Characteristics of Reliever Inhaler Users and Asthma Control: A Cross-Sectional Multicenter Study in Portuguese Community Pharmacies.

PURPOSE: SABA overuse might indicate poorly managed or uncontrolled asthma and be responsible for poor health outcomes. The aim of this study integrated in new fourth multi-design SABINA+ pillar was to characterize the population using short-acting β2-agonists for asthma and examine the patterns of its use among community pharmacy customers in Portugal, as well as identify characteristics associated with disease control and explore potential differences between GINA treatment steps. PATIENTS AND METHODS: This cross-sectional multicenter study was conducted in Portuguese community pharmacies between 29 May 2018 and 15 August 2018. Participants were adults (age ≥18 years) self-reporting asthma diagnosis recruited in the context of a short-acting β2-agonist dispense. A two-part questionnaire (pharmacist interview and self-administered) was used to collect information about sociodemographic characteristics, comorbidities, reliever inhaler use, healthcare resource consumption and self-reported disease control (assessed by the Control of Allergic Rhinitis and Asthma Test - CARAT®). Descriptive statistics was done to characterize the study sample. After categorizing patients according to GINA steps, based on their therapeutic regimen, we performed an exploratory subgroup analysis to evaluate if there were any differences between such groups in terms of the variables collected. A logistic regression was used to identify the potential determinants of overall disease control.
RESULTS: Around 50.8% of patients were male, and the average age was 52 years old. Half of the patients never smoked, and 51.9% were employed. More than half of the patients report inhaler overreliance - purchasing more than 1 pack in 3 months (65.0%) or using the inhaler on more than 8 days over the previous 4 weeks (50.2%). Of the total number of patients in the study, 79.1% had poorly controlled asthma symptoms, and 78.7% had overall poorly controlled respiratory symptoms. We found statistically significant differences between GINA treatment steps in all sociodemographic characteristics (sex, mean age, education level, employment status); maximum number of SABA uses in 24h, CARAT score (total an asthma sub-score); history of exacerbations requiring ED visits or treatment with OCS for at least 3 days in the previous 12 months. Logistic regression revealed that patients reporting SABA use in more than 8 days in the previous 4 weeks and patients with at least 1 exacerbation requiring treatment with OCS for at least 3 days in the previous 12 months have greater odds of poor disease control [adjusted OR (95% CI): 2.6 (1.3-5.2) and 3.0 (1.3-6.6)].
CONCLUSION: Based on the results of this study, it can be inferred that the asthma population using SABA is largely uncontrolled and uses reliever inhalers excessively.

Introduction

According to the 2018 Global Asthma Report estimates, asthma affected approximately 339 million people and was accountable for almost 1% of all-cause disability-adjusted life years (DALY) in that year, globally.1

In Portugal, the estimated life-long prevalence of the disease is 10.5%,2–4 posing a serious public health problem with considerable impact on quality of life.

Short-acting β2-agonists (SABA) are usually prescribed to manage episodes of asthma exacerbation. However, these medications are so successful in relieving symptoms that they are often over relied on to the detriment of the controller treatment.5 SABA overuse might indicate poorly managed or uncontrolled asthma and be responsible for a progressive worsening of the disease. Considering that the use of more than one unit of 200 doses of SABA per month is associated with a higher risk of exacerbation and death, this indicator should deserve special attention from health professionals.6 Overall, the excessive use of SABA may increase the risk for cardiovascular problems, depression, severe exacerbations, and even death.7–9

At the time of the present study, there was no information available about SABA utilization patterns in Portugal as well as its association with asthma control. It is important to know the extent of SABA overuse in the Portuguese asthma population so that health professionals can define strategies to address this public health issue.

The aim of this SABINA+ study was to characterize the population using a short-acting beta-2 agonist for asthma, among community pharmacy customers in Portugal. In detail, the study sought to describe the sociodemographic, clinical and health characteristics, therapeutic regimen, and disease control of the study sample. Additionally, the present study tried to identify the relationship between reliever inhaler overuse and disease control, and to explore the patients’ features associated with disease control.

Materials and Methods

Study Design and Data Collection

This observational, cross-sectional, multicenter study of patients with asthma who acquired a SABA inhaler belongs to the new fourth multi-design SABINA+ pillar. Details of the original SABINA program were published previously.10

This study was conducted in Portuguese community pharmacies affiliated with the National Association of Pharmacies (ANF) (95% of all pharmacies in Portugal). A poll of 2437 pharmacies using the Sifarma® software (83.4% of the total pharmacies in Portugal) were invited to participate. Among these, 432 accepted the invitation, and 168 recruited patients for the study (6.9% of the invited sample). Pharmacies willing to participate expressed their consent through an online form, after being informed about the study procedures.

