Volume 6, Issue 2 (December 2020)                   Elderly Health Journal 2020, 6(2): 85-90 | Back to browse issues page


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Sanati T, Vaezi A, Jambarsang S. Medication Adherence Status and its related Factors among Older Adults in Yazd, Iran. Elderly Health Journal. 2020; 6 (2) :85-90
URL: http://ehj.ssu.ac.ir/article-1-152-en.html
Department of Nursing, School of Nursing and Midwifery, Research Center for Nursing Care and Midwifery in Family Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , vaeziali@ssu.ac.ir
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Medication Adherence Status and its related Factors among Older Adults in Yazd, Iran

Tayebeh Sanati 1, Aliakbar Vaezi *2, Sara Jambarsang 3
 
  1. Department of Ageing Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  2. Department of Nursing, School of Nursing and Midwifery, Research Center for Nursing Care and Midwifery in Family Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  3. Research Center for Prevention and Epidemiology of Non-Communicable Diseases, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Article history
Received 11 Apr 2019
Accepted 14 Nov 2020
A B S T R A C T
 Introduction: One of the main problems facing different societies in the world, including Iran, is population aging and its consequences. With individuals entering old age, the possibility of being afflicted with one or more chronic diseases increases, which in turn results in more use of medications and medication adherence. This study has examined medication adherence status and its related factors among older adults in Yazd, Iran.
 
Methods: Totally 196 individuals aged 60 years old and higher in Yazd were entered randomly in this cross-sectional study. The data were collected using Morisky Medication Adherence Scale. Chi-square and Gamma tests were used for data analysis.
 
Results: The medication adherence was weak in 79.1%, average in 19.9%, and high in only 1% of the participants. There was not a significant relationship between demographic variables and medication adherence.
 
Conclusion: As most of the participants were weak in medication adherence, the necessary actions for the identification of other factors that lead to the reduction of medication adherence can pave the way for providing solutions for increasing medication adherence in this age group.
 

Keywords: Older Adults, Medication, Adherence


 Copyright © 2020 Elderly Health Journal. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cite.
Introduction
    With individuals entering old age, the possibility of their affliction with one or more chronic diseases is increased (1) in a way that 80% of the elderly are suffering from at least one chronic disease that makes them more vulnerable, compared to other age groups (2). On the other hand, the number of chronic diseases in old age results in more medication consumption in the elderly, compared with young adults and adults (2, 3). The use of medication as an inseparable part of the disease's treatment stage is undeniable in a way that medical sciences experts believe that proper medication use results in improvement from the disease in many cases (4).
    According to WHO statistics, each elderly individual, on average, uses 4.5 prescribed and 2.1 over-the-counter medicines and has 12 to 17 prescriptions a year (5). In one study, the relationship between medication-related beliefs and adherence to treatment in patients with Hypertension in Urban Health Care Centers in Isfahan showed a significant relationship between drug-related beliefs and adherence to treatment (6). In another study, the results showed that drug adherence in patients with type 2 diabetes in the health centers of Tuyserkan city was not appropriate, and multiple individuals, economic and social factors influenced drug adherence (7). In another study, In Singapore, the results showed that factors associated with drug compliance, especially in the elderly, were: individual factors, drug-related factors, health care providers and health care system factors, and socioeconomic factors (8). As the multitude of chronic diseases in old age leads to more medication consumption at this age, and few studies have examined medication adherence in the elderly in Iran, the present study has explored medication adherence in the elderly.

Methods
Study design and participants
    In the cross-sectional study, 196 individuals aged 60 years and higher in Yazd, Iran were studied. The inclusion criteria were being 60-year old or higher with one or more diseases and consuming medications. The exclusion criteria were being elderly with diseases that made the individual unable to respond and hospitalized at the hospital.
    To estimate the study's medication adherence level, considering the initial number of 50% of the individuals at average and high levels of medication adherence, and considering the estimation error of 0.07, the sample size was determined.
    First, four centers among health centers in Yazd were randomly selected, and at each center, the names of the older adults aged over 60 were extracted from the SIB system (Iran's Integrated Health System). Finally, 196 individuals aged 60 and higher were randomly entered into the study.
Instruments
    A two-part questionnaire was used for data collection. The first part was related to demographic and basic information (age, sex, education, disease duration, disease, occupational status, and insurance status), and the second section was Morisky Medication Adherence Scale (MMAS). MMSA consists of eight questions. The first seven questions have yes or no answers, yes is scored 1 and no 0. However, the eighth question is designed based on the Likert scale that consists of the following options: "never, sometimes, once in a while, usually and all the time." The "never" is scored 1, and the other options are scored 0 (9, 10). The total MMAS score is considered to be between 0 and 8, a higher score indicating higher adherence. Thus, 8 indicates high adherence, 7-6 indicates average adherence, and 0-5 indicates low adherence (5, 10). The validity and reliability of MMAS have been approved in other studies (1, 5). The reliability of the Persian version of this scale has been verified using Cronbach’s alpha in the study by Moharamzade et al. on individuals with hypertension (11).
 
