Patient Safety Indicators During the Initial COVID-19 Pandemic Surge in the United States

OBJECTIVE

The COVID-19 pandemic presented a challenge to inpatient safety. It is unknown whether there were spillover effects due to COVID-19 into non-COVID-19 care and safety. We sought to evaluate the changes in inpatient Agency for Healthcare Research and Quality patient safety indicators (PSIs) in the United States before and during the first surge of the pandemic among patients admitted without COVID-19.

METHODS

We analyzed trends in PSIs from January 2019 to June 2020 in patients without COVID-19 using data from IBM MarketScan Commercial Database. We included members of employer-sponsored or Medicare supplemental health plans with inpatient, non-COVID-19 admissions. The primary outcomes were risk-adjusted composite and individual PSIs.

RESULTS

We analyzed 1,869,430 patients admitted without COVID-19. Among patients without COVID-19, the composite PSI score was not significantly different when comparing the first surge (Q2 2020) to the prepandemic period (e.g., Q2 2020 score of 2.46 [95% confidence interval {CI}, 2.34-2.58] versus Q1 2020 score of 2.37 [95% CI, 2.27-2.46]; P = 0.22). Individual PSIs for these patients during Q2 2020 were also not significantly different, except in-hospital fall with hip fracture (e.g., Q2 2020 was 3.42 [95% CI, 3.34-3.49] versus Q4 2019 was 2.45 [95% CI, 2.40-2.50]; P = 0.01).

CONCLUSIONS

The first surge of COVID-19 was not associated with worse inpatient safety for patients without COVID-19, highlighting the ability of the healthcare system to respond to the initial surge of the pandemic.

Sex Differences in Primary Care-Based Chronic Kidney Disease Management

This retrospective study uses electronic health record data to investigate the sex differences in guideline-based management outcomes between male and female patients with chronic kidney disease.

A system-wide approach to digital equity: the Digital Access Coordinator program in primary care

INTRODUCTION

The transition to digital tools prompted by the pandemic made evident digital disparities. To address digital literacy gaps, we implemented a system-wide digital navigation program.

METHODS

The Digital Access Coordinator (DAC) program consists of 12 multilingual navigators who support patients in enrolling and using the patient portal and digital tools. We implemented the program in our primary care network which consists of 1.25 million patients across 1211 clinicians.

RESULTS

From May 2021 to November 2022, the DACs completed outreach to 16 045 patients. Of the 13 413 patients they reached, they successfully enrolled 8193 (61%) patients in the patient portal. Of those patients they enrolled, most patients were of Other race, Hispanic ethnicity, and were English-speaking (44%) and Spanish-speaking patients (44%). Using our embedded model, we increased enrollment across 7 clinics (mean increase: 21.3%, standard deviation: 9.2%). Additionally, we identified key approaches for implementing a digital navigation program.

CONCLUSION

Organizations can support patient portal enrollment, a key part of digital health equity, by creating and prioritizing digital navigation programs.

Telehealth Experience Among Patients With Limited English Proficiency

This cross-sectional study assesses the implication of patients’ English language skills for telehealth use and visit experience.

Leveraging large language models to foster equity in healthcare

OBJECTIVES

Large language models (LLMs) are poised to change care delivery, but their impact on health equity is unclear. While marginalized populations have been historically excluded from early technology developments, LLMs present an opportunity to change our approach to developing, evaluating, and implementing new technologies. In this perspective, we describe the role of LLMs in supporting health equity.

MATERIALS AND METHODS

We apply the National Institute on Minority Health and Health Disparities (NIMHD) research framework to explore the use of LLMs for health equity.

RESULTS

We present opportunities for how LLMs can improve health equity across individual, family and organizational, community, and population health. We describe emerging concerns including biased data, limited technology diffusion, and privacy. Finally, we highlight recommendations focused on prompt engineering, retrieval augmentation, digital inclusion, transparency, and bias mitigation.

CONCLUSION

The potential of LLMs to support health equity depends on making health equity a focus from the start.

Racial and Ethnic Differences in Telemedicine Use

Importance

Individuals of racial and ethnic minority groups may be less likely to use telemedicine in part due to lack of access to technology (ie, digital divide). To date, some studies have found less telemedicine use by individuals of racial and ethnic minority groups compared with White individuals, and others have found the opposite. What explains these different findings is unclear.

Objective

To quantify racial and ethnic differences in the receipt of telemedicine and total visits with and without accounting for demographic and clinical characteristics and geography.

Design, Setting, and Participants

This cross-sectional study included individuals who were continuously enrolled in traditional Medicare from March 2020 to February 2022 or until death.

Exposure

Race and ethnicity, which was categorized as Black non-Hispanic, Hispanic, White non-Hispanic, other (defined as American Indian/Pacific Islander, Alaska Native, and Asian), and unknown/missing.

Main Outcomes and Measures

Total telemedicine visits (audio-video or audio); total visits (telemedicine or in-person) per individual during the study period. Multivariable models were used that sequentially adjusted for demographic and clinical characteristics and geographic area to examine their association with differences in telemedicine and total visit utilization by documented race and ethnicity.

