The Relation Between Travel Distance and Overall Survival for HPV-Associated Cancers in a High-Burden State.

Purpose: To assess the association between travel distance to an academic health system and overall survival for patients with human papillomavirus (HPV)-associated cancers. Methods: Using hospital-based cancer registry data from 2005-2019, we calculated unidirectional travel distance from each patient's geocoded address to our academic health center through network analysis. We categorized distance as short (<25 miles), intermediate (25-74.9 miles), or long (≥75 miles). The primary outcome was time from the date of initial diagnosis to the date of death or last contact. We used multivariable Cox proportional hazards regression to evaluate the association between travel distance and overall survival. We also estimated the adjusted observed 5-year survival rate. Results: Patients with HPV-associated cancers traveling distances that were intermediate (hazard ratio [HR], 1.23; 95% CI, 1.06-1.43) and long (HR, 1.15; 95% CI, 1.01-1.32) had a higher hazard of death than the short-distance group. The adjusted 5-year observed survival rates for HPV-associated cancers were lowest in the intermediate-distance group (60.4%) compared with the long-(62.6%) and short-distance (66.2%) groups. Conclusions: Our findings indicate that travel distance to an academic health center was associated with overall survival for patients with HPV-associated cancers, reflecting the importance of considering travel burden in improving patient outcomes.

Investigation of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data.

The American Cancer Society estimated 1.9 million diagnosed cancer cases and 608,570 cancer deaths in 2021 in the US; for Oklahoma, they estimated 22,820 cases and 8,610 deaths. This project aimed to demonstrate a method to systematically describe cancer in an accurate and visually attractive, yet simple to make, interpolated map using ZIP Code level registry data, as it is the smallest area unit with high accuracy using inverse distance weighting. We describe a process of creating smoothed maps with an appropriate, well-described, simple, replicable method. These smoothed maps display low (cold) or high (hot) areas of incidence rates of: (a) all cancer combined, (b) colorectal cancer and lung cancer rates by gender, (c) female breast cancer, and (d) prostate cancer, by ZIP Codes for Oklahoma from 2013-2017. The methods we present in this paper provide an effective visualization to pinpoint low (cold) or high (hot) areas of cancer incidence.

Inequalities in Tobacco Retailer Compliance Violations Across the State of Oklahoma, 2015-2019.

OBJECTIVE: To evaluate the relationship between compliance check violations, and characteristics of the tobacco retailer and neighborhood social vulnerability in Oklahoma. DESIGN: This cross-sectional study utilized the US Food and Drug Administration (FDA) Compliance Check Inspections of Tobacco Product Retailers database for 2015-2019. These data were combined with Neighborhood social vulnerability variables using the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index. SETTING: The setting of this study is the state of Oklahoma, USA. OUTCOME MEASURES: The outcome variable for this analysis was whether a sale was made to the youth during the compliance check (e.g., violation; yes/no) regardless of the outcome of the violation, and number of violations per a retailer. RESULTS: We observed a strong association between having a violation and retailer store type, after controlling for socioeconomic vulnerability and percentage of mobile homes. The proportion of a tobacco retailer's violations also varied by store type. CONCLUSIONS: More targeted enforcements and retailer education by store type may be necessary to increase compliance.

Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave.

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave.

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

Validity of International Classification of Diseases codes in identifying illicit drug use target conditions using medical record data as a reference standard: A systematic review.

BACKGROUND: The twenty-first century opioid crisis has spurred interest in using International Classification of Diseases (ICD) code algorithms to identify patients using illicit drugs from administrative healthcare data. We conducted a systematic review of studies that validated ICD code algorithms for illicit drug use against a reference standard of medical record data. METHODS: Systematic searches of MEDLINE, EMBASE, PsycINFO, and Web of Science were conducted for studies published between 1980 and 2018 in English, French, Italian, or Spanish. We included validation studies of ICD-9 or ICD-10 code algorithms for an illicit drug use target condition (e.g., illicit drug use, abuse, or dependence (UAD), illicit drug use-related complications) given the sensitivity or specificity was reported or could be calculated. Bias was assessed with the Quality Assessment of Diagnostic Accuracy Studies Version 2 (QUADAS-2) tool. RESULTS: Six of the 1210 articles identified met the inclusion criteria. For validation studies of broad UAD (n = 4), the specificity was nearly perfect, but the sensitivity ranged from 47% to 83%, with higher sensitivities tending to occur in higher prevalence populations. For validation studies of injection drug use (IDU)-associated infective endocarditis (n = 2), sensitivity and specificity were poor due to the lack of an ICD code for IDU. For all six studies, the risk of bias for the QUADAS-2 "reference standard" and "flow/timing domains" was scored as "unclear" due to insufficient reporting. CONCLUSIONS: Few studies have validated ICD code algorithms for illicit drug use target conditions, and available evidence is challenging to interpret due to inadequate reporting. PROSPERO Registration: CRD42019118401.

