Differences in influenza testing and treatment in micropolitan versus metropolitan areas in the U.S. using medicare claims data from 2010 to 2016.

Alexia Couture, F Scott Dahlgren, Hector S Izurieta, Richard A Forshee, Yun Lu, Carrie Reed
Author Information
  1. Alexia Couture: Epidemiology and Prevention Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS 24/7, Atlanta, GA, 30329-4027, USA. njh6@cdc.gov.
  2. F Scott Dahlgren: Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands.
  3. Hector S Izurieta: Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
  4. Richard A Forshee: Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
  5. Yun Lu: Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
  6. Carrie Reed: Epidemiology and Prevention Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS 24/7, Atlanta, GA, 30329-4027, USA.

Abstract

BACKGROUND: To improve understanding of influenza and rurality, we investigated differences in influenza testing and anti-viral treatment rates between micropolitan (muSAs) and metropolitan statistical areas (MSAs) using national medical claims data over multiple influenza seasons.
METHODS: Using billing data from the Centers for Medicare and Medicaid Services for those aged 65 years and older, we estimated weekly rates of ordered rapid influenza diagnostic tests (RIDT) and antivirals (AV) among Medicare enrollees by core-based statistical areas (CBSAs) during 2010-2016. We used Negative Binomial generalized mixed models to estimate adjusted rate ratios (aRR) between MSAs and muSAs, adjusting for clustering by CBSA plus explanatory variables. We ran models for all weeks and only high influenza activity weeks.
RESULTS: For all weeks, the unadjusted rate of RIDTs was 1.97 per 10,000 people in MSAs compared with 2.69 in muSAs (Rate ratio (RR) = 0.73, 95% Confidence Interval (CI): 0.73-0.74) and of AVs was 1.85 in MSAs compared with 1.40 in muSAs (RR = 1.32, CI: 1.31-1.32). From the multivariate model, aRR for RIDTs was 0.82 (0.73-0.94) and for AVs was 1.12 (1.04-1.22) in MSAs versus muSAs. For high influenza activity weeks, aRR for RIDTs was 0.82 (0.73-0.92) and for AVs was 1.15 (1.06-1.24). All models found influenza testing rates higher in muSAs and treatment rates higher in MSAs.
CONCLUSIONS: Our study found lower testing and higher treatment in U.S. metropolitan versus micropolitan areas from 2010 to 2016 for those aged 65 years and older in our population. Identifying differences in influenza rates by rurality may improve public health response. Further research into the relationship of rurality and health disparities is needed.

Keywords

References

  1. JAMA. 2022 Jul 26;328(4):323 [PMID: 35881114]
  2. Proc Biol Sci. 2014 Apr 30;281(1785):20140268 [PMID: 24789897]
  3. Nat Rev Microbiol. 2018 Jan;16(1):47-60 [PMID: 29081496]
  4. BMC Health Serv Res. 2015 Oct 01;15:441 [PMID: 26423746]
  5. J Rural Health. 2022 Jun;38(3):604-611 [PMID: 34143913]
  6. PLoS One. 2021 Sep 07;16(9):e0244346 [PMID: 34492018]
  7. PLoS One. 2012;7(8):e43528 [PMID: 22916274]
  8. Epidemics. 2020 Jun;31:100387 [PMID: 32371346]
  9. Health Aff (Millwood). 2019 Dec;38(12):2077-2085 [PMID: 31794322]
  10. Prev Med. 2021 Nov;152(Pt 2):106661 [PMID: 34087323]
  11. Influenza Other Respir Viruses. 2018 Jul;12(4):465-474 [PMID: 29505168]
  12. Kans J Med. 2021 Dec 02;14:292-297 [PMID: 34888000]
  13. Proc Biol Sci. 1998 Dec 22;265(1413):2421-5 [PMID: 9921681]
  14. Annu Rev Anim Biosci. 2015;3:347-73 [PMID: 25422855]
  15. Science. 2006 Apr 21;312(5772):447-51 [PMID: 16574822]
  16. Psychiatr Serv. 2007 Apr;58(4):503-8 [PMID: 17412852]
  17. J Rural Health. 2022 Mar;38(2):409-415 [PMID: 34506669]
  18. N Engl J Med. 2018 Feb 1;378(5):473-479 [PMID: 29385378]
  19. Epidemics. 2019 Mar;26:23-31 [PMID: 30249390]
  20. Influenza Other Respir Viruses. 2009 Jan;3(1):29-35 [PMID: 19453439]
  21. MD Comput. 1997 Jul-Aug;14(4):306-17 [PMID: 9230594]
  22. Acad Emerg Med. 2013 Aug;20(8):786-94 [PMID: 24033621]
  23. Science. 2018 Oct 5;362(6410):75-79 [PMID: 30287659]
  24. Fam Med. 2006 Oct;38(9):653-60 [PMID: 17009190]
  25. Diabetes Care. 2021 Aug;44(8):1766-1773 [PMID: 34127495]
  26. Prev Med. 2020 Oct;139:106184 [PMID: 32615128]
  27. J Rural Health. 2022 Jun;38(3):668-673 [PMID: 34270125]
  28. PLoS Pathog. 2015 Jun 18;11(6):e1004898 [PMID: 26086273]
  29. Clin Infect Dis. 2019 Nov 13;69(11):1845-1853 [PMID: 30715278]
  30. J Rural Health. 2022 Sep;38(4):986-993 [PMID: 33978980]
  31. PLoS One. 2023 Aug 30;18(8):e0290294 [PMID: 37647267]
  32. Public Health Rep (1896). 1963 Jun;78(6):494-506 [PMID: 19316455]
  33. Rural Policy Brief. 2017 Dec 01;2017(7):1-6 [PMID: 29693334]
  34. Lancet Infect Dis. 2015 Mar;15(3):293-300 [PMID: 25672568]
  35. Am J Prev Med. 2023 May;64(5):761-764 [PMID: 37085247]

MeSH Term

Humans
Influenza, Human
United States
Aged
Medicare
Male
Female
Antiviral Agents
Aged, 80 and over
Insurance Claim Review
Urban Population
Rural Population

Chemicals

Antiviral Agents

Word Cloud

Created with Highcharts 10.0.0influenza1muSAsMSAsrates0testingtreatmentareasweeksruralitymicropolitanmetropolitandatamodelsaRRRIDTs73-0AVsversushigherimprovedifferencesstatisticalusingclaimsMedicareaged65yearsolderratehighactivitycompared3282foundUS20102016healthBACKGROUND:understandinginvestigatedanti-viralnationalmedicalmultipleseasonsMETHODS:UsingbillingCentersMedicaidServicesestimatedweeklyorderedrapiddiagnostictestsRIDTantiviralsAVamongenrolleescore-basedCBSAs2010-2016usedNegativeBinomialgeneralizedmixedestimateadjustedratiosadjustingclusteringCBSAplusexplanatoryvariablesranRESULTS:unadjusted97per10000people269RateratioRR = 07395%ConfidenceIntervalCI:748540RR = 1CI:31-1multivariatemodel941204-122921506-124CONCLUSIONS:studylowerpopulationIdentifyingmaypublicresponseresearchrelationshipdisparitiesneededDifferencesmedicareAntiviralsInfluenzaRapid-testingRurality

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