Results

In this national sample of 14 305 819 individuals, 7.4% reported that they were Black, 5.6% Hispanic, and 4.2% other race. In unadjusted results, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 16.7 (95% CI, 16.1-17.3), 32.9 (95% CI, 32.3-33.6), and 20.9 (95% CI, 20.2-21.7) more telemedicine visits per 100 beneficiaries, respectively. After adjustment for clinical and demographic characteristics and geography, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 7.9 (95% CI, -8.5 to -7.3), 13.2 (95% CI, -13.9 to -12.6), and 9.2 (95% CI, -10.0 to -8.5) fewer telemedicine visits per 100 beneficiaries, respectively. In unadjusted and fully adjusted models, and in 2019 and the second year of the COVID-19 pandemic, Black individuals, Hispanic individuals, and individuals of other racial groups continued to have fewer total visits than White individuals.

Conclusions and Relevance

The results of this cross-sectional study of US Medicare enrollees suggest that although nationally, Black individuals, Hispanic individuals, and individuals of other racial groups received more telemedicine visits during the pandemic and disproportionately lived in geographic regions with higher telemedicine use, after controlling for geographic region, Black individuals, Hispanic individuals, and individuals of other racial groups received fewer telemedicine visits than White individuals.

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

BACKGROUND

Large language models (LLMs) such as GPT-4 hold great promise as transformative tools in health care, ranging from automating administrative tasks to augmenting clinical decision making. However, these models also pose a danger of perpetuating biases and delivering incorrect medical diagnoses, which can have a direct, harmful impact on medical care. We aimed to assess whether GPT-4 encodes racial and gender biases that impact its use in health care.

METHODS

Using the Azure OpenAI application interface, this model evaluation study tested whether GPT-4 encodes racial and gender biases and examined the impact of such biases on four potential applications of LLMs in the clinical domain-namely, medical education, diagnostic reasoning, clinical plan generation, and subjective patient assessment. We conducted experiments with prompts designed to resemble typical use of GPT-4 within clinical and medical education applications. We used clinical vignettes from NEJM Healer and from published research on implicit bias in health care. GPT-4 estimates of the demographic distribution of medical conditions were compared with true US prevalence estimates. Differential diagnosis and treatment planning were evaluated across demographic groups using standard statistical tests for significance between groups.

FINDINGS

We found that GPT-4 did not appropriately model the demographic diversity of medical conditions, consistently producing clinical vignettes that stereotype demographic presentations. The differential diagnoses created by GPT-4 for standardised clinical vignettes were more likely to include diagnoses that stereotype certain races, ethnicities, and genders. Assessment and plans created by the model showed significant association between demographic attributes and recommendations for more expensive procedures as well as differences in patient perception.

INTERPRETATION

Our findings highlight the urgent need for comprehensive and transparent bias assessments of LLM tools such as GPT-4 for intended use cases before they are integrated into clinical care. We discuss the potential sources of these biases and potential mitigation strategies before clinical implementation.

FUNDING

Priscilla Chan and Mark Zuckerberg.

Digestive glycosidases from cannonball jellyfish (Stomolophus sp. 2): identification and temporal-spatial variability

Jellyfish are economically important organisms in diverse countries, carnivorous organisms that consume various prey (crustaceans, mollusks, bivalves, etc.) and dissolved carbohydrates in marine waters. This study was focused on detecting and quantifying the activity of digestive glycosidases from the cannonball jellyfish (Stomolophus sp. 2) to understand carbohydrate digestion and its temporal-spatial variation. Twenty-three jellyfish gastric pouches were collected in 2015 and 2016 in the Gulf of California in three localities (Las Guásimas, Hermosillo, and Caborca). Nine samples were in intra-localities from Las Guásimas. Chitinase (Ch), β-glucosidase (β-glu), and β-N-acetylhexosaminidase (β-NAHA) were detected in the gastric pouches. However, cellulase, exoglucanase, α-amylase, polygalacturonase, xylanase, and κ-carrageenase were undetected. Detected enzymes showed halotolerant glycolytic activity (i = 0-4 M NaCl), optimal pH, and temperature at 5.0 and 30-50 °C, respectively. At least five β-glucosidase and two β-N-acetylhexosaminidase were detected using zymograms; however, the number of proteins with chitinase activity is not precise. The annual variation of cannonball jellyfish digestive glycosidases from Las Guásimas between 2015-2016 does not show significant differences despite the difference in phytoplankton measured as chlorophyll α (1.9 and 3.4 mg/m3, respectively). In the inter-localities, the glycosidase activity was statistically different in all localities, except for β-N-acetylhexosaminidase activity between Caborca and Hermosillo (3,009.08 ± 87.95 and 3,101.81 ± 281.11 mU/g of the gastric pouch, respectively), with chlorophyll α concentrations of 2.6, 3.4 mg/m3, respectively. For intra-localities, the glycosidase activity did not show significant differences, with a mean chlorophyll α of 1.3 ± 0.1 mg/m3. These results suggest that digestive glycosidases from Stomolophus sp. 2 can hydrolyze several carbohydrates that may belong to their prey or carbohydrates dissolved in marine waters, with salinity over ≥ 0.6 M NaCl and diverse temperature (4-80 °C) conditions. Also, chlorophyll α is related to glycosidase activity in both seasons and inter-localities, except for chitinase activity in an intra-locality (Las Guásimas).

