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Payer database and geospatial analysis to evaluate practice patterns in treating allergy in North Carolina.
Am J Otolaryngol 2018 Jan - Feb; 39(1):20-24AJ

Abstract

OBJECTIVE

The objective of this study was to characterize the delivery of allergy care in North Carolina using a large payer charge database and visualization techniques.

STUDY DESIGN

Geospatial database analysis.

SETTING

North Carolina State claims database.

SUBJECTS & METHODS

Medical data from the 2013 FAIR Health National Private Insurance Claims (FH NPIC) database for North Carolina was mined for CPT codes and charges for allergy testing, and for the preparation and provision of allergen immunotherapy. Provider and patient variables were analyzed. Analyses were performed to compare differences in allergy care delivery. A visualization strategy complemented the analytic approach.

RESULTS

162,037 CPT charge entries were analyzed. Allergy-immunology specialists were the most common provider specialty to perform allergy immunotherapy treatments (68.9%, p<0.05). Among other specialties, there were no significant differences between specialists performing immunotherapy when comparing otolaryngology, family practice, and internal medicine (16.3%; 4.6%; 2.6%; p>0.05). Providers with an M.D. degree were the most common provider type. The three most commonly treated diagnoses were allergic rhinitis variants. Females were more likely to receive allergy treatments versus males (55.9% vs. 51.5%; p<0.001), and were more likely to receive allergy testing (65.3% vs. 34.7%: p<0.005). Internal medicine providers charged higher than any other specialist type (p<0.05) for allergy immunotherapy.

CONCLUSIONS

Using a large payer database coupled with visualization techniques was an efficient approach to characterizing the state-wide provision patterns of allergy diagnostic and therapy services in North Carolina. This first tier approach to efficiently exploring questions and describing populations is valuable.

Authors+Show Affiliations

Division of Head & Neck Surgery and Communication Sciences, Duke Voice Care Center, Duke University Medical Center, Durham, NC, USA. Electronic address: matthew.crowson@dm.duke.edu.Division of Head & Neck Surgery and Communication Sciences, Duke Voice Care Center, Duke University Medical Center, Durham, NC, USA.SynGlyphX Holdings Inc., Arlington, VA, USA.Division of Head & Neck Surgery and Communication Sciences, Duke Voice Care Center, Duke University Medical Center, Durham, NC, USA.

Pub Type(s)

Evaluation Studies
Journal Article

Language

eng

PubMed ID

29031937

Citation

Crowson, Matthew G., et al. "Payer Database and Geospatial Analysis to Evaluate Practice Patterns in Treating Allergy in North Carolina." American Journal of Otolaryngology, vol. 39, no. 1, 2018, pp. 20-24.
Crowson MG, Schulz K, Ulvila A, et al. Payer database and geospatial analysis to evaluate practice patterns in treating allergy in North Carolina. Am J Otolaryngol. 2018;39(1):20-24.
Crowson, M. G., Schulz, K., Ulvila, A., & Witsell, D. L. (2018). Payer database and geospatial analysis to evaluate practice patterns in treating allergy in North Carolina. American Journal of Otolaryngology, 39(1), pp. 20-24. doi:10.1016/j.amjoto.2017.10.004.
Crowson MG, et al. Payer Database and Geospatial Analysis to Evaluate Practice Patterns in Treating Allergy in North Carolina. Am J Otolaryngol. 2018;39(1):20-24. PubMed PMID: 29031937.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Payer database and geospatial analysis to evaluate practice patterns in treating allergy in North Carolina. AU - Crowson,Matthew G, AU - Schulz,Kristine, AU - Ulvila,Alex, AU - Witsell,David L, Y1 - 2017/10/10/ PY - 2017/05/11/received PY - 2017/10/08/accepted PY - 2017/10/17/pubmed PY - 2018/8/11/medline PY - 2017/10/17/entrez KW - Allergy KW - Health care delivery KW - Health services KW - Otolaryngology SP - 20 EP - 24 JF - American journal of otolaryngology JO - Am J Otolaryngol VL - 39 IS - 1 N2 - OBJECTIVE: The objective of this study was to characterize the delivery of allergy care in North Carolina using a large payer charge database and visualization techniques. STUDY DESIGN: Geospatial database analysis. SETTING: North Carolina State claims database. SUBJECTS & METHODS: Medical data from the 2013 FAIR Health National Private Insurance Claims (FH NPIC) database for North Carolina was mined for CPT codes and charges for allergy testing, and for the preparation and provision of allergen immunotherapy. Provider and patient variables were analyzed. Analyses were performed to compare differences in allergy care delivery. A visualization strategy complemented the analytic approach. RESULTS: 162,037 CPT charge entries were analyzed. Allergy-immunology specialists were the most common provider specialty to perform allergy immunotherapy treatments (68.9%, p<0.05). Among other specialties, there were no significant differences between specialists performing immunotherapy when comparing otolaryngology, family practice, and internal medicine (16.3%; 4.6%; 2.6%; p>0.05). Providers with an M.D. degree were the most common provider type. The three most commonly treated diagnoses were allergic rhinitis variants. Females were more likely to receive allergy treatments versus males (55.9% vs. 51.5%; p<0.001), and were more likely to receive allergy testing (65.3% vs. 34.7%: p<0.005). Internal medicine providers charged higher than any other specialist type (p<0.05) for allergy immunotherapy. CONCLUSIONS: Using a large payer database coupled with visualization techniques was an efficient approach to characterizing the state-wide provision patterns of allergy diagnostic and therapy services in North Carolina. This first tier approach to efficiently exploring questions and describing populations is valuable. SN - 1532-818X UR - https://www.unboundmedicine.com/medline/citation/29031937/Payer_database_and_geospatial_analysis_to_evaluate_practice_patterns_in_treating_allergy_in_North_Carolina L2 - https://linkinghub.elsevier.com/retrieve/pii/S0196-0709(17)30364-2 DB - PRIME DP - Unbound Medicine ER -