The participating pharmacies were trained on the study protocol and received a study binder with all the materials needed to implement the study according to study procedures.

When dispensing a SABA inhaler, a pop-up alert was generated by the pharmacy software, to remind the pharmacist to verify patient’s compliance with the eligibility criteria: (1) Being the SABA user, (2) aged ≥18 years, (3) with a self-reported diagnosis of asthma, (4) with no cognitive impairment and (5) providing informed consent to participate in the study. The pop-up alert also aimed to decrease participant self-selection.

The self-reported asthma diagnosis was complemented by a set of questions on age at the time of diagnosis, early childhood or teenage symptom onset, history of allergies, spontaneous symptom improvement or immediate response to bronchodilator treatment, and drug regimen (coexistence of SABA, leukotriene receptor antagonists or inhaled corticosteroids in association with either short- or long-acting β2-agonists).

Patients were excluded when the pharmacy customer was not the user of the inhaler. If a patient refused to participate, pharmacists were asked to complete a refusal form with the customer’s sociodemographic information and reason for refusal.

Data was collected through a completely anonymous two-part questionnaire. The first part consisted of a pharmacist interview collecting data on the therapeutic regimen and the prescribed SABA inhaler dosage and posology. The second part, a self-administered questionnaire, collected information about the socio-demographic characteristics, comorbidities, patterns of SABA inhaler use, history of asthma exacerbations, asthma-related healthcare utilization and disease control. A validated patient-reported outcome measure – the Control of Allergic Rhinitis and Asthma Test (CARAT®) was used to assess disease control.11

Sample Size

The study was powered to estimate proportions with an absolute error of 5% and a 95% confidence level, resulting in a minimum sample size of 385 patients. Based on average monthly SABA sell-out in the pharmacies and assuming a minimum of 300 participating pharmacies and 50% refusal rate we estimated that a period of approximately 11 weeks would be enough to reach the needed sample.

SABA Inhaler Overuse and Disease Control

Asthma control was assessed by the Control of Allergic Rhinitis and Asthma Test (CARAT®).11 This test consists of 10 questions, each scored on a 4-point Likert scale and divided into two domains: allergic rhinitis (question 1–4) and asthma (question 5 −10). Overall disease control is defined as a CARAT score of ≥24 points, while asthma control is defined as a CARAT Asthma sub score of ≥16 points.

SABA overuse was assessed through 4 different indicators:

Number of days with SABA use in the previous 4 weeks (overuse defined as using more than 8 days12);

Average number of SABA uses per day in the previous 4 weeks (overuse defined as 3 or more uses12);

Maximum number of SABA uses in a 24-hour period, ever (overuse defined as more than 4 uses).

Number of canisters purchased in the previous 3 months (given the population habits of medication purchase, the research team decided to consider a shorter recall period).

Therapeutic Regimen

The therapeutic regimen was classified according to the GINA’s 2019 update.13 All the medicines used for asthma treatment as self-reported by patients in the pharmacist interview were entered in the database. Participants were classified in terms of their therapeutic regimen to one of the five steps of asthma treatment according to GINA 2019 recommendations. As it was impossible to distinguish treatment for steps 3 and 4 (because the questionnaire did not collect the dose and posology of asthma medications apart from the SABA inhaler), these were treated together as a single category. When patients reported using drugs that were compatible with both asthma and COPD treatment, they were allocated to the therapeutic regimen category of “Probable ACO/COPD”. When the combination of reported medicines indicated use of treatment for an exacerbation (eg, oral corticosteroids) they were allocated to the category of “Probable exacerbation”. Due to possible coding errors, it was not possible to classify 14 patients (total of patients characterized=374).

Statistical Analysis

Patients who did not accept to participate were characterized and compared with those participating to evaluate if there were any differences caused by sampling bias. The distribution of pharmacies that recruited patients was compared with the geographic distribution of community pharmacies using a Chi-square test for adjustment.

A descriptive analysis of the collected variables was performed. Categorical variables were summarized by absolute and relative frequencies. Continuous variables were summarized using central tendency and dispersion measurements. All the percentages were calculated excluding missing values. Independent sample group differences were analyzed using the Chi-square statistic. Stepwise logistic regression analysis was performed to identify and evaluate the association between different characteristics (sociodemographic, therapeutic regimen, health resource use, SABA overreliance, comorbidities) and the overall disease control. Data analysis was performed with SAS® Enterprise Guide® 4.1 and IBM SPSS Statistics V26.0 using a p-value cut-off of 0.05.

