Dying with dementia in nursing homes: A population-based study of decedents and their families.

BACKGROUND: Families play a critical role in end-of-life (EOL) care for nursing home (NH) residents with dementia. Despite the important role of family, little is known about the availability and characteristics of families of persons with dementia who die in NHs. METHODS: This is a retrospective cohort study of 18,339 individuals 65 years and older with dementia who died in a Utah NH between 1998 and 2016, linked to their first-degree family (FDF) members (n = 52,566; spouses = 11.3%; children = 58.3%; siblings = 30.3%). Descriptive statistics, chi-square tests, and t-tests were used to describe the study cohort and their FDF members and to compare sociodemographic and death characteristics of NH decedents with (n = 14,398; 78.5%) and without FDF (n = 3941; 21.5%). RESULTS: Compared with NH decedents with FDF, NH decedents with dementia without FDF members were more likely to be older (mean age 86.5 vs 85.5), female (70.5% vs 59.3%), non-White/Hispanic (9.9% vs 3.2%), divorced/separated/widowed (84.4% vs 61.1%), less educated (<12th grade; 42.2% vs 33.7%), have Medicare and Medicaid (20.8% vs 12.5%), and die in a rural/frontier NH (25.0% vs 23.4%). NH decedents who did not have FDF were also more likely to die from cancer (4.2% vs 3.9%), chronic obstructive pulmonary disease (COPD; 3.9% vs 2.5%), and dementia (40.5% vs 38.4%) and were less likely to have 2+ inpatient hospitalizations at EOL (13.9% vs 16.2%), compared with NH decedents with FDF. CONCLUSIONS: Findings highlight differences in social determinants of health (e.g., sex, race, marital status, education, insurance, rurality) between NH decedents with dementia who do and do not have FDF-factors that may influence equity in EOL care. Understanding the role of family availability and familial characteristics on EOL care outcomes for NH residents with dementia is an important next step to informing NH dementia care interventions and health policies.

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.

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).

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.

Coronavirus Disease Contact Tracing Outcomes and Cost, Salt Lake County, Utah, USA, March-May 2020.

Outcomes and costs of coronavirus disease (COVID-19) contact tracing are limited. During March-May 2020, we constructed transmission chains from 184 index cases and 1,499 contacts in Salt Lake County, Utah, USA, to assess outcomes and estimate staff time and salaries. We estimated 1,102 staff hours and $29,234 spent investigating index cases and contacts. Among contacts, 374 (25%) had COVID-19; secondary case detection rate was ≈31% among first-generation contacts, ≈16% among second- and third-generation contacts, and ≈12% among fourth-, fifth-, and sixth-generation contacts. At initial interview, 51% (187/370) of contacts were COVID-19-positive; 35% (98/277) became positive during 14-day quarantine. Median time from symptom onset to investigation was 7 days for index cases and 4 days for first-generation contacts. Contact tracing reduced the number of cases between contact generations and time between symptom onset and investigation but required substantial resources. Our findings can help jurisdictions allocate resources for contact tracing.

Evaluating the impact of social deprivation on Press Ganey® Outpatient Medical Practice Survey Scores.