Distribution of congenital anomalies by race/ethnicity and geospatial location in Oklahoma, 1997-2009.

INTRODUCTION: Congenital anomalies were the leading cause of infant mortality, responsible for 23 and 21% of deaths in Oklahoma and the USA, respectively, in 2016. We aimed to determine the prevalence by race/ethnicity and spatial distribution of congenital anomalies to identify geographic and racial/ethnic disparities, particularly among American Indian/Alaska Natives (AI/AN). METHODS: We evaluated the prevalence of anomalies by type and race/ethnicity among 648,074 live births in Oklahoma from 1997 to 2009. Prevalence proportion ratios (PPRs) and 95% confidence intervals (CIs) were calculated using Poisson regression. We used Moran's I and Getis-Ord Gi* to evaluate spatial clustering for neural tube defects, critical congenital heart defects (CCHDs), and oral clefts among births whose residence geocoded to the ZIP code or finer level. RESULTS: Overall prevalence of anomalies among live births was 3.9%. Non-Hispanic (NH) African American (PPR: 0.87, 95% CI: 0.83, 0.91), Asian/Pacific Islander (PPR: 0.70, 95% CI: 0.63, 0.78), and Hispanic (PPR: 0.87, 95% CI: 0.83, 0.91) children had a lower prevalence of anomalies compared to NH whites. The prevalence in NH AI/AN children was similar to NH whites (PPR: 1.01, 95% CI: 0.97, 1.05). However, differences in specific types of anomalies were observed by race/ethnicity. We observed no spatial autocorrelation for CCHD and oral clefts. Neural tube defects demonstrated spatial autocorrelation (p < .0001). Local hot spots varied by anomaly. DISCUSSION: The prevalence of anomalies by race/ethnicity and geography differed by race/ethnicity and region, though this varied by anomaly. Additional research is needed to identify behavioral or environmental factors to target for prevention.

The association between natural gas well activity and specific congenital anomalies in Oklahoma, 1997-2009.

BACKGROUND: Natural gas drilling may pose multiple health risks, including congenital anomalies, through air pollutant emissions and contaminated water. Two recent studies have evaluated the relationship between natural gas activity and congenital anomalies, with both observing a positive relationship. OBJECTIVES: We aimed to evaluate whether residence near natural gas wells is associated with critical congenital heart defects (CCHD), neural tube defects (NTD), and oral clefts in Oklahoma, the third highest natural gas producing state in the US. METHODS: We conducted a retrospective cohort study among singleton births in Oklahoma (n = 476,600) to evaluate natural gas activity and congenital anomalies. We calculated an inverse distance-squared weighted (IDW) score based on the number of actively producing wells within a two-mile radius of the maternal residence during the month of delivery. We used modified Poisson regression with robust error variance to estimate prevalence proportion ratios (PPR) and 95% confidence intervals (CI) for the association between tertiles of natural gas activity (compared to no wells) and CCHD, NTD, and oral clefts adjusted for maternal education. RESULTS: We observed an increased, though imprecise, prevalence of NTDs among children with natural gas activity compared to children with no wells (2nd tertile PPR: 1.34, 95% CI: 0.93, 1.93; 3rd tertile PPR: 1.20, 95% CI: 0.82, 1.75). We observed no association with CCHD or oral clefts overall. Specific CCHDs of common truncus, transposition of the great arteries, pulmonary valve atresia and stenosis, tricuspid valve atresia and stenosis, interrupted aortic arch, and total anomalous pulmonary venous connection were increased among those living in areas with natural gas activity compared to those living in areas without activity, though not statistically significant. DISCUSSION: Our results were similar to previous studies for NTDs and specific CCHDs. Future directions include evaluating the association between specific phases of the drilling process and congenital anomalies to better refine the relevant exposure period.

Association between benzene and congenital anomalies in Oklahoma, 1997-2009.

