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Anti-Inflammatory Medication Adherence, Healthcare Utilization and Expenditures among Medicaid and Children’s Health Insurance Program Enrollees with Asthma

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Abstract

Background: Underuse of controller therapy among Medicaid-enrolled children is common and leads to more emergency department (ED) visits and hospitalizations. However, there is little evidence about the relationship between medication adherence, outcomes and costs once controller therapy is initiated.

Objective: This study examined the relationship between adherence to two commonly prescribed anti-inflammatory medications, inhaled corticosteroids (ICS) and leukotriene inhibitors (LI), and healthcare utilization and expenditures among children enrolled in Medicaid and the Children’s Health Insurance Program in Florida and Texas in the US.

Methods: The sample for this retrospective observational study consisted of 18456 children aged 2–18 years diagnosed with asthma, who had been continuously enrolled for 24 months during 2004–7 and were on monotherapy with ICS or LI. State administrative enrolment files were linked to medical claims data. Children were grouped into three adherence categories based on the percentage of days per year they had prescriptions filled (medication possession ratio). Bivariate and multivariable regression analyses that adjusted for the children’s demographic and health characteristics were used to examine the relationship between adherence and ED visits, hospitalizations, and expenditures.

Results: Average adherence was 20% for ICS-treated children and 28% for LI-treated children. Children in the highest adherence category had lower odds of an ED visit than those in the lowest adherence category (p < 0.001). We did not detect a statistically significant relationship between adherence and hospitalizations; however, only 3.7% of children had an asthma-related hospitalization. Overall asthma care expenditures increased with greater medication adherence.

Conclusions: Although greater adherence was associated with lower rates of ED visits, higher medication expenditures outweighed the savings. The overall low adherence rates suggest that quality improvement initiatives should continue to target adherence regardless of the class of medication used. However, low baseline hospitalization rates may leave little opportunity to significantly decrease costs through better disease management, without also decreasing medication costs.

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References

  1. Bloom B, Cohen RA, Freeman G. Summary health statistics for U.S. children: national health interview survey, 2008. Vital Health Stat 2009; 10 (244): 1–81

    Google Scholar 

  2. Adams RJ, Fuhlbrigge A, Finkelstein JA, et al. Impact of inhaled antiinflammatory therapy on hospitalization and emergency department visits for children with asthma. Pediatrics 2001 Apr; 107 (4): 706–11

    Article  PubMed  CAS  Google Scholar 

  3. Balkrishnan R, Norwood GJ, Anderson A. Outcomes and cost benefits associated with the introduction of inhaled corticosteroid therapy in a medicaid population of asthmatic patients. Clin Ther 1998 May-Jun; 20 (3): 567–80

    Article  PubMed  CAS  Google Scholar 

  4. Smith MJ, Rascati KL, McWilliams BC. Inhaled antiinflammatory pharmacotherapy and subsequent hospitalizations and emergency department visits among patients with asthma in the Texas Medicaid program. Ann Allergy Asthma Immunol 2004 Jan; 92 (1): 40–6

    Article  PubMed  Google Scholar 

  5. Finkelstein JA, Barton MB, Donahue JG, et al. Comparing asthma care for Medicaid and non-Medicaid children in a health maintenance organization. Arch Pediatr Adolesc Med 2000 Jun; 154 (6): 563–8

    Article  PubMed  CAS  Google Scholar 

  6. Ortega AN, Belanger KD, Paltiel AD, et al. Use of health services by insurance status among children with asthma. Med Care 2001 Oct; 39 (10): 1065–74

    Article  PubMed  CAS  Google Scholar 

  7. David C. Preventive therapy for asthmatic children under Florida Medicaid: changes during the 1990s. J Asthma 2004 Sep; 41 (6): 655–61

    Article  PubMed  Google Scholar 

  8. Sherman J, Patel P, Hutson A, et al. Adherence to oral montelukast and inhaled fluticasone in children with persistent asthma. Pharmacotherapy 2001 Dec; 21 (12): 1464–7

    Article  PubMed  CAS  Google Scholar 

  9. Adams RJ, Fuhlbrigge A, Finkelstein JA, et al. Use of inhaled anti-inflammatory medication in children with asthma in managed care settings. Arch Pediatr Adolesc Med 2001 Apr; 155 (4): 501–7

    Article  PubMed  CAS  Google Scholar 

  10. Butz AM, Tsoukleris M, Donithan M, et al. Patterns of inhaled antiinflammatory medication use in young underserved children with asthma. Pediatrics 2006 Dec; 118 (6): 2504–13

    Article  PubMed  Google Scholar 

  11. Finkelstein JA, Lozano P, Farber HJ, et al. Underuse of controller medications among Medicaid-insured children with asthma. Arch Pediatr Adolesc Med 2002 Jun; 156 (6): 562–7

    Article  PubMed  Google Scholar 

  12. Halterman JS, Auinger P, Conn KM, et al. Inadequate therapy and poor symptom control among children with asthma: findings from a multistate sample. Ambul Pediatr 2007 Mar-Apr; 7 (2): 153–9

    Article  PubMed  Google Scholar 

  13. Reeves MJ, Bohm SR, Korzeniewski SJ, et al. Asthma care and management before an emergency department visit in children in western Michigan: how well does care adhere to guidelines? Pediatrics 2006 Apr; 117 (4 Pt 2): S118–26

    Google Scholar 

  14. Camargo Jr CA, Ramachandran S, Ryskina KL, et al. Association between common asthma therapies and recurrent asthma exacerbations in children enrolled in a state Medicaid plan. Am J Health Syst Pharm 2007 May 15; 64 (10): 1054–61

