Comparison of the characteristics of the population eligible for lung cancer screening under 2013 and population newly eligible under 2021 US Preventive Services Task Force recommendations.

PURPOSE: In 2021, the United States Preventive Services Task Force (USPSTF) revised their 2013 recommendations for lung cancer screening eligibility by lowering the pack-year history from 30+ to 20+ pack-years and the recommended age from 55 to 50 years. Simulation studies suggest that Black persons and females will benefit most from these changes, but it is unclear how the revised USPSTF recommendations will impact geographic, health-related, and other sociodemographic characteristics of those eligible. METHODS: This cross-sectional study employed data from the 2017-2020 Behavioral Risk Factor Surveillance System surveys from 23 states to compare age, gender, race, marital, sexual orientation, education, employment, comorbidity, vaccination, region, and rurality characteristics of the eligible population according to the original 2013 USPSTF recommendations with the revised 2021 USPSTF recommendations using chi-squared tests. This study compared those originally eligible to those newly eligible using the BRFSS raking-dervived weighting variable. RESULTS: There were 30,190 study participants. The results of this study found that eligibility increased by 62.4% due to the revised recommendations. We found that the recommendation changes increased the proportion of eligible females (50.1% vs 44.1%), Black persons (9.2% vs 6.6%), Hispanic persons (4.4% vs 2.7%), persons aged 55-64 (55.8% vs 52.6%), urban-dwellers(88.3% vs 85.9%), unmarried (3.4% vs 2.5%) and never married (10.4% vs 6.6%) persons, as well as non-retirees (76.5% vs 56.1%) Respondents without comorbidities and COPD also increased. CONCLUSION: It is estimated that the revision of the lung cancer screening recommendations decreased eligibility disparities in sex, race, ethnicity, marital status, respiratory comorbidities, and vaccination status. Research will be necessary to estimate whether uptake patterns subsequently follow the expanded eligibility patterns.

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study.

BACKGROUND AND AIMS: Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D). METHODS: Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders. RESULTS: High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results. CONCLUSIONS: Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Association of Housing Instability with Obesity Status Among Insured Adults.

INTRODUCTION: Obesity affects four in ten US adults. One of the most prevalent health-related social risk factors in the US is housing instability, which is also associated with cardiovascular health outcomes, including obesity. The objective of this research brief is to examine the association between housing instability with obesity status among a representative sample of insured adults across seven integrated health systems. METHODS: Kaiser Permanente National Social Needs Survey used a multistage stratified sampling framework to administer a cross-sectional survey across seven integrated health systems (administered Jan.-Sept. 2020). Survey data were linked with electronic health records (EHR). Housing instability was categorized into levels of risk: 1) 'No Risk'; 2) 'Moderate Risk'; and 3) 'Severe Risk'. Based on established BMI thresholds, obesity and severe obesity served as the primary outcome variables. In 2023, weighted multivariable logistic regression accounted for the complex sampling design and response probability and controlled for covariates. RESULTS: The analytic cohort comprised 6,397 adults. Unadjusted weighted prevalence of obesity and severe obesity was 31.1% and 5.3%, respectively; and 15.5% reported housing instability. Adjusted regression models showed that the odds of severe obesity was nearly double among adults exposed to severe housing instability (Adjusted OR=1.93; 95% CI 1.14-3.26). Other BMI categories were not associated with housing instability. CONCLUSIONS: Among a representative cohort of insured adults, this study suggested increasing levels of housing instability are associated with increasing levels of obesity. Future research should further explore the temporal, longitudinal, and independent association of housing instability with obesity.

Type 2 diabetes and health-related quality of life among older Medicare beneficiaries: The mediating role of sleep.

OBJECTIVE: To examine mediating effects of sleep quality and duration on the association between T2D and QoL among Medicare beneficiaries 65+. METHODS: Data from the Medicare Health Outcome Survey (2015-2020) were used. The outcome was QoL (physical and mental health component-summary scores [PCS and MCS]) measured by the Veterans-Rand-12. The main predictor was diagnosed T2D. Mediators were sleep duration and sleep quality. The effect modifier was race/ethnicity. Structural Equation Modeling was used to estimate moderated-mediating effects of sleep quality and duration across race/ethnicity. RESULTS: Of the 746,400 Medicare beneficiaries, 26.7% had T2D, and mean age was 76 years (SD ± 6.9). Mean PCS score was 40 (SD ± 12.2), and mean MCS score was 54.0 (SD ± 10.2). Associations of T2D with PCS and MCS were negative and significant. For all racial/ethnic groups, those with T2D reported lower PCS. For White, Black, Asian, and Hispanic beneficiaries only, those with T2D reported lower MCS. The negative impact of T2D on PCS and MCS was mediated through sleep quality, especially very bad sleep quality. CONCLUSION: Improving sleep may lead to improvement in QoL in elderly adults with T2D.

