate cancer (mHSPC). To use clinical trial data from ARASENS to understand whether the addition of darolutamide to docetaxel + ADT leads to increased hospitalizations and to estimate the budget impact on the US health care system. We used mixed-effects negative binomial regression to estimate hospitalization and intensive care unit (ICU) admission rates and length of hospital stay (LoHS) counts. Hospitalization rates were estimated per treatment arm for the period during and after administration of docetaxel. Based on these estimates, a budget impact analysis evaluated the hospitalization costs (including ICU admissions) and standalone ICU hospitalization costs for the totality of the US population over a 5-year time horizon. The analysis compared a scenario without darolutamide vs one with darolutamide included in the US payer formulary. Hospitalization estimates were varied in a one-way sensitivity analysis. The first 4 months of treatment (when patients were receiving docetaxel) were associated with increased hospitalizations across both arms. The addition of darolutamide was associated with a numerical reduction in the rate of hospitalization (per year) due to any reason both during docetaxel treatment (1.01 visits per year [95% CI = 0.82-1.20] vs 1.18 visits per year [95% CI = 0.96-1.41]) and after docetaxel treatment (0.28 visits per year [95% CI = 0.23-0.34] vs 0.33 visits per year [95% CI = 0.27-0.40]). Darolutamide was associated with a marginally longer LoHS per hospitalization compared with placebo (+1.90 days per year) both during and after docetaxel treatment. ICU admissions were low in the ARASENS data; admission rates were assumed to be the same during and after docetaxel treatment. ICU admission rate estimates were equivalent across arms (0.02 visits per year [95% CI = 0.01-0.03]). The budget impact per treated member per month represents a cost-neutral option after Year 5 with a cumulative budget impact of -$9.71. The addition of darolutamide to docetaxel + ADT was associated with a numerically lower rate of hospitalization but marginally longer LoHS compared with docetaxel + ADT alone. Darolutamide represents a cost-neutral alternative per treated member per month compared with docetaxel + ADT with regard to hospitalizations at the end of a 5-year time horizon.

Determinants of radiographic progression in early psoriatic arthritis: insights from a real-world cohort

ObjectivePersistent articular inflammation in psoriatic arthritis (PsA) is associated with radiographic damage. Despite advances in diagnosis and therapy, radiographic structural damage remains prevalent in PsA. To elucidate this topic, we...

Workflow and Outcome of Thrombectomy in Late Time Window: A Pooled Multicenter Analysis.

We investigated the impact of workflow times on the outcomes of patients treated with endovascular thrombectomy (EVT) in the late time window. Individual patients' data who underwent EVT in the late time window (onset to imaging >6 hours) were pooled from seven registries and randomized clinical trials. Multiple time intervals were analyzed. Mixed-effects logistic regression was used to estimate the likelihood of functional independence at 90 days (modified Rankin Scale 0-2). Mixed-effects negative binomial regression was used to evaluate the relationship between patient characteristics and workflow time intervals. 608 patients were included. The median age was 70 years (IQR: 58-71), 307 (50.5%) were female, and 310 (53.2%) had wake-up strokes. Successful reperfusion was achieved in 493 (81.2%) patients, and 262 (44.9%) achieved 90-day mRS 0-2. The estimated odds of functional independence decreased by 13% for every 30 minute delay from emergency department (ED) arrival to imaging time and by 7% from ED arrival to the end of EVT in the entire cohort. Also, the estimated odds of functional independence decreased by 33% for every 30 minute delay in the interval from arterial puncture to end of EVT, 16% in the interval from arrival in ED to end of EVT and 6% in the interval from stroke onset to end of EVT among patients who had a wake-up stroke. Faster workflow from ED arrival to end of EVT is associated with improved functional independence among stroke patients treated in the late window.

