A systematic review of medication adherence thresholds dependent of clinical outcomes

Frontiers in Pharmacology

Volumn 9, Issue NOV, 2018, Pages

  Baumgartner, Pascal C ^a   Haynes, R Brian ^b   Hersberger, Kurt E ^a   Arnet, Isabelle ^a  

^a UNIVERSITY OF BASEL   (Switzerland)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

Adherence measurement methods; Adherence methodologies; Adherence metric; Clinical outcome; Medication adherence (MeSH); Patient compliance; Systematic (literature) review; Threshold

Indexed keywords

CORTISONE; LIPID;

CHRONIC DISEASE; CLINICAL OUTCOME; CONGESTIVE HEART FAILURE; DRUG USE; EVENT FREE EPISODE; HEALTH CARE MANAGEMENT; HOSPITALIZATION; HUMAN; INFLAMMATORY BOWEL DISEASE; LOGISTIC REGRESSION ANALYSIS; MEDICATION COMPLIANCE; MEDICATION POSSESSION RATIO; NON INSULIN DEPENDENT DIABETES MELLITUS; OUTCOME ASSESSMENT; PARAMETERS; PREDICTOR VARIABLE; PROPORTION OF DAYS COVERED; REVIEW; SURVIVAL ANALYSIS; SYMPTOMATOLOGY; SYSTEMATIC REVIEW;

EID: 85057787312     PISSN: None     EISSN: 16639812     Source Type: Journal    
DOI: 10.3389/fphar.2018.01290     Document Type: Review

References (36)

