| Title |
Validation of an administrative claims-based diagnostic code for pneumonia in a US-based commercially insured COPD population
|
|---|---|
| Published in |
International Journal of Chronic Obstructive Pulmonary Disease, July 2015
|
| DOI | 10.2147/copd.s83135 |
| Pubmed ID | |
| Authors |
David M Kern, Jill Davis, Setareh A Williams, Ozgur Tunceli, Bingcao Wu, Sally Hollis, Charlie Strange, Frank Trudo |
| Abstract |
To estimate the accuracy of claims-based pneumonia diagnoses in COPD patients using clinical information in medical records as the reference standard. Selecting from a repository containing members' data from 14 regional United States health plans, this validation study identified pneumonia diagnoses within a group of patients initiating treatment for COPD between March 1, 2009 and March 31, 2012. Patients with ≥1 claim for pneumonia (International Classification of Diseases Version 9-CM code 480.xx-486.xx) were identified during the 12 months following treatment initiation. A subset of 800 patients was randomly selected to abstract medical record data (paper based and electronic) for a target sample of 400 patients, to estimate validity within 5% margin of error. Positive predictive value (PPV) was calculated for the claims diagnosis of pneumonia relative to the reference standard, defined as a documented diagnosis in the medical record. A total of 388 records were reviewed; 311 included a documented pneumonia diagnosis, indicating 80.2% (95% confidence interval [CI]: 75.8% to 84.0%) of claims-identified pneumonia diagnoses were validated by the medical charts. Claims-based diagnoses in inpatient or emergency departments (n=185) had greater PPV versus outpatient settings (n=203), 87.6% (95% CI: 81.9%-92.0%) versus 73.4% (95% CI: 66.8%-79.3%), respectively. Claims-diagnoses verified with paper-based charts had similar PPV as the overall study sample, 80.2% (95% CI: 71.1%-87.5%), and higher PPV than those linked to electronic medical records, 73.3% (95% CI: 65.5%-80.2%). Combined paper-based and electronic records had a higher PPV, 87.6% (95% CI: 80.9%-92.6%). Administrative claims data indicating a diagnosis of pneumonia in COPD patients are supported by medical records. The accuracy of a medical record diagnosis of pneumonia remains unknown. With increased use of claims data in medical research, COPD researchers can study pneumonia with confidence that claims data are a valid tool when studying the safety of COPD therapies that could potentially lead to increased pneumonia susceptibility or severity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Master | 6 | 11% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 36% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Economics, Econometrics and Finance | 3 | 6% |
| Mathematics | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 15 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#2,078
of 2,577 outputs
Outputs of similar age
#202,786
of 277,613 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#62
of 79 outputs
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