Mid- and long-term risk of atrial fibrillation among breast cancer surgery survivors.

BACKGROUND: The risk of incident atrial fibrillation (AF) among breast cancer survivors, especially for younger women, and cancer treatment effects on the association remain unclear. This study aimed to investigate the risk of AF among breast cancer survivors and evaluate the association by age group, length of follow-up, and cancer treatment. METHODS: Using data from the Korean Health Insurance Service database (2010-2017), 113,232 women newly diagnosed with breast cancer (aged ≥ 18 years) without prior AF history who underwent breast cancer surgery were individually matched 1:5 by birth year to a sample female population without cancer (n = 566,160) (mean[SD] follow-up, 5.1[2.1] years). Sub-distribution hazard ratios (sHRs) and 95% confidence intervals (CIs) considering death as a competing risk were estimated, adjusting for sociodemographic factors and cardiovascular/non-cardiovascular comorbidities. RESULTS: BCS had a slightly increased AF risk compared to their cancer-free counterparts (sHR 1.06; 95% CI 1.00-1.13), but the association disappeared over time. Younger BCS (age < 40 years) had more than a 2-fold increase in AF risk (sHR 2.79; 95% CI 1.98-3.94), with the association remaining similar over 5 years of follow-up. The increased risk was not observed among older BCS, especially those aged > 65 years. Use of anthracyclines was associated with increased AF risk among BCS (sHR 1.57; 95% CI 1.28-1.92), which was more robust in younger BCS (sHR 1.94; 95% CI 1.40-2.69 in those aged ≤ 50 years). CONCLUSIONS: Our findings suggest that younger BCS had an elevated risk of incident AF, regardless of the length of follow-up. Use of anthracyclines may be associated with increased mid-to-long-term AF risk among BCS.

Racial and skin color mediated disparities in pulse oximetry in infants and young children.

Race-based and skin pigmentation-related inaccuracies in pulse oximetry have recently been highlighted in several large electronic health record-based retrospective cohort studies across diverse patient populations and healthcare settings. Overestimation of oxygen saturation by pulse oximeters, particularly in hypoxic states, is disparately higher in Black compared to other racial groups. Compared to adult literature, pediatric studies are relatively few and mostly reliant on birth certificates or maternal race-based classification of comparison groups. Neonates, infants, and young children are particularly susceptible to the adverse life-long consequences of hypoxia and hyperoxia. Successful neonatal resuscitation, precise monitoring of preterm and term neonates with predominantly lung pathology, screening for congenital heart defects, and critical decisions on home oxygen, ventilator support and medication therapies, are only a few examples of situations that are highly reliant on the accuracy of pulse oximetry. Undetected hypoxia, especially if systematically different in certain racial groups may delay appropriate therapies and may further perpetuate health care disparities. The role of biological factors that may differ between racial groups, particularly skin pigmentation that may contribute to biased pulse oximeter readings needs further evaluation. Developmental and maturational changes in skin physiology and pigmentation, and its interaction with the operating principles of pulse oximetry need further study. Importantly, clinicians should recognize the limitations of pulse oximetry and use additional objective measures of oxygenation (like co-oximetry measured arterial oxygen saturation) where hypoxia is a concern.

Maximizing Readmission Reduction in Colon Cancer Patients.