Results

Between 29 May 2018 and 15 August 2018, a total of 168 pharmacies participating in the study invited 678 patients to the study. Of these, a total of 405 patients accepted to participate (patient participation rate = 59.7%). Of all the questionnaires collected in the pharmacies, 17 were excluded from the analysis due to non-compliance with the inclusion criteria or due to inconsistent filling. The final sample consisted of 388 questionnaires collected by 143 pharmacies (Figure 1).

Figure 1

Study participation flowchart.

Pharmacies collecting questionnaires included in the analysis were representative of the geographic distribution of the Portuguese community pharmacies’ population (p> 0.05). When comparing the characteristics of the study participants with those who did not agree to participate, no statistically significant differences were found regarding sex and age (p> 0.05). The main reason for refusal (69.5%) was lack of time to participate.

Participants’ Characteristics

The characteristics of the study sample are shown in Table 1. The mean (SD) age was 51.8 years (17.8) and 28.3% of the patients were over 65 years of age. Overall, 50.8% were male and 48.1% were not employed. Half the patients did not complete the mandatory education (12th grade in Portugal), and, of these, 18 patients reported they had never completed any education level (4.9% of total). Participants included 50.3% who had never smoked, and 60.7% who were overweight (BMI over 25 kg/m2).

Table 1

Demographic and Characteristics of Patients Purchasing a SABA Inhaler

Characteristic	Mean (SD) or n (%)
Total	388 (100)
Age (years)	51.8 (17.8)
Age group (years)
18 – 25	23 (6,1)
26 – 35	38 (10,1)
36 – 45	88 (23,3)
46 – 55	62 (16,4)
56 – 65	60 (15,9)
66 – 75	60 (15,9)
Over 75	47 (12,4)
Missing	10
Sex
Female	190 (49.2)
Male	196 (50.8)
Missing	2
BMI (kg/m2)
Underweight (<18.5)	13 (0.8)
Normal (18.5-24.9)	144 (38.5)
Overweight (25-29.9)	133 (35.6)
Obese class I (30-34.9)	69 (18.4)
Obese class II (35-39.9)	18 (4.8)
Obese class III (≥40)	7 (1.9)
Missing	14
Smoking history
Never	177 (50.3)
Ex-smoker	87 (24.7)
Current smoker	88 (25.0)
Missing	36
Education level (Portuguese education system)a
No education	18 (4.9)
1st cycle (Basic Ed.)	96 (26.0)
2nd cycle (Basic Ed.)	25 (6.8)
3rd cycle (Basic Ed.)	45 (12.2)
Secondary education	96 (26.0)
Higher education	89 (24.1)
Missing	19
Employment status
Employed	194 (51.9)
Unemployed	37 (9.9)
Retired	122 (32.6)
Other	21 (5.6)
Missing	14
Comorbidities
1 comorbidity	104 (42.8)
2 comorbidities	66 (27.2)
3 or more comorbidities	73 (30.0)
Missing	145
Medical specialty of asthma-related doctor appointmentsb
Family medicine	219 (56.4)
Pulmonology	148 (38.1)
Allergology	54 (13.9)
Internal medicine	20 (5.2)
Other	13 (3.4)
GINA stepc
Step 1	128 (33.0)
Step 2	49 (12.6)
Step 3 e 4	86 (22.2)
Step 5	41 (10.6)
Probable ACO/COPD	54 (13.9)
Probable exacerbation	16 (4.1)
Non classified	14 (3.6)

Notes: aEducation level – 1st cycle corresponds to Primary education (4 years); 2nd cycle corresponds to Primary education (2 years); 3rd cycle corresponds to Secondary general education (3 years); Secondary education corresponds to Secondary general education (3 years); Higher education corresponds to Tertiary education (full-time, between 3 and 7 years). bPatients could report more than one specialty with asthma-related doctor appointments. cAccording to the GINA’s 2019 update.

Abbreviations: ACO/COPD, Asthma-COPD overlap/Chronic obstructive pulmonary disease; BMI, body mass index; SD, standard deviation.

Of the patients who reported having comorbidities, the majority indicated they had up to 2 comorbidities (70%). The most frequently mentioned comorbidities in patients with only 1 more chronic disease besides asthma were hypertension (32.7%), anxiety (24.0%) and depression (17.5%). In patients with 2 comorbidities, the most common comorbidities were hypertension and diabetes (22.7%).

