Predicting adherence trajectory using initial patterns of medication filling

American Journal of Managed Care

Volumn 21, Issue 9, 2015, Pages

  Franklin, Jessica M ^a   Krumme, Alexis A ^a   Shrank, William H ^b   Matlin, Olga S ^b   Brennan, Troyen A ^b   Choudhry, Niteesh K ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b CVS Caremark   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PRESCRIPTION DRUG; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

AGED; ARTICLE; CLASSIFICATION; COHORT ANALYSIS; FOLLOW UP; HEALTH CARE COST; HEALTH CARE UTILIZATION; HUMAN; MEDICAL INFORMATION SYSTEM; MEDICARE; MEDICATION COMPLIANCE; PHARMACY; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; FEMALE; INSURANCE; MALE; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TIME FACTOR; UNITED STATES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; FEMALE; HUMANS; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; INSURANCE CLAIM REVIEW; LOGISTIC MODELS; MALE; MEDICARE PART D; MEDICATION ADHERENCE; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; TIME FACTORS; UNITED STATES;

EID: 84941985527     PISSN: 10880224     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Avorn, J, Monette J, Lacour A, et al. Persistence of use of lipid-lowering medications: a cross-national study. JAMA. 1998;279(18):1458-1462.
2. 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):455-461.
3. Choudhry NK, Setoguchi S, Levin R, Winkelmayer WC, Shrank WH. Trends in adherence to secondary prevention medications in elderly post-myocardial infarction patients. Pharmacoepidemiol Drug Saf. 2008;17(12):1189-1196.
4. DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW. Patient adherence and medical treatment outcomes: a meta-analysis. Med Care. 2002;40(9):794-811.
5. Roebuck MC, Liberman JN, Gemmill-Toyama M, Brennan TA. Medication adherence leads to lower health care use and costs despite increased drug spending. Health Aff (Millwood). 2011;30(1):91-99.
6. Raebel MA, Ellis JL, Carroll NM, et al. Characteristics of patients with primary non-adherence to medications for hypertension, diabetes, and lipid disorders. J Gen Intern Med. 2012;27(1):57-64.
7. Chan DC, Shrank WH, Cutler D, et al. Patient, physician, and payment predictors of statin adherence. Med Care. 2010;48(3):196-202.
8. Caldeira KM, O'Grady KE, Garnier-Dykstra LM, Vincent KB, Pickworth WB, Arria AM. Cigarette smoking among college students: longitudinal trajectories and health outcomes. Nicotine Tob Res. 2012;14(7):777-785.
9. Conklin CA, Perkins KA, Sheidow AJ, Jones BL, Levine MD, Marcus MD. The return to smoking: 1-year relapse trajectories among female smokers. Nicotine Tob Res. 2005;7(4):533-540.
10. Hong SI, Hasche L, Bowland S. Structural relationships between social activities and longitudinal trajectories of depression among older adults. Gerontologist. 2009;49(1):1-11.
11. Franklin JM, Shrank WH, Pakes J, et al. Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence. Med Care. 2013;51(9):789-796.
12. Cutrona, SL, Choudhry NK, Fischer MA, et al. Targeting cardiovascular medication adherence interventions. J Am Pharm Assoc (2003). 2012;52(3):381-397.
13. Franklin JM, Shrank WH, Lii J, et al. Observing versus predicting: initial patterns of filling predict long-term adherence more accurately than high-dimensional modeling techniques. Health Serv Res. 2015. doi:10.1111/1475-6773.12310.
14. 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):1410-1421.
15. Kulik A, Shrank WH, Levin R, Choudhry NK. Adherence to statin therapy in elderly patients after hospitalization for coronary revascularization. Am J Cardiol. 2011;107(10):1409-1414.
16. Choudhry NK, Glynn RJ, Avorn J, et al. Untangling the relationship between medication adherence and post-myocardial infarction outcomes: medication adherence and clinical outcomes. Am Heart J. 2014;167(1):51-58.e5.
17. Medicare health & drug plan quality and performance ratings: 2013 Part C & Part D technical notes. CMS website. https://www.cms.gov/Medicare/Prescription-Drug-Coverage/PrescriptionDrugCovGenIn/Downloads/Technical-Notes-2013-.pdf. Published 2013. Accessed October 15, 2014.
18. HEDIS measures. National Committee for Quality Assurance website. http://www.ncqa.org/Portals/0/HEDISQM/HEDIS2014/List-of-HEDIS-2014-Measures.pdf. Published 2014. Accessed October 15, 2014.
19. Twisk J, Hoekstra T. Classifying developmental trajectories over time should be done with great caution: a comparison between methods. J Clin Epidemiol. 2012;65(10):1078-1087.
20. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361-87.
21. Jones BL, Nagin DS. Advances in group-based trajectory modeling and an SAS procedure for estimating them. Sociol Methods Res. 2007;35(4):542-571.
22. Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54(8):774-781.
23. Steiner JF. Can we identify clinical predictors of medication adherence⋯ and should we? Med Care. 2010;48(3):193-195.
24. Steiner JF, Ho PM, Beaty BL, et al. Sociodemographic and clinical characteristics are not clinically useful predictors of refill adherence in patients with hypertension. Circ Cardiovasc Qual Outcomes. 2009;2(5):451-457.
25. See more at: http://www.ajmc.com/journals/issue/2015/2015-vol21-n9/predicting-adherence-trajectory-using-initial-patterns-of-medication-filling/P-2#sthash.OZgrH9OO.dpuf