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J Epidemiol October 2017 PMID 28142051

Validity of diagnoses, procedures, and laboratory data in Japanese administrative data.

Hayato Yamana, Mutsuko Moriwaki, Hiromasa Horiguchi, Mariko Kodan, Kiyohide Fushimi, Hideo Yasunaga

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Mentions

3
Peak: 1 in Mar 2024
across 2 sources since Mar 2024

Extended reach

60
potential audience

Total likes

0

Video views

50

Mentions per month

Mar 2024 – Oct 2025

Where it's discussed

  • YouTube2 videos
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AI synopsis

What people are saying

Comments reflect a positive reception of the study’s validation of DPC and laboratory data, with phrases like 'promising results' and 'valuable for research' indicating appreciation for the work’s significance; however, the tone remains measured, emphasizing potential rather than immediate change.

AgreementModerate agreement

Many discussions acknowledge the study’s positive findings regarding the reliability of certain Japanese healthcare datasets, indicating general agreement.

InterestModerate interest

The discussions show moderate curiosity, especially about the practical implications for medical research and healthcare quality assessment.

EngagementNeutral engagement

Participants mention specific dataset types and consider the broader implications, but do not deeply debate or challenge the findings.

ImpactModerate impact

The recognition that this research can influence future healthcare data use suggests a notable, though not transformative, impact.

Abstract in brief

  • The study assessed the accuracy of Japanese healthcare data, focusing on diagnoses, procedures, and lab results, by comparing electronic records with detailed chart reviews from four hospitals.
  • The findings showed high specificity (above 96%) for diagnoses and procedures in the DPC data, but sensitivity was variable and often below 50%, though primary diagnoses had better accuracy.
  • The SSMIX lab data showed high agreement (over 95%) with chart reviews, supporting the reliability of these datasets for future medical research.]
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Top posts

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循環器記事エビデンスメモ
@3333333fr · X

DPCに付いている傷病名の妥当性 https://t.co/N27MF0tRyR

Oct 31, 2025 · 11 followers View post →

All mentions

循環器記事エビデンスメモ
@3333333fr · X

DPCに付いている傷病名の妥当性 https://t.co/N27MF0tRyR

Oct 31, 2025 · 11 followers View post →