ABSTRACT

OBJECTIVE

To analyze factors associated with low adherence to drug treatment for chronic diseases in Brazil.

METHODS

Analysis of data from Pesquisa Nacional sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos (PNAUM - Brazilian Survey on Access, Use and Promotion of Rational Use of Medicines), a population-based cross-sectional household survey, based on a probabilistic sample of the Brazilian population. We analyzed the association between low adherence to drug treatment measured by the Brief Medication Questionnaire and demographic, socioeconomic, health, care and prescription factors. We used Poisson regression model to estimate crude and adjusted prevalence ratios, their respective 95% confidence interval (95%CI) and p-value (Wald test).

RESULTS

The prevalence of low adherence to drug treatment for chronic diseases was 30.8% (95%CI 28.8-33.0). The highest prevalence of low adherence was associated with individuals: young adults; no education; resident in the Northeast and Midwest Regions of Brazil; paying part of the treatment; poor self-perceived health; three or more diseases; reported limitations caused by a chronic disease; using five drugs or more.

CONCLUSIONS

Low adherence to drug treatment for chronic diseases in Brazil is relevant, and regional and demographic differences and those related to patients’ health care and therapy regime require coordinated action between health professionals, researchers, managers and policy makers.

Patient Dropouts; Medication Adherence; Drugs of Continuous Use; Chronic Disease; Health Services Accessibility; Socioeconomic Factors; Health Surveys

INTRODUCTION

Noncommunicable diseases, a global health problem, are the target of various prevention and control programs and initiatives¹1. Alleyne G, Binagwaho A, Haines A, Jahan S, Nugent R, Rojhani A et al. Embedding non-communicable diseases in the post-2015 development agenda. Lancet. 2013;381(9866):566-74. DOI:10.1016/S0140-6736(12)61806-6
https://doi.org/10.1016/S0140-6736(12)61... . Many noncommunicable diseases can be controlled by the use of drugs, which, when available and properly used, lead to therapeutic success. An important factor that directly influences therapeutic outcomes is adherence to drug treatment, defined as the degree of agreement between a person’s behavior and professional guidance²²22. World Health Organization. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization; 2003..

Factors related to non-adherence to treatment described in the literature concern individual characteristics of patients, the actual disease, the drugs used and interaction between patients and health services, among others²⁰20. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... . The characteristics of certain health conditions or therapies may lead to specific barriers to adherence. For some asymptomatic diseases such as high blood pressure, patients may have difficulty to use drugs regularly because of the lack of visible symptoms or understanding of the disease’s behavior¹⁵15. Osterberg L, Blaschke T. Adherence to medication. New Engl J Med. 2005;353(5):487-97. DOI:10.1056/NEJMra050100
https://doi.org/10.1056/NEJMra050100... . For illnesses that require complex regimes (polypharmacy, multiple daily administrations, difficulties with administration), such as asthma and diabetes, the actual daily difficulties associated with the use of drugs are an important barrier to adherence³3. Coleman CI, Limone B, Sobieraj DM, Lee S, Roberts MS, Kaur R et al. Dosing frequency and medication adherence in chronic disease. J Manag Care Pharm. 2012;18(7):527-39. DOI:10.18553/jmcp.2012.18.7.527
https://doi.org/10.18553/jmcp.2012.18.7.... .

According to the World Health Organization (WHO), non-adherence to long-term treatment in the population at large is around 50.0%²⁰20. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... . In a systematic review summarizing studies published over 50 years, DiMatteo⁵5. DiMatteo MR. Variations in patients’ adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42(3):200-9. DOI:10.1097/01.mlr.0000114908.90348.f9
https://doi.org/10.1097/01.mlr.000011490... (2004) identified an average non-adherence rate of 24.8%.

