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Identifying Housing Instability Using Administrative Data: Implications for Research and Advocacy
Emma M Hartswick Finch1,2, Benjamin V M Bajaj3, Amanda M Stewart4
1Department of Medicine, Boston Children's Hospital, Boston, Massachusetts.
Insights
Administrative databases can identify children experiencing housing instability in hospitals. Identification rates increased over 20 years, highlighting disparities and regional variations in care for this vulnerable population.
Area of Science:
- Pediatric Health Services Research
- Social Determinants of Health
- Health Informatics
Background:
- Housing instability is a critical social determinant of child health.
- Accurate identification of housing instability in pediatric populations is challenging.
- Administrative databases offer a potential avenue for identifying children facing housing instability.
Purpose of the Study:
- To determine if administrative databases can identify children with housing instability in pediatric hospitals.
- To analyze trends in the identification of housing instability over time.
- To explore demographic and regional variations in identification rates.
Main Methods:
- Utilized the Pediatric Health Information System database.
- Examined International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) Z codes for housing instability identification.
- Analyzed incidence of housing instability as a primary or nonprimary diagnosis over a 20-year period.
Main Results:
- Over 22,000 encounters with housing instability were identified across 20 years.
- The proportion of identified housing instability encounters significantly increased over time (P < .001).
- Disproportionate representation was observed among Non-Hispanic Black, Hispanic, and government-insured children; significant regional variations in identification were noted (P < .001).
Conclusions:
- Administrative databases show promise for identifying pediatric patients with housing instability.
- While Z-code utilization for housing instability identification has increased, significant regional disparities persist.
- Continued analysis of administrative data is crucial for informing future research and advocacy efforts concerning child housing instability.
Objectives:
Housing instability is an important social driver of health for children; however, it remains difficult to identify. This study explored whether an administrative database could be used to identify children with housing instability presenting to care at pediatric hospitals and how rates of identification have changed over time.
Methods:
Using the Pediatric Health Information System database, this study explored identification of housing instability in children through the use of International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) Z codes at tertiary children's hospitals. The primary outcome was incidence of identified housing instability, either as a primary or nonprimary diagnosis, during the study period.
Results:
Over a span of 20 years, there were 22 828 encounters with housing instability, 15% (3491) of which had a primary diagnosis for housing instability. The proportion of encounters identified with housing instability increased during the study period (P < .001). Non-Hispanic Black (34.5%), Hispanic (27.8%), and government-insured patients (81%) were disproportionally represented among encounters with housing instability. Additionally, there was significant regional variation in the identification of housing instability (P < .001). Nearly all encounters (98%) with a primary diagnosis of housing instability were discharged from the emergency department.
Conclusions:
These findings suggest that administrative databases may present an emerging opportunity to identify housing instability among pediatric patients. Although Z-code identification of housing instability varies widely by region, their use has increased over time, and continuing to study housing instability trends through administrative data can inform future research and advocacy.
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