Vision challenges are among the most prevalent disabling conditions in childhood, affecting up to 28% of school-age children. These issues can impact the development, learning, and literacy skills of affected children. While vision problems are correctable with timely diagnosis and treatment, insufficient networks can impede children's access to comprehensive, and high-quality care.

The study aims to determine where pediatric vision care network adequacy exists in the state of Arizona and where there are gaps in receiving vision care for children.

This cross-sectional study assessed the adequacy of pediatric vision care networks in Arizona through a "secret shopper" phone survey. Calls were made to practices that accept Arizona's Medicaid program, Arizona Health Care Cost Containment System (AHCCCS) and/or commercial insurance. Providers were contacted following a standardized script to schedule routine appointments on behalf of 10 and 3-year-old patients enrolled in either Medicaid or commercial health insurance plans. The study examined various components of children's access to vision care services, including the reliability of provider directory information, time until the next available appointment, bilingual service offerings, ages served, region of practice and types of care available.

A total of 556 practices in Arizona were evaluated through simulations as patients on AHCCCS, and 510 practices were assessed through simulations as patients with commercial health insurance plans. The average wait time for the next available appointment was 13 days for both insurance types. Alarmingly, up to 74% of vision care practices in Arizona do not serve children covered by AHCCCS. Furthermore, only 41% provide services to children 5 years and younger.

Our findings underscore the need to improve access to vision care services for children in Arizona, especially racial/ethnic minorities, low-income groups, and rural residents.

Commercial health plans establish networks and require much higher cost sharing for out-of-network (OON) care. Yet, the adequacy of health plan networks for access to pediatric specialists, especially for children with medical complexity, is largely unknown.

To examine differences in OON care and associated cost-sharing payments for commercially insured children with different levels of medical complexity.

Cross-sectional study using a nationwide commercial claims database.

Enrollees 0-18 years old in employer-sponsored insurance plans. The Pediatric Medical Complexity Algorithm was used to classify individuals into 3 levels of medical complexity: children with no chronic disease, children with non-complex chronic diseases, and children with complex chronic diseases.

OON care rates, cost-sharing payments for OON care and in-network care, OON cost sharing as a proportion of total health care spending, and OON cost sharing as a proportion of total cost sharing.

The study sample included 6,399,006 individuals with no chronic disease, 1,674,450 with noncomplex chronic diseases, and 603,237 with complex chronic diseases. Children with noncomplex chronic diseases were more likely to encounter OON care by 6.77 percentage points with higher cost-sharing by $288 for OON care, relative to those with no chronic disease. For those with complex chronic diseases, these differences rose to 16.08 percentage points and $599, respectively. Among children who saw behavioral health providers, rates of OON care were especially high.

Commercially insured children with medical complexity experience higher rates of OON care with higher OON cost-sharing payments compared with those with no chronic disease.

In 2015, the American College of Surgeons began its Children's Surgery Verification Quality Improvement Program, promulgating standards intended to promote regionalization and improve pediatric surgical care. It was hypothesized that pediatric surgical care was already highly regionalized and concentrated before implementation of the program. This study aimed to demonstrate this by describing the sites and volume of nonambulatory pediatric surgery.

A two-part, retrospective, cross-sectional analysis was performed. First, six all-encounter state inpatient data sets (Arkansas, Florida, Kentucky, Maryland, and New York from the Healthcare Cost and Utilization Project and Massachusetts from the Center for Health Information) were used to evaluate all procedures performed within specific hospitals in 2014. Next, a national sample data set (2016 Kids' Inpatient Database) was used to determine the generalizability of the single state results. All acute care hospital admissions for patients less than 18 yr of age were included to describe the nature and location of all surgical procedures therein by patient age, surgical specialty, procedure type, and hospital service breadth.

Within the six study states, there were 713 hospitals, of which 635 (89.1%) admitted patients less than 18 yr old, and 516 (72.4%) reported pediatric procedures. Among these, there were 9 specialty hospitals and 39 hospitals with services comparable to independent children's hospitals. Of 153,587 procedures among 1,065,655 pediatric admissions, 127,869 (83.3%) took place within these 48 centers. This fraction decreased with age (89.9% of patients less than 2 yr old and 68.5% of 15- to 17-yr-olds), varied slightly by specialty, and was similar across states. Outside of specialized centers, teenagers accounted for 47.4% of all procedures. Within the national data sample, the concentration was similar: 8.7% (328 of 3,777) of all hospitals admitting children were responsible for 90.1% (793,905 of 881,049) of all procedures, with little regional variation.

Before the American College of Surgeons Children's Surgery Verification Quality Improvement Program, the vast majority of pediatric nonambulatory surgeries were already confined to a small subset of high-capability and specialty centers.

The availability of pediatric hospital care for common conditions is decreasing across the US. The consequences of this decrease on access to care for specific conditions need to be evaluated.

To evaluate the degree of regionalization of pediatric seizure care in the US by characterizing the activity of hospital systems in 6 diverse states.

This retrospective cross-sectional study used inpatient and emergency department administrative data sets from all acute care hospitals in Arkansas, Florida, Kentucky, Maryland, Massachusetts, and New York from 2014. All patients younger than 18 years who visited a hospital and had a primary diagnosis of seizures were included. Data were analyzed between January and June 2019.