BACKGROUND: Social deprivation has been shown to affect access to health care services, and influences outcomes for a variety of physical and psychological conditions. However, the impact on patient satisfaction remains less clear. The objective of this study was to determine if social deprivation is an independent predictor of patient satisfaction, as measured by the Press Ganey® Outpatient Medical Practice Survey (PGOMPS). METHODS: We retrospectively reviewed unique new adult patient (≥ 18 years of age) seen at a tertiary academic hospital and rural/urban outreach hospitals/clinics between January 2014 and December 2017. Satisfaction was defined a priori as achieving a score above the 33rd percentile. The 2015 Area Deprivation Index (ADI) was used to determine social deprivation (lower score signifies less social deprivation). Univariate and multivariable binary logistic regression were used to determine the impact of ADI on PGOMPS total and provider sub-scores while controlling for variables previously shown to impact scores (wait time, patient age, sex, race, specialty type, provider type, and insurance status). RESULTS: Univariate analysis of PGOMPS total scores revealed a 4% decrease in odds of patient satisfaction per decile increase in ADI (p < 0.001). Patients within the most deprived quartile were significantly less likely to report satisfaction compared to the least deprived quartile (OR 0.79, p < 0.001). Multivariable analysis revealed that the odds of achieving satisfaction decreased 2% for each decile increase in ADI on the Total Score (p < 0.001), independent of other variables previously shown to impact scores. For PGOMPS Provider Sub-Score, univariate analysis showed that patients in the lowest ADI quartile were significantly less likely be satisfied, as compared to the least deprived quartile (OR 0.77; 95% CI 0.70-0.86; p < 0.001). A 5% decrease in a patient being satisfied was observed for each decile increase in ADI (OR 0.95; 95% CI 0.94-0.96; p < 0.001). CONCLUSIONS: Social deprivation was an independent predictor of outpatient visit dissatisfaction, as measured by the Press Ganey® Outpatient Medical Practice Survey. These results necessitate consideration when developing health care delivery policies that serve to minimize inequalities between patients of differing socioeconomic groups.

Assessment of contact tracing for COVID-19 among people experiencing homelessness, Salt Lake County Health Department, March-May 2020.

PURPOSE: Contact tracing is intended to reduce the spread of coronavirus disease 2019 (COVID-19), but it is difficult to conduct among people who live in congregate settings, including people experiencing homelessness (PEH). This analysis compares person-based contact tracing among two populations in Salt Lake County, Utah, from March-May 2020. METHODS: All laboratory-confirmed positive cases among PEH (n = 169) and documented in Utah's surveillance system were included in this analysis. The general population comparison group (n = 163) were systematically selected from all laboratory-confirmed cases identified during the same period. RESULTS: Ninety-three PEH cases (55%) were interviewed compared to 163 (100%) cases among the general population (P < .0001). PEH were more likely to be lost to follow-up at end of isolation (14.2%) versus the general population (0%; P-value < .0001) and provided fewer contacts per case (0.3) than the general population (4.7) (P-value < .0001). Contacts of PEH were more often unreachable (13.0% vs. 7.1%; P-value < .0001). CONCLUSIONS: These findings suggest that contact tracing among PEH should include a location-based approach, along with a person-based approach when resources allow, due to challenges in identifying, locating, and reaching cases among PEH and their contacts through person-based contact tracing efforts alone.

Robust Testing in Outpatient Settings to Explore COVID-19 Epidemiology: Disparities in Race/Ethnicity and Age, Salt Lake County, Utah, 2020.

OBJECTIVE: US-based descriptions of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have focused on patients with severe disease. Our objective was to describe characteristics of a predominantly outpatient population tested for SARS-CoV-2 in an area receiving comprehensive testing. METHODS: We extracted data on demographic characteristics and clinical data for all patients (91% outpatient) tested for SARS-CoV-2 at University of Utah Health clinics in Salt Lake County, Utah, from March 10 through April 24, 2020. We manually extracted data on symptoms and exposures from a subset of patients, and we calculated the adjusted odds of receiving a positive test result by demographic characteristics and clinical risk factors. RESULTS: Of 17 662 people tested, 1006 (5.7%) received a positive test result for SARS-CoV-2. Hispanic/Latinx people were twice as likely as non-Hispanic White people to receive a positive test result (adjusted odds ratio [aOR] = 2.0; 95% CI, 1.3-3.1), although the severity at presentation did not explain this discrepancy. Young people aged 0-19 years had the lowest rates of receiving a positive test result for SARS-CoV-2 (<4 cases per 10 000 population), and adults aged 70-79 and 40-49 had the highest rates of hospitalization per 100 000 population among people who received a positive test result (16 and 11, respectively). CONCLUSIONS: We found disparities by race/ethnicity and age in access to testing and in receiving a positive test result among outpatients tested for SARS-CoV-2. Further research and public health outreach on addressing racial/ethnic and age disparities will be needed to effectively combat the coronavirus disease 2019 pandemic in the United States.

Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.

Coronavirus disease 2019 (COVID-19) has had a substantial impact on racial and ethnic minority populations and essential workers in the United States, but the role of geographic social and economic inequities (i.e., deprivation) in these disparities has not been examined (1,2). As of July 9, 2020, Utah had reported 27,356 confirmed COVID-19 cases. To better understand how area-level deprivation might reinforce ethnic, racial, and workplace-based COVID-19 inequities (3), the Utah Department of Health (UDOH) analyzed confirmed cases of infection with SARS-CoV-2 (the virus that causes COVID-19), COVID-19 hospitalizations, and SARS-CoV-2 testing rates in relation to deprivation as measured by Utah's Health Improvement Index (HII) (4). Age-weighted odds ratios (weighted ORs) were calculated by weighting rates for four age groups (≤24, 25-44, 45-64, and ≥65 years) to a 2000 U.S. Census age-standardized population. Odds of infection increased with level of deprivation and were two times greater in high-deprivation areas (weighted OR = 2.08; 95% confidence interval [CI] = 1.99-2.17) and three times greater (weighted OR = 3.11; 95% CI = 2.98-3.24) in very high-deprivation areas, compared with those in very low-deprivation areas. Odds of hospitalization and testing also increased with deprivation, but to a lesser extent. Local jurisdictions should use measures of deprivation and other social determinants of health to enhance transmission reduction strategies (e.g., increasing availability and accessibility of SARS-CoV-2 testing and distributing prevention guidance) to areas with greatest need. These strategies might include increasing availability and accessibility of SARS-CoV-2 testing, contact tracing, isolation options, preventive care, disease management, and prevention guidance to facilities (e.g., clinics, community centers, and businesses) in areas with high levels of deprivation.

Considering the Potential Health Impacts of Electric Scooters: An Analysis of User Reported Behaviors in Provo, Utah.

Electric scooters (e-scooters) are an increasingly popular form of transportation in urban areas. While research on this topic has focused primarily on injuries, there are multiple mechanisms by which e-scooter share programs may impact health. The aim of this study is to explore the health-related behaviors of e-scooter users and to discuss their implications for public health. Data were collected using an online survey emailed to registered e-scooter users. A total of 1070 users completed the survey. Descriptive variable statistics and chi-squared analysis were performed to determine variable dependent relationships and equality of proportions. The most common destinations reported were "just riding around for fun", home, and dining/shopping. The two most common modes of transportation that would have been used if e-scooters were not available were walking (43.5%) and using a personal vehicle (28.5%). Riding behavior was equally mixed between on the street, on the sidewalk, and equal amounts of both. e-Scooters in Provo are likely having both positive (e.g., air pollution) and negative impacts on health (e.g., injuries, physical inactivity). Future research should further explore patterns of e-scooter use and explicitly examine the linkages between e-scooters and areas of health beyond just injuries.

Racial and Ethnic Disparities Among COVID-19 Cases in Workplace Outbreaks by Industry Sector - Utah, March 6-June 5, 2020.

