Race, Ethnicity, and Intensive Care Utilization for Common Pediatric Diagnoses: U.S. Pediatric Health Information System 2019 Database Study.

OBJECTIVES: Racial and ethnic disparities in healthcare delivery for acutely ill children are pervasive in the United States; it is unknown whether differential critical care utilization exists. DESIGN: Retrospective study of the Pediatric Health Information System (PHIS) database. SETTING: Multicenter database of academic children's hospitals in the United States. PATIENTS: Children discharged from a PHIS hospital in 2019 with one of the top ten medical conditions where PICU utilization was present in greater than or equal to 5% of hospitalizations. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Race and ethnicity categories included Asian, Black, Hispanic, White, and other. Primary outcomes of interest were differences in rate of PICU admission, and for children requiring PICU care, total hospital length of stay (LOS). One-quarter (n = 44,200) of the 178,134 hospital discharges included a PICU admission. In adjusted models, Black children had greater adjusted odds ratio (aOR [95% CI]) of PICU admission in bronchiolitis (aOR, 1.08 [95% CI, 1.02-1.14]; p = 0.01), respiratory failure (aOR, 1.18 [95% CI, 1.10-1.28]; p < 0.001), seizure (aOR, 1.28 [95% CI, 1.08-1.51]; p = 0.004), and diabetic ketoacidosis (DKA) (aOR, 1.18 [95% CI, 1.05-1.32]; p = 0.006). Together, Hispanic, Asian, and other race children had greater aOR of PICU admission in five of the diagnostic categories, compared with White children. The geometric mean (± sd) hospital LOS ranged from 47.7 hours (± 2.1 hr) in croup to 206.6 hours (± 2.8 hr) in sepsis. After adjusting for demographics and illness severity, non-White children had longer LOS in respiratory failure, pneumonia, DKA, and sepsis. CONCLUSIONS: The need for critical care to treat acute illness in children may be inequitable. Additional studies are needed to understand and eradicate differences in PICU utilization based on race and ethnicity.

Changes in hospitalization populations by level of complexity at children's hospitals.

It is important for hospitals to understand how hospitalizations for children are changing to adapt and best accommodate the future needs of all patient populations. This study aims to understand how hospitalizations for children with medical complexity (CMC) and non-CMC have changed over time at children's hospitals, and how hospitalizations for these children will look in the future. Children with 3+ complex chronic conditions (CCC) accounted for 7% of discharges and over one-quarter of days and one-third of costs during the study period (2012-2022). The number of CCCs was associated with increased growth in discharges, hospital days, and costs. Understanding these trends can help hospitals better allocate resources and training to prepare for pediatric patients across the spectrum of complexity.

Child Opportunity Index Disparities in Pediatric Surgical Encounters During the Coronavirus 2019 Pandemic.

OBJECTIVE: Surgical encounters decreased during the coronavirus disease (COVID-19) pandemic and may have been deferred more in children with impeded health care access related to social/community risk factors. We compared surgery trends before and during the pandemic by Child Opportunity Index (COI). METHODS: Retrospective analysis of 321,998 elective surgical encounters of children ages 0-to-18 years in 44 US children's hospitals from January 1, 2017 to December 31, 2021. We used auto-regression to compare observed versus predicted encounters by month in 2020-21, modeled from 2017 to 2019 trends. Encounters were compared by COI score (very low, low, moderate, high, very high) based on education, health/environment, and social/economic attributes of the zip code from the children's home residence. RESULTS: Most surgeries were on the musculoskeletal (28.1%), ear/nose/pharynx (17.1%), cardiovascular (15.1%), and digestive (9.1%) systems; 20.6% of encounters were for children with very low COI, 20.8% low COI, 19.8% moderate COI, 18.6% high COI, and 20.1% very high COI. Reductions in observed volume of 2020-21 surgeries compared with predicted varied significantly by COI, ranging from -11.3% (95% confidence interval [CI] -14.1%, -8.7%) for very low COI to -2.6% (95%CI -3.9%, 0.7%) for high COI. Variation by COI emerged in June 2020, as the volume of elective surgery encounters neared baseline. For 12 of the next 18 months, the reduction in volume of elective surgery encounters was the greatest in children with very low COI. CONCLUSIONS: Children from very low COI zip codes experienced the greatest reduction in elective surgery encounters during early COVID-19 without a subsequent increase in encounters over time to counterbalance the reduction.