Changes in Global Nutrition Practices in Critically Ill Children and the Influence of Emerging Evidence: A Secondary Analysis of the Pediatric International Nutrition Studies, 2009-2018

BackgroundThe timeline of the 3 Pediatric International Nutrition Studies (PINS) coincided with the publication of 2 major guidelines for the timing of parenteral nutrition (PN) and recommended energy and protein delivery dose. ObjectiveThe study's main objective was to describe changes in the nutrition delivery practice recorded in PINS1 and PINS2 (PINS1-2) (conducted in 2009 and 2011, preexposure epoch) vs PINS3 (conducted in 2018, postexposure epoch), in relation to the published practice guidelines. DesignThis study is a secondary analysis of data from a multicenter prospective cohort study. Participants/settingData from 3650 participants, aged 1 month to 18 years, admitted to 100 unique hospitals that participated in 3 PINS was used for this study. Main outcome measuresThe time in days from pediatric intensive care unit admission to the initiation of PN and enteral nutrition delivery were the primary outcomes. Prescribed energy and protein goals were the secondary outcomes. Statistical analyses performedA frailty model with a random intercept per hospital with stratified baseline hazard function by region for the primary outcomes and a mixed-effects negative binomial regression with random intercept per hospital for the secondary outcomes. ResultsThe proportion of patients receiving enteral nutrition (88.3% vs 80.6%; P < .001) was higher, and those receiving PN (20.6% vs 28.8%; P < .001) was lower in the PINS3 cohort compared with PINS1-2. In the PINS3 cohort, the odds of initiating PN during the first 10 days of pediatric intensive care unit admission were lower, compared with the PINS1-2 cohort (hazard ratio 0.8, 95% CI 0.67 to 0.95; P = .013); and prescribed energy goal was lower compared with the PINS1-2 cohort (incident rate ratio 0.918, 95% CI 0.874 to 0.965; P = .001). ConclusionsThe likelihood of initiation of PN delivery significantly decreased during the first 10 days after admission in the PINS3 cohort compared with PINS1-2. Energy goal prescription in children receiving mechanical ventilation significantly decreased in the postguidelines epoch compared with the preguidelines epoch.

Telehealth and delivery of alcohol use disorder treatment in the Veterans Health Administration.

The use of telehealth treatment of alcohol use disorder (AUD) has increased since the start of the COVID-19 pandemic. However, it is unclear which patients are using telehealth and how telehealth visits are associated with treatment duration. This study examined characteristics associated with telehealth use among Veterans Health Administrationpatients receiving AUD treatment. Using a national retrospectivecohort study, we examined data from March 01, 2020 to February 28, 2021 to: First, identify patient characteristics associated with (a) any telehealth versus only in-person care for AUD treatment, and (b) video (≥1 video visit) versus only telephone visits for AUD treatment (≥1 telephone visit, no video) among any telehealth users. This analysis used mixed-effects logistic regression models to adjust for potential correlation across patients treated at the same facility. Second, we assessed whether visit modality was associated with the amount of AUD treatment received (number of AUD psychotherapy visits or medication coverage days). This analysis used mixed-effects negative binomial regression models. Among 138,619 patients who received AUD treatment, 52.8% had ≥1 video visit, 38.1% had ≥1 telephone but no video visits, and 9.1% had only in-person visits. In the regression analyses, patients who were male or had an opioid or stimulant use disorder (compared to having no non-AUD substance use disorder) were less likely to receive any telehealth-delivered AUD treatment compared to only in-person AUD treatment. Among patients who received any telehealth-delivered AUD treatment, those who were ≥45 years old (compared to 18-29 years old), Black (compared to White), diagnosed with a cannabis or stimulant use disorder, or diagnosed with a serious mental illness were less likely to receive a video visit than only telephone visits. Receiving any AUD telehealth was associated with receiving more psychotherapy visits and medication coverage days than only in-person care. Telehealth, a common modality for AUD treatment, supported a greater number of psychotherapy visits and a longer duration of medication treatment for AUD. However, some groups were less likely to receive any video telehealth than telephone visits, suggesting that multiple treatment modalities should remain available to ensure treatment access.

