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Abstract

Aim: To evaluate the satisfaction, preferences and adherence of patients in secondary cardiovascular prevention treated with the Spanish National Cardiovascular Research Centre cardiovascular polypill compared with patients treated with the separate monocomponents. Methods: Observational, cross-sectional and multicenter study. Satisfaction was evaluated by the Treatment Satisfaction Questionnaire for Medication 9 items, adherence by the Morisky-Green questionnaire and ad-hoc questions were asked regarding patient preferences. Results: Polypill patients reported higher satisfaction than patients treated with the monocomponents (77.3 vs 71.2%; p < 0.0001). 72.8% of patients treated with the monocomponents would prefer to change to the polypill. Patients treated with the polypill had significantly higher adherence than patients treated with the monocomponents (57.7 vs 41.1%; p = 0.0027). Conclusion: Polypill patients show higher satisfaction and better adherence. Most patients receiving the monocomponents would prefer a polypill regime.
Secondary prevention is key to reduce recurrent events in cardiovascular disease (CVD) patients. The European Society of Cardiology (ESC) Committee for Practice Guidelines and the American College of Cardiology/American Heart Association Task Force recommend statins, angiotensin-converting enzyme inhibitors (ACEi) and low-dose acetylsalicylic acid (ASA) among the most effective drugs to reduce repeated events in this very high-risk patient group [1,2]. As this is a lifelong indication, patients must persist on these treatments for several years. Unfortunately, a high proportion of these patients abandon their treatments soon after hospital discharge [3,4].
During the last 15 years, the concept of a CV polypill, a therapeutic strategy based on a single pill containing more than one medication with proven benefit for CV prevention and targeting more than one modifiable CV risk factors, has emerged as one of the most scalable strategies to reduce CVD burden [5]. Through an improvement in adherence and persistence, CV polypills have demonstrated to improve blood pressure or LDL cholesterol control [6] and more importantly, to reduce the incidence of CV events [7]. In particular, the Spanish National Cardiovascular Research Centre (CNIC) polypill was specifically developed for a secondary CV prevention and comprises ASA, an ACEi (ramipril) and a statin (atorvastatin), three of the most effective drug classes after a CV event that tackles three different modifiable risk factors [5]. Additional medication can be added on top of the polypill for a further fine-tuned risk factor control. Therefore, a CV polypill might be considered as a baseline treatment to optimize the CV risk in very-high risk patients [8]. Indeed, ESC guidelines on cardiovascular prevention stated that a CV polypill should be considered as an integral part of a comprehensive CVD prevention strategy, together with lifestyle changes, to improve CV risk factor control [9,10].
One potential additional strength of CV polypills is to improve health-related quality of life (HRQoL) [11]. To improve the HRQoL of patients, doctors should understand what patients' need and how they feel [12]. Patients need, not only to be comprehensively informed about different treatment options, but also to express their preferences. Indeed, well informed patients and whose preferences have been taken into account, will adhere better to recommended life changes and pharmacological treatments [13].
Thus, the aim of the present study was to explore patients' preferences and satisfaction on being treated with the individual tablets or using the CNIC polypill in a secondary prevention setting as well as to evaluate treatment adherence with both regimes in routine clinical practice in Spain and Belgium. To the best of our knowledge, this is the first study to analyze patients' preferences and satisfaction with a CV polypill in real-world settings in Europe.