Access challenges for patients with limited English proficiency: a secret-shopper study of in-person and telehealth behavioral health services in California safety-net clinics

The recent growth of telehealth may be impacting access to care for patients, including those with limited English proficiency (LEP). Using a secret-shopper design, simulated patients contacted 386 safety-net clinics in California in both Spanish and English from February-March 2023. Callers stated that they were new patients seeking medication for depression, and they documented time to an appointment and available visit modalities (telehealth and in-person). Multinomial logistic regression models examined associations between clinic characteristics and available modalities. English-speaking callers were more likely to speak with a live scheduler and to obtain appointment information from a scheduler who could engage with them in their preferred language. Among Spanish-speaking callers who reached a live scheduler, 22% reached someone who did not engage (eg, were hung up on) and, as a result, could not obtain appointment information. The mean estimated time to a prescribing visit was 36 days and did not differ by language. Sixty-four percent of clinics offered both telehealth and in-person visits, 14% only offered in-person visits, and 22% only offered telehealth visits. More attention and resources are needed to support patients with LEP at the point of scheduling and to ensure choice of visit modality for all patient populations.

Telehealth Policy, Practice, and Education: a Position Statement of the Society of General Internal Medicine

Telehealth services, specifically telemedicine audio-video and audio-only patient encounters, expanded dramatically during the COVID-19 pandemic through temporary waivers and flexibilities tied to the public health emergency. Early studies demonstrate significant potential to advance the quintuple aim (patient experience, health outcomes, cost, clinician well-being, and equity). Supported well, telemedicine can particularly improve patient satisfaction, health outcomes, and equity. Implemented poorly, telemedicine can facilitate unsafe care, worsen disparities, and waste resources. Without further action from lawmakers and agencies, payment will end for many telemedicine services currently used by millions of Americans at the end of 2024. Policymakers, health systems, clinicians, and educators must decide how to support, implement, and sustain telemedicine, and long-term studies and clinical practice guidelines are emerging to provide direction. In this position statement, we use clinical vignettes to review relevant literature and highlight where key actions are needed. These include areas where telemedicine must be expanded (e.g., to support chronic disease management) and where guidelines are needed (e.g., to prevent inequitable offering of telemedicine services and prevent unsafe or low-value care). We provide policy, clinical practice, and education recommendations for telemedicine on behalf of the Society of General Internal Medicine. Policy recommendations include ending geographic and site restrictions, expanding the definition of telemedicine to include audio-only services, establishing appropriate telemedicine service codes, and expanding broadband access to all Americans. Clinical practice recommendations include ensuring appropriate telemedicine use (for limited acute care situations or in conjunction with in-person services to extend longitudinal care relationships), that the choice of modality be done through patient-clinician shared decision-making, and that health systems design telemedicine services through community partnerships to ensure equitable implementation. Education recommendations include developing telemedicine-specific educational strategies for trainees that align with accreditation body competencies and providing educators with protected time and faculty development resources.

Persistence of Unequal Access to Classical Hematology Telemedicine Visits by Race and Other Demographics During the COVID-19 Pandemic

Background: Unequal access to telemedicine services exacerbates health inequities and was evident at the start of the COVID-19 pandemic. We sought to explore whether unequal access persisted within a classical hematology division beyond the peak of COVID-19. Methods: Patient demographics by virtual visit type (telephone only [TO] or video only [VO]) between March 2020 and December 2021 were analyzed using adjusted odds ratio (aOR). Results: Of 8,207 patients, 18.4% had TO and 28.4% had VO visits. Fewer Black (21.8%; aOR 0.5 [0.4-0.62]), Hispanic or Latino (18.8%; 0.45 [0.34-0.59]), Spanish-speaking (7.6%; 0.32 [0.19-0.54]), high school (21.2%; 0.64 [0.52-0.78]), and older (24.2%) patients used VO compared with White (30.6%), English-speaking (29.5%), college (31%), postgraduate (34.9%), and younger (35.4%) patients. Conclusions: Groups that historically experience health inequities had fewer VO visits during and beyond the pandemic peak. Thus, there is a need to continue digital inclusion efforts to promote video access equity.

Achieving Digital Health Equity by Personalizing the Patient Experience

Background

COVID saw a significant increase in the use of virtual care, supporting its utility and its benefits. It also revealed that unfortunately there are limitations and gaps we still need to address, including inequitable access to digitally enabled health care tools.

Methods

On November 8, 2022, the Mass General Brigham held the Third Annual Virtual Care Symposium: Demystifying Clinical Appropriateness in Virtual Care and What's Ahead for Pay Parity. One panel addressed digital health equity and key points are summarized here.

Results

Four experts discussed the key domains of digital equity and inclusion in the session titled "Achieving Digital Health Equity: Is it a One-Size-Fits-All Approach or Personalized Patient Experience?" These included lessons from strategies and tactics being used by hospitals and health systems to address digital equity issues; and opportunities to achieve digital health equity for specific populations (e.g., Medicaid).

Conclusions

Understanding the drivers of digital health disparities can help organizations and health care systems develop and test strategies to reduce them and improve access to quality health care through digitally enabled technologies and delivery channels.

