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Research Article
Level of hypertension treatment adherence during pandemic
expand article infoValentina Petkova, Anna Peneva, Kalina Andreevska§, Emil Hristov§, Daniela Grekova|, Anna Todorova, Antoaneta Tsvetkova, Milen Dimitrov
‡ Medical University – Sofia, Sofia, Bulgaria
§ Sofia University St. Kliment Ohridski, Sofia, Bulgaria
| Medical University – Plovdiv, Plovdiv, Bulgaria
¶ Medical University – Varna, Varna, Bulgaria
Open Access

Abstract

Adherence to antihypertensive medications is the cornerstone for achieving metabolic syndrome control. The aim of this study was to explore how the pandemic has affected the adherence of patients with high BP to prescribed antihypertensive drugs. This multicentre observational study utilized self-completed questionnaires among patients between June and November 2020.

Overall, 842 patients were included in the study. The likelihood of adherence was assessed using the 5‐item version of the Medication Adherence Report Scale (MARS-5Professor Rob Horne). The average MARS score of the sample was 16.81, the median was 4.162, and the most common value was 3 (24.5% of respondents) for the patients treated during the pandemic.

The study suggests that several sociodemographic factors but not the COVID pandemic play a role in treatment adherence.

Keywords

Hypertension, adherence, Medication Adherence Report Scale (MARS-5Professor©Rob Horne)

Introduction

Arterial hypertension, one of the most common chronic diseases, as defined by the World Health Organization (WHO), is a physical condition in which systolic blood pressure (BP) ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg. According to the 2020 International Society of Hypertension Global Hypertension Practice Guidelines, hypertension should be diagnosed when a person’s systolic blood pressure (SBP) in the office or clinic is ≥140 mm Hg and/or their diastolic blood pressure (DBP) is ≥90 mm Hg following repeated examination (Unger 2020). This chronic disease affected approximately 22% of the adult population in 2015 (WHO 2018).

Hypertension is a key component of metabolic syndrome and is associated with an increase in morbidity and mortality due to stroke, cardiovascular ailments, and kidney disease. Hypertension is prevalent and remains one of the most significant causes of mortality worldwide. Every year, it accounts for approximately 7.5 million deaths worldwide and has harmful consequences, especially in countries with poor health policies (Zhou 2017). Elevated blood pressure (BP) is a major risk factor for coronary artery disease and its complications, including heart failure, stroke, renal insufficiency, and blindness, in diabetic patients. The Global Burden of Disease study estimated that hypertension is now the leading risk factor for disability-adjusted life years worldwide (Lim 2012). According to the WHO, over 30% of the world’s population suffers from hypertension (high blood pressure). Hypertension is the leading risk factor for myocardial infarction and stroke. Poor blood pressure control is the cause of 62% of all cerebrovascular accidents.

Over 1.7 million (24%) Bulgarians have a blood pressure value equal to or higher than 140/90 mmHg and therefore are at increased risk of complications.

Healthy lifestyle choices can prevent or delay the onset of high BP and can reduce cardiovascular risk (Piepoli 2016). The risk of developing hypertension can be reduced by effective medication therapy management and significant lifestyle modifications. Adherence to antihypertensive medications is the cornerstone for achieving hypertension control.

Adherence is defined as the extent to which a person’s behaviours, such as taking a medication, following dietary or lifestyle changes, correspond with agreed recommendations from a healthcare provider (Mennini 2015). Low adherence is one of the main causes of therapy failure worldwide (DiMatteo 2002; Cramer 2008; Ho 2009). Non-adherence to antihypertensive treatment affects 10%–80% of hypertensive patients and is one of the key drivers of suboptimal BP control (Mazzaglia 2009; Corrao 2011; DTomaszewski 2014). Poor adherence to antihypertensive treatment correlates with the magnitude of BP elevation and is an indicator of poor prognosis in hypertensive patients. The aetiology of non-adherence to antihypertensive treatment is multifactorial and includes the healthcare system, the pharmacological therapy, the disease, the patient and their socioeconomic status.

Concerns have been raised about the cost of non-adherence, medication and resource waste and lack of effective strategies for preventing cardiovascular disease (Mennini 2015).

Self-reported scales are the most commonly used instruments to assess medication adherence in research and in clinical practice (Osterberg 2005; Lam 2015).

