Adapting telehealth to address health equity: Perspectives of primary care providers across the United States.

BACKGROUND: Telehealth has the potential to increase access to care for medically underserved patients. This qualitative study aimed to identify telecare practices used during the COVID-19 pandemic to meet the needs of patients experiencing homelessness, patients with disabilities, and patients with language preference other than English (LOE). METHODS: We conducted a secondary qualitative data analysis of 47 clinician interviews at Federally Qualified Health Centers (FQHCs) around the country. Using thematic analysis, transcripts were coded by line-by-line by five qualitative researchers. A multidisciplinary team of telehealth experts, researchers and primary care clinicians reviewed memos and excerpts to generate major themes. RESULTS: We identified six main areas demonstrating how community providers developed strategies or practices to improve access to care for vulnerable patients: reaching patients experiencing homelessness, serving deaf and hard of hearing patients, improving access for patients with disabilities, serving patients with LOE, improving access for mental and behavioral health services, and educating patients about telehealth. During the pandemic, FQHCs developed innovative solutions to provide access to care for the unhoused, including using telehealth in shelters, vans, and distributing devices like mobile phones and tablets. Telehealth reduced transportation burdens for patients with disabilities and reduced no-show rates for mental health services by adapting group therapy via telehealth features (like break-out rooms) and increasing provider capacity. CONCLUSION: Our study identified strategies adopted by FQHCs to serve underserved populations during the COVID-19 pandemic. Our findings highlight the need for enduring strategies to improve health equity through telehealth..

Comparison of Telehealth and In-Person Behavioral Health Services and Payment in a Large Rural Multisite Usual Care Study.

Background: Telehealth and in-person behavioral health services have previously shown equal effectiveness, but cost studies have largely been limited to travel savings for telehealth cohorts. The purpose of this analysis was to compare telehealth and in-person cohorts, who received behavioral health services in a large multisite study of usual care treatment approaches to examine relative value units (RVUs) and payment. Methods: We used current procedural terminology codes for each encounter to identify RVUs and Medicare payment rates. Mixed linear regression models compared telehealth and in-person cohorts on RVUs, per-encounter payment rates, and total-episode payment rates. Results: We found the behavioral health services provided by telehealth to have modest, but statistically significantly lower RVUs (i.e., less provider work in time spent and case complexity), per-encounter payments, and total episode payments than the in-person cohort. Despite Medicare rates discounting payments for nonphysician providers and the in-person cohort using clinical social workers more frequently, the services provided by the telehealth cohort still had lower payments. Thus, the differences observed are due to the in-person cohort receiving higher payment RVU services than the telehealth cohort, which was more likely to receive briefer therapy sessions and other less expensive services. Conclusions: Behavioral health services provided by telehealth used services with lower RVUs than behavioral health services provided in-person, on average, even after adjusting for patient demographics and diagnosis. Observed differences in Medicare payments resulted from the provider type and services used by the two cohorts; thus, costs and insurance reimbursements may vary for others.

Patient Satisfaction with Care Providers During the COVID-19 Pandemic: An Analysis of Consumer Assessment of Healthcare Providers and Systems Survey Scores for In-Person and Telehealth Encounters at an Academic Medical Center.

Background: Previous research has demonstrated high patient satisfaction with telehealth encounters. The objective of this study was to compare patient satisfaction scores regarding their physician using the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) surveys between in-person and telehealth outpatient encounters during the pandemic at a large academic health center. Methods: We analyzed CAHPS patient satisfaction survey data within the UC Davis Health system between August 2020 and February 2022. The questions analyzed pertained to patients' satisfaction with their care provider; whether they felt included in discussions, would recommend their physician, received clear explanations, and that their concerns were heard. Using logistic regression models adjusting for confounders, we compared CAHPS care provider top box scores-a score of 4 or 5 on the 5-point scale-for 5 survey items. Results: Survey results from 76,687 (84.2%) in-person encounters and 14,404 (15.8%) telehealth encounters were evaluated. The odds of a telehealth patient giving a top box score for whether they would recommend their care provider to others were 0.97 those of an in-person patient (95% confidence interval [0.87-1.06]; p = 0.494). Similarly, there was no significant difference in odds of giving a top box score between telehealth and in-person patients for the other four questions analyzed. Discussion: Our findings indicate that patient experience and care provider rankings for in-person care and telehealth care are comparable across a variety of specialties and conditions at a large academic health center. Future studies should investigate patient satisfaction with in-person and telehealth encounters by diagnosis and specialty.

