Characteristics of a transgender and gender-diverse patient population in Utah: Use of electronic health records to advance clinical and health equity research.

Transgender and gender-diverse (TGD) people, individuals whose gender identity differs from their sex assigned at birth, face unique challenges in accessing gender-affirming care and often experience disparities in a variety of health outcomes. Clinical research on TGD health is limited by a lack of standardization on how to best identify these individuals. The objective of this retrospective cohort analysis was to accurately identify and describe TGD adults and their use of gender-affirming care from 2003-2023 in a healthcare system in Utah, United States. International Classification of Disease (ICD)-9 and 10 codes and surgical procedure codes, along with sexual orientation and gender identity data were used to develop a dataset of 4,587 TGD adults. During this time frame, 2,985 adults received gender-affirming hormone therapy (GAHT) and/or gender-affirming surgery (GAS) within one healthcare system. There was no significant difference in race or ethnicity between TGD adults who received GAHT and/or GAS compared to TGD adults who did not receive such care. TGD adults who received GAHT and/or GAS were more likely to have commercial insurance coverage, and adults from rural communities were underrepresented. Patients seeking estradiol-based GAHT tended to be older than those seeking testosterone-based GAHT. The first GAS occurred in 2013, and uptake of GAS have doubled since 2018. This study provides a methodology to identify and examine TGD patients in other health systems and offers insights into emerging trends and access to gender-affirming care.

Impact of Local Tailoring on Acute Stroke Care in 21 Disparate Emergency Departments: A Prospective Stepped Wedge Type III Hybrid Effectiveness-Implementation Study.

BACKGROUND: Faster delivery of tPA (tissue-type plasminogen activator) results in better health outcomes for eligible patients with stroke. Standardization of stroke protocols in emergency departments (EDs) has been difficult, especially in nonstroke centers. We measured the effectiveness of a centrally led implementation strategy with local site tailoring to sustain adherence to an acute stroke protocol to improve door-to-needle (DTN) times across disparate EDs in a multihospital health system. METHODS: Prospective, type III hybrid effectiveness-implementation cohort study measuring performance at 21 EDs in Utah and Idaho (stroke centers [4]/nonstroke centers [17]) from January 2018 to February 2020 using a nonrandomized stepped-wedge design, monthly repeated site measures and multilevel hierarchical modeling. Each site received the implementation strategies in 1 of 6 steps providing control and intervention data. Co-primary outcomes were percentage of DTN times ≤60 minutes and median DTN time. Secondary outcomes included percentage of door-to-activation of neurological consult times ≤10 minutes and clinical effectiveness outcomes. Results were stratified between stroke and nonstroke centers. RESULTS: A total of 855 474 ED patient encounters occurred with 5325 code stroke activations (median age, 69 [IQR, 56-79] years; 51.8% female patients]. Percentage of door-to-activation times ≤10 minutes increased from 47.5% to 59.9% (adjusted odds ratio, 1.93 [95% CI, 1.40-2.67]). A total of 615 patients received tPA of ≤3 hours from symptom onset (median age, 71 [IQR, 58-80] years; 49.6% female patients). The percentage of DTN times ≤60 minutes increased from 72.5% to 86.1% (adjusted odds ratio, 3.38, [95% CI, 1.47-7.78]; stroke centers (77.4%-90.0%); nonstroke centers [59.3%-72.1%]). Median DTN time declined from 46 to 38 minutes (adjusted median difference, -9.68 [95% CI, -17.17 to -2.20]; stroke centers [41-35 minutes]; nonstroke centers [55-52 minutes]). No differences were observed in clinical effectiveness outcomes. CONCLUSIONS: A centrally led implementation strategy with local site tailoring led to faster delivery of tPA across disparate EDs in a multihospital system with no change in clinical effectiveness outcomes including rates of complication. Disparities in performance persisted between stroke and nonstroke centers.

Quantitative and qualitative survey feedback of pharmacists regarding current and prospective licensure models.