Categorization of a Universal Coding System to Distinguish Use of Durable Medical Equipment and Supplies in Pediatric Patients.

Importance: Although durable medical equipment and supplies (DMES) are commonly used to optimize the health and function in pediatric patients, little is known about the prevalence of use and spending on DMES. Objective: To categorize the Healthcare Common Procedure Coding System (HCPCS) for distinguishing DMES types, and to measure the prevalence and related spending of DMES in pediatric patients using Medicaid. Design, Setting, and Participants: This study is a cross-sectional analysis of the 2018 Merative Medicaid Database and included 4 569 473 pediatric patients aged 0 to 21 years enrolled in Medicaid in 12 US states from January 1 to December 31, 2018. Data were analyzed from February 2019 to April 2023. Exposure: DMES exposure was identified with the Centers for Medicare & Medicaid Services HCPCS codes. Three pediatricians categorized HCPCS DMES codes submitted by vendors for reimbursement of dispensed DMES into DMES types and end-organ systems; 15 expert reviewers refined the categorization (2576 DMES codes, 164 DMES types, 14 organ systems). Main Outcomes and Measures: The main outcome was DMES prevalence & Medicaid spending. The χ2 test was used to compare DMES prevalence and Wilcoxon rank sum tests were used to compare per-member-per-year (PMPY) spending by complex chronic conditions (CCC). Results: Of the 4 569 473 patients in the study cohort, 49.3% were female and 56.1% were aged 5 to 15 years. Patients used 133 of 164 (81.1%) DMES types. The DMES prevalence was 17.1% (95% CI, 17.0%-17.2%) ranging from 10.1% (95% CI, 10.0%-10.2%) in patients with no chronic condition to 60.9% (95% CI, 60.8%-61.0%) for patients with 2 or more CCCs. The PMPY DMES spending was $593, ranging from $349 for no chronic condition to $4253 for 2 or more CCCs. Lens (7.9%), vision frames (6.2%), and orthotics for orthopedic injury (0.8%) were the most common DME in patients with no chronic condition. Enteral tube / feeding supplies (19.8%), diapers (19.2%), lower extremity orthotics (12.3%), wheelchair (9.6%), oxygen (9.0%), and urinary catheter equipment (4.2%) were among the most common DMES in children with 2 or more CCCs. Conclusions and Relevance: In this cross-sectional study, HCPCS distinguished a variety of DME types and use across pediatric populations. Further investigation should assess the utility of the HCPCS DMES categorization with efforts to optimize the quality and safety of DMES use.

Annual Days With a Health Care Encounter for Children and Youth Enrolled in Medicaid: A Multistate Analysis.

OBJECTIVE: To assess the number of days that children experienced a health care encounter and associations between chronic condition types and health care encounters. METHODS: Retrospective analysis of data from 5,082,231 children ages 0 to 18 years enrolled in Medicaid during 2017 in 12 US states contained in the IBM Watson Marketscan Medicaid Database. We counted and categorized enrollees' encounter days, defined as unique days a child had a health care visit, by type of health service. We used International Classification of Disease-10 diagnosis code categories from Agency for Healthcare Research and Quality's Chronic Condition Indicator System to identify chronic mental and physical health conditions. RESULTS: Median (interquartile range [IQR]) annual encounter days was 6 (2-13). Children in the 91st to 98th and ≥99th percentiles for encounter days experienced a median of 49 (IQR 38-70) and 229 (IQR 181, 309) days, respectively; these children accounted for 52.6% of days for the cohort. As encounter days increased from the 25th to >90th percentile, the percentage of children with co-existing mental and physical health conditions increased from <0.1% to 47.4% (P < .001). Outpatient visits accounted for a total of 68.3% and 62.2% of days for children the 91st to 98th and ≥99th percentiles. CONCLUSION: Ten percent of children enrolled in Medicaid averaged health care encounters at least 1 day per week; 1% experienced health care encounters on most weekdays. Further investigation is needed to understand how families perceive frequent health care encounters, including how to facilitate their children's care in the most feasible way.