INTRODUCTION: Multiple studies have identified risk factors for readmission in colon cancer patients. We need to determine which risk factors, when modified, produce the greatest decrease in readmission for patients so that limited resources can be used most effectively by implementing targeted evidence-based performance improvements. We determined the potential impact of various modifiable risk factors on reducing 30-d readmission in colon cancer patients. METHODS: We used a cohort design with the 2012-2020 American College of Surgeons' National Surgical Quality Improvement Program data to track colon cancer patients for 30 d following surgery. Colon cancer patients who received colectomies and were discharged alive were included. Readmission (to the same or another hospital) for any reason within 30 d of the resection was the outcome measure. Modifiable risk factors were the use of minimally invasive surgery (MIS) versus open colectomy, mechanical bowel preparation, preoperative antibiotic use, functional status, smoking, complications (deep vein thrombosis, pulmonary embolism, myocardial infarction, stroke, infections, anastomotic leakage, prolonged postoperative ileus, extensive blood loss, and sepsis), serum albumin, and hematocrit. RESULTS: 111,691 patients with colon cancer were included in the analysis. About half of the patients were male, most were aged 75 or older, and were discharged home. Overall, 11,138 patients (10.0%) were readmitted within 30 d of surgery. In adjusted analysis, the reduction in readmission would be largest by preventing both prolonged ileus and by switching open colectomies to MIS (28.0% relative reduction) followed by preventing anastomotic leaks (6.2% relative reduction). Improving other modifiable risk factors would have a more limited impact. CONCLUSIONS: The focus of readmission reduction should be on preventing prolonged ileus, increasing the use of MIS, and preventing anastomotic leaks.

Ecological Momentary Assessment of Midlife Adults' Daily Stress: Protocol for the Stress Reports in Variable Environments (STRIVE) App Study.

BACKGROUND: Daily stressors are associated with cognitive decline and increased risk of heart disease, depression, and other debilitating chronic illnesses in midlife adults. Daily stressors tend to occur at home or at work and are more frequent in urban versus rural settings. Conversely, spending time in natural environments such as parks or forests, or even viewing nature-themed images in a lab setting, is associated with lower levels of perceived stress and is hypothesized to be a strong stress "buffer," reducing perceived stress even after leaving the natural setting. However, many studies of daily stress have not captured environmental contexts and relied on end-of-day recall instead of in-the-moment data capture. With new technology, these limitations can be addressed to enhance knowledge of the daily stress experience. OBJECTIVE: We propose to use our novel custom-built Stress Reports in Variable Environments (STRIVE) ecological momentary assessment mobile phone app to measure the experience of daily stress of midlife adults in free-living conditions. Using our app to capture data in real time will allow us to determine (1) where and when daily stress occurs for midlife adults, (2) whether midlife adults' daily stressors are linked to certain elements of the built and natural environment, and (3) how ecological momentary assessment measurement of daily stress is similar to and different from a modified version of the popular Daily Inventory of Stressful Events measurement tool that captures end-of-day stress reports (used in the Midlife in the United States [MIDUS] survey). METHODS: We will enroll a total of 150 midlife adults living in greater Indianapolis, Indiana, in this study on a rolling basis for 3-week periods. As those in underrepresented minority groups and low-income areas have previously been found to experience greater levels of stress, we will use stratified sampling to ensure that half of our study sample is composed of underrepresented minorities (eg, Black, American Indian, Hispanic, or Native Pacific Islanders) and approximately one-third of our sample falls within low-, middle-, and high-income brackets. RESULTS: This project is funded by the National Institute on Aging from December 2022 to November 2024. Participant enrollment began in August 2023 and is expected to finish in July 2024. Data will be spatiotemporally analyzed to determine where and when stress occurs for midlife adults. Pictures of stressful environments will be qualitatively analyzed to determine the common elements of stressful environments. Data collected by the STRIVE app will be compared with retrospective Daily Inventory of Stressful Events data. CONCLUSIONS: Completing this study will expand our understanding of midlife adults' experience of stress in free-living conditions and pave the way for data-driven individual and community-based intervention designs to promote health and well-being in midlife adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51845.

Adherence to Extended Venous Thromboembolism Prophylaxis and Outcomes After Complex Gastrointestinal Oncologic Surgery.

