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Sensitivity of Administrative Coding for Heart Disease in Pregnancy
Gayani S Amarasinghe1,2, Isuru Ranasinghe3,4, Tara Pidgeon5
1Australian Center for Health Services Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
Administrative coding for heart disease in pregnancy is inaccurate, missing many cases and leading to underestimation. Improved data strategies are needed for accurate maternal heart disease research and planning.
Area of Science:
- Cardiology
- Obstetrics
- Health Informatics
Background:
- Heart disease in pregnancy is a significant cause of maternal mortality globally.
- Accurate data is crucial for understanding the true burden of pregnancy-related heart conditions.
- Electronic medical records offer potential but require validation.
Purpose of the Study:
- To evaluate the accuracy of administrative coding (ICD-10-AM) for identifying pregnancies complicated by heart disease.
- To assess the sensitivity of coding during childbirth admissions in an Australian tertiary hospital.
Main Methods:
- Compared ICD-10-AM codes from hospital administrative data against a cardiologist-adjudicated standard.
- Utilized a clinical database of 155 women receiving specialized cardio-obstetric care.
- Conducted case-level and individual code-level comparisons.
Main Results:
- Overall sensitivity for detecting any cardiac disease was 66.5%.
- Only 25.2% of cases had complete diagnostic matching; 41.3% were partially or incorrectly coded.
- 33.5% of cases lacked any cardiac-related code, with low sensitivity for arrhythmias (19%) and un-coded congenital heart disease.
Conclusions:
- Administrative coding significantly underestimates the prevalence of heart disease in pregnancy.
- Coding limitations, such as capturing only actively managed diagnoses, contribute to underestimation.
- Epidemiological studies and service planning require enhanced case-ascertainment strategies for accuracy.
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