Asset Details
Do you wish to reserve the book?
Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery
Do you wish to request the book?
Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery
2025
Overview
ObjectivesAdministrative database research is pivotal for developing guidelines in cardiovascular surgery and valvular heart disease. However, validation studies specific to Asia are lacking. This study validated the coding of valvular heart repair and replacement surgeries in Taiwan’s National Health Insurance (NHI) Research Database using International Classification of Diseases, Clinical Modification (ICD-CM) codes.MethodsThis retrospective observational study used data from the Chang Gung Research Database between 2015 and 2018, identifying 1171 patients using Taiwanese NHI reimbursement codes. The gold standard was defined as a blinded retrospective review of operation notes. Claims data, including ICD diagnostic codes, ICD procedural codes and NHI supply codes for surgical materials, were validated. Positive predictive values (PPVs) were calculated as the number of true positives divided by the total claims data.ResultsThe PPVs (95% CI) for aortic valve (AV) surgery aetiologies were as follows: infectious endocarditis (IE), 94.1% (87.6%–97.7%); rheumatic heart disease (RHD), 88.2% (67.3%–97.5%); bicuspid AV, 93.3% (83.3%–98.1%); and degeneration, 91.7% (85.3%–95.8%). For mitral valve surgery, the surgery aetiologies and PPVs were IE, 93.2% (87.9%–96.6%); RHD, 94.9% (88.3%–98.2%); ischaemic mitral regurgitation, 87.5% (73.0%–95.6%); and degeneration, 88.4% (83.9%–92.0%). Surgical types generally exhibited higher PPVs, except for mechanical prostheses (<90%). The accuracy of mechanical prosthesis identification improved with the inclusion of supply codes along with ICD procedural codes.ConclusionsThe PPVs for both aetiologies and surgical types of valvular heart disease were generally satisfactory. The inclusion of supply codes for mechanical valve replacements enhanced accuracy but led to fewer eligible patients being included in the sample. This study provides a potentially optimal framework for future research on valve diseases and surgeries using claims databases.
Publisher
British Medical Journal Publishing Group,BMJ Publishing Group LTD,BMJ Publishing Group
