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.

Paediatric tele-emergency care: A study of two delivery models.

INTRODUCTION: Tele-emergency models have been utilized for decades, with growing evidence of their effectiveness. Due to the variety of tele-emergency department (tele-ED) models used in practice, however, it is challenging to build standardized metrics for ongoing evaluation. This study describes two tele-ED programs, one specialized and one general, that provide care to paediatric populations. Through an examination of model structures and patient populations, we gain insight into how evaluative measures should reflect tele-ED model design and purpose. METHODS: Qualitative descriptions of the two tele-ED models are presented. We show a retrospective cohort analysis describing paediatric patients' key characteristics, reasons for visit, and disposition status by case/control status. Case/control patient encounter data were collected October 2015 through December 2017, from 15 spoke hospitals within each tele-ED program. RESULTS: The two tele-ED models serve distinct paediatric populations, and measures of tele-ED utilization and disposition reflect those differences. In the specialized University of California (UC) Davis Health program, tele-ED was utilized in 36% of paediatric critical care encounters and 78% of those were transferred. In the Avera eCARE program, tele-ED was activated in 1.7% of paediatric encounters and 50.6% of those were transferred. When Avera eCARE paediatric encounters were stratified by severity, measures of tele-ED use and disposition status among high-severity encounters were more similar to UC Davis Health. DISCUSSION: This study describes how design choices of tele-ED models have implications for evaluative measures. Measures of tele-ED model success need to reflect model purpose, populations served, and for whom tele-ED service use is appropriate.

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.

Appointment completion in pediatric neurology telemedicine clinics serving underserved patients.

BACKGROUND: To determine whether telemedicine improves access to outpatient neurology care for underserved patients, we compared appointment completion between urban, in-person clinics and telemedicine clinics held in rural and underserved communities where neurology consultations are provided remotely. METHODS: In this retrospective study, we identified patients scheduled for outpatient care from UCDH pediatric neurologists between January 1, 2009, and July 31, 2017, in person and by telemedicine. Demographic and clinical variables were abstracted from electronic medical records. We evaluated the association between consultation modality and visit completion in overall and matched samples using hierarchical multivariable logistic regression. RESULTS: We analyzed 13,311 in-person appointments by 3,831 patients and 1,158 telemedicine appointments by 381 patients. The average travel time to the site of care was 45.8 ± 52.1 minutes for the in-person cohort and 22.3 ± 22.7 minutes for the telemedicine cohort. Telemedicine sites were located at an average travel time of 217.1 ± 114.8 minutes from UCDH. Telemedicine patients were more likely to have nonprivate insurance, lower education, and lower household income. They had different diagnoses and fewer complex chronic conditions. Telemedicine visits were more likely to be completed than either "cancelled" or missed ("no show") compared with in-person visits (OR 1.57, 95% CI: 1.34-1.83; OR 1.66, 95% CI: 1.31-2.10 matched on travel time to the site of care; OR 2.22, 95% CI: 1.66-2.98 matched on travel time to UCDH). CONCLUSIONS: The use of telemedicine for outpatient pediatric neurology visits has high odds of completion and can serve as an equal adjunct to in-person clinic visits.

Hospital Utilization Among Rural Children Served by Pediatric Neurology Telemedicine Clinics.

Importance: Telemedicine is increasingly used to provide outpatient pediatric neurology consultations in underserved communities. Although telemedicine clinics have been shown to improve access, little is known about how they alter patients' utilization of hospital services. Objective: To evaluate the association between access to telemedicine clinics and hospital utilization among underserved children with neurologic conditions. Design, Setting, and Participants: This retrospective cross-sectional study included 4169 patients who received outpatient care from pediatric neurologists affiliated with an academic children's hospital in California between January 1, 2009, and July 31, 2017, either in person or using telemedicine. Exposures: Consultation modality (telemedicine or in person) in the outpatient neurology clinics. Main Outcomes and Measures: Demographic and clinical variables were abstracted from the hospital's electronic medical records. The association between the modality of outpatient neurology care and patients' utilization of the emergency department and hospitalizations was evaluated. Both all-cause and neurologic condition-related hospital utilization were analyzed using multivariable negative binomial regression in overall and matched samples. Results: The telemedicine cohort comprised 378 patients (211 [55.8%] male), and the in-person cohort comprised 3791 patients (2090 [55.1%] male). The mean (SD) age at the first encounter was 7.4 (5.4) years for the telemedicine cohort and 7.8 (5.1) years for the in-person cohort. The telemedicine cohort was more likely than the in-person cohort to have nonprivate insurance (public insurance, self-pay, or uninsured), lower education, and lower household income. The rates of all-cause and neurologic hospital encounters were lower among children who received pediatric neurology consultations over telemedicine compared with children who received care in the in-person clinics (5.7 [95% CI, 3.5-8.0] vs 20.1 [95% CI, 18.1-22.1] per 100 patient-years and 3.7 [95% CI, 2.0-5.3] vs 8.9 [95% CI, 7.8-10.0] per 100 patient-years, respectively; P < .001). Even after adjusting for demographic and clinical factors, the telemedicine cohort had a lower risk of hospital encounters (emergency department visits and admissions) with an adjusted incidence rate ratio of 0.57 (95% CI, 0.38-0.88) for all-cause encounters and an adjusted incidence rate ratio of 0.60 (95% CI, 0.36-0.99) for neurologic encounters. After matching on travel time to the neurology clinic, the adjusted incidence rate ratio was 0.19 (95% CI, 0.04-0.83) for all-cause admissions and 0.14 (95% CI, 0.02-0.82) for neurologic admissions. Conclusions and Relevance: Pediatric neurology care through real-time, audiovisual telemedicine consultations was associated with lower hospital utilization compared with in-person consultations, suggesting that high-cost hospital encounters can be prevented by improving subspecialty access.

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.

Geospatial Information System Analysis of Healthcare Need and Telemedicine Delivery in California.

BACKGROUND: Geospatial Information Systems (GIS) superimpose data on geographical maps to provide visual representations of data by region. Few studies have used GIS data to investigate if telemedicine services are preferentially provided to communities of greatest need. INTRODUCTION: This study compared the healthcare needs of communities with and without telemedicine services from a university-based telemedicine program. METHODS: Originating sites for all telemedicine consultations between July 1996 and December 2013 were geocoded using ArcGIS software. ZIP Code Tabulation Areas (ZCTAs) were extracted from the 2010 U.S. Census Bureau's Topologically Integrated Geographic Encoding and Referencing file and assigned a community needs index (CNI) score to reflect the ZCTA community's healthcare needs based on evidence-based barriers to healthcare access. CNI scores were compared across communities with and without active telemedicine services. RESULTS: One hundred ninety-four originating telemedicine clinic sites in California were evaluated. The mean CNI score for ZCTAs with at least one telemedicine clinic was significantly higher (3.32 ± 0.84) than those without a telemedicine site (2.95 ± 0.99) and higher than the mean ZCTAs for all of California (2.99 ± 1.01). Of the 194 telemedicine clinics, 71.4% were located in communities with above average need and 33.2% were located in communities with very high needs. DISCUSSION: Originating sites receiving telemedicine services from a university-based telemedicine program were located in regions with significantly higher community healthcare needs. Leveraging a geospatial information system to understand community healthcare needs provides an opportunity for payers, hospitals, and patients to be strategic in the allocation of telemedicine services.

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.