Family medicine was the specialty most frequently mentioned by patients (56.4%) who had asthma-related physician appointments in the previous 12 months. Of these, 57.1% had asthma-related appointments with a family doctor and 42.9% also had appointments with other specialists. Moreover, 48.1% of the patients mentioned that their first reliever inhaler was prescribed by a family doctor.

SABA Inhaler Overuse and Asthma Control

Patients self-reported the prescribed SABA posology. The mean (SD) number of actuations per use was 2 (1), and the mean (SD) of the maximum number of SABA uses in a day was 3 (2).

The mean (SD) number of canisters purchased in the previous 3 months was 3 (3), and approximately 65.0% of the patients purchased 2 or more canisters of SABA during that period (Table 2). Regarding the number of days with inhaler use in the previous 4 weeks, the mean (SD) was 14.0 days (10.6), and around half of the patients used the inhaler more than 8 days (50.2%). The mean (SD) daily SABA use was 2.1 (1.8) and 22.5% of the patients used the inhaler 3 or more times per day. In a 24-hour period, the mean (SD) maximum number of SABA uses was 4.0 (2.9) but 25.4% of the patients exceeded 4 uses of the inhaler in a 24-hour period.

Table 2

SABA Overuse

Characteristic	n (%)
Total	388 (100)
Number of canisters purchased in the previous 3 months
1 package	120 (35.0)
≥ 2 packages	223 (65.0)
Missing	45
Number of days with SABA use in the previous 4 weeks
≤ 8 days	150 (49.8)
> 8 days	151 (50.2)
Missing	87
Average number of SABA uses per day in the previous 4 weeks
≤ 2 uses	252 (77.5)
> 2 uses	73 (22.5)
Missing	63
Maximum number of SABA uses in a 24-hour period
≤ 4 uses	223 (74.6)
> 4 uses	76 (25.4)
Missing	89
History of exacerbations requiring an ED visit in the previous 12 months
No	207 (60.3)
Yes	136 (39.7)
Missing	45
History of exacerbations requiring treatment with OCS for at least 3 days in the previous 12 months
No	207 (64.1)
Yes	116 (35.9)
Missing	65
History of exacerbations requiring hospital admission for at least one night in the previous 12 months
No	304 (87.6)
Yes	43 (12.4)
Missing	41

Note: P-values calculated excluding the 14 patients not classified by the algorithm.

Abbreviations: CARAT®, Control of Allergic Rhinitis and Asthma Test; ED, emergency department; OCS, oral corticosteroid; SABA Short-acting β2-agonists.

Considering overuse as purchasing 2 or more SABA canisters in the previous 3 months, we found that over users were older, patients with smoking history, retired or unemployed, with lower education and patients who reported the remaining SABA utilization metrics related to overuse (statistically significant differences, p<0.05). A higher proportion of patients with history of exacerbation requiring hospital admission and uncontrolled asthma were found among over users.

According to the CARAT® total score, 78.7% of the participants had uncontrolled disease. The results of the CARAT® Asthma sub score revealed that 79.1% of the patients had uncontrolled asthma (Figure 2).

Figure 2

Disease (A) and asthma symptom control (B), assessed by CARAT®.

Subgroup Analysis by Asthma Therapeutic Regimen (GINA)

Based on the therapy regimen, the majority of patients are classified as step 1 (33.0%), followed by step 3 and 4 (22.2%) and step 2 (12.6%). Of the patients, 13.9% were classified as probable ACO/COPD (Table 3). To limit the extension of the table, we decided to present in Table 3 only the variables where we found statistically significant differences between GINA steps. The complete subgroup analysis can be found in .

Table 3

Subgroup Analysis According to GINA Therapeutic Steps (Statistically Significant Differences)

