Revista da Associação Médica Brasileira (English Edition) Revista da Associação Médica Brasileira (English Edition)
Rev Assoc Med Bras. 2013;59:614-21 - Vol. 59 Num.06

Assessment of adherence in elderly patients in primary care

Antônio Augusto Schmitt Júnior a, Stéphanie Lindner a, Ernani Tiaraju de Santa Helena a

a Universidade Regional de Blumenau, Blumenau, SC, Brazil


Aged. Medication adherence. Primary healthcare. Health services accessibility


Objective: To identify the prevalence of non-adherence to drug therapy for elderly patients in primary care in Blumenau, SC, Brazil.

Methods: This is a cross-sectional, population-based epidemiological study. A  randomly selected sample of users who attended the pharmacies of 14 units of primary healthcare answered the questionnaire's study variables. The prevalence of non-adherence was measured using a self-reported questionnaire. A logistic regression model to calculate odds ratio was performed to estimate the association between risk factors and non-adherence.

Results: Of the 151 elderly individuals interviewed, 84.1% reported continuous use of their medicines. The average age of the participants was 69.04 years. Regarding the characteristics of the medications, an average of 4.3 medicines were used by the elderly, and diseases of the circulatory system were the most prominent (43.3%). The prevalence of non-adherence was 35.4%. Logistic regression showed an association between non-adherence and "prior stopping treatment because of lack of medication" and "inappropriately prescribed medication use" (p < 0.005).

Conclusion: The results reinforce the need to improve public policy and management processes aimed at ensuring people's access to essential medicines and qualify the process of prescribing health professionals as a way to improve treatment adherence in the elderly.



According to the World Health Organization (WHO), the number of older adults will be higher than the number of children worldwide by 2025.1 Brazil, with a current life expectancy of 72.9 years,2 is also following that global trend and thus might rank sixth among countries with the largest number of older adults by that time.1 Physiological and biochemical changes occur together with age,3 which might favour the development of diseases, including many chronic diseases,4-6 and thus behave as predictors of pharmacological treatment.4,7

Pharmacological agents make a significant contribution to healthcare, and thus are a part of most therapeutic approaches. However, patients must adhere to the treatments prescribed so that outcomes meet expectations. For this reason, adherence to pharmacological treatment is one of the indicators of the effectiveness of healthcare services and programmes.6-9

WHO defines adherence as "the extent to which a person's behaviour corresponds to agreed recommendations from a healthcare provider",7 thus emphasising the collaboration between the target of care and the care provider.4,10-12

The rates of non-adherence to pharmacological treatments are estimated to vary from 41 to 74% among individuals older than 60 years old. Non-adherence accounts for approximately 10% of hospital admissions11 and has clinical and economic consequences, such as falls and exacerbations of disease.10,11,13

Several factors contribute to successful adherence, including the patient and/or caregiver's socioeconomic level, the presence or absence of motor and cognitive deficits, patient's understanding of disease, and a satisfactory doctor-patient relationship.10,11,14,15 Understanding the factors that promote adherence or non-adherence is crucial to improve the care provided to older adults.7

The aim of the present study was to identify the frequency of medication use in older adults attending primary care and the factors associated with use.


The present study was a cross-sectional, quantitative, observational, epidemiological, population-based study conducted with users of primary care services affiliated with the Unified Health System (Sistema Único de Saúde - SUS) in Blumenau, SC. In this county, primary care is provided through two modalities: at General Outpatient Clinics (GOCs), and by Family Health Strategy (FHS) teams. The latter comprises a doctor, a nurse, nursing technicians, and community health agents, whereas the GOCs include general practitioners, paediatricians, obstetrician-gynaecologists, nurses, psychologists, and social workers. Both modalities also include oral healthcare providers.

To estimate the prevalence of non-adherence, the sample size was calculated based on an expected prevalence of 50% with 5% of precision, a 95% confidence interval, and a design effect of 2, which corresponded to a total of 768 participants. It was estimated that 15% of that population was of older adults, i.e., 115 individuals who reported being older than 60 years old, which is the age range that WHO attributes to older adults in developing countries.

