Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2026
|
| Subjects: | |
| Online Access: | https://onlinelibrary.wiley.com/doi/10.1111/ped.70430 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867015451470462976 |
|---|---|
| author | Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo |
| author_facet | Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo |
| collection | Wiley Open Access |
| contents | Validity of Diagnostic and Procedure Codes in Administrative Data to Identify Pediatric Physical Abuse Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo Pediatrics International ABSTRACT Background Many countries lack comprehensive systems or standardized use of diagnostic codes to track child abuse. This study evaluated the validity of the International Classification of Diseases, 10th Revision (ICD‐10) diagnostic codes and developed algorithms to identify physical abuse using administrative data. Methods We analyzed children under 10 years hospitalized for injuries between April 2013 and March 2023 at a children's hospital in Japan. Child protection team records notifying local services were used as the reference standard. We assessed diagnostic, procedure, and medication codes using machine learning. Results Among 1375 injury cases, 53 involved physical abuse, but only one used an abuse‐specific ICD‐10 code, indicating limited reliability. Combining X‐ray and fundus examinations achieved 73.6% sensitivity (95% CI, 59.7–84.7) and 85.7% specificity (95% CI, 83.7–87.5) among children aged < 10 years and 80.9% sensitivity (95% CI, 66.7–90.9) and 79.1% specificity (95% CI, 76.2–81.7) among children aged < 6 years. Several machine learning approaches, including Lasso regression, random forest, and bootstrap classification‐and‐regression‐tree models, yielded broadly consistent findings. Conclusions ICD ‐10 codes alone are insufficient for identifying physical abuse combining specific procedures may improve case identification for future epidemiological surveillance. 10.1111/ped.70430 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1111/ped.70430 |
| format | Artículo Open Access |
| id | wiley_oa_10_1111_ped_70430 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Validity of Diagnostic and Procedure Codes in Administrative Data to Identify Pediatric Physical Abuse Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo Pediatrics International Validity of Diagnostic and Procedure Codes in Administrative Data to Identify Pediatric Physical Abuse Erika Obikane Tomoko Nishino Harumi Sonehara Satoko Uematsu Hayato Yamana Aya Isumi Yui Yamaoka Takeo Fujiwara Yusuke Okubo Pediatrics International ABSTRACT Background Many countries lack comprehensive systems or standardized use of diagnostic codes to track child abuse. This study evaluated the validity of the International Classification of Diseases, 10th Revision (ICD‐10) diagnostic codes and developed algorithms to identify physical abuse using administrative data. Methods We analyzed children under 10 years hospitalized for injuries between April 2013 and March 2023 at a children's hospital in Japan. Child protection team records notifying local services were used as the reference standard. We assessed diagnostic, procedure, and medication codes using machine learning. Results Among 1375 injury cases, 53 involved physical abuse, but only one used an abuse‐specific ICD‐10 code, indicating limited reliability. Combining X‐ray and fundus examinations achieved 73.6% sensitivity (95% CI, 59.7–84.7) and 85.7% specificity (95% CI, 83.7–87.5) among children aged < 10 years and 80.9% sensitivity (95% CI, 66.7–90.9) and 79.1% specificity (95% CI, 76.2–81.7) among children aged < 6 years. Several machine learning approaches, including Lasso regression, random forest, and bootstrap classification‐and‐regression‐tree models, yielded broadly consistent findings. Conclusions ICD ‐10 codes alone are insufficient for identifying physical abuse combining specific procedures may improve case identification for future epidemiological surveillance. 10.1111/ped.70430 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Validity of Diagnostic and Procedure Codes in Administrative Data to Identify Pediatric Physical Abuse |
| topic | Pediatrics International |
| url | https://onlinelibrary.wiley.com/doi/10.1111/ped.70430 |