	GINA therapeutic step, mean (SD) or n (%)						p-value
	Step 1	Step 2	Step 3 & 4	Step 5	Probable ACO/COPD	Probable exacerbation
Subjects	128 (33.0)	49 (12.6)	86 (22.2)	41 (10.6)	54 (13.9)	16 (4.1)
Age (years)	48 (16.2)	47.8 (17.8)	53.3 (20.4)	55.7 (17.7)	59.6 (14.1)	47.7 (16.2)	000
Sex
Female	78 (60.9)	27 (55.1)	38 (44.7)	8 (19.5)	36 (67.9)	5 (31.2)	000
Male	50 (39.1)	22 (44.9)	47 (55.3)	33 (80.5)	17 (32.1)	11 (68.8)
Missing	0	0	1	0	1	0
Education level (Portuguese education system)a
No education	5 (4.1)	1 (2.0)	5 (6.1)	1 (2.6)	4 (8.5)	1 (6.3)	007
1st cycle (Basic Ed.)	16 (13.1)	11 (22.4)	22 (26.8)	13 (33.3)	24 (51.1)	3 (18.8)
2nd cycle (Basic Ed.)	11 (9.0)	2 (4.1)	4 (4.9)	4 (10.3)	2 (4.3)	1 (6.2)
3rd cycle (Basic Ed.)	18 (14.8)	5 (10.2)	10 (12.2)	4 (10.3)	3 (6.4)	3 (18.8)
Secondary education	41 (33.6)	10 (20.4)	22 (26.8)	7 (17.9)	9 (19.1)	6 (37.5)
Higher education	31 (25.4)	20 (40.8)	19 (23.2)	10 (25.6)	5 (10.6)	2 (12.5)
Missing	6	0	4	2	7	0
Employment status
Employed	79 (64.8)	27 (56.3)	37 (45.1)	20 (48.8)	19 (36.5)	9 (60.0)	004
Unemployed	12 (9.8)	6 (12.5)	7 (8.5)	5 (12.2)	4 (7.7)	1 (6.7)
Retired	24 (19.7)	12 (25.0)	32 (39.0)	15 (36.6)	28 (53.8)	2 (13.3)
Other	7 (5.7)	3 (6.3)	6 (7.3)	1 (2.4)	1 (1.9)	3 (20.0)
Missing	6	1	4	0	2	1
Maximum number of SABA uses in a 24-hour period
≤ 4 uses	82 (81.2)	32 (69.6)	56 (81.2)	21 (63.6)	32 (78.0)	5 (41.7)	027
> 4 uses	19 (18.8)	14 (30.4)	13 (18.8)	12 (36.4)	9 (22.0)	7 (58.3)
Missing	27	3	17	8	13	4
CARAT® score
Uncontrolled disease	81 (65.3)	35 (71.4)	62 (73.8)	36 (87.8)	44 (81.5)	14 (87.5)	024
Controlled diseased	43 (34.7)	14 (28.6)	22 (26.2)	5 (12.2)	10 (18.5)	2 (12.5)
Missing	4	0	2	0	0	0
CARAT® Asthma sub-score
Uncontrolled Asthma	87 (70.2)	40 (81.6)	71 (84.5)	35 (85.4)	46 (85.2)	14 (87.5)	027
Controlled Asthma	37 (29.8)	9 (18.4)	13 (15.5)	6 (14.6)	8 (14.8)	2 (12.5)
Missing	4	0	2	0	0	0
Medical specialty of asthma-related doctor appointmentsa
Family medicine	65 (50.8)	32 (65.3)	52 (60.5)	22 (53.7)	29 (53.7)	11 (68.8)	533
Pulmonology	19 (14.8)	17 (34.7)	35 (40.7)	28 (68.3)	33 (61.1)	8 (50.0)	000
Allergology	11 (8.6)	10 (20.4)	13 (15.1)	11 (26.8)	5 (9.3)	3 (18.8)	054
Internal medicine	5 (3.9)	3 (6.1)	5 (5.8)	3 (7.3)	3 (5.6)	0 (0.0)	922
Other	7 (5.5)	1 (1.0)	4 (4.7)	0 (0.0)	1 (1.9)	0 (0.0)	504
History of exacerbations requiring an ED visit in the previous 12 months
No	80 (72.1)	29 (64.4)	48 (58.5)	16 (47.1)	23 (51.1)	5 (35.7)	020
Yes	31 (27.9)	16 (35.6)	34 (41.5)	18 (52.9)	22 (48.9)	9 (64.3)
Missing	17	4	4	7	9	2
History of exacerbations requiring treatment with OCS for at least 3 days in the previous 12 months
No	85 (81.7)	27 (65.9)	38 (50.0)	18 (50.0)	29 (69.0)	4 (33.3)	000
Yes	19 (18.3)	14 (34.1)	38 (50.0)	18 (50.0)	13 (31.0)	8 (66.7)
Missing	24	8	10	5	12	4

Notes: aEducation level – 1st cycle corresponds to Primary education (4 years); 2nd cycle corresponds to Primary education (2 years); 3rd cycle corresponds to Secondary general education (3 years); Secondary education corresponds to Secondary general education (3 years); Higher education corresponds to Tertiary education (full-time, between 3 and 7 years). P-values calculated excluding the 14 patients not classified by the algorithm. P-values in bold show statistically significant differences (p<0.05).

Abbreviations: ACO/COPD, Asthma-COPD overlap/Chronic obstructive pulmonary disease; BMI, body mass index; SD, standard deviation; CARAT®, Control of Allergic Rhinitis and Asthma Test; ED, emergency department; OCS, oral corticosteroid; SABA, Short-acting β2-agonists.