The sample was obtained in two stages (units and users) and proportionally stratified as a function of the total number of users at each FHS and GOC unit. Users who visited the pharmacies at 14 centres (three GOC and 11 FHS units) were randomly selected, signed an informed consent form and were interviewed by previously trained investigators who applied a questionnaire that addressed the variables under study. Following the stage of data collection, the questionnaires were reviewed, and the data were entered twice into an electronic database (EpiData version 3.1 - public domain).

Non-adherence to treatment was considered the independent variable. The prevalence of non-adherence was calculated based on a previously tested and validated questionnaire16 comprising four close-ended questions to be answered as yes or no: 1) Do you sometimes forget to take your medication? 2) Are you sometimes careless in the use of your medication? 3) When you feel better, do you sometimes stop taking your medication? and 4) If you feel worse when you take your medication, do you sometimes stop taking it? Whenever any of the four questions answered affirmatively, the individual was considered non-adherent to treatment.

The remainder of the variables corresponded to medical care issues (type of healthcare centre, primary disease, length of treatment, number of drugs, drugs prescribed, reported adverse reactions, previous treatment discontinuance, information given on the medication, and access to medication) and socio-demographic characteristics (age in years, gender, self-reported skin colour/ethnicity, marital status, school attendance in years, and consumer class).

The volunteers' economic level was assessed using the criteria for economic classification formulated by the Brazilian Association of Market Research Companies12 (Associação Brasileira de Empresas de Pesquisa - ABEP).

Inappropriate drug prescription was assessed by comparing the medications prescribed by doctors and the medications included in the Beers-Fick criteria. The criteria are distributed across two tables: one lists 48 drugs and/or classes of drugs that should be avoided in older adults and the causes for concern, independently from diagnoses or conditions, while the other lists the medications that should be avoided in older adults corresponding to 20 diagnoses or conditions.17

The data were processed and tabulated using the software STATA 9.0. The initial tables described the sample's socioeconomic and medical care-related characteristics. Then, the prevalence of non-adhesion was calculated. The association between proportions was assessed by means of the chi-squared or Fisher's exact test as befitting. In the case of continuous variables, the measures of central tendency and dispersion were calculated, and the means were compared using Student's t-test.

The association between the outcome variable "non-adherence" (categorical) and each independent variable (univariate analysis) was investigated by calculating odds ratios (ORs) with the corresponding 95% confidence interval (CI). In multivariate analysis, the ORs were calculated by means of unconditional logistic regression. All of the variables that exhibited p-values < 0.20 on univariate analysis were included in the model. By means of backward stepwise selection, variables were gradually removed from the model, and only the ones with p-values < 0.05 or that contributed to a better fit of the final model remained.

The significance level was established at p < 0.05.

The study complied with the Declaration of Helsinki and was approved by the research ethics committee of the Regional University of Blumenau Foundation (Fundação Universidade Regional de Blumenau - FURB), ruling no. 086/10.


A total of 151 older adults were included in the study, 127 of whom (84.1%) reported the presence of chronic diseases and consequent continuous use of medication. Table 1 describes the distribution of the participants according to certain socio-demographic characteristics.

Table 1 - Socio-demographic characteristics and medical care-related features in older adults attending primary care, Blumenau, SC (n = 151).

The average age of the sample was 69.04 years old (standard deviation, SD= 7.0), with a median of 67.81 years old. The average age did not exhibit a statistically significant difference as a function of gender.

Most of the participants (71, 47.0%) reported being married or having a stable union; most (121, 81.1%) reported being white.

The average school attendance was 4.11 years (SD = 3.1), with median of 4.0 years.

With respect to their consumer class, level C predominated (89, 58.9%), while no volunteer corresponded to class E.

With respect to the medical care-related characteristics (Table 2), the average number of drugs per volunteer was 4.29 (SD = 2.33), with a median of 4.0, and 65 participants (43.0%) used more than 5 drugs. The average number of drugs per volunteer did not exhibit a statistically significant difference as a function of gender, age range, or type of healthcare centre. Inappropriate drug prescription was found in 16.5% of the sample and exhibited a correlation with the adverse reactions reported (p = 0.04).