Brazil lacks sufficient evidence on the prevalence of low adherence among patients with chronic diseases based on nationwide studies. The available studies used local or regional samples¹⁷17. Remondi FA, Cabrera MAS, Souza RKT. Não adesão ao tratamento medicamentoso contínuo: prevalência e determinantes em adultos de 40 anos e mais. Cad Saude Publica. 2014;30(1):126-36. DOI:10.1590/0102-311X00092613
https://doi.org/10.1590/0102-311X0009261... , population subgroups (such as older adults)²⁰20. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... , or focused on specific chronic diseases such as high blood pressure⁶6. Ferreira RA, Barreto SM, GIatti L. Hipertensão arterial referida e utilização de medicamentos de uso contínuo no Brasil: um estudo de base populacional. Cad Saude Publica. 2014;30(4):815-26. DOI:10.1590/0102-311X00160512
https://doi.org/10.1590/0102-311X0016051... ^,77. Girotto E, Andrade SM, Cabrera MA, Matsuo T. Adesão ao tratamento farmacológico e não farmacológico e fatores associados na atenção primária da hipertensão arterial. Ciênc Saude Coletiva. 2013;18(6):1763-72. DOI:10.1590/S1413-81232013001400027
https://doi.org/10.1590/S1413-8123201300... ^,1818. Santa-Helena ETD, Nemes MIB, Eluf Neto J. Fatores associados à não-adesão ao tratamento com anti-hipertensivos em pessoas atendidas em unidades de saúde da família. Cad Saude Publica. 2010;26(12):2389-98. DOI:10.1590/S0102-311X2010001200017
https://doi.org/10.1590/S0102-311X201000... . Therefore, studies that estimate treatment adherence among the Brazilian population with chronic diseases are important to support health policy and practice aimed at improving access to and rational use of drugs.

The aim of this study was to analyze factors associated with low adherence to drug treatment for chronic diseases in Brazil.

METHODS

The data analyzed in this study are from Pesquisa Nacional sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos (PNAUM – National Survey on Access, Use and Promotion of Rational Use of Medicines), a population-based cross-sectional household survey, based on a probabilistic sample of the Brazilian population. Data were collected from September 2013 to February 2014. The study population lived in permanent private households in urban areas of Brazil, and included individuals of all ages. Face-to-face interviews were carried out in households using questionnaires, and data were collected and stored in electronic devices. The tools were developed by a group of expert researchers from Brazilian universities and standardized and tested before being administered.

The complex sampling process resulted in a sample that ensured national representation for the five Brazilian regions, stratified by gender and age groups. Further details on sampling and data collection can be found in the PNAUM methodology article¹³13. Mengue SS, Bertoldi AD, Boing AC, NUL Tavares, Silva Dal Pizzol T da, Oliveira MA, et al. Pesquisa Nacional sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos (PNAUM): métodos do inquérito domiciliar. Rev Saude Publica. 2016;50(supl 2):4s. DOI:10.1590/S1518-8787.2016050006156
https://doi.org/10.1590/S1518-8787.20160... . This study included adults aged 20 or older who reported at least one chronic disease diagnosed at least six months prior to the interview (n = 14,358). The investigation on adherence to drug treatment included all subjects who reported medical indication for treatment and were using medication for the chronic diseases mentioned at the interview (n = 11,842).

To assess adherence reported by patients, we used the Brief Medication Questionnaire (BMQ), composed of three areas that identify barriers to adherence related to the regime, beliefs, and memories of the drug treatment. We used the BMQ²2. Ben AJ, Neumann CR, Mengue SS. Teste de Morisky-Green e Brief medication Questionnaire para avaliar adesão a medicamentos. Rev Saude Publica. 2012;46(2):279-89. DOI:10.1590/S0034-89102012005000013
https://doi.org/10.1590/S0034-8910201200... version translated into Portuguese, which classifies individuals into four categories of adherence to treatment, according to the number of positive responses in any of the areas: high adherence (none), likely high adherence (1), likely low adherence (2), and low adherence (3 or more). The outcome analyzed in this study was prevalence of low adherence to treatment, considered as a score of 2 or more in any field.

The variables related to demographic and socioeconomic characteristics were: gender (female; male); age group (20-39; 40-59; 60 and over); self-reported skin color (white, non-white), marital status (with partner; without partner); education reported in grades and reclassified in years of study (0, 1-8, 8 years or more); economic status according to Critério de Classificação Econômica Brazil (Brazilian Economic Classification Criterion) of Associação Brasileira de Empresas de Pesquisa (ABEP – Brazilian Association of Survey Companies [A/B; C; D/E]), geographic region of residence (North, Northeast, Southeast, South, Midwest) and whether the respondent had health insurance.