National Research Agenda on Health Systems for Children and Youth With Special Health Care Needs.

Children and youth with special health care needs (CYSHCN) "have or are at increased risk for chronic physical, developmental, behavioral or emotional conditions and also require health and related services of a type or amount beyond that required by children generally." CYSHCN rely on health systems, which extend beyond traditional health care entities, to optimize their health and well-being. The current US health system is not fully equipped and functioning to meet the needs of CYSHCN. Recognizing this, the Maternal and Child Health Bureau and the US Health Resources and Services Administration established the Research Network on Health Systems for CYSHCN (CYSHCNet, http://www.cyshcnet.org). With input from >800 US stakeholders, CYSHCNet developed a national research agenda on health systems for CYSHCN designed to: 1) highlight important health system challenges faced by key stakeholders (ie, patients and families, health care providers, insurers, administrators, etc.); 2) organize research topics and goals to identify opportunities for improvement, to address challenges and to promote progress toward the ideal health system; and 3) provide a blueprint for health systems research ideas and studies that will guide CYSHCN investigators and other stakeholders going forward. We introduce the 6 research topics currently included in the research agenda-transition to adulthood, caregiving, family health, child health care, principles of care, and financing-to inform and guide investigators as they embark on a trajectory of health systems research on CYSHCN.

Home Health Care Utilization in Children With Medicaid.

BACKGROUND: Although many children with medical complexity (CMC) use home health care (HHC), little is known about all pediatric HHC utilizers. Our objective was to assess characteristics of pediatric HHC recipients, providers, and payments. METHODS: We conducted a retrospective analysis of 5 209 525 children age 0-to-17 years enrolled Medicaid in the 2016 IBM Watson MarketScan Medicaid Database. HHC utilizers had ≥ 1 HHC claim. Healthcare Common Procedure Coding System (HCPCS) and Current Procedural Terminology (CPT) codes were reviewed to codify provider types when possible: registered nurse (RN), licensed practical nurse (LPN), home health aide (HHA), certified nursing assistant (CNA), or companion/personal attendant. Enrollee clinical characteristics, HHC provider type, and payments were assessed. Chronic conditions were evaluated with Agency for Healthcare Research and Quality's Chronic Condition Indicators and Feudtner's Complex Chronic Conditions. RESULTS: Of the 0.8% of children who used HHC, 43.8% were age <1 year, 25% had no chronic condition, 38.6% had a noncomplex chronic condition, 21.5% had a complex chronic condition without technology assistance, and 15.5% had technology assistance (eg, tracheostomy). HHC for children with technology assistance accounted for 72.6% of all HHC spending. Forty-five percent of HHC utilizers received RN/LPN-level care, 7.9% companion/personal attendant care, 5.9% HHA/CNA-level care, and 36% received care from an unspecified provider. For children with technology assistance, the majority (77.2%) received RN/LPN care, 17.5% companion/personal assistant care, and 13.8% HHA/CNA care. CONCLUSIONS: Children using HHC are a heterogeneous population who receive it from a variety of providers. Future investigations should explore the role of nonnurse caregivers, particularly with CMC.

Trends in Health Care Use and Spending for Young Children With Neurologic Impairment.