Patient and provider medication preferences affect treatment outcomes among adolescents and young adults with opioid use disorder

BackgroundThe opioid epidemic in the United States has not spared youth or young adults, as evidenced by a six-fold increase in opioid use disorder (OUD) diagnoses in the last two decades. Given this dramatic rise, a call for greater uptake and accessibility of medications for opioid use disorder (MOUDs) among youth and young adults has ensued, resulting in an increasing number of MOUD treatment pathways for this vulnerable population. MethodsThis secondary data analysis seeks to characterize patient and provider preferences for MOUD treatment pathways, and test for associations between baseline MOUD treatment preferences and opioid use and treatment adherence outcomes. Participants included 288 youth and young adults (age 15–21 years), recruited from a residential treatment program in Maryland. The study assessed patient preferences at baseline (n = 253) and provider preferences at patient treatment discharge (n = 224). Mixed-effects negative binomial regression models were conducted for opioid use outcomes, and logistic regressions were conducted for treatment adherence outcomes. ResultsResults indicate that congruence of treatment with patients' (Incidence Rate Ratio [IRR] = 0.65) and providers' (IRR = 0.66) preferences was significantly associated with reduced self-reported days of opioid use in the past 90 days, but only for patients receiving extended-release naltrexone (XR-NTX). Results also indicated that patients were less likely to switch medication treatment pathways (e.g., from XR-NTX to buprenorphine, or vice versa) during follow-up if they received their preferred treatment at baseline, a finding which held true for both XR-NTX (Odds Ratio [OR] = 0.32) and buprenorphine (OR = 0.22). ConclusionsReceipt of MOUD congruent with patient and provider preferences was associated with reduced opioid use and greater treatment adherence in this sample of youth and young adults with OUD.

Rate of hospitalization and length of hospital stay during and post docetaxel for darolutamide in metastatic hormone-sensitive prostate cancer using ARASENS.

228 Background: ARASENS was a randomized, double-blind, Phase III trial of darolutamide (daro) + docetaxel + androgen deprivation therapy (ADT) vs. placebo (pbo) + docetaxel + ADT in patients with metastatic hormone sensitive prostate cancer (mHSPC). We sought to compare rates of hospitalizations and length of hospital stay (LoS) per patient due to any reason, and due to adverse events (AE) during or post docetaxel using data from ARASENS. Methods: We used mixed effects negative binomial regression to estimate time-varying rate of hospitalization and LoS by patient. Patients with records that began on the same start date were considered duplicates and were condensed into one visit, using the latest end date. Patients with multiple records with overlapping time periods were combined into one visit. A constant hospitalization rate assumption was considered inappropriate since docetaxel is administered for 6-cycles (~4.14 months). Hospitalizations that began within and after first 4 months of treatment were grouped together. Conversely, LoS was assumed to be time invariant. Results: The first 4 months of treatment (when patients were receiving docetaxel) were associated with increased hospitalization both due to any reason and to AE (Table 1). Daro was associated with a numerical reduction in rate of hospitalization (per year) due to any reason during docetaxel (0.75 days [95% CI: 0.61, 0.88]) vs. pbo (0.91 days [95% CI: 0.75, 1.07]) and after docetaxel (0.31 days [95% CI: 0.26, 0.37]) vs. pbo (0.38 days [95% CI: 0.31, 0.45]). A similar trend was observed for hospitalizations due to AE. Daro was associated with a marginally longer LoS per hospitalization compared with pbo (+1.90 days). Similar results were seen for LoS due to AE (+1.67 days). Conclusions: Daro was associated with a numerically lower rate of hospitalization, but marginally longer LoS compared to pbo. A lower rate of hospitalization was observed post docetaxel as opposed to during docetaxel. Clinical trial information: NCT102799602 . [Table: see text]

A State-Wide Initiative to Improve Health System Responses to People With Borderline Personality Disorder Symptoms in Crisis: A Retrospective Audit.