Table 2 - Univariate analysis of the correlation of non-adherence to treatment according to the Morisky scale with social and medical care-related factors.

Most participants (91, 72.2%) stated that they had never discontinued treatment previously. Analysis of the association between economic class and drug discontinuation due to unavailability at the public network showed that discontinuation occurred in 68.6% (24) of the volunteers in class D versus 25.7% (9) in classes A and B, and 5.7% (2) in class C, although the difference was statistically non-significant (p = 0.23).

Analysis of the primary diseases found a predominance of afflictions of the circulatory system (65, 43.3%), followed by endocrine, metabolic, and nutritional disorders (36, 24.0%).

The prevalence of non-adherence among the volunteers using continuous medication (n = 127) was 35.4% (95% CI 27.2-44.4%). The results of univariate analysis of the correlation between the investigated variables clustered in groups, and the levels of non-adherence according to the Morisky scale are described in Table 2.

The only variables that exhibited association with non-adherence were "previous discontinuation due to lack of medication" and "inappropriate medication prescription". The variables "consumer class", "how do you feel relative to your treatment", and "adverse reactions reported" exhibited p-values < 0.20 and were included in the multivariate analysis.

The final logistic regression model is described in Table 3.

Table 3 - Final logistic regression model of the correlation of non-adherence to treatment according to the Morisky scale with social and medical care-related factors (n = 124).


The challenge posed by adherence to treatment is greater in older adults. That fraction of the population represents up to 50%18 of multidrug users due to the higher prevalence of chronic degenerative illnesses.13,15,18-20

Among the population of older adults in Blumenau, there are more women (58.15%) than men.21 In the present study, women represented 72.2% of the primary care users older than 60 years old. The reason might be that women seek healthcare more often than men,22,23  resulting in greater use of medication,3,4,18 and women also frequently assume responsibility for the family's well-being and thus go to pharmacies to pick up medications for other family members.15 A second relevant socio-demographic characteristic of the present sample was the predominance of younger elderly (60-69 years old) and married individuals as well as of low levels of schooling. This profile agrees with previously reported profiles in studies conducted on older adults in the primary care setting.18,24

The prevalence of non-adherence to treatment might be rated low (35.4%) compared with rates found in other studies, which vary from 40 to 75% as a function of the context and the methods of assessment used.10,15,25 Such a low prevalence of non-adherence might be at least partially explained by the use of a questionnaire as the method for data collection because it might exhibit a desired answer bias.

Regarding the factors associated with non-adherence, only a previous discontinuance due to lack of access to medication and having been inappropriately prescribed a medication exhibited a statistically significant correlation on multivariate analysis. The variable "how do you feel since you started treatment" fit into the model but without statistical significance. The fact that these variables might be used as indicators of service quality and could play a role in the occurrence of non-adherence to treatment should be given particular attention.

In countries such as Brazil that exhibit wide income variation, access to medication exerts significant influence on the continuity of treatment.8  In the present study, non-adherence proved to be lower when the drugs were not available from the public healthcare network. The availability of medications at public facilities is limited, and thus a drug needed to treat a definite chronic problem might not be available for about one quarter of the year.26 Vasconcelos et al. found that a fraction of older adults use lower doses of their treatment than the prescribed amount to "store" medication in case it becomes unavailable at the public healthcare network.27 Teixeira et al. observed that some older adults looked for alternatives to purchase the drugs they need despite their low income, while other older adults simply discontinued them as a function of their high cost.28 Lack of access to medication might worsen the individual's clinical condition, resulting in increased expenses for secondary and tertiary healthcare.29

No studies were located assessing the association between inappropriately prescribed medication and poor adherence. The frequency of inappropriately used medication found in the present study was lower than the rates reported by international studies that applied the same criteria30,31 (16% vs. 18-21%). These latter two studies, in turn, found associations between inappropriately used medication, polypharmacy and adverse reactions.30,32

The larger the number of prescribed medications, the greater the complexity of the therapeutic regimen,3,33 and both factors increase together with age.3 The participants in the present study used 4.3 drugs each on average, which is slightly higher than the findings of other studies conducted in Brazil, which varied from 2.7  to 4.2  drugs per elderly patient.3,4,22 The larger the number of drugs, the higher the odds for adverse reactions to occur, which is one reason for intentional discontinuance.3,34 The symptoms associated with adverse reactions and non-adherence predispose older adults to being prescribed additional drugs due to the difficulty in identifying the actual basic cause of non-responsiveness to treatment.35,36 The results of the present study showed that higher rates of adherence corresponded to the volunteers who did not exhibit adverse reactions.