BACKGROUND: Despite variation in licensure requirements and models for pharmacy practice nationwide, there is little published data within the United States regarding pharmacist perspectives. OBJECTIVES: The purpose of this study was to identify the demographics, awareness, and perceptions about current pharmacist licensure models. METHODS: A fifteen-question mixed-methods survey was created and distributed via Qualtrics-XM Survey to all Utah licensed pharmacists (n = 4154). Data collection was August 22-September 22, 2022. Before survey distribution, pilot feedback was sought from the Utah Board of Pharmacy and pharmacists at the 118th National Association of Boards of Pharmacy (NABP) national conference. Exempt status was granted by Roseman University Institutional Review Board. Quantitative and qualitative data analysis allowed for descriptive statistics and thematic content identification. RESULTS: The survey collected 972 responses for a response rate of 23% and a completion rate of 94%. Respondents self-identified 36 practice areas. Distribution of years in practice was well dispersed between the predefined ranges. Primary state of licensure was Utah (80%), with additional representation from all 50 states and Guam. The survey showed a variation in awareness regarding other healthcare professional licensing models with 40.83% "aware," 40.62% "unaware," and 18.55% "unsure". A majority showed awareness of the NABP Verify program (55.8%), but unawareness of the Electronic Licensure Transfer Program program (56.14%). Respondents agreed with increased license portability for medically underserved and rural areas (71.79%) and preference for having a law exam (56.72%). Pharmacists (n = 405) noted concerns regarding multistate renewal requirements, fees, and continuing education. CONCLUSION: This study provided baseline data on a topic that is missing in existing literature. Results illustrated a high completion rate, a diversity of demographics including well dispersed age ranges, years in practice, and qualitative responses. The quantitative data shed light on a variety of pharmacist perspectives and varied awareness about NABP licensure programs and compacts.

The impact of a statewide insulin copay cap policy for insured patients with diabetes in Utah.

BACKGROUND: Insulin affordability is a huge concern for patients with diabetes in the United States. On March 30, 2020, Utah signed House Bill 207 into law, aimed at capping copayments for insulin at $30 for a 30-day supply. The bill was enacted on January 1, 2021. OBJECTIVE: To assess patient basal insulin adherence, out-of-pocket costs, health plan costs, total costs on insulin, and hemoglobin A1c (A1c) in prepolicy vs postpolicy periods. METHODS: This study is a retrospective analysis using data from a regional health plan in Utah from October 1, 2019, to September 30, 2021. Inclusion criteria were fully enrolled members of all ages, under commercial insurance, with at least 1 fill for any type of insulin in both the preperiod and the postperiod. Adherence was measured by proportion of days covered (PDC). Paired t-tests and Wilcoxon sign rank tests were conducted to compare the health and economic outcomes. RESULTS: Out of 24,150 commercially insured individuals, a total of 244 patients were included. Across all 244 patients, there was a significant decline in monthly median out-of-pocket costs of insulin by 58.5% (P < 0.001), whereas the monthly median health plan costs of insulin increased by 22.0% (P < 0.001). The total monthly costs of insulin (the sum of out-of-pocket and health plan costs) were unchanged (P = 0.115). Only 74 patients with enough basal insulin fills in both periods were included in the analysis for PDC changes. PDC change was not statistically significant (P = 0.43). Among the 74 patients with PDC calculations, 29 patients had A1c recorded in both periods. The change in A1c was not statistically significant (P = 0.23). CONCLUSIONS: An insulin copayment max of $30 in Utah demonstrated lower patient out-of-pocket costs, subsidized by the health plan. PDC did not change, and HbA1c did not improve. An assessment of a longer period and on a larger population is needed.

Broadband Data Forensics: Spatiotemporal Variations of the Download/Upload Speed Metric Commonly Used to Evaluate Potential Telehealth Accessibility.

Introduction: The complicated task of evaluating potential telehealth access begins with the metrics and supporting datasets that seek toevaluate the presence and durability of broadband connections in a community. Broadband download/upload speeds are one of the popular metrics used to measure potential telehealth access, which is critical to health equity. An understanding of the limitations of these measures is important for drawing conclusions about the reality of the digital divide in telehealth access. The objective of this study was to assess spatiotemporal variations in broadband download/upload speeds. Method: We analyzed a sample of data from the Speedtest Intelligence Portal provided through the Ookla for Good initiative. Results: We found that variation is inherent across the states of Vermont, New Hampshire, Louisiana, and Utah. Conclusions: The variation suggests that when single measures of download/upload speeds are used to evaluate telehealth accessibility they may be masking the true magnitude of the digital divide.