The Medication Adherence Report Scale (MARS‐5, Professor Rob Horne) – a shorter form of MARS‐10 – comprises items which describe a range of nonadherent behaviours, with items phrased in a nonthreatening and nonjudgmental way to normalise nonadherence, and a response scale that allows the categorisation of patients in terms of their position along the “adherence dimension” rather than on the basis of a “yes/no” or “high/low” dichotomous response, thus providing more detail and differentiation between individuals. MARS‐5 follows the same structure as MARS‐10 and asks respondents to rate the frequency with which the five different medication‐taking behaviours occur, scoring each item on a five‐point scale (5 = never, 4 = rarely, 3 = sometimes, 2 = often, 1 = very often), with higher scores indicating higher reported adherence. (Horne 2002; Lam 2015)

Materials and methods

Considering the aforementioned facts, our study sought to test the hypothesis that patients of both sexes with hypertension exhibit equal adherence to medication during the COVID-19 pandemic and to explore how the pandemic has affected the adherence of patients with high BP to prescribed antihypertensive drugs. We believe that the findings of this study will be beneficial for health care providers who deal with patients suffering from hypertension under the current conditions and will help them aid their patients in achieving good BP control.

This multicentre observational study utilized self-completed questionnaires to assess medication adherence among patients visiting several healthcare centres, including the cardiology outpatient clinic of a university hospital, a private cardiology practice, general practice offices, and a pharmacy between June and November 2020. Patients from the cities Varna and Plovdiv were recruited. Overall, 442 patients were included in the study. The inclusion criteria were patients aged greater than 18 years with hypertension who were undergoing treatment. The Ethics Committee of the Medical University of Sofia approved the study protocol. All participants provided written informed consent before entering the study, and the answers to all questionnaires were anonymized before evaluation. Primary data was collected through standard interviews, which included 13 questions about demographic data of the respondent, characteristics of the disease, comorbidities, risk factors, and blood pressure values. The likelihood of adherence was assessed using the Medication Adherence Report Scale (MARS‐5, Professor Rob Horne) – a shorter form of MARS‐10 with higher scores indicating higher reported adherence which was created and validated by Horne et al. (Horne 2002). The Medication Adherence Report Scale was translated into Bulgarian and standardized by forward translation, backward translation, and a pretest.

Face-to-face interviews with the patients were completed by the research team members.

The data were coded and statistically analysed using the IBM SPSS ver.21.0 software package. Statistical analyses included one-dimensional and two-dimensional frequency distributions; summarization of statistical quantities; the Kolmogorov-Smirnov test, which was used to check the normality of the distribution of measured traits; parametric tests to test hypotheses with respect to mean values (t-test for independent samples and analysis of variance (ANOVA)); nonparametric hypothesis testing, chi-square test for analysis of two-dimensional distributions and association measures (contingency factor). The critical significance level used was α <0.05.

Results

In total, 442 respondents took part in the survey, 57% (252) of whom were from Plovdiv and 43% (190) of whom were from Varna. The sex distribution of the whole sample was 51.1% male and 48.9% female. Two-dimensional distribution by sex and place of residence showed the following:

  • In Varna, 54.2% of the individuals who participated in the survey were men, and 45.8% were women.
  • In the city of Plovdiv, men accounted for 48.8% of the individuals who participated in the survey, and women accounted for 51.2% of these individuals.

The sample included respondents aged 19 to 91 years. The mean age of the respondents was 62.65, and the most common age was 60. The mean age of men was higher than that of women (63.96 vs. 61.27) (t = 2,069, p = 0.039). (Table 1).

Table 1.

Distribution of respondents by age (n = 442).

Age group Relative share (%) Cumulative share (%)
18–19 0.2 0.2
20–29 1.6 1.8
30–39 4.1 5.9
40–49 10.2 16.1
50–59 21.9 38.0
60–69 31.4 69.5
70–79 17.4 86.9
above 79 13.1 100.0

The one-dimensional frequency distribution of the grouped age data showed that the respondents from 60 to 69 years of age comprised the largest relative share of the sample, representing almost 1/3 of the entire sample.

One in five (20.8%) respondents indicated that they were in the first stage of hypertension, but the majority (62.9%) of respondents did not know the stage of their disease.

More of the patients who knew the stage of their disease were women than men (Pearson chi-square = 4,572, p = 0.033). For example, 32.3% of the surveyed men indicated the stage, while this percentage was 42.1% for women.

Among men who knew the stage of their disease, the percentage of those in the first stage (46.6%) was the highest. The percentage of patients in the first stage was also the highest among women who knew the stage of their disease, but this percentage was higher at 63.7%.