Telehealth: Opportunities to Improve Access, Quality, and Cost in Pediatric Care.

The use of telehealth technology to connect with patients has expanded significantly over the past several years, particularly in response to the global coronavirus disease 2019 pandemic. This technical report describes the present state of telehealth and its current and potential applications. Telehealth has the potential to transform the way care is delivered to pediatric patients, expanding access to pediatric care across geographic distances, leveraging the pediatric workforce for care delivery, and improving disparities in access to care. However, implementation will require significant efforts to address the digital divide to ensure that telehealth does not inadvertently exacerbate inequities in care. The medical home model will continue to evolve to use telehealth to provide high-quality care for children, particularly for children and youth with special health care needs, in accordance with current and evolving quality standards. Research and metric development are critical for the development of evidence-based best practices and policies in these new models of care. Finally, as pediatric care transitions from traditional fee-for-service payment to alternative payment methods, telehealth offers unique opportunities to establish value-based population health models that are financed in a sustainable manner.

Economic Evaluation of Telemedicine Consultations to Reduce Unnecessary Neonatal Care Transfers.

OBJECTIVES: To perform an economic evaluation to estimate the return on investment (ROI) of making available telemedicine consultations from a healthcare payer perspective, and to estimate the economic impacts of telemedicine under a hypothetical scenario in which all rural hospitals providing level I neonatal care in California had access to telemedicine consultations from neonatologists at level III and level IV neonatal intensive care units (NICUs). STUDY DESIGN: We developed standard decision models with assumptions derived from primary data and the literature. Telemedicine costs included equipment installation and operation costs. Probabilistic analysis with Monte Carlo simulation was performed to address model uncertainties and to estimate 95% probabilistic confidence intervals (PCIs). All costs were adjusted to 2017 US dollars using the Consumer Price Index. RESULTS: Our probabilistic analysis estimated the ROI to have a mean value of 2.23 (95% PCI, -0.7 to 6.0). That is, a $1 investment in this telemedicine model would yield a net medical expenditure saving of $1.23. "Cost saving" was observed for 75% of the hypothetical 1000 Monte Carlo simulations. For the state of California, the estimated mean annual net savings was $661 000. CONCLUSIONS: Providing telemedicine and making available consultations to rural hospitals providing level I neonatal care are likely to reduce medical expenditures by reducing potentially avoidable transfers of newborns to level III and IV NICUs, offsetting all telemedicine-related costs.

Parent Experience and Cost Savings Associated With a Novel Tele-physiatry Program for Children Living in Rural and Underserved Communities.

OBJECTIVE: The aim of this study was to investigate parent and therapist experience and cost savings from the payer perspective associated with a novel tele-physiatry program for children living in rural and underserved communities. DESIGN: We designed a noninferiority, cluster-randomized crossover study at 4 school-based clinics to evaluate parent experience and perceived quality of care between a telemedicine-based approach in which the physiatrist conducts the visit remotely with an in-person therapist and a traditional in-person physiatrist clinic. SETTING: Four school-based clinics in Northern California. PARTICIPANTS: A total of 268 encounters (124 telemedicine and 144 in-person) were completed by 200 unique patients (N=200). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Parent and therapist experience scores. RESULTS: For parents and therapists, experience and perceived quality of care were high with no significant differences between telemedicine and in-person encounters. For parents whose children received a telemedicine encounter, 40 (54.8%) reported no preference for their child's subsequent encounter, 21 (28.8%) preferred a physiatrist telemedicine visit, and 12 (16.4%) preferred a physiatrist in-person visit. From the payer perspective, costs were $100 higher for in-person clinics owing to physician mileage reimbursement. CONCLUSIONS: We found that school-based tele-physiatry for children with special health care needs is not inferior to in-person encounters with regard to parent and provider experience and perceived quality of care. Tele-physiatry was also associated with an average cost savings of $100 per clinic to the payer.

Telehealth: Improving Access to and Quality of Pediatric Health Care.