Validation of the Utah Photophobia Symptom Impact Scale (version 2) as a headache-specific photophobia assessment tool.

OBJECTIVE: To present an updated version of the Utah Photophobia Symptom Impact Scale version 2 (UPSIS2), providing robust clinical and psychometric validation, to improve headache-specific evaluation of light sensitivity and headache-related photophobia. BACKGROUND: The original UPSIS filled a gap in available tools for assessment of headache-associated light sensitivity by providing patient-reported evaluation of the impact of light sensitivity on activities of daily living (ADLs). We have since revised the original questionnaire to provide a more robust item construct and refined validation approach. METHODS: We conducted a psychometric validation of the UPSIS2 through a primary analysis of an online survey of volunteers with recurrent headaches recruited from the University of Utah clinics and surrounding community. Volunteers completed the original UPSIS and UPSIS2 questionnaire versions in addition to measures of headache impact, disability, and frequency. The UPSIS2 now includes a pre-defined recall period and a 1-4 Likert scale with standardized response anchors to improve clarity. Internal construct validity, external construct validity, and test-retest reliability, were evaluated. RESULTS: Responses were obtained from 163 volunteers, with UPSIS2 scores ranging from 15 to 57 (out of a possible 15-60) with a mean (standard deviation) of 32.4 (8.80). Construct validity was satisfactory, as evidenced by sufficient unidimensionality, monotonicity, and local independence. Reliability was excellent, with Rasch test reliability = 0.90 and Cronbach's alpha = 0.92, and an intraclass correlation of 0.79 (95% confidence interval 0.65-0.88) for participants who took the test twice. UPSIS2 correlates well with other headache measures (Spearman's correlations >0.50), as well as the original UPSIS (Spearman's correlation = 0.87), indicating good convergent validity. UPSIS2 scores differ significantly across International Classification of Headache Disorders (third edition) groups, indicating good known group validity. CONCLUSION: The UPSIS2 provides a well-validated headache-specific outcome measure for the assessment of photophobia impact on ADLs.

State-Level Trends in Lifespan Variability in the United States, 1960-2019: A Research Note.

State-level disparities in life expectancy are wide, persistent, and potentially growing in the United States. However, the extent to which differences in lifespan variability by state have changed over time is unclear. This research note describes trends in lifespan variability for the United States overall and by state from 1960 to 2019 using period life table data from the United States Mortality Database. Lifespan disparity at birth (e0†) decreased over time in the United States overall from 14.0 years in 1960-1964 to 12.2 in 2015-2019. Lifespan variability decreased in all states, but states differed in the level and pace with which these changes occurred. Southern states and the District of Columbia exhibited consistently higher (i.e., less equitable) levels of lifespan variability than the nation overall. Conversely, lifespan variability was lower among several states in the Northeast (e.g., Connecticut and Massachusetts), Upper Midwest (e.g., Iowa, Minnesota, and Wisconsin), and West (e.g., California, Oregon, Utah, and Washington). We observe a particularly worrisome trend of increasing lifespan variability for the United States overall and for most states from 2010-2014 to 2015-2019. Monitoring state-level trends in lifespan variability has the potential to inform policies designed to ameliorate population health disparities.

Beyond Proximity: Utility-Based Access from Location-Based Services Data.

Understanding who in a community has access to its resources-parks, libraries, grocery stores, etc.-has profound equity implications, but typical methods to understand access to these resources are limited. Travel time buffers require researchers to assert mode of access as well as an arbitrary distance threshold; further, these methods do not distinguish between destination quality attributes in an effective way. In this research, we present a methodology to develop utility-based accessibility measures for parks, libraries, and grocery stores in Utah County, Utah. The method relies on passive location-based services data to model destination choice to these community resources; the destination choice model utility functions in turn allow us to develop a picture of regional access that is sensitive to: the quality and size of the destination resource; continuous (non-binary) travel impedance by multiple modes; and the sociodemographic attributes of the traveler. We then use this measure to explore equity in access to the specified community resources across income level in Utah County: the results reveal a discrepancy between which neighborhoods might be targeted for intervention using space-based analysis.