Racism and Electronic Health Records (EHRs): Perspectives for research and practice

Informatics researchers and practitioners have started exploring racism related to the implementation and use of electronic health records (EHRs). While this work has begun to expose structural racism which is a fundamental driver of racial and ethnic disparities, there is a lack of inclusion of concepts of racism in this work. This perspective provides a classification of racism at 3 levels-individual, organizational, and structural-and offers recommendations for future research, practice, and policy. Our recommendations include the need to capture and use structural measures of social determinants of health to address structural racism, intersectionality as a theoretical framework for research, structural competency training, research on the role of prejudice and stereotyping in stigmatizing documentation in EHRs, and actions to increase the diversity of private sector informatics workforce and participation of minority scholars in specialty groups. Informaticians have an ethical and moral obligation to address racism, and private and public sector organizations have a transformative role in addressing equity and racism associated with EHR implementation and use.

Computational modeling of the effect of five mutations on the structure of the ACE2 receptor and their correlation with infectivity and virulence of some emerged variants of SARS-CoV-2 suggests mechanisms of binding affinity dysregulation

Interactions between the human angiotensin-converting enzyme 2 (ACE2) and the RBD region of the SARS-CoV-2 Spike protein are critical for virus entry into the host cell. The objective of this work was to identify some of the most relevant SARS-CoV-2 Spike variants that emerged during the pandemic and evaluate their binding affinity with human variants of ACE2 since some ACE2 variants can enhance or reduce the affinity of the interaction between the ACE2 and S proteins. However, no information has been sought to extrapolate to different variants of SARS-CoV-2. Therefore, to understand the impact on the affinity of the interaction between ACE2 protein variants and SARS-CoV-2 protein S variants, molecular docking was used in this study to predict the effects of five mutations of ACE2 when they interact with Alpha, Beta, Delta, Omicron variants and a hypothetical variant, which present mutations in the RBD region of the SARS-CoV-2 Spike protein. Our results suggest that these variants could alter the interaction of the Spike and the human ACE2 protein, losing or creating new inter-protein contacts, enhancing viral fitness by improving binding affinity, and leading to an increase in infectivity, virulence, and transmission. This investigation highlighted that the S19P mutation of ACE2 decreases the binding affinity between the ACE2 and Spike proteins in the presence of the Beta variant and the wild-type variant of SARS-CoV-2 isolated in Wuhan-2019. The R115Q mutation of ACE2 lowers the binding affinity of these two proteins in the presence of the Beta and Delta variants. Similarly, the K26R mutation lowers the affinity of the interaction between the ACE2 and Spike proteins in the presence of the Alpha variant. This decrease in binding affinity is probably due to the lack of interaction between some of the key residues of the interaction complex between the ACE2 protein and the RBD region of the SARS-CoV-2 Spike protein. Therefore, ACE2 mutations appear in the presence of these variants, they could suggest an intrinsic resistance to COVID-19 disease. On the other hand, our results suggested that the K26R, M332L, and K341R mutations of ACE2 expressively showed the affinity between the ACE2 and Spike proteins in the Alpha, Beta, and Delta variants. Consequently, these ACE2 mutations in the presence of the Alpha, Beta, and delta variants of SARS-CoV-2 could be more infectious and virulent in human cells compared to the SARS-CoV-2 isolated in Wuhan-2019 and it could have a negative prognosis of the disease. Finally, the Omicron variant in interaction with ACE2 WT, S19P, R115Q, M332L, and K341R mutations of ACE2 showed a significant decrease in binding affinity. This could be consistent that the Omicron variant causes less severe symptoms than previous variants. On the other hand, our results suggested Omicron in the complex with K26R, the binding affinity is increased between ACE2/RBD, which could indicate a negative prognosis of the disease in people with these allelic conditions.

The Association of the First Surge of the COVID-19 Pandemic with the High- and Low-Value Outpatient Care Delivered to Adults in the USA

BACKGROUND

The first surge of the COVID-19 pandemic entirely altered healthcare delivery. Whether this also altered the receipt of high- and low-value care is unknown.

OBJECTIVE

To test the association between the April through June 2020 surge of COVID-19 and various high- and low-value care measures to determine how the delivery of care changed.

DESIGN

Difference in differences analysis, examining the difference in quality measures between the April through June 2020 surge quarter and the January through March 2020 quarter with the same 2 quarters' difference the year prior.

PARTICIPANTS

Adults in the MarketScan® Commercial Database and Medicare Supplemental Database.

MAIN MEASURES

Fifteen low-value and 16 high-value quality measures aggregated into 8 clinical quality composites (4 of these low-value).

KEY RESULTS

We analyzed 9,352,569 adults. Mean age was 44 years (SD, 15.03), 52% were female, and 75% were employed. Receipt of nearly every type of low-value care decreased during the surge. For example, low-value cancer screening decreased 0.86% (95% CI, -1.03 to -0.69). Use of opioid medications for back and neck pain (DiD +0.94 [95% CI, +0.82 to +1.07]) and use of opioid medications for headache (DiD +0.38 [95% CI, 0.07 to 0.69]) were the only two measures to increase. Nearly all high-value care measures also decreased. For example, high-value diabetes care decreased 9.75% (95% CI, -10.79 to -8.71).

CONCLUSIONS

The first COVID-19 surge was associated with receipt of less low-value care and substantially less high-value care for most measures, with the notable exception of increases in low-value opioid use.