BACKGROUND: Clinical guidelines recommend extended venous thromboembolism (VTE) prophylaxis for cancer patients after major gastrointestinal (GI) operations. However, adherence to the guidelines has been low, and the clinical outcomes not well defined. METHODS: This study retrospectively analyzed a random 10 % sample of the 2009-2022 IQVIA LifeLink PharMetrics Plus database, an administrative claims database representative of the commercially insured population of the United States. The study selected cancer patients undergoing major pancreas, liver, gastric, or esophageal surgery. The primary outcomes were 90-day post-discharge VTE and bleeding. RESULTS: The study identified 2296 unique eligible operations. During the index hospitalization, 52 patients (2.2 %) experienced VTE, 74 patients (3.2 %) had postoperative bleeding, and 140 patients (6.1 %) had a hospital stay of at least 28 days. The remaining 2069 operations comprised 833 pancreatectomies, 664 hepatectomies, 295 gastrectomies, and 277 esophagectomies. The median age of the patients was 49 years, and 44 % were female. Extended VTE prophylaxis prescriptions were filled for 176 patients (10.4 % for pancreas, 8.1 % for liver, 5.8 % for gastric cancer, and 6.5 % for esophageal cancer), and the most used agent was enoxaparin (96 % of the patients). After discharge, VTE occurred for 5.2 % and bleeding for 5.2 % of the patients. The findings showed no association of extended VTE prophylaxis with post-discharge VTE (odds ratio [OR], 1.54; 95 % confidence interval [CI], 0.81-2.96) or bleeding (OR, 0.72, 95 % CI, 0.32-1.61). CONCLUSIONS: The majority of the cancer patients undergoing complex GI surgery did not receive extended VTE prophylaxis according to the current guidelines, and their VTE rate was not higher than for the patients who received it.

Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use.

This study applied Andersen's Behavioral Model of Health Services Use to examine predisposing, enabling, and need factors associated with adherence to the United States Preventive Services Task Force (USPSTF) guidelines for breast cancer screening (BCS). Multivariable logistic regression was used to determine factors of BCS services utilization among 5484 women aged 50-74 from the 2019 National Health Interview Survey. Predisposing factors significantly associated with use of BCS services were: being a Black (odds-ratios [OR]:1.49; 95% confidence interval [CI]:1.14-1.95) or a Hispanic woman (OR:2.25; CI:1.62-3.12); being married/partnered (OR:1.32, CI:1.12-1.55); having more than a bachelor's degree (OR: 1.62; CI:1.14-2.30); and living in rural areas (OR:0.72; CI:0.59-0.92). Enabling factors were: poverty level [≤138% federal poverty level (FPL) (OR:0.74; CI:0.56-0.97), >138-250% FPL (OR:0.77; CI:0.61-0.97), and > 250-400% FPL (OR:0.77; CI:0.63-0.94)]; being uninsured (OR:0.29; CI:0.21-0.40); having a usual source of care at a physician office (OR:7.27; CI:4.99-10.57) or other healthcare facilities (OR:4.12; CI:2.68-6.33); and previous breast examination by a healthcare professional (OR:2.10; CI:1.68-2.64). Need factors were: having fair/poor health (OR:0.76; CI:0.59-0.97) and being underweight (OR:0.46; CI:0.30-0.71). Disparities in BCS services utilization by Black and Hispanic women have been reduced. Disparities still exist for uninsured and financially restrained women living in rural areas. Addressing disparities in BCS uptake and improving adherence to USPSTF guidelines may require revamping policies that address disparities in enabling resources, such as health insurance, income, and health care access.

Insurance Coverage and Forgoing Medical Appointments Because of Cost Among Cancer Survivors After 2016.

PURPOSE: The uninsured rate began rising after 2016, which some have attributed to health policies undermining aspects of the Affordable Care Act. Our primary objectives were to assess the changes in insurance coverage and forgoing medical care because of cost in cancer survivors from pre-enactment (2016) through postenactment of those policies (2019) and determine whether there were subgroups that were disproportionately affected. METHODS: The 2016-2019 Behavioral Risk Factor Surveillance System surveys were queried for 18- to 64-year-old cancer survivors. Survey-weighted logistic regression was used to assess temporal changes in (1) insurance coverage and (2) forgoing medical appointments because of cost in the preceding 12 months. RESULTS: A total of 62,669 cancer survivors were identified. The percentage of insured cancer survivors decreased from 92.4% in 2016 to 90.4% in 2019 (odds ratio for change in insurance coverage or affordability per one-year increase [ORyear], 0.92; 95% CI, 0.86 to 0.98; P = .01), translating to 161,000 fewer cancer survivors in the United States with insurance coverage. There were decreases in employer-sponsored insurance coverage (ORyear, 0.89) but increases in Medicaid coverage (ORyear, 1.17) from 2016 to 2019. Forgoing medical appointments because of cost increased from 17.9% in 2016 to 20.0% in 2019 (ORyear, 1.05; 95% CI, 1.01 to 1.1; P = .025), affecting an estimated 169,000 cancer survivors. The greatest changes were observed among individuals with low income, particularly those residing in nonexpansion states. CONCLUSION: Between 2016 and 2019, there were 161,000 fewer cancer survivors in the United States with insurance coverage, and 169,000 forwent medical care because of cost.

