Predictors of regional Medicare expenditures for otolaryngology physician services

Trends in Nasal Spray Prescribing Patterns by Otolaryngologists in the US Medicare Population

OBJECTIVES

To quantify national and state-level prescribing and cost trends for the 3 most prescribed nasal sprays by otolaryngologists in the Medicare population.

METHODS

Through the Centers for Medicare and Medicaid Services (CMS) database and the Kaiser Family Foundation, we retrieved data on Medicare enrollment and on claims and costs of fluticasone propionate, azelastine HCl, and ipratropium bromide prescribed by otolaryngologists from January 1, 2013 to December 31, 2017.

RESULTS

From 2013 to 2017, CMS reimbursed $128.8 million for 5.2 million claims of fluticasone propionate, azelastine HCl, and ipratropium bromide prescribed by otolaryngologists. The national claim rate for fluticasone propionate increased 6.5% per year from 2013 to 2015 and then decreased 4.3% per year from 2015 to 2017 while azelastine HCl and ipratropium bromide consistently increased annually (19.0% and 12.2% respectively) from 2013 to 2017. The cost for fluticasone propionate decreased 33.0% a year from 2013 to 2015 and then increased 5.4% annually to $13.60 per claim in 2017. Azelastine HCl decreased 14.8% annually from $91.30 to $50.23 per claim and ipratropium bromide increased 5.2% annually to $34.78 in 2017. Variations in the claim rate and cost for all 3 nasal sprays were observed in some states.

CONCLUSIONS

Otolaryngologists are prescribing azelastine HCl and ipratropium at an increasingly higher rate in the Medicare population, while the rate for fluticasone propionate has been decreasing nationally. Utilization and costs of nasal sprays also vary geographically across the United States.

Geographic Heterogeneity in Otolaryngology Medicare New Patient Visits

Objective

To analyze the spatial variation of sociodemographic factors associated with the geographic distribution of new patient visits to otolaryngologists.

Study Design

Retrospective cross-sectional analysis.

Setting

United States.

Subject and Methods

Medicare new patient visits pooled from 2012 to 2016 to otolaryngology providers were obtained from the Centers for Medicare and Medicaid Services, and county-level sociodemographic data were obtained from the 2012-2016 American Community Survey. The mean number of new patient visits per otolaryngology provider by county was calculated. The spatial variation was analyzed with negative binomial and geographically weighted regression. Predictors included various neighborhood characteristics.

Results

There were 7,199,129 Medicare new patient visits to otolaryngology providers from 2012 to 2016. A 41.7-fold difference in new patient evaluation rates was observed across US counties (range, 11-458.8 per otolaryngology provider). On multivariable regression analysis, median age, sex, work commute time, percentage insured, and the advantage index of a county were predictors for the rate of new patient visits to otolaryngology providers. However, geographically weighted regression demonstrated that the association of a county’s disadvantage index, advantage index, percentage insured, and work commute times with new patient visits per provider varied across space.

Conclusions

There are wide geographic differences in the number of new Medicare patients seen by otolaryngologists, and the influence of county sociodemographic factors varied regionally. Further research to analyze the variations in practice patterns of otolaryngologists is warranted to predict future public health needs.

Juvenile Nasopharyngeal Angiofibroma Outcomes and Cost: Analysis of the Kids’ Inpatient Database

Objective:

To report trends in Juvenile Nasopharyngeal Angiofibroma (JNA) hospitalizations and identify key factors affecting treatment outcomes and cost of care in JNA patients.

Methods:

The Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database was queried for all cases of JNA between the years of 1997 and 2016. Key factors extracted were patient demographics, geographic region, hospital size, teaching status, elective admissions, and number of diagnoses and procedures performed during the hospitalization. These elements were correlated to length of stay (LOS) and cost-per-day (CPD) using a multiple linear regression (MLR). Regional variation in JNA diagnosis and changes in LOS and CPD trends over time were also analyzed.

Results:

A total of 614 JNA patients were hospitalized in this time period, with a majority of patients identifying as male (98%) and Caucasian/White (55%). The average LOS has decreased by 0.14 day per year since 1997 ( P = .0034) whereas the CPD has steadily increased by $2 380 per year ( P < .001). MLR analysis revealed that while holding all other factors constant, patients who stayed at teaching hospitals had an increased LOS of 1.7 days ( P = .026), but paid $11 961 less per day ( P = .05). Regional variation in CPD was found in the Northeast region, where hospitalizations were more expensive by $9 801 per day compared to the South ( P = .017).

Conclusion:

These results indicate hospital characteristics, such as teaching status and geographic region, may predict differences in JNA outcomes and cost. Healthcare providers should be cognizant of these variations to ensure optimal patient outcomes and expenditures.

Predictors of High Costs of Care among Otolaryngology Patients

Objectives

Identify predictors of high-cost otolaryngology care.

Study Design

Cross-sectional.

Setting

Tertiary academic multispecialty hospital.

Subjects/Methods

All patients undergoing ≥1 otolaryngologic procedures from 2011 to 2015. Encounter costs were standardized using previously described methods approximating Medicare reimbursement. Patients were stratified by adult/pediatric and inpatient/outpatient. “Outliers” were defined as total encounter costs ≥95th percentile. Logistic regression measured predictors of outlier status.

Results

In total, 2433 adult inpatient encounters (95th percentile $57,611), 10,031 adult outpatient encounters ($10,772), 346 pediatric inpatient encounters ($84,639), and 3027 pediatric outpatient encounters ($8978) were included. For adult inpatient and outpatient, isolated head and neck oncologic procedures were the reference group. Among adult inpatients, laryngology and facial plastics procedures predicted higher odds of outlier status (odds ratio [OR] = 4.1 and 7.2). Involvement of multiple otolaryngology subspecialties increased the odds (OR = 4.7). Neck dissection and reconstructive procedures were the most common primary operations for adult inpatient outliers. For adult outpatients, several subspecialties had lower odds than head and neck (OR ≤0.44). Increased comorbidities predicted outliers for adult inpatient care (OR = 1.5); sex, age, race, and ethnicity did not. Cochlear implant was the most common primary operation among adult and pediatric outpatient outliers. Greater subspecialty involvement and increasing age predicted pediatric outpatient outliers (OR = 8.0 and 1.1); younger age and female sex predicted pediatric inpatient outliers (OR = 0.8 and 3.5). Airway procedures dominated pediatric inpatient outliers.

Conclusion

This is the first large-scale study of high-cost otolaryngology care across multiple subspecialties. Specific procedures and subspecialties and increased comorbidities predicted high-cost care. Contrary to previous studies, patient sex, race, and ethnicity did not.