All children and adolescents deserve access to quality health care regardless of their race/ethnicity, health conditions, financial resources, or geographic location. Despite improvements over the past decades, severe disparities in the availability and access to high-quality health care for children and adolescents continue to exist throughout the United States. Economic and racial factors, geographic maldistribution of primary care pediatricians, and limited availability of pediatric medical subspecialists and pediatric surgical specialists all contribute to inequitable access to pediatric care. Robust, comprehensive telehealth coverage is critical to improving pediatric access and quality of care and services, particularly for under-resourced populations.

Association Between Insurance and the Transfer of Children With Mental Health Emergencies.

OBJECTIVES: This study sought to investigate the association between a patient's insurance coverage and a hospital's decision to admit or transfer pediatric patients presenting to the emergency department (ED) with a mental health disorder. METHODS: This is a cross-sectional study of pediatric mental health ED admission and transfer events using the Healthcare Cost and Utilization Project 2014 Nationwide Emergency Department Sample. Children presenting to an ED with a primary mental health disorder who were either admitted locally or transferred to another hospital were included. Multivariable logistic regression models were used to adjust for confounders. RESULTS: Nineteem thousand eighty-one acute mental health ED events among children were included in the analyses. The odds of transfer relative to admission were higher for children without insurance (odds ratio, 3.30; 95% confidence interval, 1.73-6.31) compared with patients with private insurance. The odds of transfer were similar for children with Medicaid compared with children with private insurance (odds ratio, 1.23; 95% confidence interval, 0.80-1.88). Transfer rates also varied across mental health diagnostic categories. Patients without insurance had higher odds of transfer compared with those with private insurance when they presented with depressive disorder, bipolar disorder, attention-deficit/conduct disorders, and schizophrenia. CONCLUSIONS: Children presenting to an ED with a mental health emergency who do not have insurance are more likely to be transferred to another hospital than to be admitted and treated locally compared with those with private insurance. Future studies are needed to determine factors that may protect patients without insurance from disparities in access to care.

Travel, Time, and Cost Savings Associated with a University Medical Center's Video Medical Interpreting Program.

Background: Patients with limited English proficiency experience disparities in health care access, quality, costs, and outcomes. Providing qualified medical interpreting services (MIS) in the health care setting can reduce these disparities. Unfortunately, health organizations face logistical and financial difficulties in meeting the need for qualified medical interpreters. Introduction: This descriptive review evaluated travel, time, and cost savings associated with video interpreting services compared to traditional in-person services. Materials and Methods: We conducted a retrospective review of all inpatient and outpatient medical interpreting encounters at a large academic hospital delivered through video and in person between 2006 and 2017. Outcome measures included interpreter travel distance, time, and cost for in-person encounters and savings associated with avoided travel for services provided through video. Results: We reviewed 281,701 interpreting encounters, including 249,357 in person and 32,344 by video. Video encounters occurred both for on-site and off-site visits. For on-site encounters, the use of video resulted in an average round trip walking distance saved of 0.75 miles (SD = 0.33) and an average round trip walking time saved of 14.75 min (SD = 6.30) per encounter. For off-site encounters, the use of video resulted in an average round trip driving distance saved of 8.63 miles (SD = 9.13), an average round trip driving time saved of 23.78 min (SD = 9.50), and an average round trip driving cost savings of $4.66 per encounter. Conclusions: This single institution review of the travel, time, and cost savings associated with providing MIS through video demonstrates the opportunity for more efficient use of time and resources.

Association of Insurance With Use of Emergency Medical Services Among Children.