Differences in End-of-Life Care between COVID-19 Inpatient Decedents with English Proficiency and Limited English Proficiency

Background: Patients with limited English proficiency (LEP) experience lower quality end-of-life (EOL) care. This inequity may have been exacerbated during the COVID-19 pandemic. Objective: Compare health care utilization, EOL, and palliative care outcomes between COVID-19 decedents with and without LEP during the pandemic's first wave in Massachusetts. Methods: Retrospective cohort study of adult inpatients who died from COVID-19 between February 18, 2020 and May 18, 2020 at two academic and four community hospitals within a greater Boston health care system. We performed multivariable regression adjusting for patient sociodemographic variables and hospital characteristics. Primary outcome was place of death (intensive care unit [ICU] vs. non-ICU). Secondary outcomes included hospital and ICU length of stay and time to initial palliative care consultation. Results: Among 337 patients, 89 (26.4%) had LEP and 248 (73.6%) were English proficient. Patients with LEP were less often white (24 [27.0%] vs. 193 [77.8%]; p < 0.001); were more often Hispanic or Latinx (40 [45.0%] vs. 13 [5.2%]; p < 0.001); and less often had a medical order for life-sustaining treatment (MOLST) on admission (15 [16.9%] vs. 120 [48.4%]; p < 0.001) versus patients with English proficiency. In the multivariable analyses, LEP was not independently associated with ICU death, ICU length of stay, or time to palliative care consultation, but was independently associated with increased hospital length of stay (mean difference 4.12 days; 95% CI, 1.72-6.53; p < 0.001). Conclusions: Inpatient COVID-19 decedents with LEP were not at increased risk of an ICU death, but were associated with an increased hospital length of stay versus inpatient COVID-19 decedents with English proficiency.

Leveraging Digital Technology to Reduce Cancer Care Inequities

The rise of digital technologies such as telehealth, mobile apps, electronic medical records, and telementoring for rural primary care providers could provide opportunities for improving equity in cancer care delivery and outcomes. Benefitting from new technologies requires access to broadband internet, appropriate devices (smartphones, computers, etc.) along with basic digital literacy skills to use the devices. When these requirements are not met, the likelihood of widening existing inequities in access to care increases. This article introduces opportunities for improving cancer care using health informatics systems for engaging patients and flagging bias and existing videoconferencing technology to build workforce capacity. Policy recommendations for expanding evidence-based interventions are also highlighted, with the aim of mitigating the effects of workforce shortages and reducing persistent inequities in access to and quality of care.

User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care

OBJECTIVE

To determine user and electronic health records (EHR) integration requirements for a scalable remote symptom monitoring intervention for asthma patients and their providers.

METHODS

Guided by the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a user-centered design process involving English- and Spanish-speaking patients and providers affiliated with an academic medical center. We conducted a secondary analysis of interview transcripts from our prior study, new design sessions with patients and primary care providers (PCPs), and a survey of PCPs. We determined EHR integration requirements as part of the asthma app design and development process.

RESULTS

Analysis of 26 transcripts (21 patients, 5 providers) from the prior study, 21 new design sessions (15 patients, 6 providers), and survey responses from 55 PCPs (71% of 78) identified requirements. Patient-facing requirements included: 1- or 5-item symptom questionnaires each week, depending on asthma control; option to request a callback; ability to enter notes, triggers, and peak flows; and tips pushed via the app prior to a clinic visit. PCP-facing requirements included a clinician-facing dashboard accessible from the EHR and an EHR inbox message preceding the visit. PCP preferences diverged regarding graphical presentations of patient-reported outcomes (PROs). Nurse-facing requirements included callback requests sent as an EHR inbox message. Requirements were consistent for English- and Spanish-speaking patients. EHR integration required use of custom application programming interfaces (APIs).

CONCLUSION

Using the NASSS framework to guide our user-centered design process, we identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care. These requirements met the needs of patients and providers. Additional standards for PRO displays and EHR inbox APIs are needed to facilitate spread.

Health Care Equity in the Use of Advanced Analytics and Artificial Intelligence Technologies in Primary Care

The integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of equity are incorporated into their implementation and use. Without such efforts, tools will potentially reflect the myriad of ways in which data, algorithmic, and analytic biases can be produced, with the potential to widen inequities by race, ethnicity, gender, and other sociodemographic factors implicated in disparate health outcomes. We propose a set of strategic assertions to examine before, during, and after adoption of these technologies in order to facilitate healthcare equity across all patient population groups. The purpose is to enable generalists to promote engagement with technology companies and co-create, promote, or support innovation and insights that can potentially inform decision-making and health care equity.

Digital Disparities: Lessons learned from a Patient Reported Outcomes Program During the COVID-19 Pandemic

The collection of patient reported outcomes (PROs) allows us to incorporate the patient's voice within their care in a quantifiable, validated manner. Large scale collection of PROs is facilitated by the electronic health record (EHR) and its portal, though historically patients have eschewed the portal and completed patient reported outcome measures (PROMS) in clinic via tablet. Furthermore, access to and use of the portal is associated with known racial inequities. Our institution oversees the largest clinical PRO program in the world, and has a long history of racially equitable PRO completion rates via tablet. However, when the COVID-19 pandemic forced us to remove tablets from clinics and rely exclusively on portal use for PRO completion, profound racial disparities resulted immediately. Our experience quantifiably demonstrates the magnitude of inequity that the portal, in its current configuration, generates and serves as a cautionary tale to other health care systems and EHRs.

