Chantel Sloan-Aagard

Introduction: Past patient data from health information exchanges (HIE) can enhance physician-patient interactions, although how and how often is unclear. We sought to determine how and how often past medical records provided by an HIE impacts current decision-making by emergency physicians. Methods: We identified qualifying emergency department (ED) visits between September 24-26, 2022. The primary feature of a qualifying visit was a separate ED visit within three days prior at a separate hospital system. Fifty-five charts with essential details of each patient’s most recent visit were reviewed in duplicate by 22 emergency medicine residents. Reviewers accessed prior medical records for each patient via an HIE clinical viewer. The primary outcome was the influence of knowledge from prior records on interactions during the most recent visit, measured with 11 Likert-scale ratings. Reviewer agreement was used as an indicator of confidence. Results: Reviewers most frequently agreed that the information from the prior visit was valuable “a moderate amount” (25% of all reviewer pairs) and agreed that the information would cause them to change their approach (69%). They would adjust treatment protocols because of understanding what had been tried previously (67%) and ask the patient different questions (78%). There was also agreement that they would further compare laboratory tests or imaging between visits (67%) and better understand patient behavioral patterns (73%). Conclusion: Access to patients’ previous medical records (diagnoses, imaging reports, discharge reports, etc) via HIEs impacts how emergency physicians communicate with patients, evaluate cases, and make medical decisions.

Type 2 diabetes and prediabetes are associated with a higher risk of several health conditions. We conducted a cross-sectional study to compare the prevalence of comorbidities among 88,724 adults with prediabetes and 12,071 adults with type 2 diabetes in El Paso, Texas, using data from the Paso del Norte Health Information Exchange (PHIX) from 1 January 2021, to 31 January 2023. We estimated prevalence ratios (aPR) adjusted for age decade, gender, and Hispanic ethnicity. Individuals with prediabetes, compared to type 2 diabetes, had lower adjusted prevalence of circulatory (59.1% vs. 80.4%; aPR = 0.82 [95% CI: 0.81–0.84]), genitourinary (44.9% vs. 50.5%; aPR = 0.97 [0.96–0.99]), respiratory (32.0% vs. 35.7%; aPR = 0.94 [0.92–0.97]), neurological (27.4% vs. 32.8%; aPR = 0.91 [0.88–0.94]), blood (21.2% vs. 30.5%; aPR = 0.77 [0.75–0.80]), mental (19.5% vs. 26.1%; aPR = 0.72 [0.69–0.75]), infectious (12.8% vs. 21.5%; aPR = 0.63 [0.60–0.66]), skin (12.2% vs. 14.8%; aPR = 0.82 [0.78–0.86]), and COVID-19 (10.2% vs. 11.9%; aPR = 0.86 [0.81–0.91]) diseases/conditions. Adjusted prevalence was higher among those with prediabetes for musculoskeletal (53.8% vs. 47.0%; aPR = 1.19 [1.17, 1.21]), ear (18.4% vs. 12.9%; aPR = 1.54 [1.47–1.60]), eye (11.1% vs. 7.8%; aPR = 1.52 [1.43, 1.61]), digestive (44.0% vs. 44.0%; aPR = 1.02 [1.00–1.05]), and neoplastic (14.4% vs. 14.5%; aPR = 1.12 [1.06–1.17]) diseases/conditions. People with prediabetes in El Paso, Texas, had a lower prevalence of most comorbidities than those with type 2 diabetes, suggesting that preventing prediabetes from progressing to type 2 diabetes could have a beneficial impact on comorbid disease burden.

Social determinants of health are known to underly excessive burden from infectious diseases. However, it is unclear if social determinants are strong enough drivers to cause repeated infectious disease clusters in the same location. When infectious diseases are known to co-occur, such as in the co-occurrence of HIV and TB, it is also unknown how much social determinants of health can shift or intensify the co-occurrence. We collected available data on COVID-19, HIV, influenza, and TB by county in the United States from 2019–2022. We applied the Kulldorff scan statistic to examine the relative risk of each disease by year depending on the data available. Additional analyses using the percent of the county that is below the US poverty level as a covariate were conducted to examine how much clustering is associated with poverty levels. There were three counties identified at the centers of clusters in both the adjusted and unadjusted analysis. In the poverty-adjusted analysis, we found a general shift of infectious disease burden from urban to rural clusters.