Methods

This was an observational, cross-sectional, multi-centric, two-cohort study with the participation of 32 investigator sites in Spain and four investigator sites in Belgium, conducted between July 2016 and September 2018. Each investigator site included consecutive patients in accordance with the selection criteria. Each investigator had to include 12 patients, 6 patients in each study cohort. However, due to the slow recruitment, inclusion became competitive. There were no interventions involving ongoing medications and/or decisions of the physicians. The registry was carried out following the current clinical guidelines and according to current clinical practice and was approved by the Spanish Agency of Medicines and Medical Devices and by the Independent Ethics Committee of the different hospitals involved in both countries.
Patients were enrolled in two different cohorts according to whether they were treated: with the CNIC polypill [5] (cohort A) or with the three monocomponents separately (ASA, a statin and an ACE inhibitor; cohort B). Patients in cohort A had to had been treated with the separate monocomponents before receiving the polypill. Enrollees had to be on their current treatment for at least 3 months prior to enrolment in the study, to prevent from induction to prescription, and to ensure that the patient had been treated for long time enough to have a valid opinion. Patients had to meet the following criteria: age over 18 years, history of cardiovascular disease (CVD) with the last CV event happening >1 year before enrollment, being on preventive treatment for CVD with the CNIC polypill or the three separately monocomponents (ASA, a statin and an ACE inhibitor) for at least 3 months and having signed the informed consent. To ensure comparability across study cohorts and minimize bias, patients from both cohorts were paired based on gender and age (±5 years).
Data collected from the medical record and at the study visit were sociodemographic, anthropometric and clinical characteristics. At the study visit patients were asked to complete two specific and validated questionnaires and one ad-hoc questionnaire. The Treatment Satisfaction Questionnaire for Medication (TSQM-9) [14] evaluated patients' satisfaction with treatment in three domains (effectiveness, convenience and global satisfaction) scored from 0 to 100. The Morisky Medication-Taking Adherence Scale (MMAS-4) [15] (used under permission by Donald E Morisky, ScD, ScM, MSPH) assessed adherence to treatment in a score ranging from 0 to 4, with three levels of medication compliance: highly compliant, moderately compliant and noncompliant with 0, 1–2 and 3–4 points, respectively [16]. The MMAS4 was selected because it is a convenient and easy to use self-reporting questionnaire that has demonstrated reasonable internal consistency and sensitivity and has been validated in different languages, including Spanish and French. In addition, the objective was to measure adherence and not to measure the causes for nonadherence, which case would have justified the need for a more sophisticated questionnaire. An ad-hoc questionnaire was designed to determine patients' preferences with different questions per cohort:
Cohort A: Patients were asked to provide information about their preferences regarding the use of the CV polypill and the previous treatment with the monocomponents (Figure 1A);
Cohort B: Patients were explained the concept of the polypill and were asked about their preferences regarding their current treatment with the separate components or the polypill concept (Figure 1B).
Figure 1. Results of the preferences ad-hoc questionnaire.
Responses of the ad-hoc questionnaire exploring patients' satisfaction (A) in cohort A (polypill) and (B) in cohort B (monocomponents).
CV: Cardiovascular.
All data were collected in an electronic case report form designed for the study.

Statistical analysis

Descriptive statistics were used to evaluate sociodemographic and clinical variables at the study visit, stratified by cohort. The chi-square test was used to compare the categorical variables between the different study cohorts, and Student's t-test or its nonparametric equivalent, Mann–Whitney U-test, for the continuous variables. Continuous variables were described by mean, standard deviation, minimum, median and maximum; categorical variables will be described by number and percentage of patients per response category.
Patients' satisfaction with the treatment was analyzed by means of the TSQM-9 scores. The result was presented globally and by study cohort. Adherence, assessed by the MMAS questionnaire, was analyzed as an ordinal variable and described globally and by study cohort. For each of the ad-hoc questions, the number and percentage of patient responses was described. There was no imputation of missing data; only the available data were analyzed. The number and percentage of missing values for each variable was recorded in all descriptive analyses. Two-tailed alpha of 0.05 was used in all statistical tests.
Database management and data analysis were performed using SAS® 9.4.

Results

Patient population

A total of 366 patients were included: 345 in Spain and 21 in Belgium, 335 of whom were evaluable: 5 patients did not complete the questionnaires, 1 retired the consent and 25 patients were not treated with the 3 monocomponents separately.
Table 1 shows the demographic characteristics of patients receiving preventive treatment for CVD in cohorts A (polypill) and B (monocomponents) and total; with no significant differences between cohorts. Mean (SD) age was 69.4 ± 11.2 years, 77.0% of patients included where male and the majority were Caucasian (92.2%). 11.7% were active smokers and 44.1% ex-smokers with an average of 11.5 ± 10.8 years since quitting. 50.2% of patients presented overweight (25≤BMI<30) and 27.4% obesity (BMI ≥30), and although not statistically different, a higher percentage of obese patients was found in the polypill cohort (33.3 vs 20.8% in the monocomponents cohort, p = 0.1325). At the study visit, 120 patients (36.6%) had high blood pressure (≥140/≥90 mmHg), while 25 (8.1%) and 179 (64.4%) had high total (≥200 mg/dl) and low density (≥70 mg/dl) cholesterol levels, respectively. A significantly higher proportion of patients treated with the monocomponents presented a family background of CV events compared with polypill patients (36.1 vs 24.4%; p 0.0198).
Table 1. Sociodemographic and clinical characteristics of the population included in the study.
 Cohort A (polypill) (n = 180)Cohort B (monocomponents) (n = 155)Total (n = 335)p-value
Age (mean [SD])69.8 (11.1)68.9 (11.4)69.4 (11.2)0.65
Male141 (78.3%)117 (75.5%)258 (77.0%)0.53
Caucasian165 (92.2%)143 (92.3%)308 (92.2%)0.47
Education: with university studies9 (5.7%)6 (4.3%)15 (5.1%)0.90
Occupational status: retired115 (69.3%)91 (64.1%)206 (66.9%)0.78
Civil status: married/with partner117 (74.5%)110 (77.5%)227 (75.9%)0.76
Ex-smokers
  • Years since quitting (mean [SD])
74 (43.0%)
11.4 (11.6)
69 (45.4%)
11.5 (10.0)
143 (44.1%)
11.5 (10.8)
0.22
Smokers
  • Number of cigarettes/day (mean [SD])
16 (9.3%)
19.5 (9.7)
22 (14.5%)
18.6 (8.9)
38 (11.7%)
19.1 (9.3)
0.64
Family background of CV events44 (24.4%)56 (36.1%)100 (29.9%)0.01
BMI (mean [SD])27.7 (3.9%)25.9 (3.6%)27.56 (3.99)0.21
Overweight (BMI ≥25)
Obesity (BMI ≥30)
63 (45.7%)
46 (33.3%)
69 (55.2%)
26 (20.8%)
132 (50.2%)
72 (27.4%)
0.13
Blood pressure, mmHg:
  • Normal: 120–129/80–84 mmHg or less
  • Normal–high: 130–139/85–89 mmHg
  • High: ≥140/≥90 mmHg

