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Patterns of medication adherence in a multi-ethnic cohort of prevalent statin users diagnosed with breast, prostate, or colorectal cancer

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Abstract

Purpose

To investigate the implications of a cancer diagnosis on medication adherence for pre-existing comorbid conditions, we explored statin adherence patterns prior to and following a new diagnosis of breast, colorectal, or prostate cancer among a multi-ethnic cohort.

Methods

We identified adults enrolled at Kaiser Permanente Northern California who were prevalent statin medication users, newly diagnosed with breast, colorectal, or prostate cancer between 2000 and 2012. Statin adherence was measured using the proportion of days covered (PDC) during the 2-year pre-cancer diagnosis and the 2-year post-cancer diagnosis. Adherence patterns were assessed using generalized estimating equations, for all cancers combined and stratified by cancer type and race/ethnicity, adjusted for demographic, clinical, and tumor characteristics.

Results

Among 10,177 cancer patients, statin adherence decreased from pre- to post-cancer diagnosis (adjusted odds ratio (ORadj):0.91, 95% confidence interval (95% CI):0.88–0.94). Statin adherence decreased from pre- to post-cancer diagnosis among breast (ORadj:0.94, 95% CI:0.90–0.99) and colorectal (ORadj:0.79, 95% CI:0.74–0.85) cancer patients. No difference in adherence was observed among prostate cancer patients (ORadj:1.01, 95% CI:0.97–1.05). Prior to cancer diagnosis, adherence to statins was generally higher among non-Hispanic whites and multi-race patients than other groups. However, statin adherence after diagnosis decreased only among these two populations (ORadj:0.85, 95% CI:0.85–0.92 and ORadj:0.86, 95% CI:0.76–0.97), respectively.

Conclusions

We found substantial variation in statin medication adherence following diagnosis by cancer type and race/ethnicity among a large cohort of prevalent statin users in an integrated health care setting.

Implications for Cancer Survivors

Improving our understanding of comorbidity management and polypharmacy across diverse cancer patient populations is warranted to develop tailored interventions that improve medication adherence and reduce disparities in health outcomes.

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References

  1. American Cancer Society. Cancer facts & figures 2018. Atlanta, GA: American Cancer Society; 2018.

    Google Scholar 

  2. Edwards BK, Noone AM, Mariotto AB, Simard EP, Boscoe FP, Henley SJ, et al. Annual report to the nation on the status of cancer, 1975-2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120(9):1290–314.

    Article  Google Scholar 

  3. Smith AW, Reeve BB, Bellizzi KM, Harlan LC, Klabunde CN, Amsellem M, et al. Cancer, comorbidities, and health-related quality of life of older adults. Health Care Financ Rev. 2008;29(4):41–56.

    PubMed  PubMed Central  Google Scholar 

  4. Deckx L, et al. Chronic diseases among older cancer survivors. J Cancer Epidemiol. 2012;2012:206414.

    Article  Google Scholar 

  5. Hilmer SN, Mager DE, Simonsick EM, Cao Y, Ling SM, Windham BG, et al. A drug burden index to define the functional burden of medications in older people. Arch Intern Med. 2007;167(8):781–7.

    Article  Google Scholar 

  6. Cashman J, Wright J, Ring A. The treatment of co-morbidities in older patients with metastatic cancer. Support Care Cancer. 2010;18(5):651–5.

    Article  Google Scholar 

  7. Ritchie CS, Kvale E, Fisch MJ. Multimorbidity: an issue of growing importance for oncologists. J Oncol Pract. 2011;7(6):371–4.

    Article  Google Scholar 

  8. Stuart BC, Davidoff AJ, Erten MZ. Changes in medication management after a diagnosis of cancer among Medicare beneficiaries with diabetes. J Oncol Pract. 2015;11(6):429–34.

    Article  Google Scholar 

  9. Calip GS, Boudreau DM, Loggers ET. Changes in adherence to statins and subsequent lipid profiles during and following breast cancer treatment. Breast Cancer Res Treat. 2013;138(1):225–33.

    Article  CAS  Google Scholar 

  10. Calip GS, Hubbard RA, Stergachis A, Malone KE, Gralow JR, Boudreau DM. Adherence to oral diabetes medications and glycemic control during and following breast cancer treatment. Pharmacoepidemiol Drug Saf. 2014;24(1):75–85.

