Pregnancy-Related Clinical Codes in Unlikely Populations in Primary Care - Report - MDSpire

Pregnancy-Related Clinical Codes in Unlikely Populations in Primary Care

  • By

  • Helen Curtis

  • Peter Inglesby

  • Ben Goldacre

  • Rose Higgins

  • Amir Mehrkar

  • Sebastian Bacon

  • Brian MacKenna

  • June 30, 2026

  • 0 min

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Clinical Codes Associated with Pregnancy in Uncommon Patient Groups

Overview

This study investigates the prevalence of pregnancy-related clinical codes in male patients and older females within primary care settings during the COVID-19 pandemic, highlighting discrepancies in coding practices between two major electronic health record systems, EMIS and TPP.

Background

Accurate coding of pregnancy status is essential for public health monitoring, particularly for vaccine coverage and safety surveillance. The COVID-19 pandemic has underscored the need for reliable data on pregnancy-related health issues.

Data Highlights

GroupEMISTPP
Males (0-39 years)0.1 per 10000.3 per 1000
Females (70+ years)0.1 per 10000.5 per 1000
Females (16-39 years)100.4 per 100099.4 per 1000
Females (40-69 years)8.2 per 10006.3 per 1000

Key Findings

  • 0.1 to 0.4 per 1000 males had recent pregnancy/delivery codes in their GP records.
  • Up to 0.5 per 1000 females aged 70+ years had recent pregnancy codes.
  • The most common code among males and older females in TPP was 'knee presentation' (249098007).
  • Inconsistent coding practices were noted between EMIS and TPP systems.
  • Pregnancy-related codes may be erroneously recorded due to template misapplications.

Clinical Implications

Healthcare providers should be aware of potential inaccuracies in pregnancy coding, particularly in older patients and males.

Conclusion

The study reveals discrepancies in the recording of pregnancy-related codes in primary care.

Related Resources & Content

  1. JAMA Network Open, 2023 -- Direct Digital Referrals From Prenatal Care and WIC Enrollment Among Pregnant Individuals: A Randomized
  2. American Journal of Epidemiology, 2023 -- Assessing the Accuracy of Diagnostic Codes for Identifying Maternal Injuries During Pregnancy
  3. Drug Safety, 2021 -- Assessing Claims-Based Algorithms for Estimating Pregnancy Outcomes and Gestational Age Through a Combined Claims and Electronic Medical Record Analysis
  4. SNOMED CT - NHS England Digital -- SNOMED CT
  5. OpenCodelists -- Codes indicating the patient is pregnant
  6. Drug Safety — Creation and Assessment of ICD-10-CM Algorithms for Last Menstrual Period, Pregnancy Results, and Neonatal Outcomes
  7. COVID-19 Vaccination for Women Who Are Pregnant or Breastfeeding | Covid | CDC
  8. COVID-19 vaccination in pregnancy surveillance - GOV.UK
  9. SNOMED CT - NHS England Digital
  10. OpenCodelists: Codes indicating the patient is pregnant
  11. OpenSAFELY datasets - OpenSAFELY
  12. OpenSAFELY: OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY
  13. COVID-19 Vaccines and Pregnancy: Conversation Guide for Clinicians | ACOG
  14. Influenza, COVID-19, and Respiratory Syncytial Virus (RSV) vaccination coverage among pregnant women, weekly estimation methodology vs. post-season estimation methodology, Vaccine Safety Datalink (VSD) | RespVaxView | CDC
  15. Safety of BNT162b2 COVID-19 Vaccine in Pregnancy: A Systematic Review - PubMed
  16. Representing Patient Pregnancy Status | Interoperability Standards Platform (ISP)
  17. v2 IAPT Data Set – Guidance for identifying and submitting data on individuals in the perinatal period - NHS England Digital
  18. Coronavirus (COVID-19) hospital admissions by vaccination and pregnancy status, methodology: England - Office for National Statistics
  19. Pregnancy-related clinical codes in unlikely populations in primary care (Preprint) | Request PDF

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