Monopolar and dipolar relaxation in spin ice Ho2Ti2O7

Ferromagnetically interacting Ising spins on the pyrochlore lattice of corner-sharing tetrahedra form a highly degenerate manifold of low-energy states. A spin flip relative to this "spin-ice" manifold can fractionalize into two oppositely charged magnetic monopoles with effective Coulomb interactions. To understand this process, we have probed the low-temperature magnetic response of spin ice to time-varying magnetic fields through stroboscopic neutron scattering and SQUID magnetometry on a new class of ultrapure Ho₂Ti₂O₇ crystals. Covering almost 10 decades of time scales with atomic-scale spatial resolution, the experiments resolve apparent discrepancies between prior measurements on more disordered crystals and reveal a thermal crossover between distinct relaxation processes. Magnetic relaxation at low temperatures is associated with monopole motion through the spin-ice vacuum, while at elevated temperatures, relaxation occurs through reorientation of increasingly spin-like monopolar bound states. Spin fractionalization is thus directly manifest in the relaxation dynamics of spin ice.

Inner ear drug delivery through a cochlear implant: Pharmacokinetics in a Macaque experimental model

OBJECTIVES

The method of drug delivery directly into the cochlea with an implantable pump connected to a CI electrode array ensures long-term delivery and effective dose control, and also provides the possibility to use different drugs. The objective is to develop a model of inner ear pharmacokinetics of an implanted cochlea, with the delivery of FITC-Dextran, in the non-human primate model.

DESIGN

A preclinical cochlear electrode array (CI Electrode Array HL14DD, manufactured by Cochlear Ltd.) attached to an implantable peristaltic pump filled with FITC-Dextran was implanted unilaterally in a total of 15 Macaca fascicularis (Mf). Three groups were created (5 Mf in each group), according to three different drug delivery times: 2 hours, 24 hours and 7 days. Perilymph (10 samples, 1μL each) was sampled from the apex of the cochlea and measured immediately after extraction with a spectrofluorometer. After scarifying the specimens, x-Rays and histological analysis were performed.

RESULTS

Surgery, sampling and histological analysis were performed successfully in all specimens. FITC-Dextran quantification showed different patterns, depending on the delivery group. In the 2 hours injection experiment, an increase in FITC-Dextran concentrations over the sample collection time was seen, reaching maximum concentration peaks (420-964µM) between samples 5 and 7, decreasing in successive samples, without returning to baseline. The 24-hours and 7-days injection experiments showed even behaviour throughout the 10 samples obtained, reaching a plateau with mean concentrations ranging from 2144 to 2564 µM and from 1409 to 2502µM, respectively. Statistically significant differences between the 2 hours and 24 hours groups (p = 0.001) and between the 2 hours and 7 days groups (p = 0.037) were observed, while between the 24 hours and 7 days groups no statistical differences were found.

CONCLUSIONS

This experimental study shows that a model of drug delivery and pharmacokinetics using an active pump connected to an electrode array is feasible in Mf. An infusion time ranging from 2 to 24 hours is required to reach a maximum concentration peak at the apex. It establishes then an even concentration profile from base to apex that is maintained throughout the infusion time in Mf. Flow mechanisms during injection and during sampling that may explain such findings may involve cochlear aqueduct flow as well as the possible existence of substance exchange from scala tympani to extracellular spaces, such as the modiolar space or the endolymphatic sinus, acting as a substance reservoir to maintain a relatively flat concentration profile from base to apex during sampling. Leveraging the learnings achieved by experimentation in rodent models, we can move to experiment in non-human primate with the aim of achieving a useful model that provides transferrable data to human pharmacokinetics. Thus, it may broaden clinical and therapeutic approaches to inner ear diseases.

The missing strategy in addressing language barriers

The coronavirus disease 2019 pandemic is magnifying preexisting health disparities whereby patients with limited English proficiency receive lower-quality health care and experience poorer outcomes. To address these realities, language interventions to date have focused on interpreter services and linguistically tailored health information. But these limited solutions fail to target a more upstream, overlooked, and modifiable factor: a patient's access to improving their English proficiency and health literacy. We present recommendations for addressing language as a social determinant of health by improving access to English as a Second Language programs. This article outlines steps that health systems and policy makers can take to more directly treat upstream causes of language disparities.

Differences in the use of telephone and video telemedicine visits during the COVID-19 pandemic

OBJECTIVES

The coronavirus disease 2019 (COVID-19) pandemic forced health systems to offer video and telephone visits as in-person visit alternatives. Although video visits offer some benefits compared with telephone visits, they require complex setup, which may disadvantage some patients due to the "digital divide." Our objective was to determine patient and neighborhood characteristics associated with visit modality.

STUDY DESIGN

This was a cross-sectional study across 1652 primary care and specialty care practices of adult patients at an integrated health system from April 23 to June 1, 2020.

METHODS

We used electronic health record and administrative data. Our primary outcome was visit modality (in-person, video, or telephone), which was captured using billing codes. We assessed predictors of using video vs telephone using multivariable logistic regression. We used hierarchical logistic regression to determine the contribution of patient-, physician-, and practice-level components of variance in the choice of video or telephone visits.