95 (54.3%)
12 (6.9%)
68 (38.9%)

74 (48.4%)
27 (17.6%)
52 (34.0%)

169 (51.5%)
39 (11.9%)
120 (36.6%)
0.91
Total cholesterol (mean [SD]), mg/dl
On target level (<200 mg/dl)
Hypercholesterolemia (≥200 mg/ml)
153.1 (34.0)
143 (89.9%)
16 (10.1%)
149.6 (32.4)
139 (93.9%)
9 (6.1%)
151.8 (33.2)
282 (91.9%)
25 (8.1%)
0.59
0.2024
High-density lipoprotein cholesterol (mean [SD]), mg/dl
On target level (<70 mg/dl)
Not on target level (≥700 mg/dl)
45.0 (13.03)
49 (33.6%)
97 (66.4%)
44.9 (14.8)
50 (37.9%)
82 (62.1%)
45.0 (13.90)
99 (35.6%)
179 (64.4%)
0.76
0.4529
Low-density lipoprotein cholesterol (mean [SD]), mg/dl
On target level (<35 mg/dl in men and <40 mg/dl in women)
Altered (≥35 mg/dl in men and ≥40 mg/dl in women)
84.3 (30.0)
104 (73.2%)
38 (26.8%)
79.5 (27.2)
94 (72.3%)
36 (27.7%)
82.0 (28.7)
198 (72.8%)
74 (27.2%)
0.34
0.8631
Triglycerides (mean [SD]), mg/dl
Normal (<150 mg/dl)
Normal-High (150–200 mg/dl)
Moderate hypertriglyceridemia (200–500 mg/dl)
132.2 (62.7)
106 (69.7%)
26 (17.1%)
20 (13.2%)
131.9 (69.2)
99 (68.8%)
23 (16.0%)
22 (15.3%)
132.0 (65.8)
205 (69.3%)
49 (16.6%)
42 (14.2%)
0.45
0.8599
Presence of concomitant conditions:
  • Hypertension
  • hypercholesterolemia
  • Type I/II diabetes
  • COPD
153 (85.0%)
135 (88.2%)
110 (71.9%)
76 (49.7%)
20 (13.1%)
137 (88.4%)
120 (87.6%)
120 (87.6%)
63 (46.0%)
27 (19.7%)
290 (86.6%)
255 (87.9%)
230 (79.3%)
139 (47.9%)
47 (16.2%)
0.36
Data are expressed as number of patients (%), with the exception of age, years since quitting, N° cigarretes/day; total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglicerides, which are expressed as mean absolute (SD). The chi-square test was used to compare the categorical variables between the different study cohorts, and Student's t-test or its non-parametric equivalent, Mann-Whitney U-test, for the continuous variables.
BMI: Body mass index; COPD: Chronic obstrictive pulmonary disease; CV: Cardiovascular; SD: Standard deviation.
Table 2 describes time since last CV event and time with the current study treatment for both cohorts. Median time since the last CV event to the study visit was 3.0 years ([interquartile range (IQ)] 1.5; 7.2) while median time since the start of the initial CV prevention treatment was 3.1 years ([IQ] 1.4; 7.1), being significantly shorter (p = 0.0383) for patients in polypill (2.7 years; [interquartile range (IQ)] 1.3; 6.8) compared with patients with the monocomponents (3.6 years; [interquartile range (IQ)] 1.7; 7.9). The most frequent previous CV events reported were coronary artery disease (80.3%) followed by cerebrovascular disease (14.0%). Hypertension was the most frequent risk factor described (87.9%) followed by hypercholesterolemia (79.3%).
Table 2. Description of time since last cardiovascular event, time with secondary preventive treatment and time with the treatment at the time of study visit.
VariableCohort A (polypill) (n = 180)Cohort B (monocomponents) (n = 155)Total (n = 335)p-value
Time since last CV event (years)
  N valid
  Mean (SD)
  Median
  P25; P75
  Min; Max
  N missing

