Suppr超能文献

在一个独特的双重编码数据库中评估ICD-9-CM和ICD-10管理数据记录临床病症的有效性。

Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database.

作者信息

Quan Hude, Li Bing, Saunders L Duncan, Parsons Gerry A, Nilsson Carolyn I, Alibhai Arif, Ghali William A

机构信息

Department of Community Health Sciences and Centre for Health and Policy Studies, University of Calgary, 3330 Hospital Dr. NW, Calgary, AB T2N4N1, Canada.

出版信息

Health Serv Res. 2008 Aug;43(4):1424-41. doi: 10.1111/j.1475-6773.2007.00822.x.

Abstract

OBJECTIVE

The goal of this study was to assess the validity of the International Classification of Disease, 10th Version (ICD-10) administrative hospital discharge data and to determine whether there were improvements in the validity of coding for clinical conditions compared with ICD-9 Clinical Modification (ICD-9-CM) data.

METHODS

We reviewed 4,008 randomly selected charts for patients admitted from January 1 to June 30, 2003 at four teaching hospitals in Alberta, Canada to determine the presence or absence of 32 clinical conditions and to assess the agreement between ICD-10 data and chart data. We then re-coded the same charts using ICD-9-CM and determined the agreement between the ICD-9-CM data and chart data for recording those same conditions. The accuracy of ICD-10 data relative to chart data was compared with the accuracy of ICD-9-CM data relative to chart data.

RESULTS

Sensitivity values ranged from 9.3 to 83.1 percent for ICD-9-CM and from 12.7 to 80.8 percent for ICD-10 data. Positive predictive values ranged from 23.1 to 100 percent for ICD-9-CM and from 32.0 to 100 percent for ICD-10 data. Specificity and negative predictive values were consistently high for both ICD-9-CM and ICD-10 databases. Of the 32 conditions assessed, ICD-10 data had significantly higher sensitivity for one condition and lower sensitivity for seven conditions relative to ICD-9-CM data. The two databases had similar sensitivity values for the remaining 24 conditions.

CONCLUSIONS

The validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions was generally similar though validity differed between coding versions for some conditions. The implementation of ICD-10 coding has not significantly improved the quality of administrative data relative to ICD-9-CM. Future assessments like this one are needed because the validity of ICD-10 data may get better as coders gain experience with the new coding system.

摘要

目的

本研究的目的是评估《国际疾病分类》第10版(ICD - 10)医院行政出院数据的有效性,并确定与《国际疾病分类》第9版临床修订本(ICD - 9 - CM)数据相比,临床疾病编码的有效性是否有所提高。

方法

我们回顾了2003年1月1日至6月30日期间在加拿大艾伯塔省四家教学医院随机抽取的4008份患者病历,以确定32种临床疾病的有无,并评估ICD - 10数据与病历数据之间的一致性。然后我们使用ICD - 9 - CM对相同的病历重新编码,并确定ICD - 9 - CM数据与病历数据在记录这些相同疾病方面的一致性。将ICD - 10数据相对于病历数据的准确性与ICD - 9 - CM数据相对于病历数据的准确性进行比较。

结果

ICD - 9 - CM的灵敏度值范围为9.3%至83.1%,ICD - 10数据的灵敏度值范围为12.7%至80.8%。ICD - 9 - CM的阳性预测值范围为23.1%至100%,ICD - 10数据的阳性预测值范围为32.0%至100%。ICD - 9 - CM和ICD - 10数据库的特异性和阴性预测值一直都很高。在评估的32种疾病中,相对于ICD - 9 - CM数据,ICD - 10数据对一种疾病的灵敏度显著更高,对七种疾病的灵敏度更低。对于其余24种疾病,两个数据库的灵敏度值相似。

结论

ICD - 9 - CM和ICD - 10行政数据在记录临床疾病方面的有效性总体相似,尽管某些疾病的编码版本之间有效性存在差异。相对于ICD - 9 - CM,ICD - 10编码的实施并未显著提高行政数据的质量。由于随着编码人员对新编码系统获得经验,ICD - 10数据的有效性可能会提高,因此需要进行像这样的未来评估。

相似文献

2
How accurate is ICD coding for epilepsy?
Epilepsia. 2010 Jan;51(1):62-9. doi: 10.1111/j.1528-1167.2009.02201.x. Epub 2009 Jul 20.
4
Administrative data have high variation in validity for recording heart failure.
Can J Cardiol. 2010 Oct;26(8):306-12. doi: 10.1016/s0828-282x(10)70438-4.
5
Validating ICD coding algorithms for diabetes mellitus from administrative data.
Diabetes Res Clin Pract. 2010 Aug;89(2):189-95. doi: 10.1016/j.diabres.2010.03.007. Epub 2010 Apr 2.
6
Validity of information on comorbidity derived rom ICD-9-CCM administrative data.
Med Care. 2002 Aug;40(8):675-85. doi: 10.1097/00005650-200208000-00007.
7
Do coder characteristics influence validity of ICD-10 hospital discharge data?
BMC Health Serv Res. 2010 Apr 21;10:99. doi: 10.1186/1472-6963-10-99.
8
Improving discharge data fidelity for use in large administrative databases.
Neurosurg Focus. 2014 Jun;36(6):E2. doi: 10.3171/2014.3.FOCUS1459.
9
Comparison and validity of procedures coded With ICD-9-CM and ICD-10-CA/CCI.
Med Care. 2008 Jun;46(6):627-34. doi: 10.1097/MLR.0b013e3181649439.
10
Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates.
Health Serv Res. 2013 Feb;48(1):290-318. doi: 10.1111/j.1475-6773.2012.01440.x. Epub 2012 Jun 28.

引用本文的文献

1
Resignation in Working Women With Breast and Gynecologic Cancers.
JAMA Netw Open. 2025 Aug 1;8(8):e2528844. doi: 10.1001/jamanetworkopen.2025.28844.
2
The Effect of Bariatric Surgery on Hypertension Outcomes: A Retrospective Cohort Study.
J Hum Hypertens. 2025 Aug 20. doi: 10.1038/s41371-025-01063-z.
10
Assessing the validity of ICD-10 administrative data in coding comorbidities.
BMJ Health Care Inform. 2025 May 13;32(1):e101381. doi: 10.1136/bmjhci-2024-101381.

本文引用的文献

1
Quality of diagnosis and procedure coding in ICD-10 administrative data.
Med Care. 2006 Nov;44(11):1011-9. doi: 10.1097/01.mlr.0000228018.48783.34.
2
Accuracy of obstetric diagnoses and procedures in hospital discharge data.
Am J Obstet Gynecol. 2006 Apr;194(4):992-1001. doi: 10.1016/j.ajog.2005.08.058.
3
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.
Med Care. 2005 Nov;43(11):1130-9. doi: 10.1097/01.mlr.0000182534.19832.83.
4
Measuring diagnoses: ICD code accuracy.
Health Serv Res. 2005 Oct;40(5 Pt 2):1620-39. doi: 10.1111/j.1475-6773.2005.00444.x.
5
Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10.
Stroke. 2005 Aug;36(8):1776-81. doi: 10.1161/01.STR.0000174293.17959.a1. Epub 2005 Jul 14.
9
New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality.
J Clin Epidemiol. 2004 Dec;57(12):1288-94. doi: 10.1016/j.jclinepi.2004.03.012.
10
Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data.
Med Care. 2004 Apr;42(4):355-60. doi: 10.1097/01.mlr.0000118861.56848.ee.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验