Comparison of definitions for identifying urgent care centers in health insurance claims
Autor: | Hamad Al-Ibrahim, Sara E. Heins, Christine Buttorff |
---|---|
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
business.industry Computer science 030503 health policy & services Health Policy Public health Public Health Environmental and Occupational Health medicine.disease Health administration Terminology 03 medical and health sciences 0302 clinical medicine Healthcare settings Multiple criteria Health insurance medicine The Internet 030212 general & internal medicine Cpt codes Medical emergency 0305 other medical science business |
Zdroj: | Health Services and Outcomes Research Methodology. 21:229-237 |
ISSN: | 1572-9400 1387-3741 |
DOI: | 10.1007/s10742-020-00224-6 |
Popis: | Studies show increasing use of urgent care centers (UCCs) and there is interest in evaluating their potential for cost savings. Previous research provides limited information on generalizable methods of identifying urgent care centers and does not validate these methods. The objective of this study is to describe and validate two claims-based UCC definitions. We used FAIR Health insurance claims from 444,263 organization National Provider Identifiers (NPIs) with at least 10 claims, January 2016–March 2019 and merged this data with National Plan and Provider Enumeration System data. The first definition required (1) a UCC place of service code (POS), (2) ≥ 10% Current Procedure Terminology (CPT) codes specific to UCCs, or (3) a UCC taxonomy code in the primary field. The second definition relaxed these criteria. A random sample of 5% of NPIs identified as UCCs were validated through internet searches. Prevalence and positive predictive value (PPV) were calculated for both definitions. The first definition identified 6669 (1.5%) of NPIs as UCCs resulting in a PPV of 92%. The second definition identified 8261 (1.9%) of NPIs as UCCs and had a PPV of 87%. Out of NPIs identified under the first definition, 96% were identified using POS codes, 50% were identified using taxonomy codes, and 46% using CPT codes, with 62% of NPIs meeting multiple criteria. Findings suggest that these methods may be used by researchers to identify UCCs in studies of cost or utilization in different healthcare settings. |
Databáze: | OpenAIRE |
Externí odkaz: |