Ethical considerations
    In order to observe ethical considerations, after obtaining a permit from the ethical committee of the School of Public Health in Shahid Sadoughi University of Medical Sciences (approval code: IR.SSU.SPH.REC.1397.078), the related health center was visited. The names of the elderly aged over 60 were extracted from the SIB system and, through a phone call, they were asked to visit the health center on a specific date and time. The questionnaires were completed after introducing the study and ensuring that their information would be completely confidential and after obtaining informed written consent.  
Data analysis
    SPSS version 23 was used for data analysis. Chi-square test was used to compare the frequencies of the two groups, and the Gamma test was used to compare nominal and ordinal variables.
 
Results
    The mean age of the participants was 68.17±7.54. In this study, 58.7% were women and 41.3% men. Most of the participants (81.6%) were married, and the monthly income was average in 57.1 % of the individuals. (Table 1)
    Over half of the participants (55.1%) would consume more than two medication items.
    The form of the consumed medications was in form of tablets in 81.6% of the participants and 1% in the form of syrup, 1.5% in the form of injection and 15.8% combination of all the above. (Table 2)
    In this study, 82.6% of the women and 74.1% of the men had a weak medication adherence. Most of those (78.6%) who were suffering from their disease for more than five years and 79.6% of those who were consuming more than two daily medication items had a low medicine adherence (Table 3).
    There was no significant relationship between medication adherence status and demographic and other studied variables.
 
Discussion
    The aim of this study was to explore medication adherence status among older adults in Yazd. According to the results, medication adherence level among the medication users is low, and over half of the elderly had a weak adherence, and only 1% of them had high adherence.
    Low adherence can be due to medication multitude, medication side effects, psychological problems related to age, memory disorders, vision and hearing disorders, chronic and debilitating diseases, and economic problems. In a study conducted by Lee et al. the results indicated that medication side and dose effects could affect the reduction of medication adherence (12).
   The study by Obreli-Neto et al. was consistent with the reasons pointed out for low medication adherence. The findings indicated that socioeconomic problems and concerns related to medication consumption and their side effects lead to weak medication adherence in patients (13). In the elderly, due to sensory and cognitive changes resulting from old age and insufficient knowledge of medications, more confusion occurs, resulting in the reduction of medication adherence in this age group (14). There are in study  Lalic et al. and many other studies on medication adherence that indicate low medication and therapy adherence in chronic diseases (15, 16).
    Overall, over half of the male and female elderly studied had a weak medication adherence in the present study. Although there was not much difference in weak medication adherence level between elderly men and women, the weaker adherence in women may be due to occupation with household affairs, not paying much attention to the disease and consequently timely medication consumption by elderly men and of course, its cause needs more exploration. However, according to the present study results, no significant relationship was found between sex and medication adherence status. A study conducted by Minaiyan et al. found no significant relationship between sex and cooperation in medication consumption (17).
 
 
Table 1. The frequency distribution of the demographic variables of the participants
variable Levels of changes Number Percent
Sex Female 115 58.7
Male 81 41.3
Education Illiterate 93 47.4
Elementary school 65 33.2
Middle school 18 9.25
Diploma 10 5.1
University degree 10 5.1
Marital status Married 160 81.6
Single 6 3.1
Other 31 15.3
Occupational status Employee 4 2
Retired 67 34.2
Self-employed 21 10.7
Housekeeper 93 47.4
Disabled 11 5.6
Income level Low 65 33.2
Average 111 57.1
Good 19 9.7
Insurance coverage Yes 185 94.4
No 11 5.6
Type of insurance
 
No insurance 11 3.6
Social Security 138 70.8
Medical Services 38 19.5
Health 8 4.1
Other 4 2
Complementary insurance Yes 83 42.3
No 113 57.7
 
Table 2. The frequency distribution of the consumed medications, the way of prescription, and drug allergy among participants
Variable Level Number Percent
Number of consumed medications 1
2 items
Over 2
45
43
108
23
21.9
55.1
The kind of prescription Tablets
Syrup
Injection
Combinational
160
2
3
31
81.6
1
1.5
15.8
Drug allergy Yes
No
20
176
10.2
89.8
Table 3. The frequency distribution of medication adherence status by demographic variables among participants
Variable Level Medication adherence p-value
High Average Low
Sex Female
Male
2(1.7)
0
18 (15.7)
21 (21)
95 (82.6)
60 (74.1)
0.09
Education
 
