Assessment of Methods to Measure Adherence of Antidepressants: A Systematic Review

Authors

  • Nur Aina Abdul Ghafur Department of Pharmaceutical Practice, Kulliyyah of Pharmacy, International Islamic University Malaysia (IIUM), Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang, Malaysia
  • Syahrir Zaini Department of Pharmaceutical Practice, Kulliyyah of Pharmacy, International Islamic University Malaysia (IIUM), Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang, Malaysia
  • Hussam Mizher Department of Pharmaceutical Practice, Kulliyyah of Pharmacy, International Islamic University Malaysia (IIUM), Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang, Malaysia https://orcid.org/0000-0003-2196-8865

DOI:

https://doi.org/10.31436/jop.v4i2.287

Keywords:

Antidepressant, Depression, Methods, Adherence

Abstract

Adherence towards antidepressant agents is a vital element in effectively managing depression. Non-adherence of antidepressants can lead to a recurrence of depressive symptoms and decreased treatment effectiveness. Adherence is assessed using various types of measures. This study aims to evaluate the different methods used to assess the adherence towards antidepressants on adults with depression. This systematic review adhered to the guidelines outlined in the PRISMA statement. PubMed, Cochrane Library, and Scopus are searching from 2013 to 2023 for articles that studied or reported on antidepressant adherence measures in adults with depression. Two authors conducted independent screenings of the articles against the eligibility criteria, examining titles, abstracts, and full-texts. The risk of bias for all included studies were assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Information from all the selected articles was extracted using a predefined table. 15 studies met the eligibility criteria. When measuring adherence towards antidepressant at initiation and/or implementation phase, self-report methods such as Medication Adherence Rating Scale (MARS) demonstrated acceptable reliability and validity, while Brief Medication Questionnaire (BMQ by Svarstad et al.), Morisky Medication Adherence Questionnaire (MAQ), and Brief Adherence Rating Scale (BARS) showed good validity, and Morisky Medication Adherence Scale (MMAS), Morisky Green Levine Adherence (MGLA), Beliefs about Medicine Questionnaire (BMQ by Horne et al.) and Drug Attitude Inventory (DAI-10) showed good reliability. This study found a diverse range of methods to measure adherence towards antidepressant in adults. Self-report assessments, particularly in primary care and psychiatric settings, emerged as the most practical tools followed by clinician-rating scale, pharmacy refill data, adherence scale, pill count, and average serum level. No single measure with consistently shown strong reliability and validity across different adherence stages, highlighting the need for a combined approach.

References

Al-Jumah, K., Ahmad Hassali, A., & AlQhatani, S. (2014). Examining the relationship between adherence and satisfaction with antidepressant treatment. Neuropsychiatric Disease and Treatment, 2014:10, 1433–1438. https://doi.org/10.2147/ndt.s67008

Alhalaiqa, F., Deane, K. H. O., Nawafleh, A. H., Clark, A., & Gray, R. (2011). Adherence therapy for medication non-compliant patients with hypertension: a randomised controlled trial. Journal of Human Hypertension, 26(2), 117–126. https://doi.org/10.1038/jhh.2010.133

Aljumah, K., & Hassali, M. (2015). Impact of pharmacist intervention on adherence and measurable patient outcomes among depressed patients: a randomised controlled study. BMC Psychiatry, 15(1). https://doi.org/10.1186/s12888-015-0605-8

Anghel, L. A., Farcas, A. M., & Oprean, R. N. (2019). An overview of the common methods used to measure treatment adherence. Medicine and Pharmacy Reports, 92(2), 117–122. https://doi.org/10.15386/mpr-1201

Asunta, P., Viholainen, H., Ahonen, T., & Rintala, P. (2019). Psychometric properties of observational tools for identifying motor difficulties – a systematic review. BMC Pediatrics, 19(1). https://doi.org/10.1186/s12887-019-1657-6

Berchtold, A. (2016). Test–retest: Agreement or reliability? Methodological Innovations, 9(1), 205979911667287. https://doi.org/10.1177/2059799116672875

