Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count

Linda Hartman, Maurizio Cutolo, Reinhard Bos, Daniela Opris-Belinski, Marc R Kok, Hanneke J R M Griep-Wentink, Ruth Klaasen, Cornelia F Allaart, George A W Bruyn, Hennie G Raterman, Marieke J H Voshaar, Nuno Gomes, Rui M A Pinto, L Thomas Klausch, Willem F Lems, M Boers, Linda Hartman, Maurizio Cutolo, Reinhard Bos, Daniela Opris-Belinski, Marc R Kok, Hanneke J R M Griep-Wentink, Ruth Klaasen, Cornelia F Allaart, George A W Bruyn, Hennie G Raterman, Marieke J H Voshaar, Nuno Gomes, Rui M A Pinto, L Thomas Klausch, Willem F Lems, M Boers

Abstract

Objectives: Suboptimal medication adherence is a serious problem in the treatment of chronic inflammatory diseases. To measure medication adherence, electronic monitoring is regarded as superior to pill count. GLORIA is an ongoing two-year trial on the addition of low-dose (5 mg/d) prednisolone or placebo to standard care in older people (65+ years) with RA. During the entire trial, adherence is measured with electronic caps, and with pill counts. The objective is to describe medication adherence patterns, and to compare the adherence results of the two methods.

Methods: The recorded adherence patterns of patients (blinded for treatment group) were classified according to descriptive categories. The cutoff for good adherence was set at 80% of prescribed pills taken.

Results: Trial inclusion closed in 2018 at 451 patients, but trial follow-up is ongoing; the current dataset contains adherence data of 371 patients. Mean number of recorded 90-day periods per patient was 4 (range 1-8). Based on pill count over all periods, 90% of the patients had good adherence; based on cap data, only 20%. Cap data classified 30% of patients as non-user (<20% of days an opening) and 40% as irregular user (different adherence patterns, in or between periods).

Conclusion: In our trial of older people with RA, the majority appeared to be adherent to medication according to pill count. Results from caps conflicted with those of pill counts, with patterns suggesting patients did not use the bottle for daily dispensing, despite specific advice to do so.

Trial registration: NCT02585258. ClinicalTrials.gov (https://www.clinicaltrials.gov/).

Keywords: electronic monitoring; glucocorticoids; medication adherence; pill count; rheumatoid arthritis.

© The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology.

Figures

Fig . 1
Fig. 1
Medication bottle used in the GLORIA trial
Fig . 2
Fig. 2
Flow chart of patients included in the adherence analyses
Fig . 3
Fig. 3
Medication adherence measured with pill count and electronic caps (A) Medication adherence measured with pill count (blue) and electronic caps (red) per single period and over all periods. Individual results left, boxplots (whiskers indicate p10 and p90) on the right. (B) Scatterplot of medication adherence (%) per single period according to pill count vs electronic caps.
Fig . 4
Fig. 4
Examples of medication adherence patterns Yellow: no opening; green: 1 opening; blue: ≥2 openings on that day.
Fig . 5
Fig. 5
Patients categorized by their predominant pattern of electronic cap use