We found statistically significant differences between GINA groups for age (mean), sex, education level (Portuguese education system) and employment status. It seems that age increased from step 1 to step 5 of GINA classification. Patients belonging to the “Probable exacerbation” group have a mean age similar to those on steps 1 and 2. Patients with probable ACO/COPD register the highest mean age. Female sex was more frequent in step 1, 2 and Probable ACO/COPD patients. In the Probable ACO/COPD, we also found a higher proportion of patients with the lowest levels of education (59.6% with 1st cycle or even no education). On the other hand, step 2 has the highest proportion of highly educated participants (40.8%). Regarding employment status, there is a majority of employed patients in all subgroups, except in the probable ACO/COPD subgroup, where there is a predominant proportion of retired participants (53.8%).

Analyzing by asthma therapeutic regimen (GINA), we found statistically significative differences for the maximum number of SABA uses in a 24-hour period, and CARAT® scores (global and asthma sub score). Patients in steps 1 to 5 and probable ACO/COPD had higher percentage of up to 4 uses as the maximum SABA use in a 24-hour period, while the probable exacerbation group registered a higher proportion of patients using the SABA inhaler more than 4 times in the same period.

The subgroup analysis revealed that step 1 has the highest proportion of patients with controlled disease, considering both the total and the asthma sub score.

Statistically significant differences were found for Pulmonology asthma-related appointments. Patients on GINA’s Step 5 treatment and Probable ACO/COPD visited a Pulmonology specialist more often than the others.

Patients self-reported the occurrence of exacerbations in the previous 12 months: 35.9% led to a visit to the emergency department (ED), 39.7% required treatment with oral corticosteroids (OCS) for at least 3 days and 12.4% experienced resulted in hospitalization for at least 1 night.

The proportion of patients with no visits to the ED due to asthma in the previous 12 months decreased as the GINA treatment step increased. In step 1, 27.9% of the participants registered at least one visit to the ED (vs 72.1% who did not register any visit). As the GINA treatment step increases, these differences got narrower, until there was a higher proportion of patients with history of exacerbation requiring ED care in step 5. Almost half of the probable ACO/COPD group had at least one exacerbation requiring a visit to the ED, whereas the probable exacerbation subgroup has a considerably higher proportion of these patients.

In steps 1 and 2, similarly to the probable ACO/COPD group, there is a lower proportion of patients with history of at least one exacerbation requiring the prescription of an oral corticosteroid. This proportion significantly increases in step 3 and 4 and step 5, where exactly half of the patients self-reported the prescription of OCS in the sequence of an asthma exacerbation in the previous 12 months. The probable exacerbation group has a significantly higher proportion of patients who had at least one of these episodes.

Patients’ Features Associated with Disease Control

A logistic regression analysis was implemented on 279 patients. The remaining 105 patients were excluded from the analysis due to having at least one missing variable. All variables had less than 10% missing values, except for “number of canisters purchased in the previous 3 months” (Nonrespondents, NR=11.6%), “number of days with SABA use in the previous 4 weeks” (NR=22.4%), “number of SABA uses per day” (NR=16.2%), “Maximum number of SABA uses in a 24-hour period” (NR=19.3%), “CARAT® score” (NR=11.6%), “number of exacerbations requiring an ED visit” (NR=11.6%), “number of exacerbations requiring an ED with OCS prescription for at least 3 days” (NR=16.8%) and “number of exacerbations requiring a hospital admission for at least one night” (NR=10.6%). This subgroup did not differ from the 374 regarding the therapeutic regimen classification (p = 0.787). Two variables significantly influenced the overall disease control: Number of days with use of SABA inhaler in the previous 4 weeks and the Number of exacerbations requiring an ED visit and treatment with oral corticosteroids for at least 3 days. The unadjusted and adjusted ORs and corresponding 95% CI are summarized in Table 4.

Table 4

Odds Ratios for Overall Disease Control (Unadjusted and Adjusted) and Respective 95% Confidence Intervals

Variable	Unadjusted OR (95% CI)	Adjusted* OR (95% CI)
Number of days with SABA use in the previous 4 weeks
≤ 8 days	–	–
> 8 days	2.9 (1.5–5.6)	2.6 (1.3–5.2)
History of exacerbations requiring OCS prescription for at least 3 days, in the last 12 months
No	–	–
Yes	3.2 (1.5–6.6)	3.0 (1.3–6.6)

Notes: *Adjusted for sociodemographic variables, BMI, smoking history, therapeutic regimen, comorbidities, number of packages purchased in the last 3 months, average number of SABA uses per day, maximum number of SABA uses in a 24-hour period, medical specialty of asthma-related doctors’ appointments, history of exacerbation ED visit in the previous 12 months or requiring hospital admission for at least one night in the previous 12 months.

