Access to What for Whom? How Care Delivery Innovations Impact Health Equity.

Achieving health equity (where every person has the opportunity to attain their full health potential) requires the removal of obstacles to health, including barriers to high-quality medical care. Innovations in service delivery can inadvertently maintain, worsen, or introduce inequities. As such, implementation of innovations must be accompanied by a dual commitment to evaluate impact on marginalized groups and to restructure systems that obstruct people from health and healthcare. Understanding the impact innovations have on access to high-quality care is central to this effort. In this Perspective, we join conceptual models of healthcare access and quality with health equity frameworks to conceptualize healthcare receipt as a series of interactions between people and systems unfolding over time. This synthesized model is applied to illustrate the effects of telemedicine on patient, population, and system outcomes. Telemedicine may improve or worsen health equity by altering access to care and by altering quality of care once it is accessed. Teasing out these varied effects is complex and requires considering multilevel influences on the outcome of a care-seeking episode. This synthesized model can be used to inform research, practice, and policy surrounding the equity implications of care delivery innovations more broadly.

Visits of concern in child neurology telemedicine.

AIM: To characterize child neurology telemedicine visits flagged as requiring in-person evaluation during the COVID-19 pandemic. METHOD: We analyzed 7130 audio-video telemedicine visits between March and November 2020. Visits of concern (VOCs) were defined as telemedicine visits where the clinical scenario necessitated in-person follow-up evaluation sooner than if the visit had been conducted in-person. RESULTS: VOCs occurred in 5% (333/7130) of visits for 292 individuals (148 females, 144 males). Providers noted technical challenges more often in VOCs (40%; 133/333) than visits without concern (non-VOCs) (28%; 1922/6797) (p < 0.05). The median age was younger in VOCs (9 years 3 months, interquartile range [IQR] 2 years 0 months-14 years 3 months) than non-VOCs (11 years 3 months, IQR 5 years 10 months-15 years 10 months) (p < 0.05). Median household income was lower for patients with VOCs ($74 K, IQR $55 K-$97 K) compared to non-VOCs ($80 K, IQR $61 K-$100 K) (p < 0.05). Compared with all other race categories, families who self-identified as Black were more likely to have a VOC (odds ratio 1.53, 95% confidence interval 1.21-2.06). Epilepsy and headache represented the highest percentages of VOCs, while neuromuscular disorders and developmental delay had a higher proportion of VOCs than other neurological disorders. INTERPRETATION: These findings suggest that telemedicine is an effective platform for most child neurology visits. Younger children and those with neuromuscular disorders or developmental delays are more likely to require in-person evaluation. WHAT THIS PAPER ADDS: It is possible to successfully flag patients who need in-person assessment. Providers can manage issues arising during telemedicine in 95% of visits. Visits flagged as concerning were likely unrelated to modality of patient care. Provider concern was independent of technical difficulties for most telehealth visits. Younger age may be correlated with need for in-person assessment.

Analysis: Protocol for a New Method to Measure Physiologic Monitor Alarm Responsiveness.

Evaluating the clinical impacts of healthcare alarm management systems plays a critical role in assessing newly implemented monitoring technology, exposing latent threats to patient safety, and identifying opportunities for system improvement. We describe a novel, accurate, rapidly implementable, and readily reproducible in situ simulation approach to measure alarm response times and rates without the challenges and expense of video analysis. An interprofessional team consisting of biomedical engineers, human factors engineers, information technology specialists, nurses, physicians, facilitators from the hospital's simulation center, clinical informaticians, and hospital administrative leadership worked with three units at a pediatric hospital to design and conduct the simulations. Existing hospital technology was used to transmit a simulated, unambiguously critical alarm that appeared to originate from an actual patient to the nurse's mobile device, and discreet observers measured responses. Simulation observational data can be used to design and evaluate quality improvement efforts to address alarm responsiveness and to benchmark performance of different alarm communication systems.

The Global Health Informatics landscape and JAMIA.