Assessment of Risk of Rheumatoid Arthritis Among Underground Hard Rock and Other Mining Industry Workers in Colorado, New Mexico, and Utah.

Importance: Respirable silica exposure has been strongly and consistently linked to rheumatoid arthritis (RA) among foundry workers, persons in the construction trades, stone crushers and drillers, and coal miners. However, risk of RA in hard rock mining has not been thoroughly investigated. Objective: To analyze occupational risk of RA in hard rock miners in Colorado, New Mexico, and Utah. Design, Setting, and Participants: This cross-sectional survey study estimated the association between mining industry work and reported RA in a random-digit telephone survey of men 50 years or older living in selected counties with elevated levels of pneumoconiosis mortality (N = 1988). The survey was conducted between January 12 and May 4, 2021. Exposures: Underground hard rock and other mining and related mineral-processing occupations. Main Outcomes and Measures: Report of a clinician diagnosis of RA further defined by treatment with corticosteroids or disease-modifying antirheumatic drugs. Risk was estimated using logistic regression. Results: The analytic sample of 1988 men (survey response rate, 11.1% of all contacts) had a mean (SD) age of 68.6 (10.1) years. Underground hard rock mining was reported by 118 (5.9%); underground mining of other types, predominantly coal mining (no concomitant hard rock), 62 (3.1%); and surface mining or ore processing (no underground), 262 (13.2%). Adjusting for age and smoking and accounting for nonmining silica exposure, mining employment was associated with increased odds of corticosteroid-treated RA (n = 89) (odds ratio, 4.12 [95%, 2.49-6.81]). The odds were similar for RA treated with disease-modifying antirheumatic drugs (n = 80) (odds ratio, 3.30 [95% CI, 1.93-5.66]). Conclusions and Relevance: In this cross-sectional survey study, workers in hard rock and other underground mining and surface mining occupations experienced 3- to 4-fold increased odds of RA. These findings suggest that clinicians should consider patients with relevant work exposures as at higher risk for developing RA.

Association between U.S. state prenatal drug use laws and child welfare reporting in Alabama, Maryland and Utah.

BACKGROUND: Over the past decade, states have passed several laws on prenatal drug use, including "maltreatment laws" deeming prenatal drug use child maltreatment, "reporting laws" requiring providers to report prenatal drug use to Child Protective Services (CPS) and "criminalization laws" that criminalize prenatal drug use. METHOD: We examined the association between a 2012 Utah maltreatment law, a 2013 Alabama maltreatment and criminalization law, and a 2014 Maryland reporting law on the rate of infant CPS reports using 2010-2017 National Child Abuse and Neglect Data System data. We conducted an event study comparing CPS reporting pre/post law in each treatment state with reporting in a pool of control states over the same period. Regression models included state and year fixed effects and state-level demographics. We triangulated quantitative results with qualitative interviews of 11 state leaders whose professional responsibilities included implementation of the state law. RESULTS: We found no association between Alabama's simultaneous maltreatment and criminalization laws and infant reporting. Maryland's reporting law (28.2 fewer reports per 1000 infants, 95%CI: [-42.9, -13.6], 4-years post-law) and Utah's maltreatment laws (31.0 fewer CPS reports per 1000 infants, 95%CI: [-61.2, -0.8], 6-years post-law) were associated with declines in infant CPS reports. Qualitative results suggest that the reduced reporting associated with Maryland's reporting and Utah's maltreatment laws may be due to increased perceived stigma resulting from the law, and health providers' distrust of CPS and/or confusion about reporting to CPS. CONCLUSION: Future research should characterize differential policy implementation across states and counties and identify policy impacts on treatment seeking behavior.

Socioeconomic Differences in Lifetime and Past 30-Day E-Cigarette, Cigarette, and Dual Use: A State-Level Analysis of Utah Youth.