168
5.05 (5.4)
2.7
1.4; 7.3
0.2; 29.8
12

137
5.11 (5.0)
3.2
(1.6; 7.1)
(0.0; 27.5)
18

305
5.08 (5.2)
3.0
(1.5; 7.2)
(0.0; 29.8)
30

0.3904
Time since first treatment for secondary prevention (years)
  N valid
  Mean (SD)
  Median
  P25; P75
  Min; Max
  N missing

155
4.55 (4.6)
2.7
1.3; 6.8
0.2; 22.6
25

136
5.54 (5.4)
3.6
1.7; 7.9
0.3; 33.1
19

291
5.01 (5.0)
3.1
1.4; 7.1
0.2; 33.1
44

0.0383
Time with current drug treatment at study visit (months)
  N valid
  Mean (SD)
  Median
  P25; P75
  Min; Max
  N missing

180
10.59 (6.7)
9.8
4.5; 14.1
3.0; 35.8
0

153
45.76 (43.7)
26.1
14.9; 68.8
3.0; 252.3
2

333
26.75 (34.7)
13.8
7.8; 25.4
3.0; 252.3
2

<0.0001
31 patients with a CV event <1 years since study visit were included.
Wilcoxon-Mann-Whitney test.
Two-tailed alpha of 0.05 was used to determine statistical significance.
CV: Cardiovascular.
Significant differences were observed between both cohorts when comparing time in treatment with current study drug (p < 0.0001): patients in the polypill group were receiving this treatment for a shorter period 9.8 months ([IQR] 4.5; 14.1) than patients with the three monocomponents, 26.1 months ([IQR] 14.9; 68.8).

Treatment at study visit

A total of 180 patients were receiving treatment with the polypill (cohort A) and 155 patients the three monocomponents separately (cohort B). Ramipril 5 mg was the dose most frequently reported in the polypill cohort (50%; Table 3). Patients receiving the polypill reported fewer concomitant medications prescribed at the study visit (6.13 ± 2.88) that those in cohort B (8.12 ± 3.18; p < 0.0001).
Table 3. Description of treatment at study visit.
Cohort A (polypill)DosageN = 180
ASA doses in the CV polypill100 mg180 (100.0%)
Atorvastatin doses in the CV polypill20 mg180 (100.0%)
Ramipril doses in the CV polypill2.5 mg52 (28.9%)
 5 mg90 (50.0%)
 10 mg38 (21.1%)
Cohort B (monocomponents)Drug/dosageN = 155
Doses ASAASA 80 mg10 (6.5%)
 ASA-100 mg133 (86.9%)
 ASA-150 mg8 (5.2%)
 ASA300 mg2 (1.3%)
StatinAtorvastatin116 (74.8%)
 Simvastatin26 (16.8%)
Statin dosesAtorvastatin-40 mg55 (35.5%)
 Atorvastatin-80 mg37 (23.9%)
 Atorvastatin-20 mg16 (10.3%)
 Simvastatin-20 mg13 (8.4%)
 Simvastatin-40 mg11 (7.1%)
ACE-iRamipril72 (46.5%)
 Enalapril69 (44.5%)
Doses ACE-iRamipril-5 mg44 (28.4%)
 Enalapril-10 mg17 (11.0%)
 Enalapril-20 mg35 (22.6%)
 Enalapril-5 mg16 (10.3%)
Results are expressed as number of patients (% over total).
ACE-i: Angiotensin converting enzyme inhibitor; ASA: Acetylsalicylic acid; CV: Cardiovascular.

Treatment satisfaction

The level of satisfaction with treatment in both cohorts was evaluated at the unique study visit according the scores obtained in the three TSQM-9 domains. A total of 329 patients completed the TSQM-9 questionnaire: 178 patients in cohort A and 151 in cohort B. As shown in Figure 2, patients treated with the CV polypill showed significantly higher scores in the two specific domains of TSQM-9 and in the global satisfaction domain, with a score of 77.3 versus 71.2% in the polypill cohort and monocomponents cohort, respectively (p < 0.0001).
Figure 2. Treatment Satisfaction Questionnaire for Medication (TSQM-9) scores in the three-dimensions of the questionnaire: ‘Effectiveness’, ‘Convenience’ and ‘Global satisfaction’ for cohort A (polypill) and cohort B (monocomponents).
Two-tailed alpha of 0.05 was used to determine statistical significance.
SD: Standard deviation.
Multiple logistic regression adjusted by center showed that: a lower number of concomitant medications, LDL level at therapeutic goal (<70 mg/dl) and receiving the polypill were related to greater satisfaction with the effectiveness of the treatment; a younger age and receiving the polypill were related to greater satisfaction with treatment convenience; and receiving the polypill was related to greater overall satisfaction with the treatment.

