Self-report instruments for assessing medication adherence validated in Brazil: a scoping review

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DOI:

https://doi.org/10.30968/jhphs.2025.161.1212

Abstract

Objective: To identify validated self-report instruments measuring medication adherence in Brazil. Methodology: A systematic search was conducted in the databases PubMed/Medline, Scopus, Web of Science, EMBASE, and LILACS to identify validation studies of self-report adherence instruments conducted in Brazil until September 2023. The following health descriptors were used for study identification: “medication adherence,” “self-report,” “patient-reported outcome measures,” “validation study,” and “psychometrics.” Article selection was performed by two independent reviewers based on established eligibility criteria. The quality of the studies was assessed using the COSMIN checklist. Results: The initial search identified 329 studies, of which 9 were included in this review. Nine instruments were identified: BAASIS, CEAT-VIH, MAT, MMAS-8, ITAS, QAM-Q, PEDIA, SEA-ART, and WebAd-Q, which were validated for patients with chronic hypertension, transplant patients on immunosuppressants, patients with HIV undergoing antiretroviral treatment, and patients in general outpatient care. The PEDIA and SEA-ART scales showed the highest internal consistencies, while BAASIS and MMAS-8 demonstrated greater test-retest stability. Regarding construct validity, the SEA-ART and QAM-Q scales exhibited the highest combined sensitivity and specificity values. Conclusion: Although they offer advantages, few self-report instruments for measuring medication adherence have been validated in Brazilian patient samples. The heterogeneity of results regarding psychometric properties and validation tests focused on specific clinical conditions does not allow for broad recommendations for any instrument at this time; it is necessary to consider the type of patient and the advantages of each instrument for the chosen population. Additionally, several chronic health conditions still lack adequately validated instruments, such as diabetes mellitus, cardiovascular diseases like angina and heart failure, among others.

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References

Vrijens B, Burnier M, de La Motte S, et al. A new taxonomy for describing and defining adherence to medications. Br J Clin Pharmacol. 2012;73(5):691-705. doi:10.1111/j.1365-2125.2012.04167.x.

Muiruri C, Kachoria A, Manemann S, et al. A Quantitative Framework for Medication Non-Adherence: Integrating Patient Treatment Expectations and Preferences. Patient Prefer Adherence. 2023;17:3135-3145. doi:10.2147/PPA.S434640.

Organização Mundial de Saúde (OMS). Adherence to long-term therapies: evidence for action. Geneva: World Health Organization; 2003.

Chakrabarti S. What’s in a name? Compliance, adherence and concordance in chronic psychiatric disorders. World J Psychiatry. 2014;4(2):30. doi:10.5498/wjp.v4.i2.30.

Jin J, Sklar GE, Min Sen Oh V, et al. Factors affecting therapeutic compliance: A review from the patient’s perspective. Ther Clin Risk Manag. 2008;4:269-286. doi:10.2147/TCRM.S1458.

Krousel-Wood M, Islam T, Webber LS, et al. Medication Adherence: Expanding the Conceptual Framework. Am J Hypertens. 2021;34(9):895-909. doi:10.1093/ajh/hpab046.

Nguyen TMU, Caze AL, Cottrell N. What are validated self-report adherence scales really measuring? A systematic review. Br J Clin Pharmacol. 2014;77(3):427-445. doi:10.1111/bcp.12194.

Lam WY, Fresco P. Medication Adherence Measures: An Overview. Biomed Res Int. 2015;2015:217047. doi:10.1155/2015/217047.

Chan AHY, Horne R, Hankins M, Chisari C. The Medication Adherence Report Scale: A measurement tool for eliciting patients' reports of nonadherence. Br J Clin Pharmacol. 2020;86(7):1281-1288. doi:10.1111/bcp.14193.

Swan K, Trimmer K, Hitt T, et al. Measuring what matters in healthcare: A practical guide to psychometric principles and instrument development. Front Psychol. 2023;17(14). doi:10.3389/fpsyg.2023.1225850.

Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467-473. doi:10.7326/M18-0850.

Mokkink LB, Prinsen CA, Bouter LM, et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res. 2010;19(4):539–549. doi:10.1007/s11136-010-9606-8.

Streiner DL, Kottner J. Recommendations for reporting the results of studies of instrument and scale development and testing. J Adv Nurs. 2014;70(9):1970-1979. doi:10.1111/jan.12402.

McDonald RP. Test structure and its relationship to reliability and validity. Psychol Methods. 1999;8(9):8.

Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155-163. doi:10.1016/j.jcm.2016.02.012.

ESTGV - Escola Superior de Tecnologia e Gestão de Viseu. Coeficiente de Correlação Ró de Spearman — ρ. Available at: https://pt.scribd.com/document/339210992/Coeficientede-Correlacao-Ro-de-Spearman. Accessed on: Mar 30, 2024.

Terwee CB, Bot SDM, de Boer MR, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34-42. doi:10.1016/j.jclinepi.2006.03.012.

