2014
DOI: 10.1111/bjd.13041
|View full text |Cite
|
Sign up to set email alerts
|

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

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. Objective 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 re… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

3
41
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 41 publications
(44 citation statements)
references
References 12 publications
3
41
0
Order By: Relevance
“…Other studies not using a hospital-based population reported M:F ratios ranging from 1: 2.5 to 1: 4 [3,[21][22][23][24][25] . These differences support that our hospital-based population had more severe forms of HS as its severity seems to be associated with male sex [3,22] .…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…Other studies not using a hospital-based population reported M:F ratios ranging from 1: 2.5 to 1: 4 [3,[21][22][23][24][25] . These differences support that our hospital-based population had more severe forms of HS as its severity seems to be associated with male sex [3,22] .…”
Section: Discussionmentioning
confidence: 97%
“…HS is still a not well-known disease among the non-dermatologists, with a difficult clinic-based diagnosis, which can lead to an underestimation of the hospitalised HS. On the other hand, Kim et al [25] described that only 90% of the patients with the diagnosis of HS in electronic databases actually have the disease, which could lead to an overestimation of the disease. Additionally, comorbidities or risk factors are often underreported or misclassified.…”
Section: Discussionmentioning
confidence: 99%
“…This review resulted in 1,776 verified cases of HS, yielding a PPV of 77% for the use of the diagnosis to predict HS. In a second study, Kimball and colleagues [7] chart-validated 1,168 cases receiving at least two 705.83 codes from within a clinical database. The PPV of 2 HS codes was 81.8%, similar in value to the PPV observed for 1 code in their prior study as well as to the findings reported herein.…”
Section: Discussionmentioning
confidence: 99%
“…A recent report validated the International Classification of Diseases, Ninth Revision (ICD-9) code for HS (705.83) by chart-validating a total of 1168 cases that received at least two 705.83 codes from a large, managed patient care database. 14 The positive predictive value increased from 82% with 2 codes to 95% with 5 or more codes. Building on the work completed by Kim et al, 14 the purpose of this study was to complete the chart verification of all patients who received at least 1 code for HS in a large patient care database, describe the prevalence of this disease, and compare the comorbidity burden with a matched control population.…”
mentioning
confidence: 97%
“…14 The positive predictive value increased from 82% with 2 codes to 95% with 5 or more codes. Building on the work completed by Kim et al, 14 the purpose of this study was to complete the chart verification of all patients who received at least 1 code for HS in a large patient care database, describe the prevalence of this disease, and compare the comorbidity burden with a matched control population. Charts were reviewed by a trained medical student and research fellow.…”
mentioning
confidence: 97%