BACKGROUND AND OBJECTIVES: Children with neurologic impairment (NI) are a growing subset of children who frequently use health care. We examined health care use and spending trends across services for children with NI during their first 5 years of life. METHODS: This was a retrospective study of 13 947 children with NI in the multistate IBM Medicaid MarketScan Database (2009-2017). We established birth cohorts of children with NI and analyzed claims from birth to 5 years. NI, identified by using International Classification of Diseases, 9th Revision, diagnosis codes, was defined as ≥1 neurologic diagnosis that was associated with functional and/or intellectual impairment. We measured annual health care use and per-member-per-year spending by inpatient, emergency department (ED), and outpatient services. Population trends in use and spending were assessed with logistic and linear regression, respectively. RESULTS: During their first versus fifth year, 66.8% vs 5.8% of children with NI used inpatient services, and 67.8% vs 44.4% used ED services. Annual use in both categories decreased over 0-5 years (inpatient odds ratio: 0.35, 95% confidence interval: 0.34 to 0.36; ED odds ratio: 0.78, 95% confidence interval: 0.77 to 0.79). The use of outpatient services (primary care, specialty care, home health) decreased gradually. Per-member-per-year spending on inpatient services remained the largest spending category: $83 352 (90.2% of annual spending) in the first year and $1944 (25.5%) in the fifth year. CONCLUSIONS: For children with early-onset NI from 0-5 years, use and spending on inpatient services decreased dramatically; ED and outpatient service use decreased more gradually. These findings may help systems, clinicians, and families optimize care by anticipating and adjusting for shifting use of health care services.

Healthcare Encounter and Financial Impact of COVID-19 on Children's Hospitals.

Children's hospitals responded to COVID-19 by limiting nonurgent healthcare encounters, conserving personal protective equipment, and restructuring care processes to mitigate viral spread. We assessed year-over-year trends in healthcare encounters and hospital charges across US children's hospitals before and during the COVID-19 pandemic. We performed a retrospective analysis, comparing healthcare encounters and inflation-adjusted charges from 26 tertiary children's hospitals reporting to the PROSPECT database from February 1 to June 30 in 2019 (before the COVID-19 pandemic) and 2020 (during the COVID-19 pandemic). All children's hospitals experienced similar trends in healthcare encounters and charges during the study period. Inpatient bed-days, emergency department visits, and surgeries were lower by a median 36%, 65%, and 77%, respectively, per hospital by the week of April 15 (the nadir) in 2020 compared with 2019. Across the study period in 2020, children's hospitals experienced a median decrease of $276 million in charges.

Hospitals' Diversity of Diagnosis Groups and Associated Costs of Care.

BACKGROUND AND OBJECTIVES: Hospitals treating patients with greater diagnosis diversity may have higher fixed and overhead costs. We assessed the relationship between hospitals' diagnosis diversity and cost per hospitalization for children. METHODS: Retrospective analysis of 1 654 869 all-condition hospitalizations for children ages 0 to 21 years from 2816 hospitals in the Kids' Inpatient Database 2016. Mean hospital cost per hospitalization, Winsorized and log-transformed, was assessed for freestanding children's hospitals (FCHs), nonfreestanding children's hospitals (NFCHs), and nonchildren's hospitals (NCHs). Hospital diagnosis diversity index (HDDI) was calculated by using the D-measure of diversity in Shannon-Wiener entropy index from 1254 diagnosis and severity-of-illness groups distinguished with 3M Health's All Patient Refined Diagnosis Related Groups. Log-normal multivariable models were derived to regress hospital type on cost per hospitalization, adjusting for hospital-level HDDI in addition to patient-level demographic (eg, age, race and ethnicity) and clinical (eg, chronic conditions) characteristics and hospital teaching status. RESULTS: Admission counts were 383 789 (23.2%) in FCHs, 588 463 (35.6%) in NFCHs, and 682 617 (41.2%) in NCHs. Unadjusted mean cost per hospitalization was $10 757 (95% confidence interval [CI]: $9451 to $12 243) in FCHs, $6264 (95% CI: $5830 to $6729) in NFCHs, and $4192 (95% CI: $4121 to $4265) in NCHs. HDDI was significantly (P < .001) higher in FCHs and NFCHs (median 9.2 and 6.4 times higher, respectively) than NCHs. Across all hospitals, greater HDDI was associated (P = .002) with increased cost. Adjusting for HDDI resulted in a nonsignificant (P = .1) difference in cost across hospital types. CONCLUSIONS: Greater diagnosis diversity was associated with increased cost per hospitalization and should be considered when assessing associated costs of inpatient care for pediatric patients.

