New options for child health surveillance by state health departments

Kenneth D Rosenberg1, Larry Hembroff, Jodi Drisko

  • 1Office of Family Health, Oregon Public Health Division, 800 NE Oregon Street, Portland, OR 97232, USA. ken.d.rosenberg@state.or.us

Insights

State health departments now have child health surveillance tools for ages 1-14. This review examines four survey types, detailing their costs, scope, and data generalizability for child health monitoring.

Area of Science:

  • Public Health
  • Epidemiology
  • Child Health Surveillance

Background:

  • Historically, a lack of comprehensive child health surveillance instruments hindered state health departments.
  • Recent advancements have led to the development of novel surveillance tools for children aged 1-14 years.

Purpose of the Study:

  • To review and compare four distinct child health surveillance instruments developed by state health departments.
  • To evaluate the methodologies, costs, and data quality of different surveillance approaches.

Main Methods:

  • Review of four state-developed child health surveys: a phone-based Behavioral Risk Factor Surveillance System (BRFSS) follow-back survey (Colorado), a Pregnancy Risk Assessment Monitoring System (PRAMS)-based re-interview survey (Rhode Island), and two school-based surveys (Maine and Oregon).
  • Analysis of survey costs, target age groups, logistical complexity, and data generalizability.

Main Results:

  • The PRAMS-based survey was moderately expensive but limited to 2-year-olds.
  • The phone-based BRFSS survey was the most expensive, covering children aged 1-14 years.
  • School-based surveys presented moderate costs and logistical challenges, yielding less robust generalizable data.

Conclusions:

  • Various state-level child health surveillance instruments are emerging, offering different trade-offs in cost, scope, and data quality.
  • The choice of surveillance instrument depends on specific public health objectives, resource availability, and desired population coverage.
  • Further research is needed to optimize methods for robust and generalizable child health surveillance data collection.

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