Gold Card SA is a four-session structured psychological intervention offered soon after an acute crisis presentation to people with symptoms characteristic of borderline personality disorder. This study describes individual and system-level outcomes from a large-scale health-care improvement initiative to implement Gold Card SA across South Australia. An uncontrolled pre-post study design was utilized examining service user (n = 332) patient-reported outcome measures and hospital service utilization records (6 months before and after Gold Card SA). Mixed-effects negative binomial regression analysis revealed a significant decrease in rates of service utilization across emergency department presentations (63%), mental health-related inpatient admissions (65%), and bed days (82%). Linear mixed-effect regression indicated large reductions in borderline symptoms and nonspecific psychological distress, and small to moderate improvements in psychosocial functioning. People presenting with or experiencing borderline personality disorder symptoms may benefit from a brief crisis intervention embedded within a stepped care model.

The effect of smaller classes on infection-related school absence: evidence from the Project STAR randomized controlled trial

BackgroundIn an effort to reduce viral transmission, many schools reduced class sizes during the recent pandemic. Yet the effect of class size on transmission is unknown.MethodsWe used data from Project STAR, a randomized controlled trial in which 10,816 Tennessee elementary students were assigned at random to smaller classes (13 to 17 students) or larger classes (22 to 26 students) in 1985-89. We merged Project STAR schools with data on local deaths from pneumonia and influenza in the 122 Cities Mortality Report System. Using mixed effects linear, Poisson, and negative binomial regression, we estimated the main effect of smaller classes on absence. We used an interaction to test whether the effect of small classes on absence was larger when and where community pneumonia and influenza prevalence was high.ResultsSmall classes reduced absence by 0.43 days/year (95% CI -0.06 to -0.80, p < 0.05), but small classes had no significant interaction with community pneumonia and influenza mortality (95% CI -0.27 to + 0.30, p > 0.90), indicating that the reduction in absence due to small classes was not larger when community disease prevalence was high.ConclusionSmall classes reduced absence, but the reduction was not larger when disease prevalence was high, so the reduction in absence was not necessarily achieved by reducing infection. Small classes, by themselves, may not suffice to reduce the spread of respiratory viruses.

Effectiveness of SARS-CoV-2 primary vaccines and boosters in patients with type 2 diabetes mellitus in Hungary (HUN-VE 4 Study)

IntroductionType 2 diabetes mellitus is a risk factor for severe COVID-19 infection and is associated with increased risk of complications. The present study aimed to investigate effectiveness and persistence of...

Mortality risk on farm and during transport: a comparison of 2 broiler hybrids with different growth rates

Mortality in broilers is often associated with poor health and welfare and has a complex and multifactorial etiology. Recent studies under experimental conditions indicated that genetic selection for fast growth is an important risk factor for mortality in broiler chickens. However, the knowledge on broiler mortality in general, and in slower growing broilers in particular, under commercial conditions is still limited. This retrospective cohort study aimed to describe mortality risk on farm and during transport in two broiler hybrids with different growth rates, Ross 308, and Hubbard JA787, and to estimate the association between hybrid and mortality at different stages of the production cycle. The study sample consisted of 64 651 804 broilers from 4 228 flocks and 139 farms slaughtered from January 1st, 2015, to June 22nd, 2021. Analysis of on-farm mortality was restricted to broiler flocks slaughtered in the period July 2017- July 2018 due to changes known to affect FWM. The effect of hybrid on mortality during three different production stages (first week mortality (FWM), Mortality after the first week (MAFW), and mortality during transport (DOA)), was assessed using mixed effect negative binomial regression models. Descriptively, there were notable differences in mortality at all stages of the production cycle, with higher mean mortalities in Ross 308 (1.40% FWM, 3.05% MAFW and 0.063% DOA) than in Hubbard JA787 (0.76% FWM, 1.49% MAFW and 0.015% DOA). In the analysis, the largest estimated difference was found for dead on arrival under cold conditions, where mortality was almost five times higher in Ross 308 compared to Hubbard JA 787 (IRR: 4.70, 95% CI: 3.74-5.90). The estimated difference in FWM between hybrids was highest during autumn, with an estimated risk approximately 1.6 times higher in Ross than in Hubbard (IRR: 1.56, 95% CI: 1.30-1.86). For MAFW, the estimated risk was approximately 2 times higher in Ross than in Hubbard (IRR: 2.13 95% CI: 1.82-2.49). The findings in this study emphasize the need for more knowledge on causes of mortality in broilers including effects of genetic factors as basis for preventive measures.