Characteristics of hospital encounters and pediatric Hospital Capability Index scores of transferring and admitting hospitals.

Among 57 930 encounters with pediatric patients with seizures (median [range] age, 4 [1-11] years; 31 968 [55.2%] boys) identified in 621 acute care hospitals, 15 467 patients (26.7%) were admitted as inpatients and 3748 patients (6.5%) were transferred between acute care hospitals. Among encounters that resulted in transfers between hospitals, seizure was the only diagnosis in 1554 patients (41.5%). A total of 42 463 encounters began as emergency department visits, of which 38 173 encounters (90.0%) resulted in routine discharge. While 536 hospitals (86.3%) transferred children with seizures, only 232 hospitals (37.4%) ever admitted them and only 63 hospitals (10.1%) ever received a pediatric seizure transfer. The median (interquartile range) pediatric Hospital Capability Index score of all hospitals was 0.10 (0.02-0.28), while that of hospitals occasionally admitting pediatric seizure patients was 0.34 (0.22-0.55). However, although most patients who were admitted had brief stays (ie, ≤2 days) and no comorbidities, three-quarters of all admissions (12 002 admissions [77.6%]) were to very highly capable centers (ie, hospitals with pediatric Hospital Capability Index scores >0.75). Across all states, the number of referral hospitals for pediatric seizures was less than the number of Dartmouth Atlas Hospital Referral Regions (47 referral hospitals vs 63 hospital referral regions).

These findings suggest that although children with seizures are seen in almost all acute care hospital emergency departments, most hospitals transfer children who require admission. Condition-specific interhospital dependency challenges standard definitions of network adequacy and should be accounted for in emergency medical service planning, access to care policies, and health services research.

In the Medicare Advantage (MA) program, Medicare enrollees may be steered by their health plan to specific hospitals. Little is known about the quality of hospitals that serve MA enrollees.

To compare the quality of hospitals that admit MA enrollees with the quality of those that admit traditional Medicare enrollees.

This cross-sectional study used data from the 2012 to 2016 Medicare Provider Analysis and Review to compare quality of care, as measured by the star rating given by the Centers for Medicare and Medicaid Services and readmission rates, in hospitals that serve MA enrollees and traditional Medicare enrollees using multinomial logit models. Participants were 7 130 610 Medicare beneficiaries admitted to 2994 acute care hospitals across the United States in 2016. Data were analyzed between August 2018 and August 2019.

The exposure was MA enrollment. Adjusters included demographic and clinical characteristics and zip code fixed effects.

Hospital Compare star ratings and quintiles of performance in 30-day readmission rates.

The sample included 7 130 610 Medicare beneficiaries in 2016 (54.3% female; mean [SD] age, 72.7 [13.2] years). Of 12 190 270 total hospitalizations, 1 211 293 traditional Medicare and 494 352 MA patients were admitted to 718 low-readmission hospitals and 1 205 586 traditional Medicare and 526 955 MA patients were admitted to 597 high-readmission hospitals. Accounting for observed patient characteristics, MA enrollees less often entered either low- or high-quality hospitals and were more often admitted to average-quality hospitals. For nonemergent hospitalizations, MA enrollees were 1.9 percentage points (95% CI, 1.5-2.2 percentage points) less likely to enter a low-readmissions hospital, 5.1 percentage points (95% CI, 4.6-5.6 percentage points) more likely to enter an average-readmissions hospital, and 3.2 percentage points (95% CI, 2.9-3.5 percentage points) less likely to enter a high-readmissions hospital compared with traditional Medicare enrollees. Patients with MA were also 2.6 percentage points (95% CI, 2.2-2.9 percentage points) less likely to enter a 1- to 2-star hospital, 5.5 percentage points (95% CI, 4.9-5.9 percentage points) more likely to enter a 3-star hospital, and 2.8 percentage points (95% CI, 2.5-3.2 percentage points) less likely to enter a 4- to 5-star hospital compared with traditional Medicare enrollees. The differences were less pronounced for emergency admissions.

This study found that enrollees in MA plans were more likely to be admitted to average-quality hospitals instead of either high- or low-quality hospitals, suggesting that MA plans may be steering their enrollees to specific hospitals.

We aimed to design a graphical tool for understanding and effectively communicating the complex differences between pediatric and adult hospital care systems.

We analyzed the most recent hospital administrative data sets for inpatient admission and emergency department visits from 7 US states (2014: Arkansas, Florida, Kentucky, Maryland, Massachusetts, and New York; 2011: California). Probabilities of care completion (Pcc) were calculated for pediatric (<18 years old) and adult conditions in all acute-care hospitals in each state. Using the Pcc, we constructed interactive heatmap visualizations for direct comparison of pediatric and adult hospital care systems.

On average, across the 7 states, 70.6% of all hospitals had Pcc >0.5 for more than half of all adult conditions, whereas <14.9% of hospitals had Pcc >0.1 for half of pediatric conditions. Visualizations revealed wide variation among states with clearly apparent institutional dependencies and condition-specific gaps (full interactive versions are available at https://goo.gl/5t8vAw).

The functional disparities between pediatric and adult hospital care systems are substantial, and condition-specific differences should be considered in reimbursement strategies, disaster planning, network adequacy determinations, and public health planning.