Martins GA. Sobre confiabilidade e validade. Rev Bras Gest Neg. 2006;8(20):1-12.

Zinbarg RE, Revelle W, Yovel I, et al. Cronbach’s α, Revelle’s β, and McDonald’s ω H: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika. 2005;70:123-133.

Souza AC, Silva D, Almeida RM, et al. Propriedades psicométricas na avaliação de instrumentos: Avaliação da confiabilidade e da validade. Epidemiol Serv Saude. 2017;26(3):649-659. doi:10.5123/S1679-49742017000300022.

Berg M, Kjellgren K, Wettermark B, et al. Factors influencing medication adherence in patients with chronic diseases: A systematic review. Patient Prefer Adherence. 2021;15:1457-1472. doi:10.2147/PPA.S313362.

Brasil, Ministério da Saúde. Brasil registra queda de óbitos por AIDS, mas a doença ainda mata mais pessoas negras do que brancas. Available at: https://www.gov.br/saude/ptbr/assuntos/noticias/2023/novembro/brasil-registra-quedade-obitos-por-aids-mas-doenca-ainda-mata-mais-pessoasnegras-do-que-brancas. Accessed on: Mar 30, 2024.

Vale FC, Almeida Júnior EP, Lima M, et al. Development and validation of the WebAd-Q Questionnaire to monitor adherence to HIV therapy. Rev Saude Publica. 2018;52:62. doi:10.11606/S1518-8787.2018052000337.

Almeida-Brasil CC, Silva HR, Souza RC, et al. New patient reported outcome measure to assess perceived barriers to antiretroviral therapy adherence: the PEDIA scale. Cad Saude Publica. 2019;35(5):e00184218. doi:10.1590/0102-311x00184218.

Leite JCC, Drachler ML, Teixeira LB. Desenvolvimento de uma escala de autoeficácia para adesão ao tratamento antirretroviral. Psicol Reflex Crit. 2002;15(1):121-133. doi:10.1590/S0102-79722002000100014.

Drachler ML, Leite JCC, Lopes VF, et al. The Scale of Self-Efficacy Expectations of Adherence to Antiretroviral Treatment: A Tool for Identifying Risk for Non-Adherence to Treatment for HIV. PLoS One. 2016;11(2):e0147443. doi:10.1371/journal.pone.0147443.

Remor E, Milner-Moskovics J, Preussler G. Adaptação brasileira do “Cuestionario para la Evaluación de la Adhesión al Tratamiento Antiretroviral”. Rev Saude Publica. 2007;41(5):685-694. doi:10.1590/S0034-89102006005000043.

Jesus-Nunes AP, Andrade E, Porto G, et al. The Portuguese version of the immunosuppressant therapy adherence scale (ITAS) among liver transplant recipient patients: translation and psychometric properties. Ann Hepatol. 2018;17(1):104-109. doi:10.5604/01.3001.0012.5539.

Oliveira-Filho AD, Barreto-Filho JA, Neves SJF, et al. The 8-item Morisky Medication Adherence Scale: Validation of a Brazilian–Portuguese version in hypertensive adults. Res Social Adm Pharm. 2014;10(3):554-561. doi:10.1016/j.sapharm.2013.10.006.

Helena ETS, Nemes MIB, Eluf-Neto J. Desenvolvimento e validação de questionário multidimensional para medir não- adesão ao tratamento com medicamentos. Rev Saude Publica. 2008;42(4):764-767. doi:10.1590/S0034-89102008000400025.

De Vet H, Terwee C, Mokkink L, et al. Measurement in Medicine: A Practical Guide. 1st ed. New York, NY: Cambridge University Press; 2011:610-624.

Streiner DL, Kottner J. Recommendations for reporting the results of studies of instrument and scale development and testing. J Adv Nurs. 2014;70(9):1970-1979. doi:10.1111/jan.12402.

Carvalho ARS, Lopes MVO, Sousa VD, et al. Adaptation and validation of an oral anticoagulation measurement of treatment adherence instrument. Rev Lat Am Enfermagem. 2010;18(3):301-308. doi:10.1590/S0104-11692010000300002.

Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate Data Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall; 1998.

Marsicano EO, Marques I, Cabral A, et al. Transcultural adaptation and initial validation of Brazilian-Portuguese version of the Basel assessment of adherence to immunosuppressive medications scale (BAASIS) in kidney transplants. BMC Nephrol. 2013;14:31. doi:10.1186/1471-2369-14-31.

Published

2025-03-18

How to Cite

1.
DE ARAÚJO VE, RESENDE CL, MELO-SOUZA CE, VIANA-OLIVEIRA CR, OLIVEIRA-FILHO AD. Self-report instruments for assessing medication adherence validated in Brazil: a scoping review. J Hosp Pharm Health Serv [Internet]. 2025Mar.18 [cited 2025Apr.2];16(1):e1212. Available from: https://jhphs.org/sbrafh/article/view/1212

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ORIGINAL ARTICLES