Validation of the Canadian Institute for Health Information Diagnostic Codes for Benign Gynaecologic Surgery

Magdalene Payne, Payne M, Vanessa Bacal, Olga Bougie, Bougie O, Nguyen V, Vincent Nguyen, Baier K, Kristina Baier, Gratton SM, Sara-Michelle Gratton, Simonne Holubeshen Formerly Khair, Simonne Holubeshen, Holubeshen Formerly Khair S, Medor MC, Maria Cassandre Medor, Maria Cassandre Médor, Mercier S, Stéphanie Mercier, Abdul Jamil Choudhry, Choudhry AJ, Innie Chen
Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC · 2023 · vol. 46(6) , pp. 102343 · doi:10.1016/j.jogc.2023.102343 · PMID:38160795 · W4390452380
article OA: closed CC0
View on OpenAlex View on PubMed View at publisher
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-13 ⓘ

This study found that ICD-10-CA diagnostic codes for benign gynaecologic surgery in Canada have high specificity and positive/negative predictive values, but varying sensitivity and Kappa coefficients depending on diagnostic subjectivity.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

We investigated the validity of the 10th Revision Canadian modification of International Statistical Classification of Disease and Related Health Problems (ICD-10-CA) diagnostic codes for surgery for benign gynaecologic conditions in the Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD), the main source of routinely collected data in Canada. Reabstracted data from patient charts was compared to ICD-10-CA codes and measures of validity were calculated with 95% confidence intervals. A total of 1068 procedures were identified. More objective, structural diagnoses (fibroids, prolapse) had higher sensitivity and near-perfect Kappa coefficients, while more subjective, symptomatic diagnoses (abnormal uterine bleeding, pelvic pain) had lower sensitivity and moderate-substantial Kappa coefficients. Specificity, positive predictive values, and negative predictive values were generally high for all diagnoses. These findings support the use of CIHI-DAD data for gynaecologic research.

My notes (saved in your browser only)

MeSH descriptors

Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female Genital Diseases, Female

Citation neighborhood (sparse)

Too few in-corpus citations on either side for a chart; here are the lists.

Cites (3)

References (8)

Source provenance

europepmc
last seen: 2026-08-16T09:21:09.727480+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-08-21T06:12:48.275269+00:00
unpaywall
last seen: 2026-08-20T06:30:07.000247+00:00
License: CC0 · commercial use OK