Illiterate
Elementary
Middle school
Diploma
University
1 (1.1)
0
1(5.6)
0
0
11(11.8)
22 (33.8)
2 (11.1)
3 (30)
1 (10)
81 (87.1)
43 (66.2)
15 (83.3)
7 (70)
9 (90)
0.057
Occupational status Employee
Retired
Self-employed
Housekeeper
Disabled
0
0
0
2(2.2)
0
1(25)
19 (28.4)
4 (19)
12 (12.9)
3 (27.3)
3(75)
48 (71.6)
17 (81)
79 (84.9)
8 (72.7)
0.339
Income level Low
Average
Good
2 (3.1)
0
0
8 (12.3)
29 (25.9)
2 (10.5)
55 (84.6)
83 (74.1)
17 (89.5)
0.544
Insurance coverage Yes
No
1(1.1)
0
38 (20.5)
1 (9.1)
145 (78.4)
10 (90.0)
0.528
Number of daily consumed medications 1 item
2 item
More than 2 items
1 (2.2)
1 (2.3)
0
10(22.2)
7 (16.3)
22(20.4)
34 (75.6)
35 (81.4)
86 (79.6)
0.650
Disease duration
 
Less than 1 year
1-5 years
More than 5 years
1(7.1)
1(2)
0
3(21.4)
8(15.7)
28 (21.4)
10 (71.4)
42 (82.4)
103 (78.6)
0.968
Root of prescription Tablet
Syrup
Injection
Mix
2(1.3)
0
0
0
31(19.4)
1(50)
0
7(22.6)
127(79.4)
1(50)
3(100)
24(77.4)
0.688
 
    The results of the present study indicated that there was no significant relationship between education level and medication adherence. Rao et al.'s study did not find a significant relationship between education level and medication adherence, too (18). The results of a study conducted by Mashrouteh et al. indicated that the higher the individual's education level, the more favorable the medication adherence (19). As the elderly studied had a low education level, and only a low percentage of the elderly in the study had high levels of education, the result of the present study has become the opposite.
    In the present study, the relationship of disease duration, number of the medications consumed daily, and the root of prescription of drugs with medication adherence were explored, and no significant relationship was found. In the study by Fernandez-Ariasnv et al. no significant relationship was also found between medication adherence and therapy duration (20). However, a study conducted in Croatia indicated a significant relationship between medication adherence and disease duration (21). This may be due to the low sample size on the one hand and lack of attention to a specific age group in other studies, on the other hand. The study results by Hadi indicated that the more is the length of the treatment, the higher is medication adherence percentage and the patients who use hypertension medication for more than five years have better therapy adherence (22). The reason for this may be related to the increase of the medication side effects at the beginning of consumption by the patients, which is reduced over time (23). Despite studies, the present study indicated that more than half of the elderly studied (55.1%) consume more than two medication items daily and, in these individuals, in 81.6% of the cases, the prescription is in the form of a tablet and probably this can contribute to the low medication adherence in the elderly.
    No significant relationship between occupational status and income level with medication adherence was found in this study. In Hadi's study, there was no significant relationship between the job and medication adherence (22). A study conducted by Asayeshi et al. indicated no significant relationship between sex and job with medication adherence (6). Overall, the relationship between demographic variables and medication adherence in individuals is weak and unstable. In fact, medication adherence is a multi-factor behavior for which no specific cause can be determined (22).
 
Conclusion
    As medication adherence in the elderly was low in this study, and as most elderly have a problem in proper consumption of their medication for disease treatment, it is suggested that other aspects impact medication adherence in the elderly be explored. Also, some studies can be conducted on the impact of education on the patients' family and friends or the solutions for the increase of medication adherence in this group.
 
Study limitations
    One of the main limitations of a study on the elderly is the lack of appropriate access to this age group and this problem also existed in this study. It should also be noted that the use of the questionnaire may cause other causes of drug compliance not to be considered.
 
Conflict of interest
    The authors of this article declare no conflict of interest.
 
Acknowledgments
    The authors would like to thank all those who contributed to this study, especially the participants in the study.
 
Authors' contributions
    All authors contributed to the design and implementation of the study, analysis and interpretation of data, drafting or modifying the article. Data collection was carried out by Tayebeh Sanati. All authors have read and approved the final version of the article.
 
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Type of Study: Research | Subject: Special
Received: 2019/04/11 | Accepted: 2020/11/14 | Published: 2020/12/28

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