Emergency Free School Meal Distribution During the COVID-19 Pandemic in High-Poverty Urban Settings

BackgroundThe coronavirus disease 2019 pandemic triggered nationwide school closures in March 2020, putting millions of children in the United States who were reliant on subsidized school meals at risk of experiencing hunger. In response, the US Department of Agriculture mobilized the Summer Food Service Program and Seamless Summer Option program to provide emergency free school meals. There is a need to investigate the effectiveness of these programs in covering underresourced communities during the pandemic. ObjectiveThis study assessed associations between meal distribution and census tract demographics (ie, poverty level, race/ethnicity, and deprivation level based on social deprivation index score). DesignAn observational study using longitudinal meal distribution data collected over an 18-month period following school closures (March 2020 to August 2021). Participants and settingMonthly meal distribution data were collected for community sites serving 142 census tracts within 4 urban New Jersey cities predominantly populated by people with low incomes and from racial and ethnic minority groups. Main outcome measuresMain outcome measures were the number of meals served monthly by Summer Food Service Program and Seamless Summer Option meal sites. Statistical analyses performedA 2-part multivariable regression approach was used to analyze the data. ResultsIn the first step, logistic regression models showed that high-deprivation tracts were more likely to serve meals during the observed period (odds ratio 3.43, 95% CI 1.001 to 11.77; P = 0.0499). In the second step, among tracts that served any meals during the observed period, mixed effects negative binomial regression models showed that high-poverty and high-deprivation tracts served comparatively more meals (incidence rate ratio [IRR] 2.83, 95% CI 2.29 to 3.51; P < 0.001 and IRR 1.94, 95% CI 1.65 to 2.28; P < 0.001, respectively). ConclusionsFindings show that meal distribution during the pandemic was higher within census tracts with higher poverty and deprivation levels, indicating that underresourced communities with higher need had more free meals available during this unprecedented public health emergency.

Investigating the association between characteristics of local crisis care systems and service use in an English national survey.

In England, a range of mental health crisis care models and approaches to organising crisis care systems have been implemented, but characteristics associated with their effectiveness are poorly understood. To (a) develop a typology of catchment area mental health crisis care systems and (b) investigate how crisis care service models and system characteristics relate to psychiatric hospital admissions and detentions. Crisis systems data were obtained from a 2019 English national survey. Latent class analyses were conducted to identify discernible typologies, and mixed-effects negative binomial regression models were fitted to explore associations between crisis care models and admissions and detention rates, obtained from nationally reported data. No clear typology of catchment area crisis care systems emerged. Regression models suggested that provision of a crisis telephone service within the local crisis system was associated with a 11.6% lower admissions rate and 15.3% lower detention rate. Provision of a crisis cafe was associated with a 7.8% lower admission rates. The provision of a crisis assessment team separate from the crisis resolution and home treatment service was associated with a 12.8% higher admission rate. The configuration of crisis care systems varies considerably in England, but we could not derive a typology that convincingly categorised crisis care systems. Our results suggest that a crisis phone line and a crisis cafe may be associated with lower admission rates. However, our findings suggest crisis assessment teams, separate from home treatment teams, may not be associated with reductions in admission and detentions.

