Performance of International Classification of Diseases, 9th Revision, Clinical Modification Codes as an Adverse Drug Event Surveillance System
Bibliographic Data
| ID | 9103098 |
|---|---|
| Authors | Paul Hougland (Utah Department of Health, corresponding author), Wu Xu (0000-0002-2982-3276, Utah Department of Health, corresponding author), Steve Pickard (Utah Department of Health, corresponding author), Carol Masheter (Utah Department of Health, corresponding author), S D Williams (0000-0002-6161-1986, Utah Department of Health, corresponding author) |
| Year | 2006 |
| Volume | 44 |
| Issue | 7 |
| Pages | 629-636 |
| Publication date | 2006-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/01.mlr.0000215859.06051.77 |
| PMID | 16799357 |
| OpenAlex | W2104374197 |
| Language | EN |
| Citations received | 5 |
| References cited | 15 |
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 validity of selected ICD-9-CM codes in identifying inpatient ADEs. RESEARCH DESIGN: An expert panel identified 416 ICD-9-CM codes to represent ADEs (flagged ADE codes). Retrospective chart review using a structured tool was performed to ascertain code performance in detecting ADEs. SUBJECTS: Subjects included 3103 inpatients from all 41 acute care hospitals in Utah in 2001: 1961 inpatients sampled randomly (random sample) and 1142 inpatients sampled from the discharge records with at least one flagged ADE code (flagged sample). MEASURES: Measures were ADEs identified by structured review. RESULTS: The flagged sample yielded 1122 flagged ADE codes recorded in patient charts with 704 representing ADEs (63%). Two hundred eighty-six of the 704 verified ADE codes (41%) were determined to be inpatient ADEs. In the random sample, 32 of 58 ADEs (55%) causing hospital admission were detected by the ADE-flagged codes. Only 23 of 224 inpatient ADEs had been assigned a flagged ADE code (10%). CONCLUSIONS: Flagged ADE codes have an overall positive predictive value of 63% and detect just over half of ADEs causing hospital admission. These codes have a positive predictive value of 25% for inpatient ADEs but detect only 10% of overall inpatient ADEs. Flagged ADE codes provide an imperfect but immediately available ADE surveillance system
Adverse drug event · Adverse effect · Adverse Event Reporting System · Drug · Event (particle physics) · Intensive care medicine · Computer Science · Medical Coding and Health Information · Medicine · Patient Safety and Medication Errors · Pharmacology · Pharmacovigilance and Adverse Drug Reactions
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,26 |
| Citation span | 2007 - 2018 (12) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |