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High oral corticosteroid exposure and overuse of short-acting beta-2-agonists were associated with insufficient prescribing of controller medication: a nationwide electronic prescribing and dispensing database analysis



Recurrent use of oral corticosteroids (OCS) and over-use of short-acting beta-2-agonists (SABA) are factors associated with adverse side effects and asthma-related death. We aim to quantify high OCS exposure, SABA over-use and its association with prescription and adherence to maintenance treatment for respiratory disease, among patients with prescriptions for respiratory disease, from the Portuguese electronic prescription and dispensing database (BDNP).


This was a 1-year (2016) retrospective population-based analysis of a random sample of adult patients from the BDNP, the nationwide compulsory medication prescription system. We assessed high OCS exposure (dispensing ≥ 4 packages containing 20 doses of 20 mg each of prednisolone-equivalent, ≥ 1600 mg/year) on patients on persistent respiratory treatment (PRT-prescription for > 2 packages of any respiratory maintenance medications). Excessive use of SABA was defined as having a ratio of SABA-to-maintenance treatment > 1 or having SABA over-use (dispensing of > 1 × 200 dose canister/month, of 100 μg of salbutamol-equivalent). Factors associated with high OCS exposure were assessed by multinomial logistic regression.


The estimated number of patients on PRT was 4786/100,000 patients. OCS was prescribed to more than 1/5 of the patients on PRT and 101/100,000 were exposed to a high-dose (≥ 1600 mg/year). SABA excessive use was found in 144/100,000 patients and SABA over-use in 24/100,000. About 1/6 of SABA over-users were not prescribed any controller medication and 7% of them had a ratio maintenance-to-total ≥ 70% (high prescription of maintenance treatment). Primary adherence (median%) to controller medication was 66.7% for PRT patients, 59.6% for patients exposed to high OCS dose and 75.0% for SABA over-users. High OCS exposure or SABA over-use were not associated with primary adherence. High OCS exposure was associated with a maintenance-to-total medication ratio < 70% (insufficient prescription of maintenance treatment), age > 45 years old and male sex.


Exposure to high-dose of OCS (101 per 100,000 patients) and SABA over-use (24 per 100,000) were frequent, and were associated with a low maintenance-to-total prescription ratio but not with primary non-adherence. These results suggest there is a need for initiatives to reduce OCS and SABA inappropriate prescribing.


Chronic respiratory diseases, including obstructive lung diseases such as asthma and chronic obstructive pulmonary disease (COPD), are a source of significant morbidity and mortality worldwide [1]. The prevalence of asthma in adults in Portugal, in 2010, was 6.8% [2], costing 2.0% of the total Portuguese healthcare expense that year [3].

A report on asthma deaths in the United Kingdom highlights that most asthma deaths occur in mild and moderate cases of the disease, mainly because of inappropriate prescription and medical care [4]. According to Global Initiative for Asthma (GINA) guidelines, the factors that increase the risk of asthma-related death include (1) the over-use of inhaled short-acting beta2 agonists (SABA), defined as more than 1 canister of salbutamol or equivalent monthly; (2) the current use of oral corticosteroids (OCS); (3) the absence of inhaled corticosteroids (ICS) use and (4) the poor adherence with asthma maintenance medication [5]. Furthermore, exposure to OCS has been associated with pneumonia, osteoporosis, cataracts, and diabetes in a dose-responsive manner [6,7,8].

Large databases, including prescription data, has been used to assess the risk of asthma exacerbations [9, 10], describe patterns of frequent exacerbators [11] and inappropriate, high-risk prescriptions [12]. The use of pharmacy records, namely the number of SABA canisters filled over a 1-year period, has been validated as a proxy for future risk of (1) hospitalization or emergency department visit because of asthma and (2) OCS for exacerbations dispensing [13]. Observational studies based on medical records including prescription data are important to provide real-world evidence on heterogeneous diseases such as chronic respiratory diseases. However, to our knowledge, research based on Portuguese electronic prescription database is scarce [14, 15] and none on respiratory medication, namely OCS or SABA.


We aim to quantify patients in high-risk of having adverse clinical outcomes, among patients with at least 1 prescription for respiratory disease or exacerbations medications, retrieved from the Portuguese electronic medical prescription and dispensing database. Specifically, we aim to describe the association of the exposure to high-dose of OCS and the SABA over-use with prescription and primary adherence to maintenance treatment for respiratory disease.


Study design

This was a 1-year (2016) retrospective population-based analysis of a random sample of patients from the BDNP—Base de Dados Nacional de Prescrições database.


The BDNP is the central system, responsible for the validation of all steps of the prescriptions and dispensing cycle in Portugal, and for the recording of all the prescription and dispensing data. All the software for electronic medical prescription must be interoperable with BDNP. The use of electronic prescriptions is compulsory in mainland Portugal [16], and the system of electronic prescriptions is implemented since 2013. The electronic prescriptions system is used by physicians in the private and public healthcare units; each prescription may contain several medication packages and different classes of medication. The prescriptions must be filled at a community pharmacy by the patient. The implementation of the electronic medication dispensing system in each community pharmacy was concluded at the end of 2015.

The population of interest in this study consists of patients to whom medication for respiratory and/or allergic diseases and exacerbations was prescribed at least once, between January 2016 and December 2016. The number of the prescriptions meeting these criteria was higher than to 250 million prescriptions, corresponding to 4,639,308 patients (45% of the Portuguese population). We retrieved 2% (n = 103 647) of these patients, randomly selected from the BDNP database corresponding to 1,129,512 prescriptions (Fig. 1). We assessed all the prescriptions of those aged 15 years old or above living in mainland Portugal (n = 82,714 patients). The number of patients in the sample per 100,000 Portuguese patients was calculated by multiplying the number of patients by the factor (45%/82,714).

Fig. 1
figure 1

Flowchart of patients for analysis. SABA short-acting beta2 agonist, OCS oral corticosteroids

Data were provided in an encrypted form by the government entity responsible for the electronic prescription and dispensing system, SPMS-Serviços Partilhados do Ministério da Saúde (Shared Services of the Ministry of Health). The data of the patients and the prescribing physician had previously been anonymised by SPMS.


In this study we analysed the prescriptions (n = 248,045, corresponding to 61,835 patients) between January 2016 and December 2016 for medication for respiratory disease and/or exacerbations (see Additional file 1), from a sample of patients from the mainland Portugal, aged 15 years and above (Fig. 1).


Persistent respiratory treatment (PRT) was defined as prescription for more than 2 packages of any of the six classes of respiratory maintenance medications: inhaled corticosteroids (ICS) alone or in fixed-dose combination with long-acting beta2 agonists (LABA); leukotriene receptors antagonists (LTRA); long-acting muscarinic antagonist (LAMA) alone or in a fixed-dose combination with LABA or LABA alone.

We analysed SABA usage in the sample of patients with at least one prescription for medication for respiratory disease and exacerbations whereas OCs usage was assessed only among patients on PRT, to reduce the confounding of its use for other conditions (Fig. 1).

OCS users and SABA users were defined as patients that filled, respectively, at least 1 package of OCS or SABA at a community pharmacy.

OCS dosage was estimated for OCS users, considering that 1 dose of OCS contains 5 mg of prednisolone or equivalent. SABA dosage was estimated for SABA users, considering that 1 dose contains 100 μg of salbutamol or equivalent. The total annual amount of prednisolone-equivalent and salbutamol-equivalent was estimated.

Considering that 1 package of prednisolone contains 400 mg of prednisolone (20 doses of 20 mg each), OCS annual amount of prednisolone-equivalent was grouped in low-dose (> 0:400 mg), medium dose (> 400:< 1600 mg) and high dose (≥ 1600 mg); corresponding to up to 1; > 1 to 3 and 4 or more packages of prednisolone [7].

The 1-year combinations of classes of respiratory maintenance treatment prescribed were assessed for each patient on PRT.


OCS high-dose exposure: ≥ 4 packages (20 doses of 20 mg each) of prednisolone-equivalent, corresponding to ≥ 1600 mg of prednisolone-equivalent a year.

SABA over-use: > 1 canister (200 doses of 100 μg) of salbutamol-equivalent per month [5], corresponding to > 240,000 µg of salbutamol-equivalent a year.

Ratio SABA-to-maintenance: ratio of the packages of SABA filled over packages of maintenance treatment filled.

SABA excessive use was defined as having at least one: (1) SABA over-use or (2) ratio SABA-to-maintenance above 1:1.

Maintenance-to-total: percentage of the packages of maintenance treatment prescribed over the total (maintenance, relievers, and OCS) packages. This was dichotomized in < 70% and ≥ 70%. Insufficient prescription of maintenance treatment was considered for maintenance-to-total < 70% [17].

Primary adherence to controller medication: percentage of packages of maintenance medication filled over the packages prescribed. This was dichotomized in ≤ 50% and > 50% (medium adherence) and also in ≤ 70% and > 70% (high adherence), to explore its association with high OCS exposure and with SABA over-use.

Statistical methods

Descriptive statistics were used to characterize the population and the maintenance treatment prescribed.

The association of OCS high-dose exposure was explored using multinomial logistic regression for age, sex, maintenance-to-total, excessive SABA use and primary adherence to controller medication (Additional file 3: Table S3). The predictors included in the final model were: age (grouped into 15–44; 45–64 and > 64 years old), sex and maintenance-to-total (dichotomized in < 70% and ≥ 70%). All analyses were performed using RStudio (Version 1.1.456© 2009–2018 RStudio, Inc.). Adjusted odds ratios (OR) and 95% confidence intervals (CI) were reported for logistic regression results.



In 2016, 33,640.9 per 100,000 patients were prescribed with at least 1 medication for respiratory diseases or exacerbations (Fig. 1), 17,450.2 per 100,000 with at least 1 medication for respiratory diseases and 16,190.7 per 100,000 with prescriptions for antibiotics, OCS or H1-antihistamines only.

Persistent respiratory treatment (PRT), defined as prescriptions for more than 2 packages of respiratory maintenance medications, was found in 4786.5 per 100,000 patients (Fig. 1). Patients’ characteristics are summarized in Table 1. Characteristics of the patients from the total sample are presented in Additional file 2.

Table 1 Characteristics of patients on SABA over-use, on PRT with high OCS exposure, and on PRT

OCS usage

OCS was prescribed to 22.0% (95% CI 21.1–22.8) of the patients on PRT (1051.1 per 100,000) and dispensed to 18.6% (95% CI 17.8–19.5). Maintenance-to-total ratio of 70% or more was associated with a lower likelihood of having at least one dispensing of OCS (crude OR, 95% CI 0.2, 0.1–0.2) in patients on PRT.

Most of the OCS users were exposed to a low dose (> 0:400 mg) of prednisolone-equivalent (57.6%, 95% CI 55.2–60.6), still, 101.2 per 100,000 (11.3%, 95% CI 9.9–13.0) were exposed to a high-dose (≥ 1600 mg). Two-thirds of the patients exposed to high-dose of OCS had a ratio maintenance-to-total below 70% and 38.2% below 50% (Table 1 and Fig. 2).

Fig. 2
figure 2

Frequency (%) of SABA users and OCS users on persistent respiratory treatment, by primary adherence to controller medication and ratio maintenance-to-total

SABA usage

SABA was prescribed and dispensed to 1370.4 per 100,000 patients; 82.6% (95% CI 81.0–84.0) filled 2 or fewer canisters of salbutamol-equivalent, 15.7% (95% CI 14.3–17.1) filled 2 to 12 canisters and 1.7% (95% CI 1.3–2.3) were SABA over-users corresponding to 23.9 per 100,000 patients (Additional file 3). Excessive use of SABA (defined as SABA over-use or ratio SABA-to-maintenance above 1:1) was found in 10.5% of the SABA users, corresponding to 144.2 per 100,000 patients.

SABA over-users filled between 260,000 µg and 1,540,000 µg of salbutamol-equivalent, corresponding to a mean of 12 SABA inhalations per day per patient.

About 1/6 of the over-users were not prescribed any controller medication (Table 1). Among those with a prescription for maintenance treatment, 77% had maintenance-to-total below 70%, and 57% below 50% (Table 1 and Fig. 2).

Primary adherence

In patients to whom maintenance treatment was prescribed, primary adherence to controller medication (median%, Percentile 25–Percentile 75) for the SABA over-users was 75.0% (47.6–88.9); for all PRT patients was 66.7% (33.3–87.5) and for the patients on PRT exposed to high-dose of OCS was 59.6% (37.5–82.9) (Table 1 and Fig. 2). Primary adherence to controller medication > 50% was not associated with reduced risk high OCS exposure nor with SABA over-use (OR, 95% CI 0.9, 0.7–1.2 and 1.4, 0.7–2.9, respectively). Similar results were observed for primary adherence to controller medication > 70% (OR, 95%; 1.4, 0.7–2.7 and 0.9, 0.7–1.2, respectively for SABA over-use and high OCS exposure).

One-year maintenance treatment combinations

Among patients on PRT exposed to a high-dose (≥ 1600 mg) of OCS, the most frequent combinations of maintenance treatment were ICS + LABA or ICS + LABA + LAMA. The combinations ICS + LABA + LAMA; ICS + LTRA + LABA + LAMA or ICS + LTRA + LABA were found in 44% of these patients and monotherapy of either ICS or LTRA in 8% (Table 2).

Table 2 The 1-year combinations of classes of medication prescribed to the 8798 patients on PRT

Most of the patients on PRT (61%) were prescribed for combinations of ICS + LABA, ICS + LABA + LTRA or ICS + LABA + LAMA (Table 2). Prescription of LTRA + LABA or/and LAMA, not recommended in the guidelines [5, 18], was prescribed to 2% of the patients.

Factors associated with high OCS exposure

Results from the multinomial logistic regression, show that OCS high dose exposure was positively associated with maintenance-to-total < 70%, age above 45 years old and male sex (Fig. 3). The unadjusted independent associations of high OCS exposure are presented in Additional file 4.

Fig. 3
figure 3

Factors associated (adjusted OR [95% CI]) to high OCS exposure



This was the first analysis of prescriptions for SABA medication and OCS medication from the official Portuguese prescription database. Nevertheless, the present study has several limitations. An important limitation is related to the risk of overestimation of drug use since filling prescriptions does not mean actual medication intake. Another limitation is the lack of information regarding treatment indication. Moreover, OCS are prescribed for several conditions non-related to respiratory disease. In fact, some authors state OCS may not be a reliable marker of respiratory exacerbation [19]. To minimize this error, we analysed OCs usage only among patients on PRT (prescription for > 2 packages of any respiratory maintenance medications). Alternatively, we assessed OCS usage when ordered by prescribers with specialties related to respiratory disease and we obtained identical results (data not shown). In any case, SABA over-use and exposure to OCS are important risk-factors for serious adverse health outcomes, independently from the prescription indication.

The dataset has important limitations as it was not linked to non-prescription databases due to technical difficulties and privacy concerns, we could not assess the effect of important variables on the estimates, namely demographic variables [such as smoking habits, Body Mass Index (BMI), education, race].

We used the Portuguese prescription and dispensing database to quantify patients with respiratory diseases with high OCS exposure or SABA over-use, that are associated with high-risk of having adverse clinical outcomes (Fig. 4). OCS use was assessed in the patients on persistent respiratory treatment (PRT) and high OCS exposure (≥ 1600 mg of prednisolone-equivalent) was found in 11.3% of the OCS users. Among SABA users, 10.5% were excessive users and 1.7% were SABA over-users. Patients on PRT with high OCS exposure and SABA over-users have primary adherence to controller medication above 50%. However, most of them have an insufficient prescription of maintenance treatment. Exposure to high-dose of OCS was associated with a ratio maintenance-to-total under 70%, male age above 45 years old and sex.

Fig. 4
figure 4

Patients with respiratory diseases with high-risk of having adverse clinical outcomes. SABA short-acting beta2 agonist, OCS oral corticosteroids

Almost 19% of patients on PRT dispensed at least 1 package of OCS and 11% of the OCS users dispensed at least 4 packages. Fitzgerald et al. [20] reported that 13% of asthma patients used OCS. Cumulative exposure to systemic corticosteroid is associated with adverse effects and substantial excess morbidity from multiple diseases [8, 21] and having 4 or more prescriptions of OCS per year has been shown to increase the incidence of adverse events in asthma patients [7].

In the present study, having a maintenance-to-total ratio below 70% was associated with the use of high-dose OCS. In our analysis we include prescriptions for respiratory patients and not only for asthma patients, therefore we used the ratio maintenance-to-total instead of the previously established ratios [17, 22, 23]. Although similar in its construct, the association of the ratio assessed in the present study with adverse outcomes may be different. We also observed that having a ratio of maintenance-to-total of 70% or more was associated with a lower likelihood of being OCS user. Accordingly, Stanford et al. [17] reported that controller-to-total asthma medication ratio of 70% or more, was associated with a reduction in OCS-dispensing events in 12-month follow-up (OR 0.81; 95% CI 0.76–0.88). In this study, the authors concluded that for adult Medicaid patients the optimal cut-off value was 70% and for the commercially insured patients was 50%. In Portugal in 2015, 65% of the health expenditures were supported by the government [24], as so we applied the cut-off of 70% to the ratio of maintenance-to-total, recommended for the Medicaid population. Nevertheless, since a ratio of less than 50% is known to be related to poor asthma control events, including the need for OCS [22, 25], we also tested the cut-off of 50% and found the maintenance-to-total of < 50% was associated with a higher likelihood of high OCS exposure (adj OR, 95% CI 7.6, 5.5–10.8).

The over-prescription of SABA with insufficient controller medication prescription remains frequent. In a 1-year study on asthma patients from primary care healthcare records, 6.6% of the SABA over-users were not on ICS [26]. We observed a higher rate (16%) of SABA over-users that did not receive a prescription for any controller medication in the 12-months period, a possible reason may be the analysis of all patients with respiratory treatment prescription and from all types of healthcare service, not only asthma patients from primary care. Moreover, in those with a prescription for controller medication, 77% had a ratio maintenance-to-total below 70%, and 57% below 50%. Overprescribing of SABA and insufficient provision of ICS was stated as a preventable cause of death for asthma [4] and other adverse outcomes, such as asthma-related hospitalizations, emergency department visits, and intense care unit admissions [20]. In agreement with the evidence on the risk of the use of SABA without any controller medication, the recently published pocket guide for asthma management by GINA network, recommends that ICS should be used whenever SABA is used, and ICS combined with formoterol may be used in low dose as the preferred reliever [27].

Our results suggest that high OCS exposure was associated with older age and male sex. Yang et al. [26] reported similar results for age but not for sex, as older age and female sex increased the risk of requirement for ≥ 2 courses of OCS for asthma exacerbations (adj OR, 95% CI 1.06, 1.01–1.12, for age and 0.64 0.45–0.89, for male sex), in a model adjusted also for SABA over-use (2.35, 1.42–3.89) and COPD (2.01, 1.34–3.01). Age and sex play important roles in the progression of chronic respiratory diseases. Aging of the airways and parenchyma induces structural and immunological changes related to the increase of airflow limitations. Reasons for gender differences may be related to anatomical, hormonal or socio-environmental factors [28].

Primary adherence was not associated with high-dose of OCS nor with SABA over-use. Previous studies show inconsistent results regarding the association between adherence to controller medication and SABA or OCS use. A systematic review indicated non-adherence as a risk factor for severe exacerbations, defined mostly as requiring for OCS, emergency department visit or hospitalization for asthma [29]. Makhinova et al. [30] shown that adherent patients, were more prone to have more than 6 prescriptions for SABA (OR 1.967, 95% CI 1.8–2.1), than nonadherent patients. Murphy et al. [31] reported that primary adherence to ICS below 80% was not associated with OCS courses, but was associated with the need for mechanical ventilation. A recent study on patterns of patients who experienced near-fatal asthma exacerbations reported that adherence to controllers may be an important factor for some patients (with rapid worsening of symptoms, young to middle-aged patients, smokers, with low BMI, tendency to depression and hypersensitive to environmental triggers), but not for other [32].

Of note, most of patients exposed to high-dose of OCS in our data were on a triple or quadruple combination of controller medication (ICS/LTRA + LABA + LAMA) associated with step 4/5 of treatment for asthma [5]. According to the guidelines these severe patients are possible candidates for treatment with monoclonal antibodies as in some severe phenotypes asthma remains uncontrolled despite good adherence to step 4/5 of treatment controller medication [33].


OCS was prescribed to more than 1/5 of the patients on persistent respiratory treatment, and 101 per 100,000 patients were exposed to doses of OCS ≥ 1600 mg/year, associated with the risk of developing serious adverse outcomes. High OCS exposure was associated with a low maintenance-to-total prescription ratio, older age and male sex, but not associated with primary adherence to controller medication. Most SABA over-users had an insufficient prescription of maintenance treatment and about 1/6 were not prescribed for any maintenance medication, a known risk for asthma-related death. These results suggest a need for initiatives to reduce the number of high-risk patients with high OCS exposure and SABA over-use in Portugal.

Availability of data and materials

The data that support the findings of this study are available from Serviços Partilhados do Ministério da Saúde (Shared Services of the Ministry of Health) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and permission of Serviços Partilhados do Ministério da Saúde (Shared Services of the Ministry of Health).



Portuguese electronic prescription and dispensing database


chronic obstructive pulmonary disease


Global Initiative for Asthma


inhaled corticosteroids


long-acting beta2 agonists


long-acting muscarinic antagonist


leukotriene receptors antagonists


oral corticosteroids


persistent respiratory treatment


short-acting beta-2-agonists


short-acting muscarinic-antagonist


  1. GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med. 2017;5(9):691–706.

    Article  Google Scholar 

  2. Sa-Sousa A, Morais-Almeida M, Azevedo LF, Carvalho R, Jacinto T, Todo-Bom A, et al. Prevalence of asthma in Portugal—the Portuguese national asthma survey. Clin Transl Allergy. 2012;2(1):15.

    Article  Google Scholar 

  3. Barbosa JP, Ferreira-Magalhães M, Sá-Sousa A, Azevedo LF, Fonseca JA. Cost of asthma in Portuguese adults: a population-based, cost-of-illness study. Rev Port Pneumol. 2017;23(6):323–30. 

    CAS  PubMed  Google Scholar 

  4. Royal College of Physicians. Why asthma still kills the national review of asthma deaths (NRAD) confidential enquiry report. London; 2014.

  5. Global Initiative for Asthma. Global strategy for asthma management and prevention (updated 2018). 2018.

  6. Daugherty J, Lin X, Baxter R, Suruki R, Bradford E. The impact of long-term systemic glucocorticoid use in severe asthma: a UK retrospective cohort analysis. J Asthma. 2018;55(6):651–8.

    Article  CAS  Google Scholar 

  7. Sullivan PW, Ghushchyan VH, Globe G, Schatz M. Oral corticosteroid exposure and adverse effects in asthmatic patients. J Allergy Clin Immunol. 2018;141(1):110.e7–116.e7.

    Google Scholar 

  8. Price DB, Trudo F, Voorham J, Xu X, Kerkhof M, Jie JLZ, et al. Adverse outcomes from initiation of systemic corticosteroids for asthma: long-term observational study. J Asthma Allergy. 2018;11:193–204.

    Article  CAS  Google Scholar 

  9. Loymans RJB, Debray TPA, Honkoop PJ, Termeer EH, Snoeck-Stroband JB, Schermer TRJ, et al. Exacerbations in adults with asthma: a systematic review and external validation of prediction models. J allergy Clin Immunol Pract. 2018;6(6):1942.e15–1952.e15.

    Article  Google Scholar 

  10. Blakey JD, Price DB, Pizzichini E, Popov TA, Dimitrov BD, Postma DS, et al. Identifying risk of future asthma attacks using UK medical record data: a respiratory effectiveness group initiative. J allergy Clin Immunol Pract. 2017;5(4):1015.e8–1024.e8.

    Article  Google Scholar 

  11. Bloom CI, Palmer T, Feary J, Quint JK, Cullinan P. Exacerbation patterns in adults with asthma in England. A population-based study. Am J Respir Crit Care Med. 2019;199(4):446–53.

    Article  Google Scholar 

  12. Belhassen M, Nibber A, Van Ganse E, Ryan D, Langlois C, Appiagyei F, et al. Inappropriate asthma therapy-a tale of two countries: a parallel population-based cohort study. NPJ Prim care Respir Med. 2016;26:16076.

    Article  Google Scholar 

  13. Schatz M, Zeiger RS, Vollmer WM, Mosen D, Apter AJ, Stibolt TB, et al. Validation of a beta-agonist long-term asthma control scale derived from computerized pharmacy data. J Allergy Clin Immunol. 2006;117(5):995–1000.

    Article  CAS  Google Scholar 

  14. Sousa DC, Leal I, Nascimento N, Marques-Neves C, Tuulonen A, Abegao Pinto L. Use of ocular hypotensive medications in Portugal: PEM study: a cross-sectional nationwide analysis. J Glaucoma. 2017;26(6):571–6.

    Article  Google Scholar 

  15. Bigotte Vieira M, Neves JS, Baptista RB, Leitao L, Viegas Dias C, Vicente R, et al. Prescribing of non-steroidal anti-inflammatory drugs to patients with diabetes mellitus in Portugal. Acta Med Port. 2019;32(2):119–25.

    Article  Google Scholar 

  16. Gabinete da Secretária de Estado da Saúde. Portaria no. 210/2018. 2018.

  17. Stanford RH, Shah MB, D’Souza AO, Schatz M. Predicting asthma outcomes in commercially insured and medicaid populations? Am J Manag Care. 2013;19(1):60–7.

    PubMed  Google Scholar 

  18. GOLD. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease—2019 report. Global Initiative for Chronic Obstructive Lung Disease, Inc. 2019.

  19. Allen-Ramey FC, Nelsen LM, Leader JB, Mercer D, Kirchner HL, Jones JB. Electronic health record-based assessment of oral corticosteroid use in a population of primary care patients with asthma: an observational study. Allergy Asthma Clin Immunol. 2013;9(1):27.

    Article  Google Scholar 

  20. FitzGerald JM, Tavakoli H, Lynd LD, Al Efraij K, Sadatsafavi M. The impact of inappropriate use of short acting beta agonists in asthma. Respir Med. 2017;131:135–40.

    Article  Google Scholar 

  21. Sweeney J, Patterson CC, Menzies-Gow A, Niven RM, Mansur AH, Bucknall C, et al. Comorbidity in severe asthma requiring systemic corticosteroid therapy: cross-sectional data from the optimum patient care research database and the british thoracic difficult asthma registry. Thorax. 2016;71(4):339–46.

    Article  Google Scholar 

  22. Laforest L, Licaj I, Devouassoux G, Eriksson I, Caillet P, Chatte G, et al. Prescribed therapy for asthma: therapeutic ratios and outcomes. BMC Fam Pract. 2015;16:49.

    Article  Google Scholar 

  23. Sullivan PW, Ghushchyan V, Kavati A, Navaratnam P, Friedman HS, Ortiz B. Health disparities among children with asthma in the United States by place of residence. J Allergy Clin Immunol Pract. 2019;7(1):148–55.

    Article  Google Scholar 

  24. OECD. Health at a glance 2017: OECD indicators. Paris: OECD Publishing; 2017. p. 2017.

    Book  Google Scholar 

  25. Luskin AT, Antonova EN, Broder MS, Chang E, Raimundo K, Solari PG. Patient outcomes, health care resource use, and costs associated with high versus low HEDIS asthma medication ratio. J Manag Care Spec Pharm. 2017;23(11):1117–24.

    PubMed  Google Scholar 

  26. Yang JF, Chaudhuri R, Thomson NC, Ramparsad N, O’Pray H, Barclay S, et al. Insights into frequent asthma exacerbations from a primary care perspective and the implications of UK national review of asthma deaths recommendations. NPJ Prim Care Respir Med. 2018;28(1):35.

    Article  CAS  Google Scholar 

  27. Global Initiative for Asthma. Pocket guide for asthma management and prevention (updated 2019). 2019.

  28. Pignataro FS, Bonini M, Forgione A, Melandri S, Usmani OS. Asthma and gender: the female lung. Pharmacol Res. 2017;119:384–90.

    Article  CAS  Google Scholar 

  29. Engelkes M, Janssens HM, de Jongste JC, Sturkenboom MCJM, Verhamme KMC. Medication adherence and the risk of severe asthma exacerbations: a systematic review. Eur Respir J. 2015;45(2):396–407.

    Article  Google Scholar 

  30. Makhinova T, Barner JC, Richards KM, Rascati KL. Asthma controller medication adherence, risk of exacerbation, and use of rescue agents among Texas medicaid patients with persistent asthma. J Manag Care Spec Pharm. 2015;21(12):1124–32.

    PubMed  Google Scholar 

  31. Murphy KR, Meltzer EO, Blaiss MS, Nathan RA, Stoloff SW, Doherty DE. Asthma management and control in the United States: results of the 2009 asthma insight and management survey. In: Allergy and asthma proceedings. OceanSide Publications, Inc; 2012. p. 54–64.

  32. Tanaka H, Nakatani E, Fukutomi Y, Sekiya K, Kaneda H, Iikura M, et al. Identification of patterns of factors preceding severe or life-threatening asthma exacerbations in a nationwide study. Allergy. 2018;73(5):1110–8.

    Article  CAS  Google Scholar 

  33. Papi A, Ryan D, Soriano JB, Chrystyn H, Bjermer L, Rodriguez-Roisin R, et al. Relationship of inhaled corticosteroid adherence to asthma exacerbations in patients with moderate-to-severe asthma. J Allergy Clin Immunol Pract. 2018;6(6):1989.e3–1998.e3.

    Article  Google Scholar 

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The authors wish to thank the Portuguese Ministry of Health for providing access to the prescription and dispensing data managed by the Serviços Partilhados do Ministério da Saúde (Shared Services of the Ministry of Health).


Ana Sá-Sousa is financed by a PhD Grant (PD/BD/113665/2015), by the European Social Fund and national funds of MCTES (Ministério da Ciência, Tecnologia e Ensino Superior) through FCT (Fundação para a Ciência e Tecnologia, I.P) PhD Programme ref PD/0003/2013—Doctoral Programme in Clinical and Health Services Research. Rute Almeida is financed by ERDF (European Regional Development Fund) through the operation POCI-01-0145-FEDER-029130 (“mINSPIRERS—mHealth para medição e melhoria da adesão à medicação nas doenças respiratórias obstrutivas crónicasgeneralização e avaliação de tecnologias de gamificação, suporte por pares e processamento avançado de imagem”) funded by the Programa Operacional Competitividade e Internacionalização—COMPETE2020 and by National Funds through FCT.

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AS-S participated in study design, data analysis and manuscript writing; RA participated in study design, data analysis and critical revision of the manuscript; RV participated in data extraction and critical revision of the manuscript; NN participated in critical revision of the manuscript; HM and AF participated in study design and critical revision of the manuscript; JAF participated in study design, manuscript writing and critical revision of the manuscript. All authors read and approved the final manuscript.

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Correspondence to João Almeida Fonseca.

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Competing interests

JAF received personal fees outside the submitted work from AstraZeneca, GSK, Mundipharma, Novartis, Teva. All other authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1.

Frequency of prescribed packages of medication for respiratory diseases and exacerbations.

Additional file 2: Table S2.

Patients’ characteristics (n = 61,835).

Additional file 3: Table S3.

Frequency of patients by number of SABA canisters dispensed in one-year period.

Additional file 4: Table S4

. Association of sex, age, maintenance-to-total prescribed medication and primary adherence to high OCS exposure.

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Sá-Sousa, A., Almeida, R., Vicente, R. et al. High oral corticosteroid exposure and overuse of short-acting beta-2-agonists were associated with insufficient prescribing of controller medication: a nationwide electronic prescribing and dispensing database analysis. Clin Transl Allergy 9, 47 (2019).

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