Social Determinants of Health ICD-10 Code Use in Inpatient Pediatrics.

BACKGROUND AND OBJECTIVES: The American Academy of Pediatrics endorses screening for social determinants of health (SDOH) and providing families resources for unmet needs. A systematic response to unmet needs requires identification, documentation, and provision of resources. Our goal was to compare SDOH International Classification of Diseases, 10th Revision (ICD-10), code use for pediatric inpatients after policy changes in 2018 permitting coding by nonphysicians. METHODS: We conducted a retrospective cohort study comparing data from the 2016 and 2019 Kid's Inpatient Database for patients <21 years old. The primary variable was the presence of an SDOH code, defined as an ICD-10 Z-code (Z55-Z65) or 1 of 13 ICD-10 codes recommended by the American Academy of Pediatrics. We compared overall SDOH code usage between 2016 and 2019, and by Z-code category, demographic, clinical, and hospital characteristics using χ2 tests and odds ratios. Using logistic regression, we examined hospital-level characteristics for hospitals with >5% of discharges with an SDOH code. RESULTS: SDOH code documentation increased from 1.4% in 2016 to 1.9% in 2019 (P < .001), with no notable differences based on Z-code category. In both periods, SDOH code documentation was more common in adolescents, Native Americans, and patients with mental health diagnoses. The number of all hospitals using any SDOH code increased nearly 8% between 2016 and 2019. CONCLUSIONS: ICD-10 codes remain underused to track SDOH needs within the inpatient pediatric setting. Future research should explore whether SDOH code documentation is associated with increased response to unmet social needs and, if so, how to improve use of SDOH codes by all providers.

Development and Use of a Calculator to Measure Pediatric Low-Value Care Delivered in US Children's Hospitals.

Importance: The scope of low-value care in children's hospitals is poorly understood. Objective: To develop and apply a calculator of hospital-based pediatric low-value care to estimate prevalence and cost of low-value services. Design, Setting, and Participants: This cross-sectional study developed and applied a calculator of hospital-based pediatric low-value care to estimate the prevalence and cost of low-value services among 1 011 950 encounters reported in 49 US children's hospitals contributing to the Pediatric Health Information System (PHIS) database. To develop the calculator, a multidisciplinary stakeholder group searched existing pediatric low-value care measures and used an iterative process to identify and operationalize relevant hospital-based measures in the PHIS database. Children with an eligible encounter in 2019 were included in the calculator-applied analysis. Two cohorts were analyzed: an emergency department cohort (with encounters resulting in emergency department discharge) and a hospitalized cohort. Exposures: Eligible condition-specific hospital encounters. Main Outcomes and Measures: The proportion and volume of encounters in which low-value services were delivered and their associated standardized costs. Measures were ranked by those outcomes. Results: There were 1 011 950 encounters eligible for 1 or more of 30 calculator-included measures in 2019; encounters were incurred by 816 098 unique patients with a median age of 3 years (IQR, 1-8 years). In the emergency department cohort, low-value services delivered in the greatest percentage of encounters were Group A streptococcal testing among children younger than 3 years with pharyngitis (3679 of 9785 [37.6%]), computed tomography scan for minor head injury (7541 of 42 602 [17.7%]), and bronchodilators for treatment of bronchiolitis (8899 of 55 616 [16.0%]). In the hospitalized cohort, low-value care was most prevalent for broad-spectrum antibiotics in the treatment of community-acquired pneumonia (3406 of 5658 [60.2%]), acid suppression therapy for infants with esophageal reflux (3814 of 7507 of [50.8%]), and blood cultures for uncomplicated community-acquired pneumonia (2277 of 5823 [39.1%]). Measured low-value services generated nearly $17 million in total standardized cost. The costliest services in the emergency department cohort were computed tomography scan for abdominal pain (approximately $1.8 million) and minor head injury (approximately $1.5 million) and chest radiography for asthma (approximately $1.1 million). The costliest services in the hospitalized cohort were receipt of 2 or more concurrent antipsychotics (approximately $2.4 million), and chest radiography for bronchiolitis ($801 680) and asthma ($625 866). Conclusions and Relevance: This cross-sectional analysis found that low-value care for some pediatric services was prevalent and costly. Measuring receipt of low-value services across conditions informs prioritization of deimplementation efforts. Continued use of this calculator may establish trends in low-value care delivery.

ICD Social Codes: An Underutilized Resource for Tracking Social Needs.

BACKGROUND: Social determinants of health (SDH) data collected in health care settings could have important applications for clinical decision-making, population health strategies, and the design of performance-based incentives and penalties. One source for cataloging SDH data is the International Statistical Classification of Diseases and Related Health Problems (ICD). OBJECTIVE: To explore how SDH are captured with ICD Ninth revision SDH V codes in a national inpatient discharge database. MATERIALS AND METHODS: Data come from the 2013 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample, a national stratified sample of discharges from 4363 hospitals from 44 US states. We estimate the rate of ICD-9 SDH V code utilization overall and by patient demographics and payer categories. We additionally estimate the rate of SDH V code utilization for: (a) the 5 most common reasons for hospitalization; and (b) the 5 conditions with the highest rates of SDH V code utilization. RESULTS: Fewer than 2% of overall discharges in the National Inpatient Sample were assigned an SDH V code. There were statistically significant differences in the rate of overall SDH V code utilization by age categories, race/ethnicity, sex, and payer (all P<0.001). Nevertheless, SDH V codes were assigned to <7% of discharges in any demographic or payer subgroup. SDH V code utilization was highest for major diagnostic categories related to mental health and alcohol/substance use-related discharges. CONCLUSIONS: SDH V codes are infrequently utilized in inpatient settings for discharges other than those related to mental health and alcohol/substance use. Utilization incentives will likely need to be developed to realize the potential benefits of cataloging SDH information.