Patients' preferences

Patients' preferences were analyzed by an ad-hoc questionnaire created for this study for each cohort. In cohort A, 92% patients treated with the CNIC polypill declared that it was very easy to take, and compared with the monocomponents, 98% would choose the polypill, and 98.8 and 96.9% considered the polypill more practical and more trustable than the monocomponents, respectively (Figure 1A).
In cohort B, 72.8% of patients treated with the three monocomponents reported they would switch to the CNIC polypill. 62.5% would still change the three monocomponents for a polypill even if the price of the polypill was higher than the monocomponents, while 25.4% would have to think about the switch and 6.7% would not consider changing (Figure 1B).

Adherence

Adherence to secondary prevention treatment was analyzed using the MMAS-4 and revealed statistically significant differences between cohorts. Patients with the CV polypill where significantly (p = 0.0027) more compliant (57.7%) than patients taking the monocomponents separately (41.3%; Table 4). There were also significant differences between cohort in moderately compliant patients (18.9 vs 8.7%) and noncompliant patients (23.4 vs 50.0%).
Table 4. Assessment of medication adherence in patients with secondary prevention by MMAS-4 questionnaire.
MMAS-4 itemsPercentage of patients who answered ‘no’ (%)
 Cohort A (polypill) (n = 175)Cohort B (monocomponents) (n = 151)p-value
Item 1. Have you ever forgotten to take your medicine?132 (75.0%)74 (49.0%)<0.0001
Item 2. Do you take your medicine at the indicated times?11 (6.6%)25 (17.9%)0.0024
Item 3. When you are feeling well. do you sometimes stop taking your medicine? (for Spain)165 (93.8%)129 (85.4%)0.0128
Item 3. Are you sometimes a little careless when taking your medications? (for Belgium)10 (100.0%)11 (100.0%)NA
Item 4. If they ever make you feel unwell. do you stop taking your medicine?137 (78.3%)110 (73.3%)0.2973
Highly compliant (0 points in MAAS-4)101 (57.7%)62 (41.3%)<0.0001
Moderately compliant (1–2 points in MAAS-4)33 (18.9%)13 (8.7%) 
Noncompliant (3-4 points in MAAS-4)41 (23.4%)75 (50.0%) 
MAAS-4: Morisky Medication-Taking Adherence Scale.
Results are expressed in number of patients (% over total). Two-tailed alpha of 0.05 was used to determine statistical significance.