Improved understanding of the overall distribution of workplace coronavirus disease 2019 (COVID-19) outbreaks by industry sector could help direct targeted public health action; however, this has not been described. The Utah Department of Health (UDOH) analyzed COVID-19 surveillance data to describe workplace outbreaks by industry sectors. In this report, workplaces refer to non-health care, noncongregate-living, and noneducational settings. As of June 5, 2020, UDOH reported 277 COVID-19 outbreaks, 210 (76%) of which occurred in workplaces. Approximately 12% (1,389 of 11,448) of confirmed COVID-19 cases in Utah were associated with workplace outbreaks. The 210 workplace outbreaks occurred in 15 of 20 industry sectors;* nearly one half of all workplace outbreaks occurred in three sectors: Manufacturing (43; 20%), Construction (32; 15%) and Wholesale Trade (29; 14%); 58% (806 of 1,389) of workplace outbreak-associated cases occurred in these three sectors. Although 24% of Utah's workforce in all 15 affected sectors identified as Hispanic or Latino (Hispanic) or a race other than non-Hispanic white (nonwhite†) (1), 73% (970 of 1,335) of workplace outbreak-associated COVID-19 cases were in persons who identified as Hispanic or nonwhite. Systemic social inequities have resulted in the overrepresentation of Hispanic and nonwhite workers in frontline occupations where exposure to SARS-CoV-2, the virus that causes COVID-19, might be higher (2); extra vigilance in these sectors is needed to ensure prevention and mitigation strategies are applied equitably and effectively to workers of racial and ethnic groups disproportionately affected by COVID-19. Health departments can adapt workplace guidance to each industry sector affected by COVID-19 to account for different production processes and working conditions.

Primary Care Autism Screening and Later Autism Diagnosis.

OBJECTIVES: To describe the proportion of children screened by the Modified Checklist for Autism in Toddlers (M-CHAT), identify characteristics associated with screen completion, and examine associations between autism spectrum disorder (ASD) screening and later ASD diagnosis. METHODS: We examined data from children attending 18- and 24-month visits between 2013 and 2016 from 20 clinics within a health care system for evidence of screening with the M-CHAT and subsequent coding of ASD diagnosis at age >4.75 years. We interviewed providers for information about usual methods of M-CHAT scoring and ASD referral. RESULTS: Of 36 233 toddlers, 73% were screened and 1.4% were later diagnosed with ASD. Hispanic children were less likely to be screened (adjusted prevalence ratio [APR]: 0.95, 95% confidence interval [CI]: 0.92-0.98), and family physicians were less likely to screen (APR: 0.12, 95% CI: 0.09-0.15). Compared with unscreened children, screen-positive children were more likely to be diagnosed with ASD (APR: 10.3, 95% CI: 7.6-14.1) and were diagnosed younger (38.5 vs 48.5 months, P < .001). The M-CHAT's sensitivity for ASD diagnosis was 33.1%, and the positive predictive value was 17.8%. Providers routinely omitted the M-CHAT follow-up interview and had uneven referral patterns. CONCLUSIONS: A majority of children were screened for ASD, but disparities exist among those screened. Benefits for screen-positive children are improved detection and younger age of diagnosis. Performance of the M-CHAT can be improved in real-world health care settings by administering screens with fidelity and facilitating timely ASD evaluations for screen-positive children. Providers should continue to monitor for signs of ASD in screen-negative children.

Evaluation of Online Risk Assessment To Identify Rabies Exposures Among Health Care Workers - Utah, 2019.

On November 7, 2018, the Utah Department of Health (UDOH) reported the first confirmed human rabies death in the state since 1944 (1). The case occurred in a person who had been treated over a period of 19 days at four health care facilities and an emergency medical transport service across three counties and two states. Human rabies is preventable through preexposure or postexposure vaccination but is invariably fatal upon symptom onset. Timely identification of persons who might have been exposed to rabies virus is therefore crucial to administer postexposure prophylaxis (PEP). Because of the large number of health care workers who had been involved in the patient's care, a standardized online risk assessment survey was developed by UDOH based on Advisory Committee on Immunization Practices recommendations (2). This online tool was evaluated for accuracy, acceptability, and administrative obligation by reviewing the results from the tool and conducting focus group discussions and a follow-up survey. Among 90 health care workers initially identified by the online risk assessment as being potentially exposed to infectious material, 74 were classified as exposed. All 74 health care workers received PEP following consultation with occupational health staff members, indicating a positive predictive value of the assessment tool of 82%. In a follow-up survey, 42 (76%) of the 55 respondents reported that they were satisfied with the assessment process. In focus group discussions, participants suggested that the survey could be improved by providing additional information about rabies exposures because many of them were unfamiliar with human-to-human rabies transmission. This evaluation highlighted the importance of adopting clear communication strategies, demonstrated the benefits of using an online risk assessment during a mass rabies exposure, and provided specific feedback for CDC to improve resources available for states and health care facilities after mass rabies exposures.

