Nicole Rafalko , Scott Siegel , Paul Yerkes , Jan M. Eberth , Igor Burstyn , Neal D. Goldstein
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引用次数: 0
Abstract
Purpose
To validate the National Provider Identifier (NPI), a commonly used data source in health services research, for identifying primary care physicians, physician assistants (PAs), and nurse practitioners (NPs).
Methods
Validation studies to calculate the sensitivity, specificity, and associated 95 % confidence intervals for physicians, PAs, and NPs. For physicians, Medicare claims data were used as an imperfectly measured referent standard. For PAs and NPs, we used a simulation-based method to estimate accuracy parameters that assumed the NPI and Medicare claims were equally misclassified.
Results
Using the Medicare claims as the referent standard for physicians yielded a sensitivity and specificity of 0.95 (95 % CI: 0.88, 0.98) and 0.76 (95 % CI: 0.73, 0.79), respectively. Using the simulation-based method yielded a sensitivity and specificity of 0.57 (95 % CrI: 0.11, 0.97) and 0.56 (95 % CrI: 0.10, 0.96), respectively for PAs and 0.58 (95 % CrI: 0.13, 0.97) and 0.61 (95 % CrI: 0.14, 0.97), respectively for NPs.
Conclusions
Our validation results varied by provider role. Accuracy was highest for physicians further highlighting the challenges in quantifying PAs and NPs based on their NPI alone. Failure to consider potential misclassification in the NPI may result in biased research findings.
期刊介绍:
The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.