The average duration of the disease was 10.15 years, and the most common disease duration was 2 years (12.6% of respondents). The sample included respondents who ranged from being relatively recently diagnosed (1 month) to having the disease for more than 20 years (representing 10% of the sample). Men had a longer duration of the disease (mean 11.35 years) than women, with a mean of 8.91 years (t = 3.119, p = 0.002).

A moderately strong positive correlation was found between the age of the respondent and the duration of the disease (r = 0.567, p = 0.000).

The average duration of the disease varied depending on the stage of disease (chi-square = 59.228, p = 0.000); in the first stage, the median duration was 3 years, whereas it was 15 years in the third stage (Table 2).

Table 2.

Duration of the disease and stage - summarized characteristics.

Stage of hypertension Duration (years)
Mean Median Mode SD
First 4.6 3.00 2.00 3.9
Second 12.9 12.50 5.00 7.4
Third 15.5 15.00 20.00 5.1
Cannot determine/does not know 11.1 10.00 10.00 8.7

The average number of drugs taken by the respondents was 2.23 (median and fashion of 2). A total of 21.6% of the respondents accepted 1 drug, 44.7% accepted two, and 25.2% accepted three. Overall, 8.3% accepted more than 3 drugs. In the age groups up to 59 years, the number of drugs the participants admitted to using was lower than the average for the sample, while in those over 70 years, it was higher (F = 7.135, p = 0.000).

A difference in the average number of drugs taken was also found between respondents in different stages of hypertension; the average number of drug products taken those in the first stage was 1.89 drugs; that taken by patients in the second stage was 2.66, and that taken by patients in the third stage was 3.92 (22,717, p = 0.000).

Respondents with comorbidities received a higher average number of medications than those who noted no comorbidities (2.48 versus 2.05) (t = -4.746, p = 0.000).

Correlation analysis showed a medium-strong positive relationship between the duration of the disease and the number of drugs taken (r = 0.352, p = 0.000).

When asked if they happened to forget to take medication for hypertension, 21.4% of respondents indicated that this happens very often, and 55% indicated that it happens sometimes. Those who noted that they never fail to take medication accounted for 23.6% of the sample. Demographic factors (sex and age) did not influence forgetting to or not taking medication for hypertension.

Less than half (47.5%) of respondents stopped medication for hypertension when they felt unwell. This behaviour was more typical for men (52.2% of male respondents stopped taking drugs) than for women (42.6%) (contingency coefficient = 0.096, p = 0.043). Discontinuation of intake was also observed for respondents who were older (over 70 years of age), among whom the percentage of respondents who discontinued intake was significantly higher than the average value; for example, in 70–79-year-olds, this percentage was 51.9%, and for those over 79, it reached 72.4% (contingency coefficient = 0.234, p = 0.001). The stage of hypertension was unrelated to the respondents’ tendency to stop the intake of medication when they felt badly (contingency coefficient = 0.169, p = 0.091).

Less than 1/3 (28.3%) of the respondents stopped taking medication for hypertension when they felt better. As for the previous question, discontinuation of medication was more common for men than for women (35.4% of men versus 20.8% of women) (contingency coefficient = 0.160, p = 0.001). Among adult respondents (over 79 years of age), 51.7% stopped taking medication when they felt better (contingency coefficient = 0.211, p = 0.004) The stage of hypertension was unrelated to the respondents’ tendency to stop taking medication when they felt better (contingency coefficient = 0.168, p = 0.092).

A variant of MARS-5 was used in the study. Participants were asked to rate the frequency with which they engaged in each of the adherence‐related behaviours on a five‐point scale, where 5 = never, 4 = rarely, 3 = sometimes, 2 = often and 1 = always. Scores for each item were summed to give a total score, with higher scores indicating higher levels of reported adherence. As a result, the responses ranged from 5 to 25 as follows:

  • values of 5 to 10 meant a high degree of nonadherence to treatment;
  • values from 10 to 20 indicated average degree of adherence;
  • values from 20 to 25 indicated a high degree of adherence.

The average MARS score of the sample was 16.81, the median was 4.162, and the most common value was 3 (24.5% of respondents).

Overall, 18.1% had a high degree of adherence to the prescribed therapy, and almost 1/3 of the respondents (32.13%) had a low degree of adherence to the prescribed therapy. Table 3 presents the descriptive characteristics of the patients included.

Table 3.

MARS degree - descriptive characteristics (n = 442).

Relative share (%)
High degree 18.1
Average degree 49.77
Low degree 32.13

Table 4 presents two-dimensional frequency distributions of MARS scores and the demographic characteristics of the respondents:

Table 4.

MARS degrees and demographic characteristics of the respondents.

