Improving the quality of newborn feeding documentation in an EHR using a mixed methods approach

Abstract

Introduction

Newborn feeding is key to infant growth and survival. Accurate feeding documentation can inform care decisions and planning of care. A nutritional dashboard is available within the Electronic Health Record (EHR) which accumulates feeding data in a graphical display.

Purpose

To improve the quality of newborn feeding documentation for post-natal ward babies and babies in the Neonatal Intensive Care Unit (NICU).

Design

and Methods: A multidisciplinary end user expert group (n = 38) was established. Qualitative thematic analyses from this group were used to design new feeding data entry and review elements. Quantitative pre-post design was used to assess feeding documentation for both post-natal ward baby charts (n = 134) and NICU baby charts (n = 188). Descriptive statistics and Pearson's chi-square were used to assess pre-post differences and statistical significance. The use of a nutritional dashboard was assessed using system audit logs and analyzed using Poisson regression testing.

Results

Post-natal ward babies had improvements in structured feeding documentation by 91.6% (from 17.9% to 34.3%) (p = 0.031). NICU data feeding documentation improved by 25% (from 72.3% to 90.4%) (p = 0.001). Use of the nutritional dashboard however reduced in the post period.

Conclusion

This study has positively demonstrated improvements in the quality of newborn feeding documentation within the patient's EHR can be achieved through a collaborative multidisciplinary approach optimising EHR design.

Practice implications

The benefit of a multidisciplinary approach to EHR design is paramount to promoting superior quality data entry compliant with individual workflows.