Discussion

The study showed higher satisfaction assessed by the TSQM-9 questionnaire and higher adherence measured using the MMAS-4 in patients receiving the CNIC polypill. In addition, the CNIC polypill was the preferred treatment option for most patients.
The two cohorts of patients were well balanced as shown in Table 1. Sociodemographic and clinical characteristics were similar between both cohorts and with those reported in literature for patients in secondary CV prevention [17]: elderly patients, mainly males, smokers or ex-smokers with an important degree of obesity and with concomitant pathologies. Treatment in cohort B was mainly ASA 100 mg, atorvastatin as the main statin, and ramipril or enalapril as ACEi. Statin strengths were higher in the monocomponents arm compared with the polypill arm. 35.5 and 23.9% were treated with atorvastatin 40 and 80 mg, respectively, compared with 10.3% with 20 mg. At the time of the study, the CNIC polypill was available in the 20 mg atorvastatin strength, although since 2017 the 40 mg atorvastatin strength has also been available.
Regarding the primary aim of the study, patients' satisfaction (as the perception of an individual's experience compared with their expectations), our results showed that secondary prevention patients treated with the CNIC polypill were more satisfied than those patients treated with monocomponents separately, with a significantly higher score in each of the three scales in the TSQM-9 questionnaire: ‘effectiveness’, ‘convenience’ and ‘global satisfaction’. In this regard, a factor that can contribute to a higher satisfaction is the number of prescribed drugs. In our study, patients treated with the polypill took a smaller number of concomitant drugs than patients treated with the monocomponents (6.1 ± 2.9 vs 8.1 ± 3.2, p < 0.0001) which may explain, at least in part, the results on satisfaction. It is also important to notice that the perception of ‘effectiveness’ increased with the polypill, even though patients in cohort A were treated with higher statin strengths. It could be argued that higher satisfaction would be indirectly related with a higher degree of treatment adherence, which may result in a better CV risk factors control. In fact, recent data from two different observational studies in a real-life clinical settings in Mexico [18,19] shed some light into this hypothesis, showing that patients treated with a version of the CNIC polypill containing simvastatin instead of atorvastatin improved their blood pressure and lipid levels, and showed a significant reduction Framingham risk score compared with their previous treatment.
Our results on satisfaction were also consistent with results of another study that compared satisfaction of an antihypertensive fixed dose combination versus separate pills. A high percentage of patients were more satisfied with the antihypertensive polypill therapy, stating than ‘effectiveness’ and ‘convenience’ of the treatment were the most important factors for patients [20].
In terms of patients' preferences, an ad-hoc questionnaire was developed to evaluate this item. Questionnaire results for cohort A revealed that the polypill strategy was relevant for nearly all our studied population (98.9%) who stated to prefer the polypill rather than the monocomponents separately. This could be explained as patients' expectations with the polypill have been satisfied also in improving patient's quality of life, willing to keep the polypill treatment as a long-term option. Most patients also stated that the polypill was easier to take and more trustful than the monocomponents, which could reinforce a better adherence, and ultimately, a better CV risk control.
Conversely, 72.8% of the patients treated in cohort B declared they would switch to the CV polypill while 4.6% answered that they would not consider it. These findings are aligned with published literature which also reflects that the a polypill treatment is an attractive option to patients, who see advantages over their current treatment [21], and highlight the need to ask patients about their preferences. In addition, in our study 63.1% of all the patients reaffirmed their will to switch to the CV polypill even if the out of pocket cost was higher. Previous research supports an increased willingness to pay from patients in order to reduce the pill burden [22].
The adherence to the treatment as measured by the MMAS-4 was higher in the CV polypill group (57.7 vs 41.1% p = 0.0027) when considering highly compliant patients and the adherence difference between groups increased when also considering moderately compliant patients (76.6 vs 50.0% p < 0.0001). It is important to notice that 50.0% of patients treated with the monocomponents were considered non-adherent to treatment, and 49.7% answered ‘no’ to all MMAS-4 items compared with the 23.4% of patients in cohort A. The increased number of drugs could be one of the reasons for the higher non-adherence in the monocomponents cohort of our study. There is also evidence than adherence in chronic diseases is influenced by medication complexity: the simplest the regimen the greater patient adherence is. Our results on adherence are in line with previous studies with several polypills [23,24].
Although the increase in adherence is followed by an increase in CV risk factors control and in a lower incidence of CV events, as recently shown in the PolyIran study [7], a recent study has also shown a synergistic effect within the components of the present CV polypill, in terms of a higher LDL-c reduction, which also may contribute to a better risk factors control [25].
This research, however, is subject to several limitations. One of them is the cross sectional study design, with no longitudinal data obtained. Another limitation is the criteria about time since the event, which was defined once the study was active, and 30 patients who had the last CV event <1 year since study visit were included in the total analyzed population. It must be pointed out that patients in cohort B had a significantly longer median duration of treatment at the time of study compared with those patients in cohort A, potentially having an effect in the comparability of the data between the two cohorts. The impact on comparability can be more significant in the adherence end point as it has been demonstrated that adherence to treatment tends to decrease over time. However, research shows that the decrease in treatment adherence occurs during the first 18 months of treatment, plateauing at a later stage [26]. Finally, the self-reported nature of the three questionnaires employed have intrinsic limitations such as a social desirability bias or the absence of introspective ability. In particular, the use of the MMAS-4 may limit comparability to other adherence studies. MMAS-4 was selected as a self-reported, easy to use and validated instrument for adherence measurement that enabled the comparison between two groups. However, its simplistic nature has been suggested to affect its acceptability and internal consistency, and comparisons with more sophisticated instruments or direct adherence observation must be made with caution.

Conclusion

According to results, we can conclude that secondary prevention patients treated with a CV polypill showed a significantly higher degree of satisfaction and significantly higher medication adherence compared with patients that were treated with the monocomponents separately. Patients treated with the polypill strategy stated their perception of the polypill strategy as a convenient treatment enabling a high degree of confidence, preferring it over being treated with the separate monocomponents. A majority of patients treated with separate monocomponents expressed preference toward the polypill strategy when explained the concept.
By asking the patient about its preferences the patient becomes judgmental of the posed treatment options and may become more involved, committed and satisfied with the received treatment positively impacting persistence and adherence to treatment which in turn could lead to improved treatment outcomes. Therefore, patient preferences should be considered, especially when establishing chronic treatments.
Our work settles the ground for further research in this area, aiming to clarify the long-term relationship between patient satisfaction to the treatment with increased adherence and treatment outcomes. Nonetheless, considering the relevant burden of CV disease and the treatment gaps in cardiovascular prevention, the implications of our findings become relevant providing further evidence of the potential role polypill strategies can play in cardiovascular prevention.
Summary points
Patients' preferences are gaining importance and they should be considered when establishing chronic treatments.
This paper explored patients' satisfaction, preferences and adherence of a cardiovascular (CV) polypill compared with the individual monocomponents.
Patients treated with the CV polypill showed a significantly higher degree of satisfaction and better adherence compared with those who were treated with the monocomponents.
A majority of patients treated with the CV polypill asserted their preference for this treatment.
A significant proportion of patients receiving the monocomponents declared that they would like to switch their regime when they were explained the concept of the CV polypill.
CV polypills offer a simplified pill burden that may be preferred by certain patients.
It has been suggested that patients that are satisfied with their treatment are more likely to have long term compliance and may experience better treatment outcomes.