OBJECTIVE: The use of emergency medical services (EMS) can be lifesaving for critically ill children and should be defined by the child's clinical need. Our objective was to determine whether nonclinical demographic factors and insurance status are associated with EMS use among children presenting to the emergency department (ED). METHODS: In this cross-sectional study using the National Hospital Ambulatory Medical Care Survey, we included children presenting to EDs from 2009 to 2014. We evaluated the association between EMS use and patients' insurance status using multivariable logistic regressions, adjusting for demographic, socioeconomic, and clinical factors such as illness severity as measured by a modified and recalibrated version of the Revised Pediatric Emergency Assessment Tool (mRePEAT) and the presence of comorbidities or chronic conditions. A propensity score analysis was performed to validate our findings. RESULTS: Of the estimated 191,299,454 children presenting to EDs, 11,178,576 (5.8%) arrived by EMS and 171,145,895 (89.5%) arrived by other means. Children arriving by EMS were more ill [mRePEAT score, 1.13; 95% confidence interval (CI), 1.12-1.14 vs mRePEAT score, 1.01; 95% CI: 1.01-1.02] and more likely to have a comorbidity or chronic condition (OR: 3.17, 95% CI: 2.80-3.59). In the adjusted analyses, the odds of EMS use were higher for uninsured children and lower for children with public insurance compared with children with private insurance [OR (95% CI): uninsured, 1.41 (1.12-1.78); public, 0.77 (0.65-0.90)]. The propensity score analysis showed similar results. CONCLUSIONS: In contrast to adult patients, children with public insurance are less likely to use EMS than children with private insurance, even after adjustment for illness severity and other confounders.

Telemedicine for Interfacility Nurse Handoffs.

OBJECTIVE: To compare nurse preparedness and quality of patient handoff during interfacility transfers from a pretransfer emergency department to a PICU when conducted over telemedicine versus telephone. DESIGN: Cross-sectional nurse survey linked with patient electronic medical record data using multivariable, multilevel analysis. SETTING: Tertiary PICU within an academic children's hospital. PARTICIPANTS: PICU nurses who received a patient handoff between October 2017 and July 2018. INTERVENTIONS: None. MAIN RESULTS AND MEASUREMENTS: Among 239 eligible transfers, 106 surveys were completed by 55 nurses (44% survey response rate). Telemedicine was used for 30 handoffs (28%), and telephone was used for 76 handoffs (72%). Patients were comparable with respect to age, sex, race, primary spoken language, and insurance, but handoffs conducted over telemedicine involved patients with higher illness severity as measured by the Pediatric Risk of Mortality III score (4.4 vs 1.9; p = 0.05). After adjusting for Pediatric Risk of Mortality III score, survey recall time, and residual clustering by nurse, receiving nurses reported higher preparedness (measured on a five-point adjectival scale) following telemedicine handoffs compared with telephone handoffs (3.4 vs 3.1; p = 0.02). There were no statistically significant differences in both bivariable and multivariable analyses of handoff quality as measured by the Handoff Clinical Evaluation Exercise. Handoffs using telemedicine were associated with increased number of Illness severity, Patient summary, Action list, Situation awareness and contingency planning, Synthesis by receiver components (3.3 vs 2.8; p = 0.04), but this difference was not significant in the adjusted analysis (3.1 vs 2.9; p = 0.55). CONCLUSIONS: Telemedicine is feasible for nurse-to-nurse handoffs of critically ill patients between pretransfer and receiving facilities and may be associated with increased perceived and objective nurse preparedness upon patient arrival. Additional research is needed to demonstrate that telemedicine during nurse handoffs improves communication, decreases preventable adverse events, and impacts family and provider satisfaction.

When Will Telemedicine Appear in the ICU?

As our population ages and the demand for high-level intensive care unit (ICU) services increase, the ICU physician supply continues to lag. In addition, hospitals, physician groups, and patients are demanding rapid access for the highest level of expertise in the care of critically ill patients. Telemedicine in the ICU combined with remote patient monitoring has been increasingly touted as a model of care to increase efficiencies and quality of care. Telemedicine in the ICU provides the potential to connect critically ill patients to sophisticated specialty care on a 24/7 basis, even for those hospitalized in rural locations where access to timely specialty consultations are uncommon. Research on the use of telemedicine in the ICU has suggested improved outcomes, such as reductions in mortality, reductions in length of stay, and greater adherence to evidence-based guidelines. Although the clinical footprint of telemedicine in ICU has grown over the past 20 years, there has been a relative slowing of implementation. This review examines the clinical evidence supporting the use of telemedicine in the ICU and discusses the impact on clinical efficacy and costs of care. Additionally, we review the current hurdles to more rapid adoption, including the significant financial investment, different models of care affecting the return on investment, and the varied cultural attitudes that impact the success and acceptance of care models using telemedicine in the ICU.

The Use of Telemedicine to Address Disparities in Access to Specialist Care for Neonates.