Regarding health care, we analyzed the number of hospitalizations and emergency visits in the previous year (none, one, two or more), if the individual visits and has a single doctor to treat the diseases, and free access to medicines (all drugs; any drug; no drugs).

Regarding perception of health and morbidities, the following variables were evaluated: number of chronic diseases reported (high blood pressure; diabetes; stroke; lung disease; depression; rheumatism; other chronic diseases lasting more than six months) grouped into one, two, three or more conditions; self-perceived health, analyzed in five categories (very poor; poor; average; good; very good); and reported limitations related to at least one chronic disease. Regarding drug use, we analyzed the number of drugs used (continuous or occasional) (1; 2; 3 or 4; 5 or more).

The analyses were performed with Stata version 11.0 software, using the appropriate set of svy commands to analyze complex samples and ensuring the necessary weighting, considering the sample design. Exploratory descriptive analysis was performed for all the variables involved in the study, presenting the relative frequencies and respective 95% confidence intervals (95%CI). For the univariate analysis, the BMQ score was dichotomized, considering as low adherence a score of two or more. In the crude analysis, the prevalence of low adherence to treatment was calculated for the categories of the independent variables, considering the dichotomous outcome. A 5% significance level was adopted.

We used Poisson regression model to estimate crude and adjusted prevalence ratios (PR) and 95%CI, considering the effect of the sample design with Stata svy commands. We attempted to control possible confounding factors in the multivariate analysis, using a hierarchical analysis model (Figure). Variables with p < 0.20 were included in the multivariate model, and we adopted a significance level of 5% to retain variables in the model, with “backward” selection of variables. The statistical significance of prevalence ratios obtained in Poisson regression models was assessed by the Wald test.

The study was approved by the Comissão Nacional de Ética em Pesquisa (National Research Ethics Committee – Opinion 398,131, of September 6, 2013). All interviews were conducted after the respondents or their legal representatives had read and signed the consent form.

RESULTS

Table 1 shows the adherence classification according to BMQ. The prevalence of low adherence (dichotomized score) to drug treatment for chronic diseases in Brazil was 30.8% (95%CI 28.8-33.0) and only 2.6% (95%CI 2.1-3.2) of respondents were classified as adhering to prescribed therapies (no positive response in the evaluated areas).

The sample breakdown and prevalence of low adherence in relation to socioeconomic and demographic characteristics are shown in Table 2. Prevalence of low adherence (statistically significant) was higher in the following categories: younger individuals (20-39 years) and those residing in the Northeast and Midwest Regions. Prevalence of low adherence was also higher, although not statistically significant, among individuals who were female, non-white, reported not having a partner and having no education, D/E economic status, and without health insurance.

The characteristics of individuals with low adherence to treatment related to health care, self-perception and morbidities, and the use of drugs, are presented in Table 3. Prevalence of low adherence was higher in those individuals who do not see a doctor to treat chronic diseases, although it was not statistically significant. On the other hand, individuals visiting more than one doctor to treat those diseases had a 47.0% higher likelihood of low adherence to treatment than those who had only one doctor. Those who had to pay part of the treatment, had two or more hospitalizations, or received emergency care in the previous year had an 80.0% lower adherence to treatment, approximately.

Self-perceived health was strongly associated with low adherence to treatment, i.e., the likelihood of low adherence was about three times higher in those with poor or very poor self-perceived health. Regarding the number of chronic diseases, among those with three or more, prevalence of low adherence was about double that of individuals with only one disease. Those who reported limitations caused by chronic diseases had about 80.0% lower adherence to treatment.

Regarding the therapy regimen used to treat reported chronic diseases, those who were taking five or more drugs had 2.4 times lower adherence to treatment than those who used only one drug.

Table 4 features the results of the crude and adjusted analyses. In the crude analysis, the variables skin color, marital status, economic status and seeing a doctor to treat chronic diseases were not statistically significant and therefore did not enter the adjusted analysis model. After adjustment for potential confounders in the multivariate analysis, the variables gender, level of education, number of hospitalizations in the last 12 months and self-perceived health lost their statistical significance. The following remained associated with low adherence to treatment for chronic diseases after the adjusted analysis: age, region, health insurance, number of doctors seen to treat chronic diseases, free access to therapy, number of emergency visits in the last 12 months, number of chronic diseases, limitation caused by disease and use of medicines.