Author contributions

All authors have contributed to the conception, design and acquisition of this article. Additionally, they have drafted and critically revised this manuscript. They all agree to be accountable for all aspects of work ensuring integrity and accuracy, as well as its final approval.

Acknowledgments

The authors wish to acknowledge all the cardiologist from the Aurora investigator group for their effective contribution in this study: A Peset (H Catstellon); VJ Girbes (HL Alcanyis); V Ortiz (H de Sagunto); M Quintanilla (H Gerenal Elche); A Tamayo (H Elda); N Leal (H General de Catalunya); M Gimenez (H Clinic de Barcelona); M Ribells (H General de Granollers); FJ Muñoz (H de Mollet); M Borras (H Arnau de Vilanova); MA Araujo (H Severo Ochoa); A Curcio (H de Fuenlabrada); PP Casado (H la Princesa); A Villanueva (H Universitario Rey Juan Carlos); N Lorenzo (H Infanta Cristina); N Muñoz (H Infanta Leonor); D Gudiño (H Nuestra Señora de la Candelaria); JA Alarcon (H Universitario Donostia); EM Pereira (H Lucus Augusti); C Peña (H Clinico Santiago); M Gutierrez (Complejo H Universitario Ourense); A Rodriguez (H Arquitecto Macide); J Idoate (H de Leon); M Amado (H General Segovia); E Martin (H Universitario Guadalajara); JL Bardaji (H Virgen de la Luz); J Lopez (H Reina Sofia); M Padilla (H de Jaen); P Santiafo (H la Loja); F Sabatel (H Santa Ana); B Cosyns (UZ Brussel) and R Casado (Hôspital Erasme).
Thanks are also extended to A Molina, C Ruiz, F Rodriguez, J Ferrer and M Garcia for their great motivation and commitment with this project. Acknowledgment to Ferrer Internacional for the support on this work.

Financial & competing interests disclosure

Financial support for the conduction of the AURORA study and for the creation of this paper was provided by Ferrer Internacional. JCS has received research grants and speaker honorarium from Ferrer Internacional. JMMZ, HOPR, FGG and KH have received research grants from Ferrer Internacional. GR is full-time employees in Ferrer Internacional. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Writing assistance was provided by Anna del Prado, IQVIA, Madrid (Spain) and assistance with submission has been provided by Content Ed Net, Madrid (Spain).

Data sharing statement

The data underlying this article will be shared on reasonable request to the corresponding author.