Investigation of the Environmental and Socio-Economic Characteristics of Counties with a High Asthma Burden to Focus Asthma Action in Utah.

Rising adult asthma prevalence (AAP) rates and asthma emergency room (AER) visits constitute a large burden on public health in Utah (UT), a high-altitude state in the Great Basin Desert, USA. This warrants an investigation of the characteristics of the counties with the highest asthma burden within UT to improve allocation of health resources and for planning. The relations between several predictor environmental, health behavior and socio-economic variables and two health outcome variables, AAP and AER visits, were investigated for UT's 29 counties. Non-parametric statistical comparison tests, correlation and linear regression analysis were used to determine the factors significantly associated with AER visits and AAP. Regression kriging with Utah small area data (USAD) as well as socio-economic and pollution data enabled local Moran's I cluster analysis and the investigation of moving correlations between health outcomes and risk factors. Results showed the importance of desert/mining dust and socio-economic status as AAP and AER visits were greatest in the south of the state, highlighting a marked north-south divide in terms of these factors within the state. USAD investigations also showed marked differences in pollution and socio-economic status associated with AAP within the most populous northern counties. Policies and interventions need to address socio-economic inequalities within counties and between the north and south of the state. Fine (PM2.5) and coarse (PM10) particulate matter monitors should be installed in towns in central and southern UT to monitor air quality as these are sparse, but in the summer, air quality can be worse here. Further research into spatiotemporal variation in air quality within UT is needed to inform public health interventions such as expanding clean fuel programs and targeted land-use policies. Efforts are also needed to examine barriers to routine asthma care.

Telehealth Is a Sustainable Population Health Strategy to Lower Costs and Increase Quality of Health Care in Rural Utah.

PURPOSE: A telehealth oncology practice was created to care for patients in rural communities to improve access to health care, decrease financial burdens, and save time. PATIENTS AND METHODS: Patients with cancer at Sevier Valley Hospital in Richfield, Utah, were treated with a real-time video-based telehealth program under the care of an oncologist at a tertiary medical center. Data on financial savings, travel hours, mileage avoided, carbon emissions reduced, and revenue retained by Sevier Valley Hospital were collected from 2015 to 2018. RESULTS: From 2015 to 2018, 119 patients with cancer in Richfield, Utah, were treated with telehealth for oncology visits, accounting for 1,025 patient encounters. On average, patients saved 4 hours and 40 minutes and 332 miles roundtrip per encounter. In total, patients' savings were estimated to be $333,074. Carbon emissions were reduced by approximately 150,000 kg. Of new patient referrals, 59% were for solid tumors (70 of 119 referrals; 42 metastatic and 28 nonmetastatic cancers), and 41% were hematology consultations (49 of 119 referrals; 28 classical and 21 malignant hematologic conditions). We estimate that Sevier Valley Hospital retained $3,605,500 in revenue over this 4-year period. CONCLUSION: Using a telehealth program in rural Utah, patients with cancer benefited from substantial time and monetary savings. The local medical center was able to retain revenue it would have otherwise lost to outsourcing cancer care. Recent regulatory changes to address the COVID-19 pandemic should increase the number of patients with cancer treated via telehealth nationwide.

A vulnerability assessment for the HCV infections associated with injection drug use.