Demographic characteristic MARS degree
High Average Low
n % n % n %
Sex*
Male 33 7.47 109 24.66 84 19.0
Female 47 10.63 111 25.11 58 13.13
Age**
18–19 0 0.0 1 0.23 0 0.0
20–29 1 0.23 5 1.13 1 0.23
30–39 6 1.36 9 2.03 3 0.68
40–49 9 2.03 26 5.88 10 2.26
50–59 17 3.85 49 11.09 31 7.02
60–69 29 6.56 71 16.06 39 8.82
70–79 10 2.26 43 9.73 24 5.43
above 79 8 1.81 16 3.62 34 7.69
  • women were more likely to adhere to the prescribed treatment than men (15.2% of men versus 21.8% of women);
  • increasing age was associated with a decreased tendency to adhere to treatment (the highest share of low-degree MARS scores was observed in respondents over 60 years of age).

Analysis of the degree of MARS, hypertension (stage), the number of drugs taken and the presence of concomitant diseases did not reveal any significant differences. The only difference was found in respondents with renal insufficiency (among these respondents, 56.6% had low adherence compared to 30.7% for the whole sample) (Table 5).

Table 5.

MARS degree and characteristics of the disease.

Characteristic MARS degree
High Average Low
n % n % n %
Stage of hypertension*
First 17 3.85 55 12.44 20 4.52
Second 12 2.71 25 5.66 19 4.30
Third 2 0.45 11 2.49 3 0.68
Does not know 49 11.09 129 29.18 100 22.63
Number of medications**
0 0 0.0 1 0.23 0 0.0
1 19 4.3 48 10.86 28 6.33
2 35 7.92 86 19.46 74 16.74
3 15 3.93 62 14.03 33 7.47
4 10 2.26 10 2.26 6 1.36
5 1 0.23 6 1.36 0 0.0
6 0 0.0 1 0.23 1 0.23
7 0 0.0 1 0.23 0 0.0
Comorbidities ***
With 62 14.03 120 27.15 73 16.52
Without 18 4.07 100 22.62 69 15.61
Type of comorbidity
Stroke **** 3 0.68 6 1.36 7 1.58
Heart attack***** 2 0.45 7 1.58 4 0.90
Kidney failure****** 5 1.13 18 4.07 30 6.79
Blood pressure*******
Lower than 140/90 50 11.31 137 31 76 17.19
Higher than 140/90 30 6.79 83 18.79 66 14.93

Discussion

In the present study, in which adherence to pharmacological and nonpharmacological treatment was studied, approximately 70% of the participants complied with pharmacological treatment. Rates of adherence to pharmacological treatment ranged between 52% and 87% in studies conducted in Turkey and between 48% and 84% in studies conducted in other countries in Africa, America, Asia (Uzun 2009; Busari 2010; Mert 2011; Ambaw 2012; Aypak 2013; Lee 2013; Park 2013; Sahin 2015; Solomon 2015; Schmieder 2016). The WHO has reported that rates of adherence to pharmacological treatment by hypertension patients vary between 20% and 80% (Sabate 2003). Thus, it can be concluded that the rate of adherence to pharmacological treatment in the present study, which was conducted in two of the largest Bulgarian cities, coincides with the rates reported in the literature. In the present study, there was no association between adherence to pharmacological treatment and comorbidities in the sample. While adherence to treatment was shown to increase as the number of diseases increased in some studies, it was shown to decrease in other studies (Lee 2013; Hareri 2013; Bhandari 2015). In the study, an increase or decrease in the rate of adherence to treatment may have been due to the presence of comorbid chronic diseases, perceived health status, or differences in giving or receiving health care. COVID pandemic was not assessed as an important factor, influencing the level of adherence, although the patients stated that they know that the disease can worsen their health status. While sex was not shown to be a determinant of the rate of adherence to pharmacological treatment in some studies, the adherence rate was shown to be higher in women in other studies (Mert 2011; Lee 2013). In the present study, although not significant, the rate of adherence was higher in women, as previously shown in the literature (Hareri 2013). This can be explained by the fact that men are busier with outdoor activities and forget to look after their health during the workday if they experience no symptoms.

Conclusions

In the present study, approximately one-third of the participants complied with pharmacological treatment. The study suggests that several sociodemographic factors but not the COVID pandemic play a role in treatment adherence. The results suggest that good motivation from health care providers can increase adherence among hypertensive patients. Further studies must regularly follow patients and assess their level of adherence to identify the causes of non-adherence and solve this problem.

Funding: The authors would like to acknowledge the financial support by the European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project › BG-RRP-2.004-0004-C01.

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