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EMR Challenges: Discrepancies Between Clinical Scoring Tools in Pediatric Appendicitis
Krysta M Sutyak1, Victor M Ringheanu2, Jack J Strubel2
1Department of Pediatric Surgery, McGovern Medical School, University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, Texas; Center for Surgical Trials and Evidence-Based Practice (CSTEP), McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas.
Insights
Electronic medical record transitions can affect patient care. The Pediatric Appendicitis Risk Calculator (pARC) showed significant discordance with the Pediatric Appendicitis Score (PAS), especially in adolescent females and those with normal white blood cell counts.
Area of Science:
- Pediatric Surgery
- Health Informatics
- Clinical Decision Support
Background:
- Electronic medical record (EMR) transitions can disrupt patient care pathways.
- A recent EMR transition replaced the Pediatric Appendicitis Score (PAS) with the Pediatric Appendicitis Risk Calculator (pARC).
- Understanding score discrepancies is crucial for maintaining care quality.
Purpose of the Study:
- To examine the discordance between the Pediatric Appendicitis Score (PAS) and the Pediatric Appendicitis Risk Calculator (pARC) following an EMR transition.
- To identify patient demographics and clinical factors associated with score discrepancies.
- To evaluate the impact of EMR system changes on diagnostic tool utilization.
Main Methods:
- Retrospective review of 1182 patients (ages 3-17) who underwent appendectomy.
- Calculation and comparison of PAS and pARC scores and their assigned risk categories.
- Statistical analysis including percent discordance and McNemar-Bowker test to assess significance.
Main Results:
- PAS and pARC showed significant discordance in 40% of patients (P < 0.001).
- Higher discordance rates were observed in older children (≥12 years) and females.
- Adolescent females (≥12 years) exhibited the highest discordance (73%), with pARC underestimating risk compared to PAS, particularly in patients with low white blood cell counts.
Conclusions:
- Clinical decision support tools like PAS and pARC do not always yield identical risk categorizations.
- The Pediatric Appendicitis Risk Calculator (pARC) classified fewer patients as high risk compared to the Pediatric Appendicitis Score (PAS).
- Significant discordance in challenging cohorts highlights the need for careful EMR transition management and validation of diagnostic tools.
Background:
Electronic medical record (EMR) transitions can impact patient care. With our EMR transition, the pediatric appendicitis score (PAS) was replaced by the Pediatric Appendicitis Risk Calculator (pARC). This study examines the discordance between PAS and pARC to identify discrepancies.
Methods:
A retrospective review was conducted of patients (ages 3-17 y) who underwent appendectomy at a children's hospital (5/2021-3/2024). PAS and pARC scores were retrospectively calculated and assigned risk categories. Descriptive statistics, percent discordance, and the McNemar-Bowker test were utilized.
Results:
Among 1182 children, the median age was 11 y (IQR 8-14), with 63% male. PAS categorized 3% as low risk, 23% moderate, and 75% high; pARC categorized 11% as low risk, 45% moderate, and 43% high (P < 0.001). PAS and pARC categorization were discordant in 40% of the patients. Discordance varied by age and sex: 40% for <12 y versus 48% ≥ 12 y (P = 0.003); 33% for males versus 59% for females (P < 0.001). Females aged ≥12 y had the highest discordance rate at 73%. Discordance was significantly higher in patients with a white blood cell (WBC) <10,000 cells/μL compared to WBC >10,000 cells/μL (P < 0.001).
Conclusions:
Decision support tools do not exhibit the same clinical outputs. pARC categorized significantly fewer patients as high risk. Clinically challenging cohorts, such as adolescent females and those with a normal WBC count, had nearly two-thirds discordance, with pARC underestimating risk compared to PAS. Scrutiny is needed in all aspects of EMR transitions, especially those with direct patient impact.
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