Global Health Informatics (GHI) as a branch of health informatics has been established for 2 decades now. During that time, great strides have been made in the creation and implementation of informatics tools to improve healthcare delivery and outcomes in the most vulnerable and remote communities worldwide. In many of the most successful projects, innovation has been shared between teams in high- and low- or middle-income countries (LMICs). In this perspective, we review the state of the academic field of GHI and the work published in JAMIA in the last 6 1/2 years. We apply criteria for articles about LMICs, those on international health, and on indigenous and refugee population, and subtypes of research. For comparison, we apply those criteria to JAMIA Open and 3 other health informatics journals which publish articles on GHI. We make recommendations for future directions and the role that journals like JAMIA can play in strengthening this work worldwide.

Health information technology and equity: Applying history's lessons to tomorrow's innovations.

Health and health care disparities are widespread with major impacts on outcomes for children and families. Inequitable care is poor quality care. Though health IT has the potential to improve disparities, health IT implementation can have unintended consequences of widening, maintaining, or creating disparities by disproportionately benefiting advantaged children, adolescents, and their caregivers. Narrowing disparities can be achieved by embracing an approach that places marginalized patients at the center of health IT design and implementation. Health care systems can leverage the disparity-reducing potential of health information technologies by housing innovation within an equity framework. Initial steps include evaluating for disparities exacerbated by health IT, implementing universal precautions to prevent health IT intervention-generated inequalities, and co-designing future innovations with marginalized communities. By directly addressing community needs, health IT systems designed to effectively benefit underserved children, adolescents, and their caregivers have the potential to yield more equitable health care IT, and better outcomes for our young patients.

Electronic health records, mobile health, and the challenge of improving global health.

Technology continues to impact healthcare around the world. This provides great opportunities, but also risks. These risks are compounded in low-resource settings where errors in planning and implementation may be more difficult to overcome. Global Health Informatics provides lessons in both opportunities and risks by building off of general Global Health. Global Health Informatics also requires a thorough understanding of the local environment and the needs of low-resource settings. Forming effective partnerships and following the lead of local experts are necessary for sustainability; it also ensures that the priorities of the local community come first. There is an opportunity for partnerships between low-resource settings and high income areas that can provide learning opportunities to avoid the pitfalls that plague many digital health systems and learn how to properly implement technology that truly improves healthcare.

Characteristics of Emergency Room and Hospital Encounters Resulting From Consumer Home Monitors.

BACKGROUND AND OBJECTIVES: Consumer home monitors (CHM), which measure vital signs, are popular products marketed to detect airway obstruction and arrhythmia. Yet, they lack evidence of infant death prevention, demonstrate suboptimal accuracy, and may result in false alarms that prompt unnecessary acute care visits. To better understand the hospital utilization and costs of CHM, we characterized emergency department (ED) and hospital encounters associated with CHM use at a children's hospital. METHODS: We used structured query language to search the free text of all ED and admission notes between January 2013 and December 2019 to identify clinical documentation discussing CHM use. Two physicians independently reviewed the presence of CHM use and categorized encounter characteristics. RESULTS: Evidence of CHM use contributed to the presentation of 36 encounters in a sample of over 300 000 encounters, with nearly half occurring in 2019. The leading discharge diagnoses were viral infection (13, 36%), gastroesophageal reflux (8, 22%) and false positive alarm (6, 17%). Median encounter duration was 20 hours (interquartile range: 3 hours to 2 days; max 10.5 days) and median cost of encounters was $2188 (interquartile range: $255 to $7632; max $84 928). CONCLUSIONS: Although the annual rate of CHM-related encounters was low and did not indicate a major public health burden, for individual families who present to the ED or hospital for concerns related to CHMs, there may be important adverse financial and emotional consequences.

Racial and Ethnic Disparities in the Research and Care of Hereditary Angioedema Patients in the United States.

