Research Article |
Corresponding author: Valentina Petkova ( petkovav1972@yahoo.com ) Academic editor: Plamen Peikov
© 2023 Valentina Petkova, Anna Peneva, Kalina Andreevska, Emil Hristov, Daniela Grekova, Anna Todorova, Antoaneta Tsvetkova, Milen Dimitrov.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Petkova V, Peneva A, Andreevska K, Hristov E, Grekova D, Todorova A, Tsvetkova A, Dimitrov M (2023) Level of hypertension treatment adherence during pandemic. Pharmacia 70(3): 643-648. https://doi.org/10.3897/pharmacia.70.e109440
|
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.
Hypertension, adherence, Medication Adherence Report Scale (MARS-5Professor©Rob Horne)
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 (
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 (
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 (
Concerns have been raised about the cost of non-adherence, medication and resource waste and lack of effective strategies for preventing cardiovascular disease (
Self-reported scales are the most commonly used instruments to assess medication adherence in research and in clinical practice (
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. (
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. (
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.
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:
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
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
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:
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
Relative share (%) | |
---|---|
High degree | 18.1 |
Average degree | 49.77 |
Low degree | 32.13 |
Table
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 |
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
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 |
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 (
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.