Validating a spatio-temporal model of observed neighborhood physical disorder.

This study tested spatio-temporal model prediction accuracy and concurrent validity of observed neighborhood physical disorder collected from virtual audits of Google Street View streetscapes. We predicted physical disorder from spatio-temporal regression Kriging models based on measures at three dates per each of 256 streestscapes (n = 768 data points) across an urban area. We assessed model internal validity through cross validation and external validity through Pearson correlations with respondent-reported perceptions of physical disorder from a breast cancer survivor cohort. We compared validity among full models (both large- and small-scale spatio-temporal trends) versus large-scale only. Full models yielded lower prediction error compared to large-scale only models. Physical disorder predictions were lagged at uniform distances and dates away from the respondent-reported perceptions of physical disorder. Correlations between perceived and observed physical disorder predicted from the full model were higher compared to that of the large-scale only model, but only at locations and times closest to the respondent's exact residential address and questionnaire date. A spatio-temporal Kriging model of observed physical disorder is valid.

Parent/guardian intentions to vaccinate children against COVID-19 in the United States.

Vaccination is critical for protecting adults and children from COVID-19 infection, hospitalization, and death. Analyzing subsamples of parent/guardians of children age 0-11 (n = 343) and 12-17 (n = 322) from a larger national survey of US adults (n = 2,022), we aimed to assess intentions to vaccinate children and how intentions might vary across parent/guardian sociodemographic characteristics, healthcare coverage, vaccination status, political affiliation, prior COVID-19 infection, exposure to COVID-19 death(s) of family or friends, perceived norms of vaccination, and COVID-19 vaccine hesitancy. We also report the prevalence of vaccinated children for parents whose oldest child was eligible for vaccination at the time of the survey. More than one third of parents whose oldest child was not yet eligible for vaccination (11 or younger) planned to get them vaccinated right away when a vaccine became available to them. Among parents whose child was eligible to be vaccinated (age 12-17 years), approximately a third reported their child had already been vaccinated and approximately a third planned to do so right away. Intentions to vaccinate children age 0 to 11 were significantly associated with age, gender, race/ethnicity, education, COVID-19 vaccination, political affiliation, social norms, and COVID-19 vaccine hesitancy. Intentions to vaccinate children age 12 to 17 were significantly associated with age, education, healthcare coverage, COVID-19 vaccination, political affiliation, social norms, and COVID-19 vaccine hesitancy. We discuss implications for public health officials and for future research.

Evaluation of the effectiveness of an automated sepsis predictive tool on patient outcomes.

PURPOSE: To evaluate the effectiveness of a multidisciplinary, hospital-wide program as part of an electronic sepsis alert tool. MATERIALS AND METHODS: We used data from 15 hospitals about adult patients with severe sepsis or septic shock. Nine intervention hospitals implemented an Epic sepsis prediction tool, education, and standardized order sets (six control hospitals did not). A difference-in-difference approach evaluated their effectiveness: 1) pre-implementation period (January 1, 2016-November 15, 2018) and 2) implementation period (November 16, 2018-June 30, 2019). RESULTS: Outcomes included mortality, receipt of the SEP-1 bundle of care, broad spectrum antibiotic use, ICU stay, and length of stay of 6926 patients. The difference of 6.7 percentage points between the intervention and control groups in SEP-1 bundle completion was not statistically significant (p = 0.105). The increase over time for antibiotic administration ≤1 h of time zero was not larger for hospitals in the intervention group (11.7%) compared to the control-group (7.6%, p = 0.084). Differences among hospitals in both groups were not statistically different for mortality (p = 0.174), ICU stays (p = 0.174), and length of stay (p = 0.652) from pre- to implementation period. CONCLUSIONS: The intervention to facilitate timely sepsis care did not improve patient outcomes among those with severe sepsis or septic shock.