1. Arnet, I., Kooij, M. J., Messerli, M., Hersberger, K. E., Heerdink, E. R., and Bouvy, M. (2016). Proposal of standardization to assess adherence with medication records: methodology matters. Ann. Pharmacother. 50, 360-368. doi: 10. 1177/1060028016634106
2. Briesacher, B. A., Andrade, S. E., Fouayzi, H., and Chan, K. A. (2008). Comparison of drug adherence rates among patients with seven different medical conditions. Pharmacotherapy 28, 437-443. doi: 10. 1592/phco. 28. 4. 437
3. Caro, J. J., Ishak, K. J., Huybrechts, K. F., Raggio, G., and Naujoks, C. (2004). The impact of compliance with osteoporosis therapy on fracture rates in actual practice. Osteoporos. Int. 15, 1003-1008. doi: 10. 1007/s00198-004-1652-z
4. Cheung, B. M., Lauder, I. J., Lau, C. P., and Kumana, C. R. (2004). Meta-analysis of large randomized controlled trials to evaluate the impact of statins on cardiovascular outcomes. Br. J. Clin. Pharmacol. 57, 640-651. doi: 10. 1111/j. 1365-2125. 2003. 02060. x
5. Contal, C., and O'Quigley, J. (1999). An application of changepoint methods in studying the effect of age on survival in breast cancer. Comput. Stat. Data Anal. 30, 253-270. doi: 10. 1016/S0167-9473(98)00096-6
6. DiMatteo, M. R. (2004). Variations in patients' adherence to medical recommendations: A quantitative review of 50 years of research. Med. Care 42, 200-209. doi: 10. 1097/01. mlr. 0000114908. 90348. f9
7. Doró, P., Benko, R., Kosik, E., Matuz, M., Tóth, K., and Soós, G. (2005). Utilization of oral antihyperglycemic drugs over a 7-year period (1998-2004) in a Hungarian population and adherence to drug therapy. Eur. J. Clin. Pharmacol. 61, 893-897. doi: 10. 1007/s00228-005-0031-9
8. Fischer, M. A., Stedman, M. R., Lii, J., Vogeli, C., Shrank, W. H., Brookhart, M. A., et al. (2010). Primary medication non-adherence: Analysis of 195, 930 electronic prescriptions. J. Gen. Intern. Med. 25, 284-290. doi: 10. 1007/s11606-010-1253-9
9. Gellad, W. F., Thorpe, C. T., Steiner, J. F., and Voils, C. I. (2017). The myths of medication adherence. Pharmacoepidemiol. Drug Saf. 26, 1437-1441. doi: 10. 1002/pds. 4334
10. Govani, S. M., Noureldin, M., Higgins, P. D. R., Heisler, M., Saini, S. D., Stidham, R. W., et al. (2017). Defining an optimal adherence threshold for patients taking subcutaneous anti-TNFs for inflammatory bowel diseases. Am. J. Gastroenterol. 113, 276-282. doi: 10. 1038/ajg. 2017. 438
11. Hansen, R. A., Farley, J. F., Droege, M., and Maciejewski, M. L. (2010). A retrospective cohort study of economic outcomes and adherence to monotherapy with metformin, pioglitazone, or a sulfonylurea among patients with type 2 diabetes mellitus in the United States from 2003 to 2005. Clin. Ther. 32, 1308-1319. doi: 10. 1016/j. clinthera. 2010. 07. 011
12. Haynes, R. B., Taylor, D. W., Sackett, D. L., Gibson, E. S., Bernholz, C. D., and Mukherjee, J. (1980). Can simple clinical measurements detect patient noncompliance? Hypertension 2, 757-764.
13. Jung, O., Gechter, J. L., Wunder, C., Paulke, A., Bartel, C., Geiger, H., et al. (2013). Resistant hypertension? Assessment of adherence by toxicological urine analysis. J. Hypertens. 31, 766-774. doi: 10. 1097/HJH. 0b013e32835e2286
14. Karve, S., Cleves, M. A., Helm, M., Hudson, T. J., West, D. S., and Martin, B. C. (2009). Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr. Med. Res. Opin. 25, 2303-2310. doi: 10. 1185/03007990903126833
15. Koehorst-ter Huurne, K., Movig, K., van der Valk, P., van der Palen, J., and Brusse-Keizer, M. (2015). Differences in adherence to common inhaled medications in COPD. COPD 12, 643-648. doi: 10. 3109/15412555. 2014. 995292
16. Kozma, C. M., Dickson, M., Phillips, A. L., and Meletiche, D. M. (2013). Medication possession ratio: implications of using fixed and variable observation periods in assessing adherence with disease-modifying drugs in patients with multiple sclerosis. Pat. Prefer. Adherence 7, 509-516. doi: 10. 2147/PPA. S40736
17. Lam, W. Y., and Fresco, P. (2015). Medication adherence measures: An overview. Biomed Res. Int. 2015: 217047. doi: 10. 1155/2015/217047
18. Lo-Ciganic, W. H., Donohue, J. M., Thorpe, J. M., Perera, S., Thorpe, C. T., Marcum, Z. A., et al. (2015). Using machine learning to examine medication adherence thresholds and risk of hospitalization. Med. Care 53, 720-728. doi: 10. 1097/MLR. 0000000000000394
19. Maggiolo, F., Airoldi, M., Kleinloog, H. D., Callegaro, A., Ravasio, V., Arici, C., et al. (2007). Effect of adherence to HAART on virologic outcome and on the selection of resistance-conferring mutations in NNRTI-or PI-treated patients. HIV Clin. Trials 8, 282-292. doi: 10. 1310/hct0805-282
20. Marcum, Z. A., and Gellad, W. F. (2012). Medication adherence to multi-drug regimens. Clin. Geriatr. Med. 28, 287-300. doi: 10. 1016/j. cger. 2012. 01. 008
21. Martin, B. C., Wiley-Exley, E. K., Richards, S., Domino, M. E., Carey, T. S., and Sleath, B. L. (2009). Contrasting measures of adherence with simple drug use, medication switching, and therapeutic duplication. Ann. Pharmacother. 43, 36-44. doi: 10. 1345/aph. 1K671
22. Moher, D., Liberati, A., Tetzlaff, J., and Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 339: b2535. doi: 10. 1136/bmj. b2535
23. Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffery, R., Keepanasseril, A., et al. (2014). Interventions for enhancing medication adherence. Cochrane Database Syst. Rev. 2: CD000011. doi: 10. 1002/14651858. CD000011. pub4
24. Oleen-Burkey, M. A., Dor, A., Castelli-Haley, J., and Lage, M. J. (2011). The relationship between alternative medication possession ratio thresholds and outcomes: evidence from the use of glatiramer acetate. J. Med. Econ. 14, 739-747. doi: 10. 3111/13696998. 2011. 618517
25. Ponikowski, P., Voors, A. A., Anker, S. D., Bueno, H., Cleland, J. G., Coats, A. J., et al. (2016). 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur. J. Heart. Fail. 18, 891-975. doi: 10. 1002/ejhf. 592
26. Royston, P., Altman, D. G., and Sauerbrei, W. (2006). Dichotomizing continuous predictors in multiple regression: A bad idea. Stat. Med. 25, 127-141. doi: 10. 1002/sim. 2331
27. Sabaté, E. (2003). Adherence to Long-Term Therapies: Evidence for Action. Geneva: World Health Organization.
28. Sperber, C. M., Samarasinghe, S. R., and Lomax, G. P. (2017). An upper and lower bound of the medication possession ratio. Pat. Prefer. Adherence 11, 1469-1478. doi: 10. 2147/PPA. S136890
29. Stauffer, M. E., Hutson, P., Kaufman, A. S., and Morrison, A. (2017). The adherence rate threshold is drug specific. Drugs R D 17, 645-653. doi: 10. 1007/s40268-017-0216-6
30. Steiner, J. F., and Prochazka, A. V. (1997). The assessment of refill compliance using pharmacy records: methods, validity, and applications. J. Clin. Epidemiol. 50, 105-116. doi: 10. 1016/S0895-4356(96)00268-5
31. Streiner, D. L. (2002). Breaking up is hard to do: The heartbreak of dichotomizing continuous data. Can. J. Psychiatry 47, 262-266. doi: 10. 1177/070674370204700307
32. Vrijens, B., De Geest, S., Hughes, D. A., Przemyslaw, K., Demonceau, J., Ruppar, T., et al. (2012). A new taxonomyfor describing and defining adherence to medications. Br. J. Clin. Pharmacol. 73, 691-705. doi: 10. 1111/j. 1365-2125. 2012. 04167. x
33. Watanabe, J. H., Bounthavong, M., and Chen, T. (2013). Revisiting the medication possession ratio threshold for adherence in lipid management. Curr. Med. Res. Opin. 29, 175-180. doi: 10. 1185/03007995. 2013. 766164
34. Wu, J. R., Moser, D. K., De Jong, M. J., Rayens, M. K., Chung, M. L., Riegel, B., et al. (2009). Defining an evidence-based cutpoint for medication adherence in heart failure. Am. Heart J. 157, 285-291. doi: 10. 1016/j. Ahj. 2008. 10. 001
35. Yang, Q., Chang, A., Ritchey, M. D., and Loustalot, F. (2017). Antihypertensive medication adherence and risk of cardiovascular disease among older adults: A population-based cohort study. J. Am. Heart Assoc. 6: e006056. doi: 10. 1161/JAHA. 117. 006056
36. Yordanov, Y., Dechartres, A., and Ravaud, P. (2018). Patient-important outcomes in systematic reviews: poor quality of evidence. PLoS ONE 13: e0195460. doi: 10. 1371/journal. pone. 0195460