Association of Personal Wealth Indicators and Health Care Costs in Persons With Alzheimer's Disease

ObjectivesThere is paucity of studies on the relationship between personal wealth and health care costs among persons with dementia, and earlier studies on other indicators of socioeconomic position have assessed costs after dementia diagnosis only. We investigated how different indicators of personal wealth (disposable income, supplementary income, assets subject to taxation, taxes and tax-like payments, and liabilities) are associated with health care costs in persons with Alzheimer's disease (AD) before and after AD diagnosis. DesignRegister-based nationwide cohort study of persons with AD. Setting and ParticipantsCohort of 70,531 people who received a clinically verified AD diagnosis in Finland between 2005 and 2011 and were community-dwelling at time of diagnosis. MethodsData on income indicators were obtained from Statistics Finland. Data on medication costs and hospital care costs for the 12-month period from 5 years before to 2 years after AD diagnosis were obtained from national registers. Associations of wealth indicators with costs were investigated with multivariate mixed-effect negative binomial regression. ResultsAfter adjustment for age, region, sex, marital status, comorbidities, expensive medications, use of psychotropic and antidementia medication, and highest occupational class before AD, people with higher levels of personal wealth indicators were more likely to have higher total health care costs along the whole follow-up period. The incidence rate ratios (IRRs), 95% CI for highest quintile vs lowest quintile were 1.17, 1.15−1.19 for disposable income, 1.10, 1.08−1.12 for taxable income, 1.18, 1.16−1.19 for supplementary income, 1.07, 1.06−1.09 for taxes, and 1.05, 1.04−1.07 for taxable wealth. Conclusions and ImplicationsOur observation on the association between income/wealth indicators and health care costs in a country with a strong public health care system call for more effective measures in targeting health inequalities in the aging population. Although the different indicators were not completely interchangeable, associations of different indicators were toward the same direction.

Association of Socioeconomic Factors and Severity of Bronchiolitis Hospitalizations.

It is unclear if socioeconomic status (SES) factors influence severity of illness of patients hospitalized with bronchiolitis. This study was conducted to identify SES factors including the Center for Disease Control and Prevention's Social Vulnerability Composite Index (SVI), estimated income, proportion of minority, proportion of living below poverty, insurance status, and number of household members associated with length of stay (LOS) and intensive care unit admission. Infants hospitalized at a tertiary care urban center for bronchiolitis were identified using International Classification of Diseases codes. Federal information processing system codes were identified from home address and paired with SVI and 2018 census tract. Other measures of SES were obtained from the Federal Financial Institutions Examination Council. Number of household members, insurance, age, sex, and history of prematurity were recorded from patient chart. Length of stay was modeled with mixed effects negative binomial regression and pediatric intensive care unit (PICU) admission with mixed effects logistic regression with random intercept at the census tract and adjustment for clinical factors. A total of 417 infants had median age of 144 days (interquartile range (IQR): 61, 357) and 136 (33%) were born premature. Median LOS was 62 hours (24, 136) with 97 (23%) patients admitted to the PICU. Median household members were 4 (4, 5). For each increase in household member, there was 7% increase in LOS (incidence rate ratio 1.07, 95% confidence interval: 1-1.14, P = .038). Social Vulnerability Composite Index, subcategories, insurance status, estimated income, percent of minority, and percent of poverty did not show any associations with length of hospitalization or PICU admission. Increasing number of household members may be associated with increased bronchiolitis hospital LOS. We find no associations with other SES measures.

Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts

Occupational exposure to SARS-CoV-2 varies by profession, but “essential workers” are often considered in aggregate in COVID-19 models. This aggregation complicates efforts to understand risks to specific types of workers or industries and target interventions, specifically towards non-healthcare workers. We used census tract-resolution American Community Survey data to develop novel essential worker categories among the occupations designated as COVID-19 Essential Services in Massachusetts. Census tract-resolution COVID-19 cases and deaths were provided by the Massachusetts Department of Public Health. We evaluated the association between essential worker categories and cases and deaths over two phases of the pandemic from March 2020 to February 2021 using adjusted mixed-effects negative binomial regression, controlling for other sociodemographic risk factors. We observed elevated COVID-19 case incidence in census tracts in the highest tertile of workers in construction/transportation/buildings maintenance (Phase 1: IRR 1.32 [95% CI 1.22, 1.42]; Phase 2: IRR: 1.19 [1.13, 1.25]), production (Phase 1: IRR: 1.23 [1.15, 1.33]; Phase 2: 1.18 [1.12, 1.24]), and public-facing sales and services occupations (Phase 1: IRR: 1.14 [1.07, 1.21]; Phase 2: IRR: 1.10 [1.06, 1.15]). We found reduced case incidence associated with greater percentage of essential workers able to work from home (Phase 1: IRR: 0.85 [0.78, 0.94]; Phase 2: IRR: 0.83 [0.77, 0.88]). Similar trends exist in the associations between essential worker categories and deaths, though attenuated. Estimating industry-specific risk for essential workers is important in targeting interventions for COVID-19 and other diseases and our categories provide a reproducible and straightforward way to support such efforts.

Race/Ethnicity, Nativity, and Gender Disparities in Unmet Care Needs Among Older Adults in the United States.

Although disparities in disability and the unequal distribution of care resources are widely discussed in the literature, there has been less research on disparities in experiencing unmet care needs among older adults. This study aims to investigate how unmet care needs are unevenly distributed across social groups with various intersecting identities, such as race/ethnicity, nativity, and gender, although considering their care needs and care networks, drawing on the conceptual framework of the pathway to unmet needs. The data for this study came from the National Health and Aging Trends Study (2011-2018), and the study sample consisted of 7,061 Medicare beneficiaries who needed assistance with daily activities. Questions about unmet care needs were in the form of consequences related to difficulty or lack of help with daily activities. Mixed-effects negative binomial regression models were used to predict rates of unmet needs. Older adults of color, especially women, experienced higher rates of unmet care needs compared with their White and male counterparts. Although Black-White and gender differences in unmet needs were mostly explained by unequal exposures to care needs and differential care networks, Hispanic women and foreign-born Hispanic men were still at a disadvantage even after adjusting for these covariates. These results emphasize the importance of adopting an intersectional approach to enhance the quality of long-term services and support for older adults facing social disadvantages.

Association of Hospital Procedural Volume With Outcomes of Left Ventricular Assist Device Placement

With the advancement in device technology, the use of durable left ventricular assist devices (LVADs) has increased significantly in recent years. However, there is a dearth of evidence to conclude whether patients who undergo LVAD implantation at high-volume centers have better clinical outcomes than those receiving care at low- or medium-volume centers. We analyzed the hospitalizations using the Nationwide Readmission Database for the year 2019 for new LVAD implantation. Baseline comorbidities and hospital characteristics were compared among low- (1-5 procedures/year), medium- (6-16 procedures/year) and high-volume (17-72 procedures/year) hospitals. The volume/outcome relationship was analyzed using the annualized hospital volume as a categorical variable (tertiles) as well as a continuous variable. Multilevel mixed-effect logistic regression and negative binomial regression models were used to determine the association of hospital volume and outcomes, with tertile 1 (low-volume hospitals) as the reference category. A total of 1533 new LVAD procedures were included in the analysis. The inpatient mortality rate was lower in the high-volume centers compared with the low-volume centers (9.04% vs 18.49%, aOR 0.41, CI0.21-0.80; P = 0.009). There was a trend toward lower mortality rates in medium-volume centers compared with low-volume centers; however, it did not reach statistical significance (13.27% vs 18.49%, aOR 0.57, CI0.27-1.23; P = 0.153). Similar results were seen for major adverse events (composite of stroke/transient ischemic attack and in-hospital mortality). There was no significant difference in bleeding/transfusion, acute kidney injury, vascular complications, pericardial effusion/hemopericardium/tamponade, length of stay, cost, or 30-day readmission rates between medium- and high-volume centers compared to low-volume centers. Our findings indicate lower inpatient mortality rates in high-volume LVAD implantation centers and a trend toward lower mortality rates in medium-volume LVAD implantation centers compared to lower-volume centers.