Using ICD-9-CM Codes in Hospital Claims Data to Detect Adverse Events in Patient Safety Surveillance

نویسندگان

  • Paul Hougland
  • Jonathan Nebeker
  • Steve Pickard
  • Mark Van Tuinen
  • Susan Elder
  • Scott Williams
چکیده

Background: Adverse events (AEs) are significant and common sources of harm to inpatients. International Classification of Diseases, 9 Revision, Clinical Modification (ICD-9-CM) codes, assigned to virtually all inpatient discharges, could provide a readily available surveillance system capable of detecting a variety of AEs. Objectives: To determine the positive predictive value (PPV) of selected ICD-9-CM codes (flagged codes) in identifying inpatient AEs and AEs causing admission to the hospital. Methods: Samples were drawn from two distinct patient groups in calendar years 2001 and 2003: 7,070 inpatients from all acute care hospitals in Utah and 6,895 surgical inpatients from selected hospitals in Missouri. Structured chart review and abstraction identified all AEs and whether a flagged ICD-9-CM code represented an AE. AE codes were grouped into six categories to facilitate analysis: adverse drug events, surgical adverse events, misadventures, infections, device events, and other adverse events. Results: Among all inpatients, 4,416 of 11,619 flagged codes represented AEs (38 percent); 1,789 of the flagged codes were inpatient AEs (15 percent). Flagged code PPVs were higher for surgical inpatients, with 11,990 of 16,816 flagged codes representing AEs (74 percent), and 7,507 codes (46 percent) indicating inpatient AEs. There was wide variability among AE PPV categories, both for all inpatients (15 77 percent) and surgical inpatients (62 92 percent). Conclusions: Flagged AE codes were consistently more likely to indicate AEs in surgical inpatients than in all inpatient types. Given this, and the striking performance differences within and among AE code categories, ICD-9-CM codes are best suited to targeted AE surveillance.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM

Reporting of hospital adverse events relies on Patient Safety Indicators (PSIs) using International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) codes. The US transition to ICD-10-CM in 2015 could result in erroneous comparisons of PSIs. Using the General Equivalent Mappings (GEMs), we compared the accuracy of ICD-9-CM coded PSIs against recommended ICD-10-CM code...

متن کامل

Surveillance of Surgery-related Adverse Events in Missouri Using ICD-9-CM Codes

Objectives: This study estimated the validity of 23 groups of codes in the International Classification of Diseases, 9 revision, Clinical Modification (ICD9-CM or ICD), for flagging adverse events (AEs) related to hospital surgeries. Methods: A set of ICD codes selected as “flags” for in-hospital AEs were developed with the assistance of a national expert panel. The codes were grouped into 66 A...

متن کامل

Medical Injury Identification Using Hospital Discharge Data

Objective: Determine the feasibility of using routinely collected hospital data for medical injury surveillance. Methods: The development, validation, and testing of screening criteria for medical injury was based on International Classification of Disease code discharge diagnoses, using 2001 patient data from Wisconsin hospitals. Outcomes included sensitivity; specificity; rate of medical inju...

متن کامل

Performance of International Classification Of Diseases, 9th Revision, Clinical Modification codes as an adverse drug event surveillance system.

BACKGROUND Adverse drug events (ADEs) are one of the most frequent causes of iatrogenic injury. Because International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes are routinely assigned to inpatient discharges, they could provide a method to detect ADEs within a hospital, a state, and the nation. OBJECTIVE The objective of this study was to determine validi...

متن کامل

Validating the patient safety indicators in the Veterans Health Administration: do they accurately identify true safety events?

BACKGROUND The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSIs) use administrative data to detect potentially preventable in-hospital adverse events. However, few studies have determined how accurately the PSIs identify true safety events. OBJECTIVES We examined the criterion validity, specifically the positive predictive value (PPV), of 12 selected PSIs usin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008