DISCUSSION

Adherence is a multidimensional phenomenon determined by the interaction of a set of factors that affect people’s behavior and ability to follow treatment²²22. World Health Organization. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization; 2003.. This study evaluated for the first time the factors associated with low adherence to treatment for chronic diseases in a representative sample of the Brazilian population aged 20 or more, contributing to build evidence on the subject to guide intervention strategies to improve treatment adherence among these patients.

About a third of the adult population showed low adherence to drug treatment for chronic diseases, a result similar to the systematic review that summarized data from international studies on the subject published over 50 years (1948 to 1998)⁵5. DiMatteo MR. Variations in patients’ adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42(3):200-9. DOI:10.1097/01.mlr.0000114908.90348.f9
https://doi.org/10.1097/01.mlr.000011490... . Previous national studies showed great variability in prevalence, ranging from 17.0% to 63.5%⁶6. Ferreira RA, Barreto SM, GIatti L. Hipertensão arterial referida e utilização de medicamentos de uso contínuo no Brasil: um estudo de base populacional. Cad Saude Publica. 2014;30(4):815-26. DOI:10.1590/0102-311X00160512
https://doi.org/10.1590/0102-311X0016051... ^,77. Girotto E, Andrade SM, Cabrera MA, Matsuo T. Adesão ao tratamento farmacológico e não farmacológico e fatores associados na atenção primária da hipertensão arterial. Ciênc Saude Coletiva. 2013;18(6):1763-72. DOI:10.1590/S1413-81232013001400027
https://doi.org/10.1590/S1413-8123201300... ^,1717. Remondi FA, Cabrera MAS, Souza RKT. Não adesão ao tratamento medicamentoso contínuo: prevalência e determinantes em adultos de 40 anos e mais. Cad Saude Publica. 2014;30(1):126-36. DOI:10.1590/0102-311X00092613
https://doi.org/10.1590/0102-311X0009261... ^,1818. Santa-Helena ETD, Nemes MIB, Eluf Neto J. Fatores associados à não-adesão ao tratamento com anti-hipertensivos em pessoas atendidas em unidades de saúde da família. Cad Saude Publica. 2010;26(12):2389-98. DOI:10.1590/S0102-311X2010001200017
https://doi.org/10.1590/S0102-311X201000... ^,2020. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... , but comparing results requires care because of the significant differences between studies in range of samples (local or regional), population subgroups, or focus on specific chronic diseases, such as high blood pressure.

The relationship between socioeconomic factors, such as income and education, and treatment adherence is widely investigated and previous studies have found an association between these variables and adherence, especially in chronic diseases⁵5. DiMatteo MR. Variations in patients’ adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42(3):200-9. DOI:10.1097/01.mlr.0000114908.90348.f9
https://doi.org/10.1097/01.mlr.000011490... . In this study, low adherence to treatment was higher in individuals with lower levels of educationa, showing that this is a factor that must be considered in health care. Such patients require guidance regarding treatment to better understand the prescribed therapy regimens. On the other hand, economic status was not associated with the treatment of chronic diseases in Brazil.

Regarding demographic factors, the literature suggests that individuals who are young, male, and black show lower adherence to treatment ⁷7. Girotto E, Andrade SM, Cabrera MA, Matsuo T. Adesão ao tratamento farmacológico e não farmacológico e fatores associados na atenção primária da hipertensão arterial. Ciênc Saude Coletiva. 2013;18(6):1763-72. DOI:10.1590/S1413-81232013001400027
https://doi.org/10.1590/S1413-8123201300... ^,99. Krousel-Wood M, Islam T, Webber LS, Re RN, Morisky DE, Muntner P. New medication adherence scale versus pharmacy fill rates in seniors with hypertension. Am J Manag Care. 2009;15(1):59-66.. Our findings indicate that, among the Brazilian population, there is no significant difference between men and women, but younger people show lower adherence to treatment.

Residents of the Northeast and Midwest Regions had greater prevalence of low adherence to treatment than other regions, a result previously found by a study that evaluated the prevalence and factors associated with the non-use of continuous drugs among individuals who reported diagnosis of high blood pressure in the Pesquisa Nacional de Domicílios PNAD-2008⁶6. Ferreira RA, Barreto SM, GIatti L. Hipertensão arterial referida e utilização de medicamentos de uso contínuo no Brasil: um estudo de base populacional. Cad Saude Publica. 2014;30(4):815-26. DOI:10.1590/0102-311X00160512
https://doi.org/10.1590/0102-311X0016051... (National Household Sample Survey).