Socioeconomic disparities in combustible cigarette use are well established among youth in the United States and lead to substantial health effects. Given the noteworthy rise in electronic cigarette (e-cigarette) use among youth in recent years, health professionals have expressed concern that e-cigarette use will follow similar socioeconomic patterns. The current study examined this question using a 2019 state-representative sample of youth in grades 6, 8, 10, and 12 from Utah (N = 78,740). Logistic regression models estimated associations between neighborhood- and individual-level factors with lifetime and past 30-day e-cigarette, combustible cigarette, and dual use across 267 neighborhoods. After controlling for individual-level sociodemographic factors, results indicated that youth living in higher-poverty neighborhoods were at a significantly increased risk of lifetime e-cigarette, combustible cigarette, and dual use. Additionally, youth living in households with higher levels of education were at a significantly lower risk of lifetime and past 30-day e-cigarette, cigarette, and dual use. Results suggest that e-cigarettes may follow a similar pattern of socioeconomic disparities among youth as combustible cigarettes. Additionally, most youth using combustible cigarettes also used e-cigarettes, suggesting that any potential harms from e-cigarettes may exacerbate existing socioeconomic disparities in health effects from combustible cigarette use. Research should continue to examine individual- and neighborhood-level socioeconomic disparities in youth e-cigarette, combustible cigarette, and dual use.

Implementation and Monitoring of the Family Planning Elevated Contraceptive Access Program, Utah, 2018‒2019.

Family Planning Elevated (FPE) is a contraceptive access initiative in Utah. FPE designed and utilized a comprehensive monitoring system to identify and respond to challenges implementing our initiative as they arose. Here, we describe the components of our monitoring system, and highlight how FPE's monitoring system successfully identified that Utah's Medicaid expansion was not widely adopted by eligible individuals. We then describe how FPE adapted to this challenge. (Am J Public Health. 2022;112(S5):S528-S531. https://doi.org/10.2105/AJPH.2022.306935).

A qualitative assessment of medical assistant professional aspirations and their alignment with career ladders across three institutions.

BACKGROUND: Growing demand for medical assistants (MAs) in team-based primary care has led health systems to explore career ladders based on expanded MA responsibilities as a solution to improve MA recruitment and retention. However, the practical implementation of career ladders remains a challenge for many health systems. In this study, we aim to understand MA career aspirations and their alignment with available advancement opportunities. METHODS: Semi-structured focus groups were conducted August to December 2019 in primary care clinics based in three health systems in California and Utah. MA perspectives of career aspirations and their alignment with existing career ladders were discussed, recorded, and qualitatively analyzed. RESULTS: Ten focus groups conducted with 59 participants revealed three major themes: mixed perceptions of expanded MA roles with concern over increased responsibility without commensurate increase in pay; divergent career aspirations among MAs not addressed by existing career ladders; and career ladder implementation challenges including opaque advancement requirements and lack of consistency across practice settings. CONCLUSION: MAs held positive perceptions of career ladders in theory, yet recommended a number of improvements to their practical implementation across three institutions including improving clarity and consistency around requirements for advancement and matching compensation to job responsibilities. The emergence of two distinct clusters of MA professional needs and desires suggests an opportunity to further optimize career ladders to provide tailored support to MAs in order to strengthen the healthcare workforce and talent pipeline.

Characteristics of Nonelderly Adult Health Care Persistent Super Utilizers in Utah.

In the United States, the top 1% and top 5% of health care spenders account for 23% and 50% of total health care spending, respectively. These high spenders have been coined the term super utilizers (SU). The aim of this study was to identify the characteristics associated with these patients to aid in developing public health interventions aimed at transitioning patients out of the SU category and thus ultimately helping to control health care costs. The authors utilized the Utah All-Payer Claims Database and Utah Population Database from 2013 to 2015 to identify demographics, comorbid conditions, health care utilization, and cost characteristics of persistent super utilizers (PSU) (≥3 hospitalizations per year for 3 years) of health care compared with persistent nonsuper utilizers (PNSU) (<3 hospitalizations per year for 3 years). Multivariable logistic regression was utilized to identify the characteristics associated with PSU versus PNSU. Higher outpatient/Emergency Department/noninpatient (eg, visits with imaging and Centers for Medicare & Medicaid Services preventive visits) health care utilization and spending, and prevalence of comorbid disease and psychosocial conditions were associated with PSU. In multivariable analysis, factors such as heart disease, chronic kidney disease (CKD), diabetes, alcohol abuse, and depression were statistically significantly associated with higher odds of PSU, with the most noteworthy being CKD (odds ratio [OR] 6.85, 95% confidence interval [95% CI] 5.84-8.02; P < 0.001), alcohol abuse (OR 5.90, 95% CI 4.49-7.69; P < 0.001), and heart diseases (OR 4.41, 95% CI 3.74-5.18; P < 0.001). The annual health care cost of a PSU is about 11.5 times greater than a PNSU ($54,776 vs. $4801; P < 0.001).