Timing of Co-occurring Chronic Conditions in Children With Neurologic Impairment.

BACKGROUND: Children with neurologic impairment (NI) are at risk for developing co-occurring chronic conditions, increasing their medical complexity and morbidity. We assessed the prevalence and timing of onset for those conditions in children with NI. METHODS: This longitudinal analysis included 6229 children born in 2009 and continuously enrolled in Medicaid through 2015 with a diagnosis of NI by age 3 in the IBM Watson Medicaid MarketScan Database. NI was defined with an existing diagnostic code set encompassing neurologic, genetic, and metabolic conditions that result in substantial functional impairments requiring subspecialty medical care. The prevalence and timing of co-occurring chronic conditions was assessed with the Agency for Healthcare Research and Quality Chronic Condition Indicator system. Mean cumulative function was used to measure age trends in multimorbidity. RESULTS: The most common type of NI was static (56.3%), with cerebral palsy (10.0%) being the most common NI diagnosis. Respiratory (86.5%) and digestive (49.4%) organ systems were most frequently affected by co-occurring chronic conditions. By ages 2, 4, and 6 years, the mean (95% confidence interval [CI]) numbers of co-occurring chronic conditions were 3.7 (95% CI 3.7-3.8), 4.6 (95% CI 4.5-4.7), and 5.1 (95% CI 5.1-5.2). An increasing percentage of children had ≥9 co-occurring chronic conditions as they aged: 5.3% by 2 years, 10.0% by 4 years, and 12.8% by 6 years. CONCLUSIONS: Children with NI enrolled in Medicaid have substantial multimorbidity that develops early in life. Increased attention to the timing and types of multimorbidity in children with NI may help optimize their preventive care and case management health services.

Hospital resource use after hip reconstruction surgery in children with neurological complex chronic conditions.

AIM: To assess how co-occurring conditions influence recovery after hip reconstruction surgery in children with neurological complex chronic conditions (CCCs). METHOD: This was a retrospective analysis of 4058 children age 4 years or older with neurological CCCs who underwent hip reconstructive surgery between 1st January 2015 and 31st December 2018 in 49 children's hospitals. The presence of co-occurring chronic conditions was assessed using the Agency for Healthcare Research Chronic Condition Indicator system. Multivariable, hierarchical regression was used to assess the relationship between co-existing conditions and postoperative hospital length of stay (LOS), cost, and 30-day readmission rate. RESULTS: The most common co-occurring conditions were digestive (60.1%) and respiratory (37.9%). As the number of co-existing conditions increased from one to four or more, median LOS increased 67% (3d [interquartile range {IQR} 2-4d] to 5d [IQR 3-8d]); median hospital cost increased 41% ($20 248 [IQR $14 921-$27 842] to $28 692 [IQR $19 236-$45 887]); and readmission rates increased 250% (5.5-13.9%), p<0.001 for all. Of all specific co-existing chronic conditions, malnutrition was associated with the greatest increase in postoperative hospital resource use. INTERPRETATION: Co-occurring conditions, and malnutrition in particular, are a significant risk factor for prolonged, in-hospital recovery after hip reconstruction surgery in children with a neurological CCC. Further investigation is necessary to assess how improved preoperative optimization of multiple co-occurring conditions may improve postoperative outcomes and resource utilization. WHAT THIS PAPER ADDS: Children with neurological complex chronic conditions (CCCs) often develop hip disorders which require hip reconstruction surgery. Co-occurring conditions are common in children with neuromuscular CCCs. Having four or more chronic conditions was associated with a longer length of stay, increased costs, and higher odds of readmission. Malnutrition was a significant risk factor for prolonged hospitalization after hip reconstruction surgery.