Introduction: Outcomes for premature and critically ill neonates are improved with care provided by neonatologists in a neonatal intensive care unit (NICU). For smaller hospitals, maintaining the personnel and equipment necessary for the delivery and care of unexpectedly high-risk neonates is a significant challenge. To address this disparity in access, telemedicine has been increasingly used to support providers, patients, and their families in community newborn nurseries and NICUs. The purpose of this review is to present the current state of the use of telemedicine by regional NICUs to support community newborn nurseries, NICUs, and families. Methods: A literature review was conducted by two independent reviewers. Articles were selected for inclusion if they described the use of telemedicine with neonates or in the NICU. Two reviewers assessed the quality of the articles using the National Heart, Lung, and Blood Institute Study Quality Assessment Tools. Results: Fourteen articles were identified. After consensus discussion, eight of the articles were rated good and six were rated fair by the two reviewers. Many of the articles suggested improvements in quality of care, family satisfaction, and reductions in the cost of care. Unfortunately, a majority of the studies to date have had small sample sizes or were performed in a single institution and lacked robust evaluations of patient- and family-centered outcomes and provider decision making. Conclusions: While these early studies are promising, more robust studies involving more patients and more institutions are needed to identify opportunities where telemedicine can impact health outcomes, patient-centeredness, or costs of care of neonates.

Selected Use of Telemedicine in Intensive Care Units Based on Severity of Illness Improves Cost-Effectiveness.

BACKGROUND: Telemedicine in the intensive care unit (tele-ICU) is expected to address geographic health disparities through more efficient resource allocation. Our previous economic evaluation demonstrated tele-ICU to be cost-effective in most cases and cost saving in some cases, compared to conventional intensive care unit (ICU) care without adequate intensivist coverage. INTRODUCTION: This study's objective is to examine how to optimize the cost-effectiveness of tele-ICU use by selecting highest risk (i.e., both highest mortality and highest cost) subpopulations. We also explore potential cost savings. MATERIALS AND METHODS: We conducted simulation analyses among a hypothetical adult ICU patient cohort defined by the literature, distinguishing four types of hospitals: urban tertiary (primary analysis), urban community, rural tertiary, and rural community. The selected tele-ICU use was assumed to affect per-patient ICU cost and hospital mortality among highest risk subpopulations (10-100% of all ICU patients), defined by an established illness-severity measure. RESULTS: We found a U-shaped relationship between the economic efficiency and selected tele-ICU use among all 4 hospital types. Optimal cost-effectiveness was achieved when tele-ICU was applied to the 30-40% highest risk patients among all ICU patients (incremental cost-effectiveness ratio = $25,392 [2014 U.S. dollars] per extending a quality-adjusted life year) in urban tertiary hospitals (primary analysis). Our break-even analyses indicated that cost saving seems more feasible when reducing ICU medical care cost, rather than lowering the cost to operate telemedicine alone. DISCUSSION AND CONCLUSIONS: A selected use of tele-ICU based on severity of illness is likely to improve tele-ICU cost-effectiveness. To achieve cost saving, tele-ICU must reduce more than just telemedicine-related cost.

Implicit Review Instrument to Evaluate Quality of Care Delivered by Physicians to Children in Emergency Departments.

OBJECTIVE: To evaluate the consistency, reliability, and validity of an implicit review instrument that measures the quality of care provided to children in the emergency department (ED). DATA SOURCES/STUDY SETTING: Medical records of randomly selected children from 12 EDs in the Pediatric Emergency Care Applied Research Network (PECARN). STUDY DESIGN: Eight pediatric emergency medicine physicians applied the instrument to 620 medical records. DATA COLLECTION/EXTRACTION METHODS: We determined internal consistency using Cronbach's alpha and inter-rater reliability using the intraclass correlation coefficient (ICC). We evaluated the validity of the instrument by correlating scores with four condition-specific explicit review instruments. PRINCIPAL FINDINGS: Individual reviewers' Cronbach's alpha had a mean of 0.85 with a range of 0.76-0.97; overall Cronbach's alpha was 0.90. The ICC was 0.49 for the summary score with a range from 0.40 to 0.46. Correlations between the quality of care score and the four condition-specific explicit review scores ranged from 0.24 to 0.38. CONCLUSIONS: The quality of care instrument demonstrated good internal consistency, moderate inter-rater reliability, high inter-rater agreement, and evidence supporting validity. The instrument could be useful for systems' assessment and research in evaluating the care delivered to children in the ED.

