Literature DB >> 11079616

The accuracy of myocardial infarction diagnosis in medical insurance claims. Korean Research Group for Cardiovascular Disease Prevention and Control.

S Y Ryu1, J K Park, I Suh, S H Jee, J Park, C B Kim, K S Kim.   

Abstract

We attempted to assess the accuracy of the International Classification of Diseases (ICD) codes for myocardial infarction (MI) in medical insurance claims, and to investigate the reasons for any inaccuracy. This study was designed as a preliminary study to establish a surveillance system for cardiovascular diseases in Korea. A sample of 258 male patients who were diagnosed with MI from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 183,461 people). The registered medical record administrators were trained in the survey technique, and gathered data by investigating the medical records of the study subjects from March 1999 to May 1999. The definition of MI for this study included symptoms pursuant to the diagnostic criteria of chest pain, electrocardiogram (ECG) findings, cardiac enzyme and results of coronary angiography or nuclear scan. We asked the record administrators for the reasons of incorrectness for cases where the final diagnosis was 'not MI'. The accuracy rate of the ICD codes for MI in medical insurance claims was 76.0% (196 cases) of the study sample, and 3.9% (ten cases) of the medical records were not available due to hospital closures, non-computerization or missing information. Nineteen cases (7.4%) were classified as insufficient due to insufficient records of chest pain, ECG findings, or cardiac enzymes. The major reason of inaccuracy in the disease code for MI in medical insurance claims was 'to meet the review criteria of medical insurance benefits (45.5%)'. The department responsible for the inaccuracy was the department of inspection for medical insurance benefit of the hospitals.

Entities:  

Mesh:

Year:  2000        PMID: 11079616     DOI: 10.3349/ymj.2000.41.5.570

Source DB:  PubMed          Journal:  Yonsei Med J        ISSN: 0513-5796            Impact factor:   2.759


  5 in total

1.  Socioeconomic status and cardiovascular disease among men: the Korean national health service prospective cohort study.

Authors:  Yun-Mi Song; Robert L Ferrer; Sung-il Cho; Joohon Sung; Shah Ebrahim; George Davey Smith
Journal:  Am J Public Health       Date:  2006-01       Impact factor: 9.308

2.  Medicaid expenditures for children with autistic spectrum disorders: 1994 to 1999.

Authors:  David S Mandell; Jun Cao; Richard Ittenbach; Jennifer Pinto-Martin
Journal:  J Autism Dev Disord       Date:  2006-05

3.  Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates.

Authors:  Amy Metcalfe; Annabelle Neudam; Samantha Forde; Mingfu Liu; Saskia Drosler; Hude Quan; Nathalie Jetté
Journal:  Health Serv Res       Date:  2012-06-28       Impact factor: 3.402

4.  Declining accuracy in disease classification on health insurance claims: should we reconsider classification by principal diagnosis?

Authors:  Etsuji Okamoto
Journal:  J Epidemiol       Date:  2010-01-09       Impact factor: 3.211

5.  Five-Year Risk of Acute Myocardial Infarction After Acute Ischemic Stroke in Korea.

Authors:  Keon-Joo Lee; Seong-Eun Kim; Jun Yup Kim; Jihoon Kang; Beom Joon Kim; Moon-Ku Han; Kang-Ho Choi; Joon-Tae Kim; Dong-Ick Shin; Jae-Kwan Cha; Dae-Hyun Kim; Dong-Eog Kim; Wi-Sun Ryu; Jong-Moo Park; Kyusik Kang; Jae Guk Kim; Soo Joo Lee; Mi-Sun Oh; Kyung-Ho Yu; Byung-Chul Lee; Hong-Kyun Park; Keun-Sik Hong; Yong-Jin Cho; Jay Chol Choi; Sung Il Sohn; Jeong-Ho Hong; Moo-Seok Park; Tai Hwan Park; Sang-Soon Park; Kyung Bok Lee; Jee-Hyun Kwon; Wook-Joo Kim; Jun Lee; Ji Sung Lee; Juneyoung Lee; Philip B Gorelick; Hee-Joon Bae
Journal:  J Am Heart Assoc       Date:  2020-12-29       Impact factor: 5.501

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.