References

    1. Sabaté E. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization, 2003.
    1. Brown MT, Bussell JK.. Medication adherence: WHO cares? Mayo Clin Proc 2011;86:304–14.
    1. Świątoniowska N, Chabowski M, Polański J, Mazur G, Jankowska-Polańska B.. Adherence to therapy in chronic obstructive pulmonary disease: a systematic review. Adv Exp Med Biol 2020;1271:37–47.
    1. Park DC, Hertzog C, Leventhal H. et al. Medication adherence in rheumatoid arthritis patients: older is wiser. J Am Geriatr Soc 1999;47:172–83.
    1. Jungst C, Graber S, Simons S, Wedemeyer H, Lammert F.. Medication adherence among patients with chronic diseases: a survey-based study in pharmacies. QJM 2019;112:505–12.
    1. Vik SA, Maxwell CJ, Hogan DB.. Measurement, correlates, and health outcomes of medication adherence among seniors. Ann Pharmacother 2004;38:303–12.
    1. Pasma A, van't Spijker A, Hazes JM, Busschbach JJ, Luime JJ.. Factors associated with adherence to pharmaceutical treatment for rheumatoid arthritis patients: a systematic review. Semin Arthritis Rheum 2013;43:18–28.
    1. Walsh CA, Cahir C, Tecklenborg S. et al. The association between medication non-adherence and adverse health outcomes in ageing populations: a systematic review and meta-analysis. Br J Clin Pharmacol 2019;85:2464–78.
    1. Giardini A, Martin MT, Cahir C. et al. Toward appropriate criteria in medication adherence assessment in older persons: position Paper. Aging Clin Exp Res 2016;28:371–81.
    1. Kini V, Ho PM.. Interventions to improve medication adherence: a review. JAMA 2018;320:2461–73.
    1. Hughes CM. Medication non-adherence in the elderly: how big is the problem? Drugs Aging 2004;21:793–811.
    1. Muller R, Kallikorm R, Polluste K, Lember M.. Compliance with treatment of rheumatoid arthritis. Rheumatol Int 2012;32:3131–5.
    1. Pascual-Ramos V, Contreras-Yáñez I, Villa AR, Cabiedes J, Rull-Gabayet M.. Medication persistence over 2 years of follow-up in a cohort of early rheumatoid arthritis patients: associated factors and relationship with disease activity and with disability. Arthritis Res Ther 2009;11:R26.
    1. De Vera MA, Mailman J, Galo JS.. Economics of non-adherence to biologic therapies in rheumatoid arthritis. Curr Rheumatol Rep 2014;16:460.
    1. El Alili M, Vrijens B, Demonceau J, Evers SM, Hiligsmann M.. A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence. Br J Clin Pharmacol 2016;82:268–79.
    1. Andrade SE, Kahler KH, Frech F, Chan KA.. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf 2006;15:565–74; discussion 75–7.
    1. Kang JS, Lee MH.. Overview of therapeutic drug monitoring. Korean J Intern Med 2009;24:1–10.
    1. Hartman L, Rasch LA, Klausch T. et al. Harm, benefit and costs associated with low-dose glucocorticoids added to the treatment strategies for rheumatoid arthritis in elderly patients (GLORIA trial): study protocol for a randomised controlled trial. Trials 2018;19:67.
    1. Arnett FC, Edworthy SM, Bloch DA. et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum 1988;31:315–24.
    1. Aletaha D, Neogi T, Silman AJ. et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum 2010;62:2569–81.
    1. Knafl GJ, Bova CA, Fennie KP. et al. An analysis of electronically monitored adherence to antiretroviral medications. AIDS Behav 2010;14:755–68.
    1. van Onzenoort HA, Verberk WJ, Kessels AG. et al. Assessing medication adherence simultaneously by electronic monitoring and pill count in patients with mild-to-moderate hypertension. Am J Hypertens 2010;23:149–54.
    1. Hartman L, Lems WF, Boers M.. Outcome measures for adherence data from a medication event monitoring system: a literature review. J Clin Pharm Ther 2019;44:1–5.
    1. Lee H, Kane I, Sereika SM, Cho RY, Jolley CJ.. Medication-taking behaviours in young adults with schizophrenia: a pilot study. J Psychiatr Ment Health Nurs 2011;18:418–24.
    1. Misdrahi D, Tessier A, Husky M. et al. Evaluation of adherence patterns in schizophrenia using electronic monitoring (MEMS(R)): a six-month post-discharge prospective study. Schizophr Res 2018;193:114–8.
    1. Brain C, Sameby B, Allerby K. et al. Twelve months of electronic monitoring (MEMS(R)) in the Swedish COAST-study: a comparison of methods for the measurement of adherence in schizophrenia. Eur Neuropsychopharmacol 2014;24:215–22.
    1. Velligan DI, Wang M, Diamond P. et al. Relationships among subjective and objective measures of adherence to oral antipsychotic medications. Psychiatr Serv 2007;58:1187–92.
    1. Parker CS, Chen Z, Price M. et al. Adherence to warfarin assessed by electronic pill caps, clinician assessment, and patient reports: results from the IN-RANGE study. J Gen Intern Med 2007;22:1254–9.
    1. Shuter J, Sarlo JA, Stubbs RO, Rode RA, Zingman BS.. Sequential antiretroviral adherence measurement using electronic bottle cap monitors in a cohort of HIV-infected adults. J Int Assoc Physicians AIDS Care 2012;11:94–7.
    1. Yang J, Ko YH, Paik JW. et al. Symptom severity and attitudes toward medication: impacts on adherence in outpatients with schizophrenia. Schizophr Res 2012;134:226–31.
    1. Marquez-Contreras E, Lopez Garcia-Ramos L, Martell-Claros N. et al. Validation of the electronic prescription as a method for measuring treatment adherence in hypertension. Patient Educ Couns 2018;101:1654–60.
    1. van Driel WD, Yang DG, Yuan CA, van Kleef M, Zhang GQ.. Mechanical reliability challenges for MEMS packages. Capping. Microelectron Reliabil 2007;47:1823–6.
    1. Galloway GP, Coyle JR, Guillen JE, Flower K, Mendelson JE.. A simple, novel method for assessing medication adherence: capsule photographs taken with cellular telephones. J Addict Med 2011;5:170–4.
    1. Forsat ND, Palmowski A, Palmowski Y, Boers M, Buttgereit F.. Recruitment and retention of older people in clinical research: a systematic literature review. J Am Geriatr Soc 2020;68:2955–63.

Source: PubMed

3
Subscribe