Regarding the characteristics related to the health of individuals, very poor self-perceived health was positively associated with low adherence to treatment in patients treating chronic diseases. A meta-analysis described that patients with better self-perceived health have better adherence to treatment, which can help reduce the worsening of patients, especially those afflicted with chronic diseases⁴4. DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW. Patient adherence and medical treatment outcomes: a meta-analysis. Med Care. 2002 Sep;40(9):794-811. DOI:10.1097/00005650-200209000-00009
https://doi.org/10.1097/00005650-2002090... .

The demographic transition we are currently experiencing, with an increase in the number of chronic diseases, has led to a growing use of medicines, especially among older adults²⁰20. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... . In this study, we found a strong association between higher number of chronic diseases and low adherence. The explanation is that the simultaneous treatment of many chronic health conditions can result in polypharmacy, complex regimens in which medicine is taken many times a day, involving drug risks and predisposition to non-adherence¹⁰10. Mengue SS, Bertoldi AD, Boing AC, NUL Tavares, Silva Dal Pizzol T da, Oliveira MA, et al. Pesquisa Nacional sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos (PNAUM): métodos do inquérito domiciliar. Rev Saude Publica. 2016;50(supl 2):4s. DOI:10.1590/S1518-8787.2016050006156
https://doi.org/10.1590/S1518-8787.20160... ^,2222. World Health Organization. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization; 2003.. Wang et al. (2005) described a significant reduction in the use of antihypertensive drugs in older patients with high blood pressure who have a high prevalence of comorbidities, reinforcing the impact of polypharmacy in adherence to treatment for chronic conditions²¹21. Wang PS, Avorn J, Brookhart MA, Mogun H, Schneeweiss S, Fischer MA et al. Effects of noncardiovascular comorbidities on antihypertensive use in elderly hypertensives. Hypertension. 2005;46(2):273-9. DOI:10.1161/01.HYP.0000172753.96583.e1
https://doi.org/10.1161/01.HYP.000017275... .

Another factor described as one of the most important related to treatment adherence is medication costs¹¹11. Maciejewski ML, Bryson CL, Perkins M, Blough DK, Cunningham FE, Fortney JC et al. Increasing copayments and adherence to diabetes, hypertension, and hyperlipidemic medications. Am J Manag Care. 2010;16(1):e20-34.^,1818. Santa-Helena ETD, Nemes MIB, Eluf Neto J. Fatores associados à não-adesão ao tratamento com anti-hipertensivos em pessoas atendidas em unidades de saúde da família. Cad Saude Publica. 2010;26(12):2389-98. DOI:10.1590/S0102-311X2010001200017
https://doi.org/10.1590/S0102-311X201000... . A meta-analysis showed an 11.0% higher likelihood of non-adherence to medication in populations with health insurance who had to pay part of their medication costs, which may burden the public health system by increasing expenses from hospitalizations because of non-adherence to essential drugs¹⁹19. Sinnott SJ, Buckley C, O’Riordan D, Bradley C, Whelton H. The effect of copayments for prescriptions on adherence to prescription medicines in publicly insured populations; a systematic review and meta-analysis. PLoS One. 2013;8(5):e64914. DOI:10.1371/journal.pone.0064914
https://doi.org/10.1371/journal.pone.006... .

In Brazil, patients have free access through the Brazilian Unified Health System (SUS) to a list of essential medicines, with emphasis on the treatment of the most prevalent diseases, such as chronic diseases. However, a study that evaluated the availability of drugs in public health units in the country found low availability of drugs in all population strata¹²12. Mendes LV, Campos MR, Chaves GC, Silva RM, Freitas PS, Costa KS et al. Disponibilidade de medicamentos nas unidades básicas de saúde e fatores relacionados: uma abordagem transversal. Saude Debate. 2014;38 nº spe:109-23. DOI:10.5935/0103-1104.2014S009
https://doi.org/10.5935/0103-1104.2014S0... . In this study, the highest prevalence of low adherence to treatment was found among individuals who had to pay part of their treatment compared to those who had free access to all medicines needed to treat reported chronic diseases. This finding reinforces the fact that drugs not provided by SUS can lead users to abandon prescribed treatments for not being able to buy them in the private sector with their own resources²⁰20. Tavares NUL, Bertoldi AD, Thumé E, Facchini LA, França GVA, Mengue SS. Fatores associados à baixa adesão ao tratamento medicamentoso em idosos. Rev Saude Publica. 2013;47(6):1-9. DOI:10.1590/S0034-8910.2013047004834
https://doi.org/10.1590/S0034-8910.20130... .

