Accuracy of the ICD-9 codes for identifying TIA and stroke in an Italian automated database

Leone, Maurizio; Capponi, Andrea; Varrasi, Claudia; Tarletti, Roberto; Monaco, Francesco

doi:10.1007/s10072-004-0355-8

Cited by 26 publications

(60 citation statements)

References 7 publications

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“…The differences in rates could also affect the estimate of impact on disease rate in the post-vaccine era if pre-and postrates are obtained by different methodologies, coding practices change to meet new payment opportunities, or new more clinically effective coding schemes are introduced that allow prefixes such as ''rule out.'' Differences in disease estimates and complication rates from administrative data and administrative data supplemented by medical record data have been reported previously for numerous medical conditions, including some small studies of HZ (4,8,27,(36)(37)(38)(39)(40)(41). In all instances, administrative data estimates are significantly higher.…”

Section: Discussionmentioning

confidence: 61%

Comparing Shingles Incidence and Complication Rates From Medical Record Review and Administrative Database Estimates: How Close Are They?

Yawn¹,

Wollan²,

Sauver³

2011

American Journal of Epidemiology

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Accurate rates of herpes zoster incidence and complication have become of greater interest as studies have suggested an increasing temporal trend in incidence rates across all age groups and long-term follow-up studies of vaccine effectiveness are required by the Food and Drug Administration. This study compares the results obtained from the most commonly used method to obtain herpes zoster data (rates obtained from administrative data) with results obtained when administrative data are supplemented by medical record review. Administrative billing code data identified 1,959 cases of herpes zoster in Olmsted County, Minnesota, adults between January 1, 1996, and December 31, 2001. Of those 1,959 cases, 1,669 (85.2%) could be confirmed by medical record review, a decrease in incidence rate of 14.8%, resulting in a decrease of 0.61/1,000 person-years when adjusted to the US adult population. Complication rates were also significantly different between the 2 methods. It is not clear if the 15% decrease in incidence rates would be seen in every administrative data set or if the lack of confirmation of cases may be variable in both validity and reproducibility between data sets, making estimations in temporal trends and pre/post-vaccine rates difficult to compare across data resources.

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Section: Discussionmentioning

confidence: 61%

Comparing Shingles Incidence and Complication Rates From Medical Record Review and Administrative Database Estimates: How Close Are They?

Yawn¹,

Wollan²,

Sauver³

2011

American Journal of Epidemiology

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“…In a previous study, sensitivity and positive predictive values for primary diagnosis of ICD-9-CM code 435, TIA was 75% and 80%, respectively. 18 A small proportion of patients with TIA mimics are coded as TIA. 19 The DRG system has been used in previous studies pertaining to costs and length of stay of stroke patients.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated With Length of Hospitalization in Patients Admitted With Transient Ischemic Attack in United States

Qureshi

Adil

Zacharatos

et al. 2013

Stroke

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Background and Purpose-Approximately 70% of all patients presenting with transient ischemic attack are admitted to the hospital in United States. The duration and cost of hospitalization and associated factors are poorly understood. This article seeks to identify the proportion and determinants of prolonged hospitalization and to determine the impact on hospital charges using nationally representative data. Methods-We determined the national estimates of length of stay, mortality, and charges incurred in patients admitted with transient ischemic attack (diagnosis-related code 524 or 069) using Nationwide Inpatient Sample data from 2002 to 2010. Nationwide Inpatient Sample is the largest all-payer inpatient care database in the United States and contains data from ≈1000 hospitals, which is a 20% stratified sample of US community hospitals. All the variables pertaining to hospitalization were compared in 3 groups on the basis of length of hospital stay (≤1, 2-6, and ≥7 days). Results-A total of 949 558 patients were admitted with the diagnosis of transient ischemic attack during the study period.The length of hospitalization was ≤1, 2 to 6, and ≥7 days in 232 732 (24.4%), 662 909 (70%), and 53 917 (5.6%) patients, respectively. The mean hospitalization charges were $10 876, $17 187, and $38 200 for patients hospitalized for ≤1, 2 to 6, and ≥7 days, respectively. The use of thrombolytics (0.03%, 0.09%, and 0.1%; P<0.0001) for ischemic stroke was very low among the 3 strata defined by length of hospitalization. In the multivariate analysis, the following factors were associated with length of hospitalization of ≥2 days: age >65 years (odds ratio [OR], 1.5), women (OR, 1.2), admission to teaching hospitals (OR, 1

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“…The fact that we included TIA may have decreased coding error because TIA is included in ischemic cerebrovascular syndromes, and recent changes in the definition of TIA according to the duration of the event and the results of the cerebral imaging may lead to changes in the diagnosis [26] . For this study, TIA was selected based on the WHO definition with a duration of less than 24 h.…”

Section: Discussionmentioning

confidence: 99%

Positive Predictive Value of French Hospitalization Discharge Codes for Stroke and Transient Ischemic Attack

Giroud

Hommel²,

Benzenine³

et al. 2015

Eur Neurol

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Background: We aimed at measuring the positive predictive value (PPV) of data in the French Hospital Medical Information Database (FHD). Summary: This retrospective multicenter study included 31 hospitals from where 56 hospital stays were randomly selected among all hospitalizations for the years 2009 and 2010 with at least 1 principal diagnosis of stroke or transient ischemic attack (TIA). Three algorithms were evaluated. Algorithm 1 selected discharge abstracts with at least 1 principal diagnosis identified by one of the relevant International Classification of Diseases, 10th revision codes. Algorithm 2 selected stays with 1 principal diagnosis of the whole stay, but without the dates of the stay. Algorithm 3 took into account the kind of medical wards. The PPV of each algorithm was calculated using medical records as the reference. We found 1,669 discharge abstracts with a diagnosis of stroke among the 1,680 that were randomly selected. The neurologist's review revealed 196 false-positive cases providing a global PPV of 88.26% for algorithm 1, 89.96% for algorithm 2 and 92.74% for algorithm 3. Key Messages: It was possible to build an algorithm to optimize the FHD for stroke and TIA reporting, with a PPV at 90%. The FHD could be a good tool to measure the burden of stroke in France.

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Accuracy of the ICD-9 codes for identifying TIA and stroke in an Italian automated database

Cited by 26 publications

References 7 publications

Comparing Shingles Incidence and Complication Rates From Medical Record Review and Administrative Database Estimates: How Close Are They?

Comparing Shingles Incidence and Complication Rates From Medical Record Review and Administrative Database Estimates: How Close Are They?

Factors Associated With Length of Hospitalization in Patients Admitted With Transient Ischemic Attack in United States

Positive Predictive Value of French Hospitalization Discharge Codes for Stroke and Transient Ischemic Attack

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