Brown, C., Battista, D. R., Bruehlman, R., Sereika, S. S., Thase, M. E., & Dunbar-Jacob, J. (2005). Beliefs About Antidepressant Medications in Primary Care Patients. Medical Care, 43(12), 1203–1207. https://doi.org/10.1097/01.mlr.0000185733.30697.f6

Burnett-Zeigler, I., Kim, H. M., Chiang, C., Kavanagh, J., Zivin, K., Rockefeller, K., Sirey, J. A., & Kales, H. C. (2013). The association between race and gender, treatment attitudes, and antidepressant treatment adherence. International Journal of Geriatric Psychiatry, 29(2), 169–177. https://doi.org/10.1002/gps.3984

Chand, S. P., & Arif, H. (2021). Depression. PubMed; StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK430847

Chauhan, N., Chakrabarti, S., & Grover, S. (2021). Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures. Journal of Neurosciences in Rural Practice, 13(01), 012–022. https://doi.org/10.1055/s-0041-1736155

Cristea, I. A., Karyotaki, E., Hollon, S. D., Cuijpers, P., & Gentili, C. (2019). Biological markers evaluated in randomized trials of psychological treatments for depression: a systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 101, 32–44. https://doi.org/10.1016/j.neubiorev.2019.03.022

Dell’Osso, B., Albert, U., Carrà, G., Pompili, M., Nanni, M. G., Pasquini, M., Poloni, N., Raballo, A., Sambataro, F., Serafini, G., Viganò, C., Demyttenaere, K., McIntyre, R. S., & Fiorillo, A. (2020). How to improve adherence to antidepressant treatments in patients with major depression: a psychoeducational consensus checklist. Annals of General Psychiatry, 19(1). https://doi.org/10.1186/s12991-020-00306-2

Gast, A., & Mathes, T. (2019). Medication Adherence Influencing Factors—an (updated) Overview of Systematic Reviews. Systematic Reviews, 8(1). https://doi.org/10.1186/s13643-019-1014-8

Griethuijsen, R. A. L. F., van Eijck, M. W., Haste, H., den Brok, P. J., Skinner, N. C., Mansour, N., Savran Gencer, A., & BouJaoude, S. (2014). Global Patterns in Students’ Views of Science and Interest in Science. Research in Science Education, 45(4), 581–603. https://doi.org/10.1007/s11165-014-9438-6

Horne, R., Weinman, J., & Hankins, M. (1999). The beliefs about medicines questionnaire: The development and evaluation of a new method for assessing the cognitive representation of medication. Psychology & Health, 14(1), 1–24. https://doi.org/10.1080/08870449908407311

Interian, A. (2010). A Brief Self-Report Measure to Assess Antidepressant Adherence Among Spanish-Speaking Latinos. Journal of Clinical Psychopharmacology, 30(6), 755–757. https://doi.org/10.1097/jcp.0b013e3181fb57f8

Jimmy, B., & Jose, J. (2020). Patient Medication Adherence: Measures in Daily Practice. Oman Medical Journal, 26(3), 155–159. https://doi.org/10.5001/omj.2011.38

Krousel?Wood, M., Islam, T., Webber, L. S., Ré, R. N., Morisky, D. E., & Muntner, P. (2009). New medication adherence scale versus pharmacy fill rates in seniors with hypertension. Am J Manag Care. 2009, 15(1), 59–66.

Lam, W. Y., & Fresco, P. (2015). Medication Adherence Measures: An Overview. BioMed Research International, 2015(217047), 1–12. https://doi.org/10.1155/2015/217047

Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Analyzing qualitative data. Research Methods in Human Computer Interaction, 299–327. https://doi.org/10.1016/b978-0-12-805390-4.00011-x

Leggett, A., Kavanagh, J., Zivin, K., Chiang, C., Kim, H. M., & Kales, H. C. (2015). The Association Between Benzodiazepine Use and Depression Outcomes in Older Veterans. Journal of Geriatric Psychiatry and Neurology, 28(4), 281–287. https://doi.org/10.1177/0891988715598227