The Pediatric-Specific American Society of Anesthesiologists Physical Status Score: A Multicenter Study.

BACKGROUND: When applied to the pediatric population, the American Society of Anesthesiologists physical status (ASA-PS) classification has exhibited poor reliability due to its subjective and adult-focused definitions. This study was done to measure interrater agreement of a pediatric-adapted ASA-PS classification and to solicit multicenter perspectives to optimize the pediatric ASA-PS classification. METHODS: A prospective, mixed-methods study of 197 pediatric anesthesiologists from 13 academic pediatric hospitals in the United States, Europe, and Australia surveyed in May and July 2019. Participants assigned ASA-PS scores (I to V) for 15 pediatric cases with a heterogeneous mix of acute and chronic health conditions undergoing a variety of surgical and related procedures. Pediatric-adapted definitions of ASA-PS were provided. The intraclass correlation coefficient (ICC) was used to assess interrater reliability of ASA-PS scores. The ICC was estimated using 2-way mixed-effects modeling, accounting for multiple raters assigning scores for the same set of cases. Qualitative feedback on the pediatric-adapted ASA-PS classification was analyzed with line-by-line coding. RESULTS: The survey response rate was 83.8% (165 of 197). The ICC agreement among participants on ASA-PS scoring across all 15 clinical cases was 0.58 (95% confidence interval [CI], 0.42-0.77). ICC did not vary significantly by years of anesthesiology practice. ICC varied across hospitals (range: 0.34; 95% CI, 0.12-0.63 to 0.79; 95% CI, 0.66-0.91). The highest level of agreement occurred with cases most often scored as ASA-PS I, IV, and V; the lowest agreement occurred with cases most often scored ASA-PS II and III. Clarification of how well a chronic condition was controlled and presence of an acute illness were 2 common themes suggested to optimize the validity of the pediatric-adapted ASA-PS definitions. CONCLUSIONS: The pediatric-adapted ASA-PS classification had moderate interrater reliability among pediatric anesthesiologists. The lower reliability of scoring for ASA-PS II and III cases, in particular, supports the need for further ASA-PS definition refinement for pediatric populations.

Comprehensive Risk Assessment of Morbidity in Pediatric Patients Undergoing Noncardiac Surgery: An Institutional Experience.

BACKGROUND: Utilizing the intrinsic surgical risk (ISR) and the patient's chronic and acute conditions, this study aims to develop and validate a comprehensive predictive model of perioperative morbidity in children undergoing noncardiac surgery. METHODS: Following institutional review board (IRB) approval at a tertiary care children's hospital, data for all noncardiac surgical encounters for a derivation dataset from July 2017 to December 2018 including 16,724 cases and for a validation dataset from January 2019 to December 2019 including 9043 cases were collected retrospectively. The primary outcome was a composite morbidity score defined by unplanned transfer to an intensive care unit (ICU), acute respiratory failure requiring intubation, postoperative need for noninvasive or invasive positive pressure ventilation, or cardiac arrest. Internal model validation was performed using 1000 bootstrap resamples, and external validation was performed using the 2019 validation cohort. RESULTS: A total of 1519 surgical cases (9.1%) experienced the defined composite morbidity. Using multivariable logistic regression, the Risk Assessment of Morbidity in Pediatric Surgery (RAMPS) score was developed with very good predictive ability in the derivation cohort (area under the curve [AUC] = 0.805; 95% confidence interval [CI], 0.795-0.816), very good internal validity using 1000 bootstrap resamples (bias-corrected Nagelkerke R = 0.21 and Brier score = 0.07), and good external validity (AUC = 0.783; 95% CI, 0.770-0.797). The included variables are age <5 years, critically ill, chronic condition indicator (CCI) ≥3, significant CCI ≥2, and ISR quartile ≥3. The RAMPS score ranges from 0 to 10, with the risk of composite morbidity ranging from 1.8% to 42.7%. CONCLUSIONS: The RAMPS score provides the ability to identify a high-risk cohort of pediatric patients using a 5-component tool, and it demonstrated good internal and external validity and generalizability. It also provides an opportunity to improve perioperative planning with the intent of improving both individual-patient outcomes and the appropriate allocation of health care resources.