Regarding therapy regimens, the amount of prescribed drugs, the therapy schedule and the side effects are also associated with non-adherence¹⁶16. Prado JC Jr, Kupek E, Mion D Jr. Validity of four indirect methods to measure adherence in primary care hypertensives. J Hum Hypertens. 2007;21(7):579-84. DOI:10.1038/sj.jhh.1002196
https://doi.org/10.1038/sj.jhh.1002196... . The complexity of the therapy schedule, where the most relevant element is the number of prescribed drugs, also seems to contribute greatly to adherence to treatment⁸8. Iskedjian M, Einarson TR, MacKeigan LD, Shear N, Addis A, Mittmann N et al. Relationship between daily dose frequency and adherence to antihypertensive pharmacotherapy: evidence from a meta-analysis. Clin Therap. 2002;24(2):302-16. DOI:10.1016/S0149-2918(02)85026-3
https://doi.org/10.1016/S0149-2918(02)85... . In this study, individuals who used three or more drugs had a higher prevalence of low adherence to treatment, reinforcing this aspect as an important negative predictor of adherence to treatment.

Among the strategies to improve adherence are patient education, better treatment regimens and better communication between physicians and other health professionals and patients¹⁵15. Osterberg L, Blaschke T. Adherence to medication. New Engl J Med. 2005;353(5):487-97. DOI:10.1056/NEJMra050100
https://doi.org/10.1056/NEJMra050100... . We noted in this study that individuals who reported seeing more than one doctor to treat their chronic diseases had a higher prevalence of low adherence to treatment, suggesting flaws in the whole care process. A recent systematic review shows that most of the current methods to improve adherence to treatment for chronic health problems are complex and ineffective. This shows the need for progress in this field, including improvement in the design of long-term viable interventions, objective adherence measures, and research capability, which should be sufficient to detect improvements in clinical outcomes of patients¹⁴14. Nieuwlaat R, Wilczynski N, Navarro T, Hobson N, Jeffery R, Keepanasseril A et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2014;(11):CD000011. DOI:10.1002/14651858.CD000011.pub4
https://doi.org/10.1002/14651858.CD00001... .

The study’s limitations include the use of self-reporting to measure adherence to drug therapy, which is subject to measurement bias, and the actual cross-sectional design, which does not identify changes in health status, treatment regimens and other factors that can influence the behavior of patients’ adherence to treatment over time⁴4. DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW. Patient adherence and medical treatment outcomes: a meta-analysis. Med Care. 2002 Sep;40(9):794-811. DOI:10.1097/00005650-200209000-00009
https://doi.org/10.1097/00005650-2002090... . Moreover, the great variability of methods, tools and recall periods used to measure adherence limits the comparability of results. Despite the limitations, we were able to estimate in an unprecedented manner the factors associated with low adherence to drug therapy for chronic diseases in Brazil, contributing to the production of evidence to support the guidance of interventions addressing the subject in the country.

The results indicate that low adherence to drug treatment for chronic diseases in Brazil is relevant, and that regional and demographic differences and those related to patients’ health care and therapy regimen require coordinated action between health professionals, researchers, managers and policy makers.

Acknowledgments

Departments of Science and Technology (DECIT) and Pharmaceutical and Strategic Health Supplies (DAF) of the Secretariat of Science, Technology and Strategic Inputs (SCTIE) of the Ministry of Health (MS) for financial and technical support to carry out the National Survey on Access, Use and Promotion of Rational Use of Medicines, and in particular the team that worked on data collection, represented here by Professor Alexandra Crispim Boing and the project’s statistical support team, by Amanda Ramalho Silva, Andréia Turmina Fontanella and Luciano Santos Pinto Guimarães and Giovanny Araújo França.

REFERENCES

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