Prevalence, Characteristics, and Outcomes of Emergency Department Discharge Among Patients With Sepsis.

Importance: Sepsis guidelines and research have focused on patients with sepsis who are admitted to the hospital, but the scope and implications of sepsis that is managed in an outpatient setting are largely unknown. Objective: To identify the prevalence, risk factors, practice variation, and outcomes for discharge to outpatient management of sepsis among patients presenting to the emergency department (ED). Design, Setting, and Participants: This cohort study was conducted at the EDs of 4 Utah hospitals, and data extraction and analysis were performed from 2017 to 2021. Participants were adult ED patients who presented to a participating ED from July 1, 2013, to December 31, 2016, and met sepsis criteria before departing the ED alive and not receiving hospice care. Exposures: Patient demographic and clinical characteristics, health system parameters, and ED attending physician. Main Outcomes and Measures: Information on ED disposition was obtained from electronic medical records, and 30-day mortality data were acquired from Utah state death records and the US Social Security Death Index. Factors associated with ED discharge rather than hospital admission were identified using penalized logistic regression. Variation in ED discharge rates between physicians was estimated after adjustment for potential confounders using generalized linear mixed models. Inverse probability of treatment weighting was used in the primary analysis to assess the noninferiority of outpatient management for 30-day mortality (noninferiority margin of 1.5%) while adjusting for multiple potential confounders. Results: Among 12 333 ED patients with sepsis (median [IQR] age, 62 [47-76] years; 7017 women [56.9%]) who were analyzed in the study, 1985 (16.1%) were discharged from the ED. After penalized regression, factors associated with ED discharge included age (adjusted odds ratio [aOR], 0.90 per 10-y increase; 95% CI, 0.87-0.93), arrival to ED by ambulance (aOR, 0.61; 95% CI, 0.52-0.71), organ failure severity (aOR, 0.58 per 1-point increase in the Sequential Organ Failure Assessment score; 95% CI, 0.54-0.60), and urinary tract (aOR, 4.56 [95% CI, 3.91-5.31] vs pneumonia), intra-abdominal (aOR, 0.51 [95% CI, 0.39-0.65] vs pneumonia), skin (aOR, 1.40 [95% CI, 1.14-1.72] vs pneumonia) or other source of infection (aOR, 1.67 [95% CI, 1.40-1.97] vs pneumonia). Among 89 ED attending physicians, adjusted ED discharge probability varied significantly (likelihood ratio test, P < .001), ranging from 8% to 40% for an average patient. The unadjusted 30-day mortality was lower in discharged patients than admitted patients (0.9% vs 8.3%; P < .001), and their adjusted 30-day mortality was noninferior (propensity-adjusted odds ratio, 0.21 [95% CI, 0.09-0.48]; adjusted risk difference, 5.8% [95% CI, 5.1%-6.5%]; P < .001). Alternative confounder adjustment strategies yielded odds ratios that ranged from 0.21 to 0.42. Conclusions and Relevance: In this cohort study, discharge to outpatient treatment of patients who met sepsis criteria in the ED was more common than previously recognized and varied substantially between ED physicians, but it was not associated with higher mortality compared with hospital admission. Systematic, evidence-based strategies to optimize the triage of ED patients with sepsis are needed.

Google Trends Data of Radiologists Who Accept Medicare: A Potential Tool for Predicting State Demand.