Therefore, it can be inferred that the association between polypharmacy and/or adverse reactions and non-adherence belongs in the same causal chain as inappropriate prescriptions. Thus, the doctors themselves might involuntarily contribute to the occurrence of non-adherence. This hypothesis should be more thoroughly investigated by means of longitudinal studies and larger samples.

The economic status of older adults might exert influen ce on their adherence to treatment because adults with low incomes cannot purchase the medication they need.15,23,27,37 In addition, low educational levels are a risk factor for non-adherence as a function of the complexity of the therapeutic regimens18,22,27,33 and as a function of their influence on the individual's understanding of his or her state of health, which is a relevant factor with respect to adherence to treatment.10,15,22 The results of the present study show that socioeconomic variables such as low consumer class and low educational level exhibited a correlation with non-adherence, albeit in a statistically non-significant manner.

The present study had some limitations. First, the sample size was small because the eligible population was restricted to individuals within a given age range from a source study, resulting in reduced statistical power. The second limitation concerned the study setting. The volunteers were recruited at pharmacies in primary care centres, which might have caused selection bias because the individuals found at that setting might have a greater tendency to care for their health and thus to exhibit better adherence to treatment. One further limitation was related to the method used to measure adherence. The Morisky questionnaire is a qualitative instrument that seeks to identify non-adherence based on the behaviour of people relative to the intake of medication. Thus, the questions are not framed with time clauses and do not address clinical outcomes. Importantly, other studies in the literature have used different methods to assess adherence, thus hindering comparison of their results.

Nevertheless, the present study is relevant because it is one of the first studies on adherence to treatment in older adults attending primary care conducted in Brazil. The fact that the study included 14 primary care centres (conventional outpatient clinics and FHS units) in a mid-sized city is also noteworthy because it allows for the application of its results to the SUS as a whole.


In the present study, correlations were found between non-adherence to treatment and lack of access to medication as well as inappropriate medication prescription. The results point strongly to the need to improve public policies and management processes to ensure population-wide access to essential medications and to evaluate the prescriptions made by healthcare providers.

Financial support

The present study was part of the research project "Improvement of the quality of Pharmaceutical Assistance at SUS primary care in Blumenau/SC" and was funded by the Pan American Health Organisation (letter of agreement BR/ LOA/0900196.001) and by an undergraduate research grant from Foundation for Research and Innovation Support of the State of Santa Catarina (Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina - FAPESC).

Conflicts of interest

The authors declare no conflicts of interest.

Article history:
Received 13 November 2012
Accepted 30 June 2013

Study conducted at Department of Medicine, Universidade Regional de Blumenau, Blumenau, SC, Brazil.

* Corresponding author.
E-mail:"> (S. Lindner).