Marasine, N. R., Sankhi, S., Lamichhane, R., Marasini, N. R., & Dangi, N. B. (2020). Self-Reported Antidepressant Drug Side Effects, Medication Adherence, and Its Associated Factors among Patients Diagnosed with Depression at the Psychiatric Hospital of Nepal. Depression Research and Treatment, 2020, 1–7. https://doi.org/10.1155/2020/7024275

McGuinness, L. A., & Higgins, J. P. T. (2020). Risk?of?bias VISualization (robvis): An R package and Shiny web app for visualizing risk?of?bias assessments. Research Synthesis Methods, 12(1). https://doi.org/10.1002/jrsm.1411

Morisky, D. E., Green, L. W., & Levine, D. M. (1986). Concurrent and Predictive Validity of a Self-reported Measure of Medication Adherence. Medical Care, 24(1), 67–74. https://doi.org/10.1097/00005650-198601000-00007

Morisky, D. E., Ang, A., Krousel-Wood, M., & Ward, H. J. (2008). Predictive Validity of a Medication Adherence Measure in an Outpatient Setting. The Journal of Clinical Hypertension, 10(5), 348–354. https://doi.org/10.1111/j.1751-7176.2008.07572.x

Morisky, D. E., & DiMatteo, M. R. (2011). Improving the measurement of self-reported medication nonadherence: Response to Authors. Journal of Clinical Epidemiology, 64(3), 255–257. https://doi.org/10.1016/j.jclinepi.2010.09.002

Novick, D., Montgomery, W., Moneta, V., Peng, X., Brugnoli, R., & Haro, J. M. (2015). Antidepressant medication treatment patterns in Asian patients with major depressive disorder. Patient Preference and Adherence, 2015:9, 421–428. https://doi.org/10.2147/ppa.s68432

Ormel, J., Kessler, R. C., & Schoevers, R. (2019). Depression. Current Opinion in Psychiatry, 32(4), 348–354. https://doi.org/10.1097/yco.0000000000000505

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & McGuinness, L. A. (2021). The PRISMA 2020 statement: an Updated Guideline for Reporting Systematic Reviews. British Medical Journal, 372(71). https://doi.org/10.1136/bmj.n71

Rickles, N. M., Mulrooney, M., Sobieraj, D., Hernandez, A. V., Manzey, L. L., Gouveia-Pisano, J. A., Townsend, K. A., Luder, H., Cappelleri, J. C., & Possidente, C. J. (2023). A systematic review of primary care-focused, self-reported medication adherence tools. Journal of the American Pharmacists Association: JAPhA, 63(2), 477-490.e1. https://doi.org/10.1016/j.japh.2022.09.007

Rossom, R. C., Shortreed, S., Coleman, K. J., Beck, A., Waitzfelder, B. E., Stewart, C., Ahmedani, B. K., Zeber, J. E., & Simon, G. E. (2016). Antidepressant Adherence across Diverse Populations and Healthcare Settings. Depression and Anxiety, 33(8), 765–774. https://doi.org/10.1002/da.22532

Ruetsch, C., Liberman, J., Davis, T., Sajatovic, M., Velligan, D., & Forma, F. (2022). The Effect of Objectively Collected Medication Adherence Information on Bipolar I and Major Depressive Disorder Treatment Decisions: A Randomized Case Vignette Study of Psychiatric Clinicians. Journal of Affective Disorders Reports, 100344. https://doi.org/10.1016/j.jadr.2022.100344

Sansone, R. A., & Sansone, L. A. (2019). Antidepressant adherence: are patients taking their medications? Innovations in Clinical Neuroscience, 9(5-6), 41–46. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398686/

Shiomi, M., Kurobuchi, M., Tanaka, Y., Takada, T., & Otori, K. (2021). Pill Counting in the Determination of Factors Affecting Medication Adherence in Patients with Type 2 Diabetes: A Retrospective Observational Study. Diabetes Therapy, 12. https://doi.org/10.1007/s13300-021-01091-1

Shoji, M., Maeda, H., Watanabe, F., Kazunori Tanuma, Fujiwara, A., Iwanaga, Y., Shimada, A., & Onda, M. (2023). A non-randomized, controlled, interventional study to investigate the effects of community pharmacists’ cognitive behavioral therapy–based interventions on medication adherence and relevant indicators in patients with depression. BMC Psychiatry, 23(1). https://doi.org/10.1186/s12888-023-04602-5

Sirey, J. A., Banerjee, S., Marino, P., Bruce, M. L., Halkett, A., Turnwald, M., Chiang, C., Liles, B., Artis, A., Blow, F., & Kales, H. C. (2017). Adherence to Depression Treatment in Primary Care. JAMA Psychiatry, 74(11), 1129. https://doi.org/10.1001/jamapsychiatry.2017.3047

Srimongkon, P., Aslani, P., & Chen, T. F. (2019). A systematic review of measures of medication adherence in consumers with unipolar depression. Research in Social and Administrative Pharmacy, 15(1), 3–22. https://doi.org/10.1016/j.sapharm.2018.02.008

Stewart, S.-J. F., Moon, Z., & Horne, R. (2022). Medication nonadherence: health impact, prevalence, correlates, and interventions. Psychology & Health, 1–40. https://doi.org/10.1080/08870446.2022.2144923

Svarstad, B. L., Chewning, B. A., Sleath, B. L., & Claesson, C. (1999). The brief medication questionnaire: A tool for screening patient adherence and barriers to adherence. Patient Education and Counseling, 37(2), 113–124. https://doi.org/10.1016/s0738-3991(98)00107-4

Taber, K. S. (2018). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

Teeng, L. P., Guan, N. C., Kadir, M. S., & Ling, T. S. (2021). Reminder through mobile messaging application improves outpatient attendance and medication adherence among patients with depression: An open-label randomised controlled trial. Medical Journal of Malaysia, 76(5), 617–623.

Vrijens, B., De Geest, S., Hughes, D. A., Przemyslaw, K., Demonceau, J., Ruppar, T., Dobbels, F., Fargher, E., Morrison, V., Lewek, P., Matyjaszczyk, M., Mshelia, C., Clyne, W., Aronson, J. K., & Urquhart, J. (2012). A new taxonomy for describing and defining adherence to medications. British Journal of Clinical Pharmacology, 73(5), 691–705. https://doi.org/10.1111/j.1365-2125.2012.04167.x

Warden, D., Trivedi, M. H., Carmody, T., Toups, M., Zisook, S., Lesser, I., Myers, A., Kurian, K. R. B., Morris, D., & John Rush, A. (2014). Adherence to Antidepressant Combinations and Monotherapy for Major Depressive Disorder. Journal of Psychiatric Practice, 20(2), 118–132. https://doi.org/10.1097/01.pra.0000445246.46424.fe

Wikberg, C., Westman, J., Petersson, E-L., Larsson, M. E. H., André, M., Eggertsen, R., Thorn, J., Ågren, H., & Björkelund, C. (2017). Use of a self-rating scale to monitor depression severity in recurrent GP consultations in primary care – does it really make a difference? A randomised controlled study. BMC Family Practice, 18(1). https://doi.org/10.1186/s12875-016-0578-9

Yusuf, H., Magaji, M. G., Maiha, B. B., Yakubu, S. I., Haruna, W. C., & Mohammed, S. (2021). Impact of pharmacist intervention on antidepressant medication adherence and disease severity in patients with major depressive disorder in fragile north-east Nigeria. Journal of Pharmaceutical Health Services Research, 12(2021). https://doi.org/10.1093/jphsr/rmab030

Downloads

Published

2024-07-31

How to Cite

Abdul Ghafur, N. A., Zaini, S., & Mizher, H. (2024). Assessment of Methods to Measure Adherence of Antidepressants: A Systematic Review. Journal of Pharmacy, 4(2), 260–278. https://doi.org/10.31436/jop.v4i2.287

Issue

Section

Review Articles

Most read articles by the same author(s)