Abbreviations: OCS, oral corticosteroid; SABA, Short-acting β2-agonists.

For patients who use the SABA inhaler more than 8 days in a period of 4 weeks, the odds of uncontrolled overall disease are 2.6 times greater than the odds for patients who use the inhaler up to 8 days (adjusted OR 2.6, 95% CI 1.3–5.2).

For patients who, in a period of 12 months, had at least one exacerbation that required an emergency department visit with oral corticosteroids prescription for at least 3 days, the odds of uncontrolled overall disease are 2.9 times greater than the odds for patients who did not have any exacerbations (adjusted OR 3.0, 95% CI 1.3–6.6).

Discussion

This SABINA+ study demonstrated a frequent and excessive use of SABA as well as a high rate of uncontrolled asthma among community pharmacy customers using SABA in Portugal. Despite differences in study design, these findings are similar to those of other SABINA studies conducted in Europe14–16 and should be very concerning for health authorities, health professionals, and asthma patients. According to the literature, the use of SABA can be indicative not only of the level of asthma control,17 but also of the occurrence of exacerbations,14–16 of the use of healthcare resources,7,18 and even the physical and mental impairment of the patient.9

Comparison with National Reality

The Portuguese National Asthma Survey (INAsma)  studied the asthma prevalence in Portugal (INPA) and characterized the asthma population nationwide, in terms of sociodemographic and clinical characteristics such as sex, age, BMI, smoking status, disease control (INCA).2 The SABINA Portugal study has a higher proportion of patients in the higher BMI classes when compared to the INCA study: 60.7% vs 46.9% of overweight patients (BMI> 25 kg/m2) and 25.1% vs 18.4% of patients with obesity (BMI> 30 kg/m2). This may explain some of the differences found in the level of asthma control of this sample, which was substantially lower than that of the INCA study.

While in this sample approximately 50% of the individuals were smokers or ex-smokers, the INCA study reveals a lower smoking prevalence (23.2% of smokers or ex-smokers),19 which may also help explaining the values obtained for disease control.

The patients participating in this study reported a higher education level, around 50.1% had a secondary education level or higher compared to 34% in the INCA study. It is important to bear in mind that the national survey included individuals under the age of 18, which may explain these differences.

Regarding the use of health resources due to asthma exacerbations, 39.6% of the patients reported at least one visit to an emergency service (compared to 23% of the national population), and 12.4% were hospitalized at least for one night (vs 3% of national population).2

The main differences between our study and the INCA reported above may be a result of the selection criteria of the participants for the present study. Only those individuals who went to the pharmacy to purchase a SABA inhaler were invited to participate, which may have lowered the representativeness of patients with controlled asthma in this study, since those individuals are less likely to resort to a reliever inhaler.

Overuse

Several measures of SABA use were explored to identify and characterize the patterns of the drug use by the population.

Around half the participants (50.2%) reported using the reliever in more than 8 days over the previous 4 weeks. According to the Directorate-General of Health of Portugal (DGS) Standard No. 006/2018, requiring the reliever inhaler more than twice a week in the previous 4 weeks, is a factor used in the definition of poor asthma control. Additionally, the presence of daytime symptoms, night waking or any activity limitation due to asthma, requires a review of the diagnosis, the inhalation technique and the patient’s therapeutic plan.20 Therefore, the number of days with reliever use in the previous 4 weeks is a potential predictor for poor disease control. Moreover, 26.9% of the patients in the study reported using the inhaler daily, which means that some patients may be using the SABA inhaler as controller treatment. This is consistent with findings from the study of Gerald et al in which overuse was most attributable to frequent use on symptom-free days, ie, patients used the reliever inhaler as a daily controller treatment, which not only has not proven to be beneficial as may induce a paradoxical pharmacological reaction.9

About 22.5% of the patients reported using the inhaler three or more times a day. Since the most frequent prescription was 2 actuations per use, we can infer that this percentage of the sample used, on average, 6 or more SABA actuations per day. According to Patel et al, a patient using, on average, 6 SABA actuations per day has twice the odds of having a severe asthma exacerbation in the following 6 months, when compared to a patient with no reliever use in the previous two weeks.19

The results of the present study reveal that a quarter of the respondents (25.4%) have used the inhaler more than 4 times in a 24-hour period. According to the literature, the maximum number of uses in a single day, even in patients who do not frequently use the inhaler excessively, is a predictor of poor disease control in the future.8

Assuming as a reference the maximum daily dose of 8 doses and the DGS Standard 006/201820 of 2 days per week of inhaler use, ie, 192 doses in 3 months, we can infer that patients who have purchased more than one canister (200 doses) in the previous 3 months are overusing it.

