Improving anthropometric measurements in hospitalized children: A quality-improvement project

Sabrina Persaud1,2, Bridget M Hron2,3, Coral Rudie2

  • 1Clinical Education, Informatics, Quality and Professional Practice Department, Boston Children's Hospital, Boston, Massachusetts, USA.

Insights

This quality improvement project successfully boosted pediatric anthropometric documentation rates, significantly increasing the identification of malnutrition risk. The intervention involved multidisciplinary teams and led to substantial improvements across hospital units.

Area of Science:

  • Quality Improvement in Healthcare
  • Pediatric Patient Safety
  • Nutritional Assessment

Background:

  • Accurate anthropometric measurements (weight, height, BMI) are crucial for identifying pediatric patients at risk of malnutrition.
  • Pre-intervention documentation rates for these critical metrics were below 50% within 24 hours of hospital admission.

Purpose of the Study:

  • To implement a quality improvement initiative to increase anthropometric documentation rates.
  • Targeted an 80% documentation rate within 24 hours for pediatric hospital admissions.

Main Methods:

  • Established multidisciplinary champion teams on surgical, cardiac, and ICU pilot units.
  • Iteratively tested interventions to address documentation barriers from May 2016 to June 2018.
  • Utilized statistical process control for monthly assessment and chi-squared tests for pre/post intervention comparison.

Main Results:

  • Significant increases in anthropometric documentation rates were observed across all pilot units (e.g., BMI from 11% to 89% in surgical).
  • Hospital-wide BMI documentation improved from 42% to 70%.
  • Moderate/severe malnutrition risk identification tripled in pilot units following improved documentation.

Conclusions:

  • Multidisciplinary teams effectively improved anthropometric documentation rates on admission.
  • The 80% goal was achieved for surgical and cardiac units within 26 months.
  • Enhanced documentation significantly improved the identification of pediatric patients at malnutrition risk.
Abstract