    Article  Google Scholar 

  11. Yang J, Neugut AI, Wright JD, Accordino M, Hershman DL. Nonadherence to oral medications for chronic conditions in breast cancer survivors. J Oncol Pract. 2016;12(8):e800–9.

    Article  Google Scholar 

  12. Chou YT, Winn AN, Rosenstein DL, Dusetzina SB. Assessing disruptions in adherence to antidepressant treatments after breast cancer diagnosis. Pharmacoepidemiol Drug Saf. 2017;26(6):676–84.

    Article  CAS  Google Scholar 

  13. Gellad WF, Haas JS, Safran DG. Race/ethnicity and nonadherence to prescription medications among seniors: results of a national study. J Gen Intern Med. 2007;22(11):1572–8.

    Article  Google Scholar 

  14. Poon I, Lal LS, Ford ME, Braun UK. Racial/ethnic disparities in medication use among veterans with hypertension and dementia: a national cohort study. Ann Pharmacother. 2009;43(2):185–93.

    Article  Google Scholar 

  15. Adams AS, Trinacty CM, Zhang F, Kleinman K, Grant RW, Meigs JB, et al. Medication adherence and racial differences in A1C control. Diabetes Care. 2008;31(5):916–21.

    Article  Google Scholar 

  16. Zhang Y, Baik SH. Race/ethnicity, disability, and medication adherence among Medicare beneficiaries with heart failure. J Gen Intern Med. 2014;29(4):602–7.

    Article  Google Scholar 

  17. Adams AS, Uratsu C, Dyer W, Magid D, O’Connor P, Beck A, et al. Health system factors and antihypertensive adherence in a racially and ethnically diverse cohort of new users. JAMA Intern Med. 2013;173(1):54–61.

    Article  Google Scholar 

  18. Heart Protection Study Collaborative, G. MRC/BHF heart protection study of cholesterol lowering with simvastatin in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet. 2002;360(9326):7–22.

    Article  Google Scholar 

  19. Taylor F, et al. Statins for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev. 2013;(1):CD004816.

  20. Chou R, Dana T, Blazina I, Daeges M, Jeanne TL. Statins for prevention of cardiovascular disease in adults: evidence report and systematic review for the US preventive services task force. JAMA. 2016;316(19):2008–24.

    Article  Google Scholar 

  21. Pedersen TR, Faergeman O, Kastelein JJ, Olsson AG, Tikkanen MJ, Holme I, et al. High-dose atorvastatin vs usual-dose simvastatin for secondary prevention after myocardial infarction: the IDEAL study: a randomized controlled trial. JAMA. 2005;294(19):2437–45.

    Article  CAS  Google Scholar 

  22. Shepherd J, Blauw GJ, Murphy MB, Bollen ELEM, Buckley BM, Cobbe SM, et al. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet. 2002;360(9346):1623–30.

    Article  CAS  Google Scholar 

  23. Bates TR, Connaughton VM, Watts GF. Non-adherence to statin therapy: a major challenge for preventive cardiology. Expert Opin Pharmacother. 2009;10(18):2973–85.

    Article  CAS  Google Scholar 

  24. Turin A, Pandit J, Stone NJ. Statins and nonadherence: should we RELATE better? J Cardiovasc Pharmacol Ther. 2015;20(5):447–56.

    Article  CAS  Google Scholar 

  25. Lemstra M, Blackburn D. Nonadherence to statin therapy: discontinuation after a single fill. Can J Cardiol. 2012;28(5):567–73.

    Article  Google Scholar 

  26. Lemstra M, Blackburn D, Crawley A, Fung R. Proportion and risk indicators of nonadherence to statin therapy: a meta-analysis. Can J Cardiol. 2012;28(5):574–80.

    Article  Google Scholar 

  27. Benner JS, Glynn RJ, Mogun H, Neumann PJ, Weinstein MC, Avorn J. Long-term persistence in use of statin therapy in elderly patients. JAMA. 2002;288(4):455–61.

    Article  Google Scholar 

  28. Vinker S, Shani M, Baevsky T, Elhayany A. Adherence with statins over 8 years in a usual care setting. Am J Manag Care. 2008;14(6):388–92.