Thus, at least 65.0% of the patients in the present study were overusing the SABA inhaler. It should also be noted that 21.9% purchased 3 canisters in the previous 3 months (equivalent to one pack per month) and 17.5% had purchased more than 3 canisters. A study conducted in the United States revealed that 15% of patients with asthma used more than 1 canister of SABA per month.21 Considering that the use of more than 1 canister (200 doses) of SABA per month is associated with the risk of exacerbations and death,6 health professionals should pay special attention to this indicator. In these cases, the Royal College of Physicians recommends making an urgent medical appointment to review the patient’s condition.22

Identifying the factors associated with the excessive use of SABA proves to be of major importance in assessing the future risk of asthma exacerbations.

Measures of Asthma Control

The CARAT®11 is recommended by the DGS to follow-up asthma patients and was used in this study to evaluate disease control. This type of patient-related outcome measure is very important for clinical practice.23

According to the results of this study, 78.7% of the patients had poor overall disease control and 79.1% had poorly controlled asthma. The findings regarding asthma control are particularly serious considering the clear association between this indicator and the risk of future exacerbations, not only from a clinical point of view but also due to its serious economic consequences.19 In a UK study, the cost per person with poorly controlled asthma was double, compared to well-controlled individuals (£6592 vs £3220).24 In the US, the 20-year projected economic burden associated with uncontrolled asthma is estimated to be $963.5 billion, which highlights the need to address this global concern.25

The Portuguese National Survey on Asthma Control, INCA (INAsma), published in 2015, revealed that 56.9% of the Portuguese asthma population was controlled.26 Although a direct comparison of the results from the SABINA Portugal and the INCA study is not possible because the populations under study are different, one indicator from the national survey, which states that most uncontrolled patients have a misperception about their disease control,26 makes the asthma control results obtained in our study even more alarming. Furthermore, the number of days with use of SABA inhaler in the previous 4 weeks and the number of exacerbations requiring an ED visit and treatment with oral corticosteroids for at least 3 days seem to be significantly associated with poor overall disease control.

Strengths and Limitations

This study uses real-world data to describe the patterns of SABA utilization among asthma patients treated with a SABA inhaler and to estimate said population’s level of asthma control. By collecting data through pharmacies, the study ensures both the representativeness of the Portuguese population and the quality of the data related to the therapeutic regimen (comparing to self-reported data). This provides a better picture of the medicines’ utilization patterns in the usual practice in the Portuguese context.

However, this study is not without limitations, and the results should be addressed carefully, taking into consideration the methods used for data collection and potential biases. The generalization of this study’s findings and the comparison with other studies should be done with caution, since the study sample may not be comparable with the population of similar studies.

There were no significant differences between the regional distribution of pharmacies participating in the study and the pharmacies at a national level, and between the characteristics of patients under study and the patients that refused to participate, which reduces the possibility of selection bias.

One of the most interesting aspects of the study is the collection of real-world data from patients with asthma who use SABAs. Even so, part of the data collected was self-reported and some questions required a 12 months’ recollection period, consequently there is a possibility for response and recall bias. The reliability of patient-reported history of asthma or age at diagnosis is high,27 as well as the validity of self-reported medication use.28 However, the long recall period might have affected the reporting of past events, particularly the mild ones, as well as recent history events of SABA utilization might have increased the long-term estimation.

Although to a small degree, the total sample may have included SABA users other than asthmatic patients. However, it is not possible to estimate the impact of this aspect on the overall results.

Despite the several attempts to minimize bias in the study design and analysis, there may still exist some residual confounding. The small sample size of some of the subgroups examined also limits the interpretation of the study results.

Conclusions

This study reveals an overuse of SABA among patients with self-reported diagnosis of asthma visiting Portuguese pharmacies to purchase a SABA inhaler. The study also indicates that, among these patients, asthma is largely uncontrolled. Using the SABA inhaler more than 8 days in the previous 4 weeks and having history of exacerbation treated with an oral corticosteroid was associated to poor asthma control.

Improving these indicators and, thereby, reducing the expected clinical and economic costs with asthma patients is of most importance. The results of this study can support the decision makers and the different health professionals in the development of strategies to improve asthma management in Portugal.