PURPOSE Few studies have determined whether clinician usage of a community health information exchange (HIE) directly improves patient care transitions. We hypothesized that lookup in the HIE by primary care physicians of patients recently released from the hospital would increase the time until hospital reuse. METHODS We identified a retrospective cohort of 8,216 hospital inpatients aged over 18 years that were discharged from January 1, 2021 through November 30, 2021 using the Paso del Norte Health Information Exchange, in El Paso County, Texas. All patients had a primary care physician visit within 30 days after hospital discharge, and we identified patients that were looked up in the HIE close to that visit. Of the cohort, 2,627 were rehospitalized and 3,809 visited an emergency department (ED) during the follow-up window. The remaining 1,780 patients were controls. We conducted survival analysis, censoring at the second ED or inpatient visit or end of the study window (January 31, 2022). The model was adjusted by ethnicity, gender, insurance, and age. RESULTS Lookup in the HIE was significantly associated with reducing the likelihood of visiting the ED by 53% and being rehospitalized by 61%. Lookup in the HIE was associated with an increased median time to use of the ED after inpatient discharge from 99 to 238 patient days. Ethnicity, insurance, gender, and age were also significant predictors of hospital reuse. CONCLUSIONS Increased utilization of community HIEs by primary care physicians on behalf of their recently discharged patients may dramatically increase the time until inpatient or ED reuse.

Background: Coronavirus disease 2019 (COVID-19) vaccination coverage remains lower in communities with higher social vulnerability. Factors such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure risk and access to healthcare are often correlated with social vulnerability and may therefore contribute to a relationship between vulnerability and observed vaccine effectiveness (VE). Understanding whether these factors impact VE could contribute to our understanding of real-world VE. Methods: We used electronic health record data from 7 health systems to assess vaccination coverage among patients with medically attended COVID-19-like illness. We then used a test-negative design to assess VE for 2- and 3-dose messenger RNA (mRNA) adult (≥18 years) vaccine recipients across Social Vulnerability Index (SVI) quartiles. SVI rankings were determined by geocoding patient addresses to census tracts; rankings were grouped into quartiles for analysis. Results: In July 2021, primary series vaccination coverage was higher in the least vulnerable quartile than in the most vulnerable quartile (56% vs 36%, respectively). In February 2022, booster dose coverage among persons who had completed a primary series was higher in the least vulnerable quartile than in the most vulnerable quartile (43% vs 30%). VE among 2-dose and 3-dose recipients during the Delta and Omicron BA.1 periods of predominance was similar across SVI quartiles. Conclusions: COVID-19 vaccination coverage varied substantially by SVI. Differences in VE estimates by SVI were minimal across groups after adjusting for baseline patient factors. However, lower vaccination coverage among more socially vulnerable groups means that the burden of illness is still disproportionately borne by the most socially vulnerable populations.

The foundational role of health information exchanges (HIEs) is to facilitate communication between clinical partners in real time. Once this infrastructure for the secure and immediate flow of patient information is built, however, HIEs can benefit community public health and clinical care in myriad other ways that are in line with their mission, goals, patient privacy, and funding structures. We encourage the development of community-integrated HIEs and list specific steps that can be taken toward community integration. We give three examples of those steps in action from a community HIE in El Paso, TX. Each local partnership, in combination with technology innovation, resulted in the development of informatics tools to address community health needs and generated long-term benefits, especially for the most vulnerable patients. Two examples relate to different aspects of the COVID-19 pandemic and a third to the Afghan refugee evacuation.

The Navajo Nation, an area home to approximately 173,000 people in the southwest United States, experiences the highest rates of food insecurity in the United States and is classified as a food desert. The present study assessed the accessibility to food outlets (grocery stores, convenience stores, and restaurants) as measured by driving time on the Navajo Nation and in selected surrounding border towns. Food outlets located in neighboring border towns were examined using network analysis tools in ArcGIS Pro to calculate driving distance and examine the potential impact of driving time within the Navajo Nation on accessibility to nutritious foods. There were 14 grocery stores, 21 convenience stores, and 65 restaurants identified in the Navajo Nation using Mergent Intellect, a proprietary database, as compared to border towns which had a total of 542 grocery stores, 762 convenience stores, and 3,329 restaurants equaling a ratio of about 50:1 (grocery, 39:1; convenience, 36:1; restaurants, 51:1) when comparing food outlets nearby versus on the Navajo Nation. This ecological study presents a visual representation of driving time and food accessibility, revealing geographic areas within the Navajo Nation where access to border town food stores is sparse, and food insecurity may be elevated.

Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States. Most infections are mild and clear without treatment in 1 to 2 years. Some HPV strains result in persistent infection, which can cause various cancers, including cervical, penile, anal, mouth, and throat cancers. Vaccines have been developed that provide protection against the highest risk HPV strains. Despite HPV vaccines having been proven to be safe and effective, uptake has been low. Religiosity has been negatively correlated with HPV vaccine uptake in some studies. It is hypothesized that religiosity and Christian religious affiliation could impact parents’ decision to vaccinate their children against HPV via teachings and beliefs about sexual behaviors. A survey was distributed to participants to determine what factors, including religiosity and views about sex, impacted HPV vaccination. The survey results (n = 442) were analyzed using confirmatory factor analysis, structural equation modeling, and univariate factor analysis. The association between religious practice and vaccine attitudes were complex, with religious practice slightly positively correlated with pro-vaccine attitudes and vaccine knowledge, but also with the belief that religious adherence to expectations surrounding sexual behavior will protect children from HPV infection, as well as more negative views towards vaccines, in general.

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.