    PubMed  Google Scholar 

  29. Oehrli MD, Quesenberry CP. Northern California cancer registry: 2015 annual report on trends, incidence, and outcomes. Oakland, CA: Kaiser Permanente; 2015.

    Google Scholar 

  30. Nau DP. Proportion of days covered (PDC) as the preferred method of measuring medication adherence. 02/01/2016]; Available from: www.pqaalliance.org/images/uploads/files/PQA%20PDC%20vs%20%20MPR.pdf.

  31. Nichol MB, Knight TK, Wu J, Tang SSK, Cherry SB, Benner JS, et al. Transition probabilities and predictors of adherence in a California Medicaid population using antihypertensive and lipid-lowering medications. Value Health. 2009;12(4):544–50.

    Article  Google Scholar 

  32. Slejko JF, Ho M, Anderson HD, Nair KV, Sullivan PW, Campbell JD. Adherence to statins in primary prevention: yearly adherence changes and outcomes. J Manag Care Pharm. 2014;20(1):51–7.

    PubMed  Google Scholar 

  33. Fitzmaurice GM, Laird NM, Ware JH, editors. Applied longitudinal analysis. Second ed. New York, New York: John Wiley and Sons; 2011.

    Google Scholar 

  34. Sarfati D, Koczwara B, Jackson C. The impact of comorbidity on cancer and its treatment. CA Cancer J Clin. 2016;66(4):337–50.

    Article  Google Scholar 

  35. Shin DW, Park JH, Park JH, Park EC, Kim SY, Kim SG, et al. Antihypertensive medication adherence in cancer survivors and its affecting factors: results of a Korean population-based study. Support Care Cancer. 2010;19(2):211–20.

    Article  Google Scholar 

  36. Tam-McDevitt J. Polypharmacy, aging, and cancer. Oncology (Williston Park). 2008;22(9):1052–5 discussion 1055, 1058, 1060.

    Google Scholar 

  37. daCosta DiBonaventura M, Copher R, Basurto E, Faria C, Lorenzo R. Patient preferences and treatment adherence among women diagnosed with metastatic breast cancer. Am Health Drug Benefits. 2014;7(7):386–96.

    PubMed  PubMed Central  Google Scholar 

  38. Riechelmann RP, Tannock IF, Wang L, Saad ED, Taback NA, Krzyzanowska MK. Potential drug interactions and duplicate prescriptions among cancer patients. J Natl Cancer Inst. 2007;99(8):592–600.

    Article  Google Scholar 

  39. Riechelmann RP, Zimmermann C, Chin SN, Wang L, O'Carroll A, Zarinehbaf S, et al. Potential drug interactions in cancer patients receiving supportive care exclusively. J Pain Symptom Manag. 2008;35(5):535–43.

    Article  Google Scholar 

  40. Riechelmann RP, Del Giglio A. Drug interactions in oncology: how common are they? Ann Oncol. 2009;20(12):1907–12.

    Article  CAS  Google Scholar 

  41. Beijnen JH, Schellens JH. Drug interactions in oncology. Lancet Oncol. 2004;5(8):489–96.

    Article  CAS  Google Scholar 

  42. Blower P, de Wit R, Goodin S, Aapro M. Drug-drug interactions in oncology: why are they important and can they be minimized? Crit Rev Oncol Hematol. 2005;55(2):117–42.

    Article  Google Scholar 

  43. LeBlanc TW, McNeil MJ, Kamal AH, Currow DC, Abernethy AP. Polypharmacy in patients with advanced cancer and the role of medication discontinuation. Lancet Oncol. 2015;16(7):e333–41.

    Article  Google Scholar 

  44. Gatwood J, Bailey JE. Improving medication adherence in hypercholesterolemia: challenges and solutions. Vasc Health Risk Manag. 2014;10:615–25.

    Article  Google Scholar 

  45. Jacobsen PB, DeRosa AP, Henderson TO, Mayer DK, Moskowitz CS, Paskett ED, et al. Systematic review of the impact of cancer survivorship care plans on health outcomes and health care delivery. J Clin Oncol. 2018;36(20):2088–100.