1. Ministério da Saúde. Idoso no mundo [The elderly in the world] [accessed 5 Apr 2010]. Available at: bvs/exposicoes/idoso/idosom.html.
2. IBGE. Centro de Serviços Gráficos. Perfil dos idosos responsáveis pelos domicílios no Brasil 2000 [Profile of head of household older adults in Brazil 2000] [accessed 5 Apr 2010]. Available at: populacao/perfilidoso/tabela1_6.shtm.
3. Rocha CH, Oliveira APS, Ferreira C, Faggiani FT, Schroeter G, Souza ACA, et al. Adesão a prescrição médica em idosos de Porto Alegre, RS [Adherence to medical prescription in older adults from Porto Alegre, RS]. Ciênc Saúde Coletiva. 2008;13(2):703-10.
4. Flores LM, Mengue SS. Uso de medicamentos por idosos em região do sul do Brasil [Use of medication by older adults in Southern Brazil]. Rev Saúde Pública. 2005;39(6):924-9.
5. Ribeiro AQ, Araújo CMC, Acurcio FA, Magalhães SMS, Chaimowicz F. Qualidade do uso de medicamentos por idosos: uma revisão dos métodos de avaliação disponíveis [Quality of medication use by older adults: a review of the assessment methods available]. Ciênc Saúde Coletiva. 2005;10(4):1037-45.
6. Siegel D, Lopez J, Meier J. Antihypertensive medication adherence in the Department of Veterans Affairs. Am J Med. 2007;20(1):26-32.
7. WHO. Adherence to long-term therapies: evidence for action. Geneve: WHO;2003.
8. Leite SN, Vasconcellos MPC. Adesão a terapêutica medicamentosa: elementos para a discussão de conceitos e pressupostos adotados na literature [Adherence to pharmacological therapy: elements for a discussion of the notions and assumptions in the literature]. Ciênc Saúde Coletiva. 2003;8(3):775-82.
9. Barbosa GBB, Lima NKC. Índices de adesão ao tratamento anti-hipertensivo no Brasil e mundo [Indexes of adherence to antihypertensive treatment in Brazil and worldwide]. Rev Bras Hipertens. 2006;13(1):35-8.
10. Maclaughlin EJ, Raehl CL, Treadway AK, Sterling TL, Zoller DP, Bond CA. Assessing medication adherence in the elderly: which tools to use in clinical practice? Drugs Aging. 2005;22(3):231-55.
11. Cooney D, Pascuzzi K. Polypharmacy in the elderly: focus on drug interactions and adherence in hypertension. Clin Geriatr Med. 2009;25(20):221-33.
12. ABEP. Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil 2009 [Criterion for economic classification Brazil 2009] [accessed 13 Mar 2011]. Available at:
13. Andrade MA, Silva MVS, Freitas O. Assistência farmacêutica como estratégia para o uso racional de medicamentos em idosos [Pharmaceutical assistance as a strategy for rational use of medication among older adults]. Semina Ciênc Biol Saúde. 2004;25:55-63.
14. Blanski CRK, Lenardt MH. A compreensão da terapêutica medicamentosa pelo idoso [Understanding of pharmacological treatment by older adults]. Rev Gaúcha Enferm. 2005;26(2): 180-8.
15. Santa-Helena, ET, Nemes MIB, Eluf-Neto J. Fatores associados à não-adesão ao tratamento com anti-hipertensivos em pessoas atendidas em unidades de saúde da família [Factors associated with non-adherence to antihypertensive treatment in individuals assisted at family health units]. Cad Saúde Pública. 2010;26(12):2389-98.
16. Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986;24(1):67-74.
17. Fick DM, Cooper JW, Wade WE, Waller JL, Maclean JR, Beer MH. Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts. Arch Intern Med. 2003;163(22):2716-24.
18. Galato D, Silva ES, Tiburcio LS. Estudo de utilização de medicamentos em idosos residentes em uma cidade do sul de Santa Catarina (Brasil): um olhar sobre a polimedicação [Study on the use of medication by older adults from a town in Southern Santa Catarina (Brazil): a look into poly-drug use]. Ciênc Saúde Coletiva. 2010;15(6):2899-905.
19. Romano-Lieber NS, Teixeira JJV, Farhat FCLG, Ribeiro E, Crozatti MTL, Oliveira GSA. Revisão dos estudos de intervenção do farmacêutico no uso de medicamentos por pacientes idosos [Review of studies on pharmacists'' interventions relative to the use of medication by elderly patients]. Cad Saúde Pública. 2002;18(6):1499-507.