Influence of Neighborhood Conditions on Recurrent Hospital Readmissions in Patients with Heart Failure: A Cohort Study.

PURPOSE: This study examined how certain aspects of residential neighborhood conditions (ie, observed built environment, census-based area-level poverty, and perceived disorder) affect readmission in urban patients with heart failure. METHODS: A total of 400 patients with heart failure who were discharged alive from an urban-university teaching hospital were enrolled. Data were collected about readmissions during a 2-year follow-up. The impact of residential neighborhood conditions on readmissions was examined with adjustment for 7 blocks of covariates: 1) patient demographic characteristics; 2) comorbidities; 3) clinical characteristics; 4) depression; 5) perceived stress; 6) health behaviors; and 7) hospitalization characteristics. RESULTS: A total of 83.3% of participants were readmitted. Participants from high-poverty census tracts (≥20%) were at increased risk of readmission compared with those from census tracts with <10% poverty (hazard ratio [HR]: 1.53; 95% confidence interval: 1.03-2.27; P < .05) when adjusted for demographic characteristics. None of the built environmental or perceived neighborhood conditions were associated with the risk of readmission. The poverty-related risk of readmission was reduced to nonsignificance after including diabetes (HR: 1.33) and hypertension (HR: 1.35) in the models. CONCLUSIONS: The effect of high poverty is partly explained by high rates of hypertension and diabetes in these areas. Improving diabetes and blood pressure control or structural aspects of impoverished areas may help reduce hospital readmissions.

Parents' and Guardians' Intentions to Vaccinate Children against COVID-19.

A cross-sectional survey design was used to assess Arkansas parents'/guardians' intentions to vaccinate their child against COVID-19. Parents/guardians whose oldest child was age 0-11 years (n = 171) or 12-17 years (n = 198) were recruited between 12 July and 30 July 2021 through random digit dialing. Among parents/guardians with an age-eligible child, age 12-17, 19% reported their child had been vaccinated, and 34% reported they would have their child vaccinated right away. Among parents/guardians with a child aged 0-11, 33% of parents/guardians reported they would have their child vaccinated right away. Twenty-eight percent (28%) of parents/guardians whose oldest child was 12-17 and 26% of parents/guardians whose oldest child was 0-11 reported they would only have their child vaccinated if their school required it; otherwise, they would definitely not vaccinate them. For both groups, parents'/guardians' education, COVID-19 vaccination status, and COVID-19 vaccine hesitancy were significantly associated with intentions to vaccinate their child. More than a third of parents/guardians whose child was eligible for vaccination at the time of the survey reported they intended to have them vaccinated right away; however, they had not vaccinated their child more than two months after approval. This finding raises questions about the remaining barriers constraining some parents/guardians from vaccinating their child.

Human papillomavirus vaccination uptake among Native Hawaiian and Pacific Islander adults in the United States.

PURPOSE: To examined human papillomavirus (HPV) vaccination rates and identified factors that are associated with HPV vaccination among Native Hawaiian and Pacific Islander (NHPI) young adults aged 18-34. METHODS: Data from the 2014 Native Hawaiian and Pacific Islander National Health Interview Survey were analyzed. The outcome variables were HPV vaccination initiation (receipt of ≥1 dose) and completion (receipt of ≥3 doses). Multivariable logistic regressions were used to identify socio-demographic, healthcare access and utilization factors that were associated with HPV vaccination. RESULTS: A total of 663 adults were included in the study. The overall HPV vaccination initiation and completion rates were 17.6% and 7.9%, respectively. Most of the respondents who had initiated and completed the vaccine were women, of multiple race, un-married, had some college or associate degree, insured, and had a usual place of getting care. In the weighted multivariable models, men were less likely to initiate (AOR = 0.21, 95% CI = 0.12, 0.34) and complete (AOR = 0.16, 95% CI = 0.07, 0.34) the HPV vaccination compared with women. CONCLUSIONS: The low HPV vaccination coverage found in this study signals the need for more evidence-based, culturally relevant immunization and cancer prevention interventions for NHPIs. Failure to improve HPV vaccination rates may increase the burden of HPV associated preventable cancers among NHPIs and broaden disparities.

Associations between neighborhood disinvestment and breast cancer outcomes within a populous state registry.