    Article  PubMed  Google Scholar 

  15. Smith K, Warholak T, Armstrong E, et al. Evaluation of risk factors and health outcomes among persons with asthma. J Asthma 2009 Apr; 46 (3): 234–7

    Article  PubMed  Google Scholar 

  16. National Asthma Education and Prevention Program, National Institutes of Health, National Heart, Lung and Blood Institute. Expert panel report guidelines for the diagnosis and management of asthma. Bethesda (MD): US Department of Health and Human Services, 2007. NIH publication no.: 08-4051

  17. Fitzpatrick AM, Kir T, Naeher LP, et al. Tablet and inhaled controller medication refill frequencies in children with asthma. J Pediatr Nurs 2009 Apr; 24 (2): 81–9

    Article  PubMed  Google Scholar 

  18. Bukstein DA, Luskin AT, Bernstein A. “Real-world” effectiveness of daily controller medicine in children with mild persistent asthma. Ann Allergy Asthma Immunol 2003 May; 90 (5): 543–9

    Article  PubMed  Google Scholar 

  19. Balkrishnan R, Nelsen LM, Kulkarni AS, et al. Outcomes associated with initiation of different controller therapies in a Medicaid asthmatic population: a retrospective data analysis. J Asthma 2005 Feb; 42 (1): 35–40

    Article  PubMed  Google Scholar 

  20. Shields AE, Comstock C, Finkelstein JA, et al. Comparing asthma care provided to Medicaid-enrolled children in a primary care case manager plan and a staff model HMO. Ambul Pediatr 2003 Sep-Oct; 3 (5): 253–62

    Article  PubMed  Google Scholar 

  21. Hess LM, Raebel MA, Conner DA, et al. Measurement of adherence in pharmacy administrative databases: a proposal for standard definitions and preferred measures. Ann Pharmacother 2006 Jul-Aug; 40 (7-8): 1280–8

    Article  PubMed  Google Scholar 

  22. Mattke S, Jain AK, Sloss EM, et al. Effect of disease management on prescription drug treatment: what is the right quality measure? Dis Manag 2007 Apr; 10 (2): 91–100

    Article  PubMed  Google Scholar 

  23. Shenkman E, Knapp C, Sappington D, et al. Persistence of high health care expenditures among children in Medicaid. Med Care Res Rev 2007 Jun; 64 (3): 304–30

    Article  PubMed  Google Scholar 

  24. Newhouse JP, Manning WG, Keeler EB, et al. Adjusting capitation rates using objective health measures and prior utilization. Health Care Financ Rev 1989; 10 (3): 41–54

    PubMed  CAS  Google Scholar 

  25. Newhouse JP, Sloss EM, Manning Jr WG, et al. Risk adjustment for a children’s capitation rate. Health Care Financ Rev 1993; 15 (1): 39–54

    PubMed  CAS  Google Scholar 

  26. Cabana MD, Slish KK, Nan B, et al. Limits of the HEDIS criteria in determining asthma severity for children. Pediatrics 2004 Oct; 114 (4): 1049–55

    Article  PubMed  Google Scholar 

  27. Neff JM, Sharp VL, Muldoon J, et al. Identifying and classifying children with chronic conditions using administrative data with the clinical risk group classification system. Ambul Pediatr 2002 Jan-Feb; 2 (1): 71–9

    Article  PubMed  Google Scholar 

  28. Bethell C, Read D. Approaches to identifying children and adults with special health care needs: a resource manual for state Medicaid agencies and managed care organizations. Portland (OR): The Child and Adolescent Health Measurement Initiative, Oregon Health and Science University, 2002

    Google Scholar 

  29. Economic Research Service. Rural-urban commuting area codes. Washington, DC: US Department of Agriculture, 2000 [online]. Available from URL: http://www.ers.usda.gov/Data/RuralUrbanCommutingAreaCodes/ [Accessed 2010 Aug 18]

  30. Duan N. Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 1983; 78 (383): 605–10

    Article  Google Scholar 

  31. Stata/MP [computer program]. Version 11. College Station (TX): StataCorp, 2009

  32. Mattke S, Martorell F, Hong SY, et al. Anti-inflammatory medication adherence and cost and utilization of asthma care in a commercially insured population. J Asthma 2010 Apr; 47 (3): 323–9

    Article  PubMed  CAS  Google Scholar 

  33. Linden AL. What will it take for disease management to demonstrate a return on investment? New perspectives on an old theme. Am J Manag Care 2006 Apr; 12 (4): 217–22

    Google Scholar 

  34. Farber HJ, Capra AM, Finkelstein JA, et al. Misunderstanding of asthma controller medications: association with nonadherence. J Asthma 2003; 40 (1): 17–25

    Article  PubMed  Google Scholar 

  35. Naimi DR, Freedman TG, Ginsburg KR, et al. Adolescents and asthma: why bother with our meds? J Allergy Clin Immun 2009 Jun; 123 (6): 1335–41

    Article  PubMed  Google Scholar 

  36. Bravata DM, Gienger AL, Holty JE, et al. Quality improvement strategies for children with asthma: a systematic review. Arch Pediatr Adolesc Med 2009 Jun; 163 (6): 572–81

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The study was supported by the Merck Childhood Asthma Network, Inc., Washington, DC, USA. The sponsor contributed to the interpretation of findings and reviewed the manuscript, but had no role in designing or conducting the study.

The authors have no conflicts to report.

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Herndon, J.B., Mattke, S., Cuellar, A.E. et al. Anti-Inflammatory Medication Adherence, Healthcare Utilization and Expenditures among Medicaid and Children’s Health Insurance Program Enrollees with Asthma. PharmacoEconomics 30, 397–412 (2012). https://doi.org/10.2165/11586660-000000000-00000

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  • DOI: https://doi.org/10.2165/11586660-000000000-00000

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