Evaluating Completeness of Discrete Data on Physical Functioning for Children With Cerebral Palsy in a Pediatric Rehabilitation Learning Health System

Completeness of Pediatric Versus Adult Patient Assessment Documentation in the National Emergency Medical Services Information System

BACKGROUND

Pediatric prehospital encounters are proportionally low-frequency events. National pediatric readiness initiatives have targeted gaps in prehospital pediatric assessment and management. Regional studies suggest that pediatric vital signs are inconsistently obtained and documented. We aimed to assess national emergency medical services (EMS) data to evaluate completeness of assessment documentation for pediatric versus adult patients and to identify the documentation of condition-specific assessments.

METHODS

We performed a retrospective cross-sectional analysis of EMS encounters from the National Emergency Medical Services Information System for 2019, including all 9-1-1 encounters resulting in transport. Our primary outcome was the proportion of encounters with complete vital signs (heart rate, respiratory rate, and systolic blood pressure) documented by pediatric age category relative to adult encounters. Pediatric patients were considered as those less than 18 years old. Our secondary outcome was condition-specific assessments for encounters with respiratory emergencies, cardiac complaints, and trauma. We performed multivariable logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for vital signs documentation by age after adjusting for sex, injury status, transport type (advanced vs basic life support), census region, urbanicity, organization nonprofit status, and organization type.

RESULTS

Of 18,918,914 EMS encounters, 6.4% involved pediatric patients. Documentation of complete vital signs was lowest in those <1 month old (30.8%) and rose with increasing age (highest in adults; 91.8%). Relative to adults, the adjusted odds of documented complete vital signs in patients <1 month old was 0.03 (95% CI 0.03-0.03) and increased with age to 0.76 (95% CI 0.75-0.77) in those 12-17 years old. Among those patients with respiratory, cardiac, and traumatic complaints, children had lower proportions of documented pulse oximetry, monitor use, and pain scores, respectively, compared to adults.

CONCLUSION

Documentation of complete vital signs and condition-specific assessments occurs less frequently in children, especially in younger age groups, as compared to adults, which is a finding that exists across urbanicity, region, and level of response. These findings provide a benchmark for clinical care, quality improvement, and research in the prehospital setting.

The SHOnet learning health system: Infrastructure for continuous learning in pediatric rehabilitation

INTRODUCTION

To describe the development and implementation of learning health system (LHS) infrastructure for a pediatric specialty care health system to support LHS research in pediatric rehabilitation settings.

METHODS

An existing pediatric common data model (eg, PEDSnet) of standardized medical terminologies for research was expanded and leveraged for this stud, and applied to SHOnet, a clinical research data resource consisting of deidentified data extracted from the electronic health record (EHR) from the Shriners Hospitals for Children speacialty pediatric health care system. We mapped EHR data for laboratory, procedures, drugs, and conditions to standardized vocabularies including ICD-10, CPT, RxNorm, and LOINC to the common data model using an established extraction-transformation-loading process. Rigorous quality checks were conducted to ensure a high degree of data conformance, completeness, and plausibility. SHOnet data elements from all sources are de-identified and the server is managed by the SHC Information Systems Department. SHOnet data are refreshed monthly and data elements are continually expanded based on new research endeavors.

INTERVENTIONS

Not applicable.

RESULTS

The Shriners Health Outcomes Network (SHOnet) includes data for over 10 000 distinct observational data elements based on over two million patient encounters between 2011 and present.

CONCLUSION

The systematic process to develop SHOnet is replicable and flexible for other pediatric rehabilitation research settings interested in building out their LHS capabilities. Challenges and facilitators may arise for building such LHS infrastructure for rehabilitation in areas of (a) data capture, curation, query, and governance, (b) generating knowledge from data, and (c) dissemination and implementation of new institutional knowledge. Further research studies are needed to evaluate these data resources for scalable system-learning endeavors.SHOnet is an exemplar of an LHS for rehabilitation and specialty care settings. The success of an LHS is dependent on engagement of multiple stakeholders, shared governance, effective knowledge translation, and deep commitment to long-term strategies for engaging clinicians, administration, and families in leveraging knowledge to improve clinical outcomes.