Health System Research Priorities for Children and Youth With Special Health Care Needs.

OBJECTIVES: In this study, we sought to establish priorities for a national research agenda for children and youth with special health care needs (CYSHCN) through a structured, multistakeholder, mixed-methods approach. METHODS: Using surveys, we solicited responses from >800 members of expert-nominated stakeholder organizations, including CYSHCN families, health care providers, researchers, and policymakers, to identify what research with or about CYSHCN they would like to see in a national research agenda. From 2835 individual free-text responses, 96 research topics were synthesized and combined. Using an adapted RAND/UCLA Appropriateness Method (a modified Delphi approach), an expert panel rated research topics across 3 domains: need and urgency, research impact, and family centeredness. Domains were rated on 9-point Likert scales. Panelist ratings were used to sort research topics into 4 relative-priority ranks. Rank 1 (highest priority) research topics had a median of ≥7 in all domains. RESULTS: The RAND/UCLA Appropriateness Method was used to prioritize CYSHCN research topics and depict their varying levels of stakeholder-perceived need and urgency, research impact, and family centeredness. In the 15 topics that achieved rank 1, social determinants of health (disparities and rurality), caregiving (family resilience and care at home), clinical-model refinement (effective model elements, labor divisions, telemedicine, and system integration), value (stakeholder-centered value outcomes, return on investment, and alternative payment models), and youth-adult transitions (planning, insurance, and community supports) were emphasized. CONCLUSIONS: High-priority research topics identified by CYSHCN experts and family leaders underscore CYSHCN research trends and guide important directions. This study is the first step toward an efficient and cohesive research blueprint to achieve highly-effective CYSHCN health systems.

Health Care Utilization and Spending for Children With Mental Health Conditions in Medicaid.

OBJECTIVE: To examine how characteristics vary between children with any mental health (MH) diagnosis who have typical spending and the highest spending; to identify independent predictors of highest spending; and to examine drivers of spending groups. METHODS: This retrospective analysis utilized 2016 Medicaid claims from 11 states and included 775,945 children ages 3 to 17 years with any MH diagnosis and at least 11 months of continuous coverage. We compared demographic characteristics and Medicaid expenditures based on total health care spending: the top 1% (highest-spending) and remaining 99% (typical-spending). We used chi-squared tests to compare the 2 groups and adjusted logistic regression to identify independent predictors of being in the top 1% highest-spending group. RESULTS: Children with MH conditions accounted for 55% of Medicaid spending among 3- to 17-year olds. Patients in the highest-spending group were more likely to be older, have multiple MH conditions, and have complex chronic physical health conditions (P <.001). The highest-spending group had $164,003 per-member-per-year (PMPY) in total health care spending, compared to $6097 PMPY in the typical-spending group. Ambulatory MH services contributed the largest proportion (40%) of expenditures ($2455 PMPY) in the typical-spending group; general health hospitalizations contributed the largest proportion (36%) of expenditures ($58,363 PMPY) in the highest-spending group. CONCLUSIONS: Among children with MH conditions, mental and physical health comorbidities were common and spending for general health care outpaced spending for MH care. Future research and quality initiatives should focus on integrating MH and physical health care services and investigate whether current spending on MH services supports high-quality MH care.