Literature DB >> 24712395

The validity of the diagnostic code for hidradenitis suppurativa in an electronic database.

G E Kim1, J Shlyankevich, A B Kimball.   

Abstract

BACKGROUND: Electronic claims and medical record databases are important sources of information for medical research. However, potential sources of error and bias, including inaccurate diagnoses, incomplete data, incorrect data entry and misclassification bias, necessitate studies that assess the validity of these databases.
OBJECTIVES: To assess the validity of the diagnostic code for hidradenitis suppurativa (HS), which is an increasingly studied disease.
METHODS: In this retrospective study, the medical records of 1168 patients in the Massachusetts General Hospital database who had received at least two International Classification of Diseases, Ninth Revision 705·83 codes were manually screened.
RESULTS: Of the screened patients, 1046 (89·6%) were confirmed as having HS. The mean age ± SD was 44·0 ± 15·7 years, the median age was 43·0 years and 748 (71·5%) were female. The majority were white (66·7%), while a significant minority were black (13·9%) or Hispanic (13·4%). An increasing number of codes and specific terms used to describe HS in the medical record, including 'hydradenitis', 'boil', 'draining', 'abscess', 'fistula', 'cyst' and 'nodule', could be used to improve the positive predictive value of the search.
CONCLUSION: Our results highlight the importance of establishing the validity of diagnostic codes in electronic databases, and allow for refinements of appropriate ways to design future searches. Given the potential for misclassification of patients with HS, establishing the validity of diagnostic codes and search strategies in electronic databases represents a crucial step for subsequent studies utilizing these databases.
© 2014 British Association of Dermatologists.

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Year:  2014        PMID: 24712395      PMCID: PMC4219870          DOI: 10.1111/bjd.13041

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  11 in total

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