Patient-level Factors and the Quality of Care Delivered in Pediatric Emergency Departments.

OBJECTIVE: Quality of care delivered to adult patients in the emergency department (ED) is often associated with demographic and clinical factors such as a patient's race/ethnicity and insurance status. We sought to determine whether the quality of care delivered to children in the ED was associated with a variety of patient-level factors. METHODS: This was a retrospective, observational cohort study. Pediatric patients (<18 years) who received care between January 2011 and December 2011 at one of 12 EDs participating in the Pediatric Emergency Care Applied Research Network (PECARN) were included. We analyzed demographic factors (including age, sex, and payment source) and clinical factors (including triage, chief complaint, and severity of illness). We measured quality of care using a previously validated implicit review instrument using chart review with a summary score that ranged from 5 to 35. We examined associations between demographic and clinical factors and quality of care using a hierarchical multivariable linear regression model with hospital site as a random effect. RESULTS: In the multivariable model, among the 620 ED encounters reviewed, we did not find any association between patient age, sex, race/ethnicity, and payment source and the quality of care delivered. However, we did find that some chief complaint categories were significantly associated with lower than average quality of care, including fever (-0.65 points in quality, 95% confidence interval [CI] = -1.24 to -0.06) and upper respiratory symptoms (-0.68 points in quality, 95% CI = -1.30 to -0.07). CONCLUSION: We found that quality of ED care delivered to children among a cohort of 12 EDs participating in the PECARN was high and did not differ by patient age, sex, race/ethnicity, and payment source, but did vary by the presenting chief complaint.

Association Between Insurance and Transfer of Injured Children From Emergency Departments.

OBJECTIVES: To determine if injured children presenting to nondesignated trauma centers are more or less likely to be transferred relative to being admitted based on insurance status. METHODS: We conducted a cross-sectional study by using the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Pediatric trauma patients receiving care in emergency departments (EDs) at nontrauma centers who were either admitted locally or transferred to another hospital were included. We performed logistic regression analysis adjusting for injury severity and other confounders and incorporated nationally representative weights to determine the association between insurance and transfer or admission. RESULTS: Nine thousand four hundred and sixty-one ED pediatric trauma events at 386 nontrauma centers met inclusion criteria. EDs that treated a higher proportion of patients with Medicaid had higher odds of transfer relative to admission (odds ratio [OR]: 1.2 per 10% increase in Medicaid; 95% confidence interval [CI]: 1.1-1.4), resulting in overall higher odds of transfer among patients with Medicaid compared with patients with private insurance (OR: 1.3; 95% CI: 1.0-1.5). A patient's insurance status was not associated with different odds of transfer relative to admission within individual EDs after adjusting for the ED's proportion of patients with Medicaid (Medicaid OR: 1.0; 95% CI: 0.8-1.1). CONCLUSIONS: Injured pediatric patients presenting to nondesignated trauma centers are slightly more likely to be transferred than admitted when the ED treats a higher proportion of Medicaid patients. In this study, ongoing concerns about inequities in the delivery of care among hospitals treating high proportions of children with Medicaid are reinforced.

Impact of a University-Based Outpatient Telemedicine Program on Time Savings, Travel Costs, and Environmental Pollutants.

OBJECTIVE: The objective of this study was to estimate travel-related and environmental savings resulting from the use of telemedicine for outpatient specialty consultations with a university telemedicine program. METHODS: The study was designed to retrospectively analyze the telemedicine consultation database at the University of California Davis Health System (UCDHS) between July 1996 and December 2013. Travel distances and travel times were calculated between the patient home, the telemedicine clinic, and the UCDHS in-person clinic. Travel cost savings and environmental impact were calculated by determining differences in mileage reimbursement rate and emissions between those incurred in attending telemedicine appointments and those that would have been incurred if a visit to the hub site had been necessary. RESULTS: There were 19,246 consultations identified among 11,281 unique patients. Telemedicine visits resulted in a total travel distance savings of 5,345,602 miles, a total travel time savings of 4,708,891 minutes or 8.96 years, and a total direct travel cost savings of $2,882,056. The mean per-consultation round-trip distance savings were 278 miles, average travel time savings were 245 minutes, and average cost savings were $156. Telemedicine consultations resulted in a total emissions savings of 1969 metric tons of CO2, 50 metric tons of CO, 3.7 metric tons of NOx, and 5.5 metric tons of volatile organic compounds. CONCLUSIONS: This study demonstrates the positive impact of a health system's outpatient telemedicine program on patient travel time, patient travel costs, and environmental pollutants.