RESULTS

We analyzed 231,596 visits by 162,102 patients. Sixty-five percent of the visits were virtual (31.7% telephone, 33.5% video). Patients who were older than 65 years (adjusted odds ratio [AOR], 0.41; 95% CI, 0.40-0.43), Black (AOR, 0.60; 95% CI, 0.57-0.63), Hispanic (AOR, 0.76; 95% CI, 0.73-0.80), Spanish-speaking (AOR, 0.57; 95% CI, 0.52-0.61), and from areas with low broadband access (AOR, 0.93; 95% CI, 0.88-0.98) were less likely to use video visits. Practices (38%) and clinicians (26%) drove more of the variation in video visit use than patients (9%).

CONCLUSIONS

Telemedicine access differences may compound disparities in chronic disease and COVID-19 outcomes. Institutions should monitor video visit use across demographics and equip patients, clinicians, and practices to promote telemedicine equity.

Telemedicine, COVID-19, and disparities: Policy implications

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COVID-19 has resulted in a dramatic increase in the use of telemedicine but this could worsen disparities.

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We review recent telemedicine policy changes and their implications regarding disparities.

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We also discuss what systems can do to improve access to telemedicine and to best meet the needs of underserved patients.

While the rapid expansion of telemedicine in response to the COVID-19 pandemic highlights the impressive ability of health systems to adapt quickly to new complexities, it also raises important concerns about how to implement these novel modalities equitably. As the healthcare system becomes increasingly virtual, it risks widening disparities among marginalized populations who have worse health outcomes at baseline and limited access to the resources necessary for the effective use of telemedicine. In this article, we review recent policy changes and outline important recommendations that governments and health care systems can adopt to improve access to telemedicine and to tailor the use of these technologies to best meet the needs of underserved patients. We suggest that by making health equity integral to the implementation of telemedicine now, it will help to ensure that all can benefit from its use going forward and that this will be increasingly integral to care delivery.

Evolution of Octupole Deformation in Radium Nuclei from Coulomb Excitation of Radioactive ^{222}Ra and ^{228}Ra Beams

There is sparse direct experimental evidence that atomic nuclei can exhibit stable "pear" shapes arising from strong octupole correlations. In order to investigate the nature of octupole collectivity in radium isotopes, electric octupole (E3) matrix elements have been determined for transitions in ^{222,228}Ra nuclei using the method of sub-barrier, multistep Coulomb excitation. Beams of the radioactive radium isotopes were provided by the HIE-ISOLDE facility at CERN. The observed pattern of E3 matrix elements for different nuclear transitions is explained by describing ^{222}Ra as pear shaped with stable octupole deformation, while ^{228}Ra behaves like an octupole vibrator.

P1551A genetic risk score predicts recurrent events after myocardial infarction in young adults

Background

To evaluate whether a genetic risk score (GRS) improves the prediction of recurrent events in young non-diabetic patients presenting with an acute myocardial infarction and identifies a more aggressive form of atherosclerosis in this population.

Methods and results

We performed a prospective study including 81 consecutive non-diabetic patients aged below 55 y.o. presenting with an acute myocardial infarction (48±6 y.o., 89% male). A comprehensive study including serum biomarkers, genetic testing and cardiac CT was performed. We studied the association of a GRS composed of 11 genetic variants with a primary composite end-point (all-cause mortality, recurrent acute coronary syndrome, and cardiac re-hospitalisation). After a median follow-up of 4.1 (3.5 - 4.4) years 24 recurrent events were documented. A significantly higher prevalence of 9 out of 11 risk alleles was noted compared with general population. The GRS was significantly associated with recurrent events, especially when baseline LDL-cholesterol levels were elevated. Compared with the low-risk GRS category, the multivariate-adjusted hazard ratio for recurrent events for the intermediate-risk GRS category was 10.2 (95% CI 1.1–100.3, p=0.04) and for the high-risk GRS was 20.7 (2.4–181.0, p=0.006) when LDL-C ≥2.8 mmol/L. Inclusion of the GRS improved the C statistic (ΔC statistic =0.086), the continuous Net Reclassification Index (30%) and the Integrated Discrimination Improvement (0.05) compared with a multivariate clinical risk model. Cardiac CT detected coronary calcified atherosclerosis and numerous plaques but it had a limited value for prediction of recurrences. No association was observed between extracellular matrix metabolism biomarkers and GRS or recurrent events in this population.

Cox regression analysis between GRS terciles and LDL-C Univariate analysis Multivariate analysis* HR (95% CI) p-value HR (95% CI) p-value* Low GRS 1 1 Intermediate GRS 2.0 (0.7–5.8) 0.21 LDL-C≤110 mg/dL (≤2.8 mmol/L) 1.0 (0.3–4.0) >110 mg/dL (>2.8 mmol/L) 10.2 (1.1–100.3) 0.04 High GRS 3.0 (1.0–9.2) 0.05 LDL-C≤110 mg/dL (≤2.8 mmol/L) 0.3 (0.1–1.9) >110 mg/dL (>2.8 mmol/L) 20.7 (2.4–181.0) 0.006 *Multivariate model adjusted for GRACE risk score and LDL-C and interaction. There was a strong interaction between GRS terciles and LDL-C (p<0.01).

Recurrent events based on genetic risk

Conclusions

A multilocus genetic risk score identified non-diabetic young patients at increased risk for recurrent events after a myocardial infarction. The significance of LDL-cholesterol in relation to genetic predisposition for recurrences merits further evaluation.