    Article  Google Scholar 

  46. Zheng Z, Han X, Guy GP Jr, Davidoff AJ, Li C, Banegas MP, et al. Do cancer survivors change their prescription drug use for financial reasons? Findings from a nationally representative sample in the United States. Cancer. 2017;123(8):1453–63.

    Article  Google Scholar 

  47. Darkow T, Henk HJ, Thomas SK, Feng W, Baladi JF, Goldberg GA, et al. Treatment interruptions and non-adherence with imatinib and associated healthcare costs: a retrospective analysis among managed care patients with chronic myelogenous leukaemia. Pharmacoeconomics. 2007;25(6):481–96.

    Article  CAS  Google Scholar 

  48. Dusetzina SB, Winn AN, Abel GA, Huskamp HA, Keating NL. Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia. J Clin Oncol. 2014;32(4):306–11.

    Article  Google Scholar 

  49. Kaul S, Avila JC, Mehta HB, Rodriguez AM, Kuo YF, Kirchhoff AC. Cost-related medication nonadherence among adolescent and young adult cancer survivors. Cancer. 2017;123(14):2726–34.

    Article  CAS  Google Scholar 

  50. Adams AS, Madden JM, Zhang F, Soumerai SB, Gilden D, Griggs J, et al. Changes in use of lipid-lowering medications among black and white dual enrollees with diabetes transitioning from Medicaid to Medicare Part D drug coverage. Med Care. 2014;52(8):695–703.

    Article  Google Scholar 

  51. Mann DM, Woodward M, Muntner P, Falzon L, Kronish I. Predictors of nonadherence to statins: a systematic review and meta-analysis. Ann Pharmacother. 2010;44(9):1410–21.

    Article  Google Scholar 

  52. Yang Y, Thumula V, Pace PF, Banahan BF III, Wilkin NE, Lobb WB. Predictors of medication nonadherence among patients with diabetes in Medicare Part D programs: a retrospective cohort study. Clin Ther. 2009;31(10):2178–88 discussion 2150-1.

    Article  Google Scholar 

  53. Rolnick SJ, Pawloski PA, Hedblom BD, Asche SE, Bruzek RJ. Patient characteristics associated with medication adherence. Clin Med Res. 2013;11(2):54–65.

    Article  Google Scholar 

  54. Ritchey M, Chang A, Powers C, Loustalot F, Schieb L, Ketcham M, et al. Vital signs: disparities in antihypertensive medication nonadherence among Medicare part D beneficiaries - United States, 2014. MMWR Morb Mortal Wkly Rep. 2016;65(36):967–76.

    Article  Google Scholar 

  55. Calip GS, Elmore JG, Boudreau DM. Characteristics associated with nonadherence to medications for hypertension, diabetes, and dyslipidemia among breast cancer survivors. Breast Cancer Res Treat. 2017;161(1):161–72.

    Article  CAS  Google Scholar 

  56. Danaei G, Tavakkoli M, Hernan MA. Bias in observational studies of prevalent users: lessons for comparative effectiveness research from a meta-analysis of statins. Am J Epidemiol. 2012;175(4):250–62.

    Article  Google Scholar 

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Acknowledgements

Parts of this study were presented at the 8th American Association for Cancer Research Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved. The study sponsor had no role in study design; collection, analysis, or interpretation of data; writing of the report; or the decision to submit the report.

Funding

This work was supported by PHS grant from the National Cancer Institute (R01 CA098838, Habel, PI; R01AG032249, Adams, PI; Cancer Research Network: U24 CA17152, Kushi, PI).

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Correspondence to Matthew P. Banegas.

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Conflict of interest

MPB has received research grants from AstraZeneca, and LAH has received research grants from Genentech, for projects outside of this work.

Ethical approval

This study was a secondary analysis of existing dataset with no PHI and, therefore, did not meet the definition of human subject research. For this type of study, formal consent is not required.

Additional information

This study was a secondary analysis of existing dataset with no PHI and, therefore, did not meet the definition of human subjects research

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Banegas, M.P., Emerson, M.A., Adams, A.S. et al. Patterns of medication adherence in a multi-ethnic cohort of prevalent statin users diagnosed with breast, prostate, or colorectal cancer. J Cancer Surviv 12, 794–802 (2018). https://doi.org/10.1007/s11764-018-0716-6

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  • DOI: https://doi.org/10.1007/s11764-018-0716-6

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