The Association Between Insurance and Transfer of Noninjured Children From Emergency Departments.

STUDY OBJECTIVE: Among children requiring hospital admission or transfer, we seek to determine whether insurance is associated with the decision to either admit locally or transfer to another hospital. METHODS: This cross-sectional study used Healthcare Cost and Utilization Project 2012 Nationwide Emergency Department Sample. Pediatric patients receiving care in emergency departments (EDs) who were either admitted or transferred were included. Clinical Classifications Software was used to categorize patients into noninjury diagnostic cohorts. Multivariable logistic regression models adjusting for potential confounders, including severity of illness and comorbidities, and incorporating nationally representative weights were used to determine the association between insurance and the odds of transfer relative to admission. RESULTS: A total of 240,620 noninjury pediatric ED events met inclusion criteria. Patient and hospital characteristics, including older age and nonteaching hospitals, were associated with greater odds of transfer relative to admission. Patients who were uninsured or had self-pay had higher odds of transfer (odds ratio [OR] 3.84; 95% confidence interval [CI] 2.08 to 7.09) relative to admission compared with those with private insurance. Uninsured and self-pay patients also had higher odds of transfer across all 13 diagnostic categories, with ORs ranging from 2.96 to 12.00. Patients with Medicaid (OR 1.05; 95% CI 0.90 to 1.22) and other insurances (OR 1.14; 95% CI 0.87 to 1.48) had similar odds of transfer compared with patients with private insurance. CONCLUSION: Children without insurance and those considered as having self-pay are more likely to be transferred to another hospital than to be admitted for inpatient care within the same receiving hospital compared with children with private insurance. This study reinforces ongoing concerns about disparities in the provision of pediatric ED and inpatient care.

Impact of Telemedicine on Severity of Illness and Outcomes Among Children Transferred From Referring Emergency Departments to a Children's Hospital PICU.

OBJECTIVES: To compare the severity of illness and outcomes among children admitted to a children's hospital PICU from referring emergency departments with and without access to a pediatric critical care telemedicine program. DESIGN: Retrospective cohort study. SETTING: Tertiary academic children's hospital PICU. PATIENTS: Pediatric patients admitted directly to the PICU from referring emergency departments between 2010 and 2014. INTERVENTIONS: None. MEASUREMENTS: Demographic factors, severity of illness, and clinical outcomes among children receiving care in emergency departments with and without access to pediatric telemedicine, as well as a subcohort of children admitted from emergency departments before and after the implementation of telemedicine. MAIN RESULTS: Five hundred eighty-two patients from 15 emergency departments with telemedicine and 524 patients from 60 emergency departments without telemedicine were transferred and admitted to the PICU. Children admitted from emergency departments using telemedicine were younger (5.6 vs 6.9 yr; p< 0.001) and less sick (Pediatric Risk of Mortality III score, 3.2 vs 4.0; p < 0.05) at admission to the PICU compared with children admitted from emergency departments without telemedicine. Among transfers from emergency departments that established telemedicine programs during the study period, children arrived significantly less sick (mean Pediatric Risk of Mortality III scores, 1.2 units lower; p = 0.03) after the implementation of telemedicine (n = 43) than before the implementation of telemedicine (n = 95). The observed-to-expected mortality ratios of posttelemedicine, pretelemedicine, and no-telemedicine cohorts were 0.81 (95% CI, 0.53-1.09), 1.07 (95% CI, 0.53-1.60), and 1.02 (95% CI, 0.71-1.33), respectively. CONCLUSIONS: The implementation of a telemedicine program designed to assist in the care of seriously ill children receiving care in referring emergency departments was associated with lower illness severity at admission to the PICU. This study contributes to the body of evidence that pediatric critical care telemedicine programs assist referring emergency departments in the care of critically ill children and could result in improved clinical outcomes.