After the 2014-2015 HIV outbreak in Scott County, Indiana, United States Centers for Disease Control and Prevention (CDC) conducted a nationwide analysis to identify vulnerable counties to an outbreak of Hepatitis C Virus (HCV)/Human Immunodeficiency Virus (HIV) and prevent such an outbreak in the future. We developed a jurisdiction-level vulnerability assessment for HCV infections associated with injection drug use (IDU) in Utah. We used three years of data (2015-2017) from 15 data sources to construct a regression model to identify significant indicators of IDU. A ZIP Code, county, or individual-level measure of IDU does not exist, therefore, CDC has suggested using HCV cases as a proxy for IDU. We used the Social Vulnerability Index to highlight vulnerable areas to HCV outbreaks and applied Geographical Information System (GIS) to identify hot spots of HCV infections (i.e. current/ongoing HCV transmissions). Rates of skin infection, buprenorphine prescription, administered naloxone, teen birth, and per capita income were associated with HCV infections. The opioid epidemic is dynamic and over time, it impacts different communities through its sequelae such as HCV outbreaks. We need to conduct this vulnerability assessment frequently, using updated data, to better target our resources. Moreover, we should consider evaluating whether the improvement of HCV screening has an impact on controlling HCV outbreaks. The analysis informs Utah's agencies and healthcare officials to target resources and interventions to prevent IDU-related HCV outbreaks. Our results inform policymakers at the national level on possible indicators of HCV outbreaks as well.

COVID-19 preparedness: Clinical pharmacy services remote staffing in a quaternary, level I trauma and comprehensive stroke center.

PURPOSE: The rapid spread of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has strained the resources of healthcare systems around the world. In accordance with recommendations from the World Health Organization, Centers for Disease Control and Prevention, and US Department of Defense, Intermountain Medical Center (IMED) in Murray, UT, has developed a plan to provide remote clinical pharmacy services to protect the health of pharmacy caregivers while maintaining appropriate clinical pharmacy coverage to optimally care for patients. SUMMARY: The utilization of telemedicine technology permits clinical pharmacists to readily communicate with nurses, physicians, other caregivers, and patients. We have identified strategies to allow clinical pharmacists to continue to participate in daily rounds, provide consultations under collaborative practice agreements, verify medication orders, collect medication histories, provide antimicrobial stewardship, and deliver medication education to patients from off-site locations. The pharmacy department at IMED proactively tested telemedicine technologies, defined the roles of clinical pharmacists, and identified communication strategies prior to a rapid rise in COVID-19 cases in the state of Utah. CONCLUSION: The proactive measures described can help ensure that pharmacy caregivers have appropriate remote access and are capable of confidently using the resources. These steps allow for optimal care of hospitalized patients and promote social distancing, which may have the added benefit of decreasing the spread of SARS-CoV-2 among patients and caregivers.

Feasibility of Capturing Cancer Treatment Data in the Utah All-Payer Claims Database.

PURPOSE: Incompleteness of treatment data is a recognized limitation of cancer registry data. An all-payer claims database (APCD) is a tool that states use to capture health care information across systems and payer. We linked the Utah Cancer Registry (UCR) records to Utah's statewide APCD and evaluated how this linkage led to improvements in the capture of cancer treatment information. METHODS: We linked cancers diagnosed and reported to the UCR with Utah APCD claims for the calendar years 2013 and 2014 using LinkPlus Software. For patients with breast or colorectal cancers, manual abstraction was completed to provide a gold-standard comparison for the treatment data obtained from the claims. RESULTS: Among 10,759 reportable cancer occurrences linked to the APCD, the claims identified additional patients with cancer who received therapies that had been unknown to the registry, increasing the proportion treated with chemotherapy from 23.7% to 27.6%, hormone therapy from 14.1% to 18.8%, immunotherapy from 4.3% to 13.2%, and radiation therapy from 24.9% to 27.5%. The APCD increased the sensitivity of treatment variables compared with the abstraction gold standard. Notably, sensitivity of hormonal therapy for breast cancer increased from 78.6% to 95.2% when augmented with APCD claims data. However, the APCD alone did not achieve as high specificity for treatment data as did the data collected through traditional registry methods. CONCLUSIONS: This is the first study, to our knowledge, showing that linking cancer registry data with a statewide claims database that covers multiple insurance companies improves cancer treatment data collection. Linking of cancer registry and APCD data can improve comprehensiveness of cancer registry treatment data.