Acknowledgement/Funding

Instituto de Salud Carlos III (PI12/0564, PI14/01152 and PI15/00667), the CIBERCV and the Spanish Society of Cardiology (2015/CC)

The observation of vibrating pear-shapes in radon nuclei

There is a large body of evidence that atomic nuclei can undergo octupole distortion and assume the shape of a pear. This phenomenon is important for measurements of electric-dipole moments of atoms, which would indicate CP violation and hence probe physics beyond the Standard Model of particle physics. Isotopes of both radon and radium have been identified as candidates for such measurements. Here, we observed the low-lying quantum states in ²²⁴Rn and ²²⁶Rn by accelerating beams of these radioactive nuclei. We show that radon isotopes undergo octupole vibrations but do not possess static pear-shapes in their ground states. We conclude that radon atoms provide less favourable conditions for the enhancement of a measurable atomic electric-dipole moment.

Enhanced Quadrupole and Octupole Strength in Doubly Magic ^{132}Sn

The first 2^{+} and 3^{-} states of the doubly magic nucleus ^{132}Sn are populated via safe Coulomb excitation employing the recently commissioned HIE-ISOLDE accelerator at CERN in conjunction with the highly efficient MINIBALL array. The ^{132}Sn ions are accelerated to an energy of 5.49  MeV/nucleon and impinged on a ^{206}Pb target. Deexciting γ rays from the low-lying excited states of the target and the projectile are recorded in coincidence with scattered particles. The reduced transition strengths are determined for the transitions 0_{g.s.}^{+}→2_{1}^{+}, 0_{g.s.}^{+}→3_{1}^{-}, and 2_{1}^{+}→3_{1}^{-} in ^{132}Sn. The results on these states provide crucial information on cross-shell configurations which are determined within large-scale shell-model and Monte Carlo shell-model calculations as well as from random-phase approximation and relativistic random-phase approximation. The locally enhanced B(E2;0_{g.s.}^{+}→2_{1}^{+}) strength is consistent with the microscopic description of the structure of the respective states within all theoretical approaches. The presented results of experiment and theory can be considered to be the first direct verification of the sphericity and double magicity of ^{132}Sn.

Using Publicly Available Data to Understand the Opioid Overdose Epidemic: Geospatial Distribution of Discarded Needles in Boston, Massachusetts

OBJECTIVES

To use publicly available, crowdsourced data to understand geospatial trends in discarded needles.

METHODS

We completed multiple geospatial analyses of discarded needles reported through the Boston, Massachusetts, 311 service request system.

RESULTS

Between May 2015 and August 2017, 4763 discarded needles were reported. The highest concentration of needles were reported in census block groups in the South End and Roxbury neighborhoods. Cumulatively, 78.3% of the needles were reported within 1 kilometer of methadone clinics, safe needle deposit sites, homeless shelters, or hospitals.

CONCLUSIONS

Publicly reported data can help identify hot spots of discarded needles and examine indicators of spatial association. In Boston, the number of discarded needles being reported is rising, with the highest density of needles found in 2 central neighborhoods with several outlying hot spots. Most needles were found near areas associated with social stress and substance use disorder. Public Health Implications. This analysis represents a novel way of leveraging publicly available information to target community responses to the opioid epidemic. Identifying hot spots of discarded needles may enable public health organizations to target future efforts to encourage safer needle disposal practices and reduce public injection drug use.

The Spanish Availability and Readability of Diabetes Apps

BACKGROUND

There is growing evidence supporting the use of mobile health apps for the management of diabetes. Given the disproportionate impact of diabetes on Latinos, especially those with limited English proficiency (LEP) and low literacy, diabetes apps have the potential to address existing health disparities. Our study aimed to understand the current accessibility of diabetes apps for these populations.

METHODS

We searched the Android and iOS stores for the term "diabetes" to identify patient-facing diabetes apps. We reviewed the app store descriptions and user interfaces for Spanish availability. We assessed the readability of the descriptions in English and Spanish using the Lexile Analyzer and the Flesch-Kincaid Reading Grade Level.

RESULTS

Overall, in reviewing both app stores, 30% (28/92) of apps had descriptions available in Spanish, of which 41% (18/44) of Android apps were available in Spanish and 21% (10/48) iOS apps were available in Spanish. In addition, the readability of 94% (90/96) for the app store descriptions was above the recommended reading level for patient education material in English and Spanish. The overall kappa coefficient for app translation quality assessment was .72, reflecting moderate interrater agreement.

CONCLUSIONS

Despite the evidence supporting the use of diabetes apps, they do not cater to the language needs of LEP Latino patients.

Structure-based inhibitors of tau aggregation

Aggregated tau protein is associated with over 20 neurological disorders, which include Alzheimer's disease. Previous work has shown that tau's sequence segments VQIINK and VQIVYK drive its aggregation, but inhibitors based on the structure of the VQIVYK segment only partially inhibit full-length tau aggregation and are ineffective at inhibiting seeding by full-length fibrils. Here we show that the VQIINK segment is the more powerful driver of tau aggregation. Two structures of this segment determined by the cryo-electron microscopy method micro-electron diffraction explain its dominant influence on tau aggregation. Of practical significance, the structures lead to the design of inhibitors that not only inhibit tau aggregation but also inhibit the ability of exogenous full-length tau fibrils to seed intracellular tau in HEK293 biosensor cells into amyloid. We also raise the possibility that the two VQIINK structures represent amyloid polymorphs of tau that may account for a subset of prion-like strains of tau.