BACKGROUND: Breast cancer (BrCa) outcomes vary by social environmental factors, but the role of built-environment factors is understudied. The authors investigated associations between environmental physical disorder-indicators of residential disrepair and disinvestment-and BrCa tumor prognostic factors (stage at diagnosis, tumor grade, triple-negative [negative for estrogen receptor, progesterone receptor, and HER2 receptor] BrCa) and survival within a large state cancer registry linkage. METHODS: Data on sociodemographic, tumor, and vital status were derived from adult women who had invasive BrCa diagnosed from 2008 to 2017 ascertained from the New Jersey State Cancer Registry. Physical disorder was assessed through virtual neighborhood audits of 23,276 locations across New Jersey, and a personalized measure for the residential address of each woman with BrCa was estimated using universal kriging. Continuous covariates were z scored (mean ± standard deviation [SD], 0 ± 1) to reduce collinearity. Logistic regression models of tumor factors and accelerated failure time models of survival time to BrCa-specific death were built to investigate associations with physical disorder adjusted for covariates (with follow-up through 2019). RESULTS: There were 3637 BrCa-specific deaths among 40,963 women with a median follow-up of 5.3 years. In adjusted models, a 1-SD increase in physical disorder was associated with higher odds of late-stage BrCa (odds ratio, 1.09; 95% confidence interval, 1.02-1.15). Physical disorder was not associated with tumor grade or triple-negative tumors. A 1-SD increase in physical disorder was associated with a 10.5% shorter survival time (95% confidence interval, 6.1%-14.6%) only among women who had early stage BrCa. CONCLUSIONS: Physical disorder is associated with worse tumor prognostic factors and survival among women who have BrCa diagnosed at an early stage.

Outcomes Associated With Social Distancing Policies in St Louis, Missouri, During the Early Phase of the COVID-19 Pandemic.

Importance: In the absence of a national strategy in response to the COVID-19 pandemic, many public health decisions fell to local elected officials and agencies. Outcomes of such policies depend on a complex combination of local epidemic conditions and demographic features as well as the intensity and timing of such policies and are therefore unclear. Objective: To use a decision analytical model of the COVID-19 epidemic to investigate potential outcomes if actual policies enacted in March 2020 (during the first wave of the epidemic) in the St Louis region of Missouri had been delayed. Design, Setting, and Participants: A previously developed, publicly available, open-source modeling platform (Local Epidemic Modeling for Management & Action, version 2.1) designed to enable localized COVID-19 epidemic projections was used. The compartmental epidemic model is programmed in R and Stan, uses bayesian inference, and accepts user-supplied demographic, epidemiologic, and policy inputs. Hospital census data for 1.3 million people from St Louis City and County from March 14, 2020, through July 15, 2020, were used to calibrate the model. Exposures: Hypothetical delays in actual social distancing policies (which began on March 13, 2020) by 1, 2, or 4 weeks. Sensitivity analyses were conducted that explored plausible spontaneous behavior change in the absence of social distancing policies. Main Outcomes and Measures: Hospitalizations and deaths. Results: A model of 1.3 million residents of the greater St Louis, Missouri, area found an initial reproductive number (indicating transmissibility of an infectious agent) of 3.9 (95% credible interval [CrI], 3.1-4.5) in the St Louis region before March 15, 2020, which fell to 0.93 (95% CrI, 0.88-0.98) after social distancing policies were implemented between March 15 and March 21, 2020. By June 15, a 1-week delay in policies would have increased cumulative hospitalizations from an observed actual number of 2246 hospitalizations to 8005 hospitalizations (75% CrI: 3973-15 236 hospitalizations) and increased deaths from an observed actual number of 482 deaths to a projected 1304 deaths (75% CrI, 656-2428 deaths). By June 15, a 2-week delay would have yielded 3292 deaths (75% CrI, 2104-4905 deaths)-an additional 2810 deaths or a 583% increase beyond what was actually observed. Sensitivity analyses incorporating a range of spontaneous behavior changes did not avert severe epidemic projections. Conclusions and Relevance: The results of this decision analytical model study suggest that, in the St Louis region, timely social distancing policies were associated with improved population health outcomes, and small delays may likely have led to a COVID-19 epidemic similar to the most heavily affected areas in the US. These findings indicate that an open-source modeling platform designed to accept user-supplied local and regional data may provide projections tailored to, and more relevant for, local settings.