PURPOSE: To identify and analyze the demand for radiologists who accept Medicare per state from 2004 to 2009, as reflected by volume of Google searches, and to place such demand in context with other available data by state. METHODS: The number of radiologists who accept Medicare by state was divided by each state's population to achieve the radiologist density per 10,000 residents. Relative search volume (RSV) for the term "radiologist" was collected from Google Trends from 2004 to 2009. The Radiologist Demand Index (RDI) for each state was then calculated by dividing each state's RSV by the radiologist density for that state. To standardize values, each state's RDI was divided by the largest RDI to generate the Relative Radiologist Demand Index (RRDI). Utilization of medical imaging per 1000 Medicare beneficiaries in each state, overall health of a population in each state, and percentage of the population enrolled in Medicare in each state were used to compare trends with the RRDI. RESULTS: West Virginia had the greatest curiosity about radiologists who accept Medicare (as represented by proportion of Google searches) (RSV=100), followed by Mississippi (RSV=95), and Arkansas (RSV=87). Oregon demonstrated the lowest level of curiosity about radiologists who accept Medicare, by having the lowest proportion of google searches (RSV=43), followed by Vermont (RSV=49), California (RSV=50), and Colorado (RSV=50). The highest radiologist densities per population were found in Montana, D.C., and Wyoming (3.25, 1.56, 1.11, respectively). The lowest radiologist densities were found in Oklahoma, Texas, and Utah (0.4, 0.4, 0.41, 0.41, respectively). The RRDI was greatest in Louisiana (100), Arkansas (94.8), and Texas (86.3), and smallest in Montana (10.6), D.C. (17.7) and Wyoming (28.4). Positive trends between utilization of medical imaging per 1000 Medicare beneficiaries and state overall health and the RRDI were recognized. No trend between each state's RRDI and percentage of population enrolled in Medicare was noted. CONCLUSION: Imaging studies performed, an indirect measure of demand, showed trends with RRDI. Higher RRDI and imaging per 1000 Medicare beneficiaries trended with lower health scores for a state's general population. RRDI may be a useful tool reflecting each state's demand for radiologist who accepts Medicare.

Evaluation of Family Characteristics and Multiple Hospitalizations at the End of Life: Evidence from the Utah Population Database.

Background: Scant research has examined the relationship between family characteristics and end-of-life (EOL) outcomes despite the importance of family at the EOL. Objectives: This study examined factors associated with the size and composition of family relationships on multiple EOL hospitalizations. Design: Retrospective analysis of the Utah Population Database, a statewide population database using linked administrative records. Setting/subjects: We identified adults who died of natural causes in Utah, United States (n = 216,913) between 1998 and 2016 and identified adult first-degree family members (n = 743,874; spouses = 13.2%; parents = 3.6%; children = 51.7%; siblings = 31.5%). Measurements: We compared demographic, socioeconomic, and death characteristics of decedents with and without first-degree family. Using logistic regression models adjusting for sex, age, race/ethnicity, marital status, comorbidity, and causes of death, we examined the association of first-degree family size and composition, on multiple hospitalizations in the last six months of life. Results: Among decedents without documented first-degree family members in Utah (16.0%), 57.7% were female and 7 in 10 were older than 70 years. Nonmarried (aOR = 0.90, 95% CI = 0.88-0.92) decedents and decedents with children (aOR = 0.97, 95% CI = 0.94-0.99) were less likely to have multiple EOL hospitalizations. Family size was not associated with multiple EOL hospitalizations. Conclusions: First-degree family characteristics vary at the EOL. EOL care utilization may be influenced by family characteristics-in particular, presence of a spouse. Future studies should explore how the quality of family networks, as well as extended family, impacts other EOL characteristics such as hospice and palliative care use to better understand the EOL care experience.

Geographic Differences in Rates of Primary Total Knee Arthroplasty in Young and Older Adults: A Comparison of 3 US States.

