The DOI matches its Crossref record.
The accuracy of discharge diagnosis coding for Amyotrophic Lateral Sclerosis in a large teaching hospital
Abstract
To evaluate the accuracy of hospital discharge data as a source of Amyotrophic Lateral Sclerosis (ALS) cases for epidemiological studies or disease registries, a validation study was performed. All records of patients discharged in 2005 and 2006 with principal or secondary International Classification of Diseases, 9th rev., Clinical Modification (ICD 9 CM) diagnosis code of ALS (335.20), other anterior horn cell disease (335), spinal cord disease (336), hereditary and idiopathic peripheral neuropathy (356), inflammatory and toxic neuropathy (357), myoneural disorders (358), muscular dystrophies and myopathies (359), were selected from the electronic archive of discharge data of the University Hospital of Udine, Friuli Venezia Giulia Region, North East Italy. Corresponding clinical documentation was reviewed to ascertain the presence of El Escorial criteria, the gold standard. Sensitivity of the ICD 9 CM discharge code 335.20 was 93% (95%CI: 82-99%) and decreased to 91% (95%CI: 77-98%) when suspect ALS was excluded. Specificity was 99% (95%CI: 97-99%). The ICD 9 CM discharge code 335.20 can identify a high percentage of hospitalizations of patients truly affected by ALS and of patients with no ALS, among selected neurological diagnostic codes. To ensure complete ALS case ascertainment, prospective population-based registries or epidemiologic studies require active prospective surveillance and use of multiple sources, among them hospital discharge archives can provide accurate…
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“Furthermore, validation studies have shown that ICD codes for ALS are a valid diagnostic tool (27–30).”
From Severe head injury and amyotrophic lateral sclerosis (2013) · cites this paper as [30]
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Cited by
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Severe head injury and amyotrophic lateral sclerosis
Peters, T. L., Fang, F., Weibull, C. E., Sandler, D. P., Kamel, F., & Ye, W. (2013) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.3109/21678421.2012.754043 · Cited by 45
Metadata
- Authors
- Pisa, F. E., Verriello, L., Deroma, L., Drigo, D., Bergonzi, P., Gigli, G. L., & Barbone, F.
- Affiliations
- University of Udine (IT)
- Corresponding author
- Pisa, Federica Edith
- Venue
- European Journal of Epidemiology
- Published
- 2009-08-06
- Volume
- 24
- Issue
- 10
- Pages
- 635-640
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- OpenAlex
- W1973892845
- Cited by
- 28
- References
- 0
- Citations by year
- 2024: 3 · 2020: 2 · 2019: 1 · 2017: 2 · 2016: 2 · 2015: 5 · 2014: 3 · 2013: 3 · 2012: 1
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System (University of Udine) (submittedVersion)
- ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) (submittedVersion)
- Funders
- Regione Autonoma Friuli Venezia Giulia
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- amyotrophic lateral sclerosis, ICD-9-CM, case ascertainment, hospital discharge data, El Escorial criteria, diagnostic accuracy, sensitivity and specificity, disease registries
- MeSH terms
- Amyotrophic Lateral Sclerosis, Forms and Records Control, Hospitals, Teaching, Humans, Italy, Medical Records, Patient Discharge, Predictive Value of Tests, Registries, Sensitivity and Specificity, Reproducibility of Results, International Classification of Diseases
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