OBJECTIVES: Although the most common cause of death in infants, little is known about the aetiology of congenital anomalies. Recent studies have increasingly focused on environmental exposures, including benzene. While benzene is known to affect the central nervous system, the effects on the developing fetus are unclear. METHODS: We conducted a retrospective cohort study to evaluate the association between ambient benzene exposure and the prevalence of congenital anomalies among 628 121 singleton births in Oklahoma from 1997 to 2009. We obtained benzene from the Environmental Protection Agency's 2005 National-Scale Air Toxics Assessment for the census tract of the birth residence. We used modified Poisson regression with robust SEs to calculate prevalence proportion ratios (PPRs) and 95% CIs between quartiles of benzene exposure and critical congenital heart defects (CCHDs), neural tube defects (NTDs) and oral clefts adjusted for maternal education and tobacco use. RESULTS: Median benzene exposure concentration in Oklahoma was 0.57 µg/m3. We observed no association between benzene exposure and oral clefts, CCHDs or NTDs. When specific anomalies were examined, we observed an increased prevalence of cleft lip among those exposed to the second quartile of benzene compared with the first (PPR 1.50, 95% CI 1.05 to 2.13), though no association with higher levels of exposure. CONCLUSIONS: Our findings do not provide support for an increased prevalence of anomalies in areas more highly exposed to benzene. Future studies would benefit from pooling data from multiple states to increase statistical power and precision in studies of air pollutants and specific anomalies.

Assessment of Translational and Interdisciplinary Clinical Research at an Oklahoma Health Sciences Center.

PURPOSE: In response to National Institutes of Health initiatives to improve translation of basic science discoveries we surveyed faculty to assess patterns of and barriers to translational research in Oklahoma. METHODS: An online survey was administered to University of Oklahoma Health Sciences Center, College of Medicine faculty, which included demographic and research questions. Results: Responses were received from 126 faculty members (24%). Two-thirds spent ≥ 20%time on research; among these, 90% conduct clinical and translational research. Identifying funding; recruiting research staff and participants; preparing reports and agreements; and protecting research time were commonly perceived as at least moderate barriers to conducting research. While respondents largely collaborated within their discipline, clinical investigators were more likely than basic science investigators to engage in interdisciplinary research. CONCLUSION: While engagement in translational research is common, specific barriers impact the research process. This could be improved through an expanded interdisciplinary collaboration and research support structure.

Epidemiology of Dysglycemia in Pregnant Oklahoma American Indian Women.

CONTEXT: Minority communities are disproportionately affected by diabetes, and minority women are at an increased risk for glucose intolerance (dysglycemia) during pregnancy. OBJECTIVES: In pregnant American Indian women, the objectives of the study were to use current criteria to estimate the prevalence of first-trimester (Tr1) dysglycemia and second-trimester (Tr2) incidence of gestational diabetes mellitus (GDM) and to explore new candidate measures and identify associated clinical factors. DESIGN: This was a prospective cohort study. In Tr1 we performed a 75-g, 2-hour oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) to determine the following: fasting insulin; homeostasis model assessment of insulin resistance; serum 1,5-anhydroglucitol; noninvasive skin autofluorescence (SCOUT). We defined dysglycemia by American Diabetes Association and Endocrine Society criteria and as HbA1c of 5.7% or greater. In Tr2 in an available subset, we performed a repeat OGTT and SCOUT. PARTICIPANTS: Pregnant American Indian women (n = 244 at Tr1; n = 114 at Tr2) participated in the study. OUTCOMES: The prevalence of dysglycemia at Tr1 and incidence of GDM at Tr2 were measured. RESULTS: At Tr1, one woman had overt diabetes; 36 (15%) had impaired glucose tolerance (American Diabetes Association criteria and/or abnormal HbA1c) and 59 (24%) had GDM-Tr1 (Endocrine Society criteria). Overall, 74 (30%) had some form of dysglycemia. Associated factors were body mass index, hypertension, waist/hip circumferences, SCOUT score, fasting insulin, and homeostasis model assessment of insulin resistance. At Tr2, 114 of the Tr1 cohort underwent a repeat OGTT and SCOUT, and 26 (23%) had GDM. GDM-Tr2 was associated with increased SCOUT scores (P = .029) and Tr1 body mass index, waist/hip circumferences, diastolic blood pressure, fasting insulin, and triglyceride levels. Overall, dysglycemia at Tr1 and/or Tr2 affected 38% of the women. CONCLUSIONS: Dysglycemia at some point during pregnancy was common among American Indian women. It was associated with features of insulin resistance and may confer long-term health risks for mother and child.