OBJECTIVE: Rates of total knee arthroplasty (TKA) among Medicare beneficiaries (adults aged ≥ 65 yrs) vary across the United States, with higher rates in the Midwest and West than in the South. It is not known if a similar variation is present among younger patients, or if findings in Medicare reflect selective postponement of TKA in some regions. METHODS: Data on all primary TKA performed in adults aged ≥ 20 years in 3 states (Iowa, Utah, and Florida) in 2016 were obtained from state inpatient databases. Rates of TKA were computed based on population census data. Age-, sex-, and race-standardized rates were compared between Iowa and Florida, and between Utah and Florida, among adults aged 20-64 years and adults aged ≥ 65 years. RESULTS: There were 10,074, 8954, and 43,908 primary TKAs in Iowa, Utah, and Florida, respectively. Standardized rates were higher in Iowa and Utah than in Florida among both adults aged 20-64 years (Iowa:Florida rate ratio [RR] 1.89, 95% CI 1.79-1.99; Utah:Florida RR 2.31, 95% CI 2.18-2.45) and those aged ≥ 65 years (Iowa:Florida RR 1.41, 95% CI 1.35-1.47; Utah:Florida RR 1.77, 95% CI 1.70-1.85). Results were similar in sensitivity analyses limited to White patients, urban residents, and those with a diagnosis of knee osteoarthritis. CONCLUSION: TKA rates were higher in Iowa and Utah than in Florida among both younger adults and those aged ≥ 65 years, indicating that geographic differences are not specific to elderly patients.

Accessibility of Pharmacist-Prescribed Contraceptives in Utah.

OBJECTIVE: To assess pharmacy participation in and accessibility of pharmacist-prescribed contraception after legislation effective in the state of Utah in 2019. METHODS: A secret-shopper telephone survey was used to assess participation in pharmacist-prescribed contraception. Geospatial analysis was used to map the distribution of participating pharmacies by population characteristics. RESULTS: Of all operating Class A retail pharmacies in Utah, 127 (27%) were providing pharmacist-prescribed contraception 1 year after implementation of the Utah standing order. Oral contraceptive pills were widely accessible (100%); however, other allowed methods were not (vaginal ring 14%; contraceptive patch 2%). Consultation fees and medication costs varied widely. Participating pharmacies were mainly concentrated in population centers. Assuming access to a personal vehicle, urban areas with a high percentage of Hispanic people (Utah's largest minority race or ethnicity group) have access to a participating pharmacy within a 20-minute driving distance. However, access in rural areas with a high percentage Hispanic or other minority were limited. We identified 235 (40%) census tracts with a high proportion of Utah's residents living below the poverty line or of minority race or ethnicity who also had low access to pharmacist-prescribed contraception. CONCLUSIONS: Although the pharmacy-based model is intended to increase access to contraception, practical availability 1 year after the authorization of pharmacist-prescribed contraception in Utah suggests that this service does not adequately serve rural areas, particularly rural areas with a high proportion of minorities and those living below the federal poverty line.

Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.

INTRODUCTION: Addressing the problem of suicidal thoughts and behavior (STB) in adolescents requires understanding the associated risk factors. While previous research has identified individual risk and protective factors associated with many adolescent social morbidities, modern machine learning approaches can help identify risk and protective factors that interact (group) to provide predictive power for STB. This study aims to develop a prediction algorithm for STB among adolescents using the risk and protective factor framework and social determinants of health. METHODS: The sample population consisted of more than 179,000 high school students living in Utah and participating in the Communities That Care (CTC) Youth Survey from 2011-2017. The dataset includes responses to 300+ questions from the CTC and 8000+ demographic factors from the American Census Survey for a total of 1.2 billion values. Machine learning techniques were employed to extract the survey questions that were best able to predict answers indicative of STB, using recent work in interpretable machine learning. RESULTS: Analysis showed strong predictive power, with the ability to predict individuals with STB with 91% accuracy. After extracting the top ten questions that most affected model predictions, questions fell into four main categories: familial life, drug consumption, demographics, and peer acceptance at school. CONCLUSIONS: Modern machine learning approaches provide new methods for understanding the interaction between root causes and outcomes, such as STB. The model developed in this study showed significant improvement in predictive accuracy compared to previous research. Results indicate that certain risk and protective factors, such as adolescents being threatened or harassed through digital media or bullied at school, and exposure or involvement in serious arguments and yelling at home are the leading predictors of STB and can help narrow and reaffirm priority prevention programming and areas of focused policymaking.