20. Williams A, Manias E, Walker R. Interventions to improve medication adherence in people with multiple chronic conditions: a systematic review. J Adv Nurs. 2008;63(2):132-43.
21. IBGE. Centro de Serviços Gráficos. Sinopse do censo demo gráfico 2010 - Blumenau, SC [Summary of the 2010 demographic census - Blumenau, SC] [accessed 28 May 2011]. Available at:
22. Marin MJS, Rodrigues LCR, Druzian S, Cecílio LCO. Diagnósticos de enfermagem de idosos que utilizam múltiplos medicamentos [Nursing diagnoses corresponding to poly-drug use by older adults]. Rev Esc Enferm USP. 2010;44(1):47-52.
23. Loyola Filho AI, Uchoa E, Firmo JOA, Lima-Costa MF. Estudo de base populacional sobre o consumo de medicamentos entre idosos: Projeto Bambuí [Population-based study on the use of medication by older adults: Project Bambuí]. Cad Saúde Pública. 2005;21(2):545-53.
24. Marin MJS, Cecílio LCO, Perez AEWUF, Santella F, Silva CBA, Gonçalves Filho JR, et al. Caracterização do uso de medicamentos entre idosos de uma unidade do Programa Saúde da Família [Characterisation of medication use by older adults at a Family Health Programme unit]. Cad. Saúde Pública. 2008;24(7):1545-55.
25. Doggrell AS. Adherence to medicines in the older-aged with chronic conditions: does intervention by an allied health professional help? Drugs Aging. 2010;27(3):239-54.
26. OPAS. Organização Pan-Americana da Saúde, Ministério da Saúde. Avaliação da assistência farmacêutica no Brasil: estrutura, processo e resultados [Assessment of pharmaceutical assistance in Brazil: structure, process and results]. Brasília (DF);2005.
27. Vasconcelos FF, Victor JF, Moreira TMM, Araújo TL. Utilização medicamentosa por idosos de uma unidade básica de saúde da família de Fortaleza - CE [Medication use by older adults at a primary family health unit in Fortaleza - CE]. Acta Paul Enferm. 2005;18(2):178-83.
28. Teixeira JJV, Lefèvre F. A prescrição medicamentosa sob a ótica do paciente idoso [Medical prescription from the elderly patient''s perspective]. Rev Saúde Pública. 2001;35(2):207-13.
29. Paniz VMV, Fassa AG, Facchini LA, Bertoldi AD, Piccini RX, Tomasi E et al. Acesso a medicamentos de uso contínuo em adultos e idosos nas regiões Sul e Nordeste do Brasil [Access to continuous-use medication in adults and older adults in Southern and North-eastern Brazil]. Cad Saúde Pública. 2008;24(2):267-80.
30. Maio V, Yuen EJ, Novielli K, Smith KD, Louis DZ. Potentially inappropriate medication prescribing for elderly outpatients in Emilia Romagna, Italy: a population-based cohort study. Drugs Aging. 2006;23(11):915-24.
31. Roughead EE, Anderson B, Gilbert AL. Potentially inappropriate prescribing among Australian veterans and warwidows/ widowers. Intern Med J2007;37(6):402-5.
32. Hajjar EM, Cafiero AC, Hanlon JT. Polypharmacy in elderly patients. Am J Geriatr Pharmacother. 2007;5(4):345-51.
33. Acurcio FA, Silva AL, Ribeiro AQ, Rocha NP, Silveira MR, Klein CH, Rozenfeld S. Complexidade do regime terapêutico prescrito para idosos [Complexity of the therapeutic regimens prescribed to older adults]. Rev Assoc Med Bras. 2009;55(4): 468-74.
34. Shah BM, Hajjar ER. Polypharmacy, adverse drug reactions and geriatric syndromes. Clin Geriatr Med. 2012;28(2):173-86.
35. Cresswell KM, Fernando B, McKinstry B, Sheikh A. Adverse drug events in the elderly. Br Med Bull. 2007;83(1):259-74.
36. Field TS, Gurwitz JH, Harrold LR, Rothschild J, DeBellis KR, Seger AC, et al. Risk factors for adverse drug events among older adults in the ambulatory setting. J Am Geriatr Soc. 2004;52(8):1349-54.
37. Rozenfeld S. Prevalência, fatores associados e mau uso de medicamentos entre os idosos: uma revisão [Prevalence, associated factors and inappropriate medication use among older adults: a review]. Cad Saúde Pública. 2003;19(3):717-24.