BACKGROUND: Hereditary angioedema (HAE) affects all races and both sexes equally. Minority patients are underrepresented in clinical trials and may be at risk for additional disease burden. OBJECTIVES: To examine racial and ethnic disparities in the research and care of patients with HAE. METHODS: We conducted a retrospective population-based study using TriNetX Diamond Network. International Classification of Diseases, 10th Revision, Current Procedural Terminology, and RxNorm codes identified patients with HAE. The proportions of White, Black, and Hispanic patients with HAE were contrasted with racial and ethnic distributions of patients with HAE in clinical trials. Lifetime prevalence of mental health disorders and HAE treatments was contrasted among different racial and ethnic groups. RESULTS: A population-based search identified 2122 patients with HAE. The prevalence of HAE among Black patients (1.64/100,000 patients) mirrored that of White patients (1.47/100,000 patients), whereas there was a lower HAE prevalence among Hispanic patients (0.80/100,000 patients). The demographics of the 1274 patients with HAE included in phase 2/3 clinical trials differed significantly from population-based data with overrepresentation of White patients (89.9% vs 77.9%) and underrepresentation of Black patients (3.8% vs 13.6%) and Hispanic patients (1.3% vs 8.1%). Across the different racial and ethnic groups of patients with HAE, the prevalence of mental health disorders was comparatively higher than among patients without HAE. Whereas depression was equally prevalent across the different HAE racial and ethnic groups, anxiety was more prevalent among White patients. CONCLUSIONS: Clinical trials for Food and Drug Administration-approved HAE medications underrepresent minority patients. Hereditary angioedema remains underdiagnosed in Hispanic patients. Other than a lower prevalence of anxiety disorders among Black patients relative to White patients, the mental health impact of HAE is equally distributed across the different racial and ethnic groups.

EHR-Integrated Monitor Data to Measure Pulse Oximetry Use in Bronchiolitis.

BACKGROUND AND OBJECTIVES: Continuous pulse oximetry (oxygen saturation [Spo2]) monitoring in hospitalized children with bronchiolitis not requiring supplemental oxygen is discouraged by national guidelines, but determining monitoring status accurately requires in-person observation. Our objective was to determine if electronic health record (EHR) data can accurately estimate the extent of actual Spo2 monitoring use in bronchiolitis. METHODS: This repeated cross-sectional study included infants aged 8 weeks through 23 months hospitalized with bronchiolitis. In the validation phase at 3 children's hospitals, we calculated the test characteristics of the Spo2 monitor data streamed into the EHR each minute when monitoring was active compared with in-person observation of Spo2 monitoring use. In the application phase at 1 children's hospital, we identified periods when supplemental oxygen was administered using EHR flowsheet documentation and calculated the duration of Spo2 monitoring that occurred in the absence of supplemental oxygen. RESULTS: Among 668 infants at 3 hospitals (validation phase), EHR-integrated Spo2 data from the same minute as in-person observation had a sensitivity of 90%, specificity of 98%, positive predictive value of 88%, and negative predictive value of 98% for actual Spo2 monitoring use. Using EHR-integrated data in a sample of 317 infants at 1 hospital (application phase), infants were monitored in the absence of oxygen supplementation for a median 4.1 hours (interquartile range 1.4-9.4 hours). Those who received supplemental oxygen experienced a median 5.6 hours (interquartile range 3.0-10.6 hours) of monitoring after oxygen was stopped. CONCLUSIONS: EHR-integrated monitor data are a valid measure of actual Spo2 monitoring use that may help hospitals more efficiently identify opportunities to deimplement guideline-inconsistent use.

Physiologic Monitor Alarm Burden and Nurses' Subjective Workload in a Children's Hospital.

BACKGROUND AND OBJECTIVES: Physiologic monitor alarms occur at high rates in children's hospitals; ≤1% are actionable. The burden of alarms has implications for patient safety and is challenging to measure directly. Nurse workload, measured by using a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) validated among nurses, is a useful indicator of work burden that has been associated with patient outcomes. A recent study revealed that 5-point increases in the NASA-TLX score were associated with a 22% increased risk in missed nursing care. Our objective was to measure the relationship between alarm count and nurse workload by using the NASA-TLX. METHODS: We conducted a repeated cross-sectional study of pediatric nurses in a tertiary care children's hospital to measure the association between NASA-TLX workload evaluations (using the nurse-validated scale) and alarm count in the 2 hours preceding NASA-TLX administration. Using a multivariable mixed-effects regression accounting for nurse-level clustering, we modeled the adjusted association of alarm count with workload. RESULTS: The NASA-TLX score was assessed in 26 nurses during 394 nursing shifts over a 2-month period. In adjusted regression models, experiencing >40 alarms in the preceding 2 hours was associated with a 5.5 point increase (95% confidence interval 5.2 to 5.7; P < .001) in subjective workload. CONCLUSION: Alarm count in the preceding 2 hours is associated with a significant increase in subjective nurse workload that exceeds the threshold associated with increased risk of missed nursing care and potential patient harm.