Open access

This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

References

Papers of special note have been highlighted as: • of interest; •• of considerable interest
1.
Knuuti J, Wijns W, Saraste A et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur. Heart J. 41(3), 407–477 (2020).
2.
Fihn SD, Blankenship JC, Alexander KP et al. 2014 ACC/AHA/AATS/PCNA/SCAI/STS focused update of the guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines, and the American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J. Am. Coll. Cardiol. 64(18), 1929–1949 (2014).
3.
Chen ST, Huang ST, Shau WY et al. Long-term statin adherence in patients after hospital discharge for new onset of atherosclerotic cardiovascular disease: a population-based study of real world prescriptions in Taiwan. BMC Cardiovasc. Disord. 19(1), 62 (2019).
4.
Klimis H, Chow CK. Clinical consequences of poor adherence to lipid-lowering therapy in patients with cardiovascular disease: can we do better? Heart Asia 11, e011200 (2019).
5.
Fuster V, Gambus F, Patriciello A, Hamrin M, Grobbee DE. The polypill approach – an innovative strategy to improve cardiovascular health in Europe. BMC Pharmacol. Toxicol. 18(1), 10 (2017).
• Discussion about how the polypill approach should be considered by physicians and public health systems as an available and innovative option to improve cardiovascular health in light of the high burden of cardiovascular diseases worldwide.
6.
Munoz D, Uzoije P, Reynolds C et al. Polypill for cardiovascular disease prevention in an underserved population. N. Engl. J. Med. 381(12), 1114–1123 (2019).
7.
Roshandel G, Khoshnia M, Poustchi H et al. Effectiveness of polypill for primary and secondary prevention of cardiovascular diseases (PolyIran): a pragmatic, cluster-randomised trial. Lancet (London, England) 394, 672–683 (2019).
8.
Wald NJ, Law MR. A strategy to reduce cardiovascular disease by more than 80%. BMJ 326(7404), 1419 (2003).
9.
Ibanez B, James S, Agewall S et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur. Heart J. 39, 119–177 (2018).
10.
Piepoli MF, Hoes AW, Agewall S et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: the Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur. Heart J. 37, 2315–2381 (2016).
11.
Roy A, Naik N, Srinath Reddy K. Strengths and limitations of using the polypill in cardiovascular prevention. Curr. Cardiol. Rep. 19, 45 (2017).
12.
Say RE, Thomson R. The importance of patient preferences in treatment decisions – challenges for doctors. BMJ 327, 542–545 (2003).
•• Discusses how increased involvement of patients in making treatment decisions poses new challenges for doctors and how can these challenges be faced.
13.
Paterick TE, Patel N, Tajik AJ, Chandrasekaran K. Improving health outcomes through patient education and partnerships with patients. Proc. (Bayl. Univ. Med. Cent.) 30, 112–113 (2017).
•• Establishes the importance of patient–physician partnerships and the need to actively involve patients in their healthcare decisions to ultimately lead to better outcomes.
14.
Atkinson MJ, Sinha A, Hass SL et al. Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease. Health. Qual. Life. Outcomes 2, 12 (2004).
15.
Val Jimenez A, Amoros Ballestero G, Martinez Visa P, Fernandez Ferre ML, Leon Sanroma M. Descriptive study of patient compliance in pharmacologic antihypertensive treatment and validation of the Morisky and Green test. Atencion. Primaria 10, 767–770 (1992).
16.
Koschack J, Marx G, Schnakenberg J, Kochen MM, Himmel W. Comparison of two self-rating instruments for medication adherence assessment in hypertension revealed insufficient psychometric properties. J. Clin. Epidemiol. 63, 299–306 (2010).
17.
Kotseva K, De Backer G, De Bacquer D et al. Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: results from the European Society of Cardiology ESC-EORP EUROASPIRE V registry. Eur. J. Prev. Cardiol. 26, 824–835 (2019).
18.
Castellano JM, Verdejo J, Ocampo S et al. Clinical effectiveness of the cardiovascular polypill in a real-life setting in patients with cardiovascular risk: the SORS Study. Arch. Med. Res. 50, 31–40 (2019).
19.
Mendez-Garcia LA, Gonzalez-Chavez A, Trejo-Millan F et al. Six month polypill therapy improves lipid profile in patients with previous acute myocardial infarction: the Heart-Mex Study. Arch. Med. Res. 50, 197–206 (2019).
20.
Olszanecka-Glinianowicz M, Smertka M, Almgren-Rachtan A, Chudek J. Ramipril/amlodipine single pill – effectiveness, tolerance and patient satisfaction with antihypertensive therapy in relation to nutritional status. Pharmacol. Rep. 66, 1043–1049 (2014).
•• Study demonstrating high levels of patient satisfaction when switching from a monocomponent treatment to a fixed dose combination for the control of blood presure.
21.
Lafeber M, Grobbee DE, Schrover IM et al. Comparison of a morning polypill, evening polypill and individual pills on LDL-cholesterol, ambulatory blood pressure and adherence in high-risk patients; a randomized crossover trial. Int. J. Cardiol. 181, 193–199 (2015).
22.
Laba TL, Howard K, Rose J et al. Patient preferences for a polypill for the prevention of cardiovascular diseases. Ann. Pharmacother. 49(5), 528–539 (2015).
•• Discrete choice experiment to assess the influence of polypill-based treatment attributes and patient characteristics on preferences for cardiovascular disease preventive treatment. Assuming equivalent efficacy and safety, patients preferred a polypill strategy and were willing to pay additional out-of-pocket costs for each daily tablet reduction.
23.
Castellano JM, Sanz G, Penalvo JL et al. A polypill strategy to improve adherence: results from the FOCUS project. J. Am. Coll. Cardiol. 64, 2071–2082 (2014).
•• Compared with the 3 drugs given separately, the use of a polypill strategy met the primary endpoint for adherence for secondary prevention following an acute myocardial infarction.
24.
Thom S, Poulter N, Field J et al. Effects of a fixed-dose combination strategy on adherence and risk factors in patients with or at high risk of CVD: the UMPIRE randomized clinical trial. JAMA 310, 918–929 (2013).
•• Among patients with or at high risk of cardiovascular disease, use of an FDC strategy for blood pressure, cholesterol, and platelet control vs usual care resulted in significantly improved medication adherence at 15 months and statistically significant improvements in SBP and LDL-C.
25.
Gonzalez-Juanatey JR, Tamargo J, Torres F, Weisser B, Oudovenko N. Pharmacodynamic study of the cardiovascular polypill. Is there any interaction among the monocomponents? Rev. Esp. Cardiol. (Engl. Ed). 74(1), 51–58 (2021).
26.
Blackburn DF, Dobson RT, Blackburn JL et al. Adherence to statins, beta-blockers and angiotensin-converting enzyme inhibitors following a first cardiovascular event: a retrospective cohort study. Can. J. Cardiol. 21(6), 485–488 (2005).