- Research article
- Open Access
Participation in scheduled asthma follow-up contacts and adherence to treatment during 12-year follow-up in patients with adult-onset asthma
BMC Pulmonary Medicine volume 22, Article number: 63 (2022)
Poor treatment compliance is a common problem in the treatment of asthma. To our knowledge, no previous long-term follow-up studies exist on how scheduled asthma follow-up contacts occur in primary health care (PHC) versus secondary care and how these contacts relate to adherence to medication and in participation to further scheduled asthma contacts. The aim of this study was to evaluate occurrence of scheduled asthma contacts and treatment compliance in PHC versus secondary care, and to identify the factors associated with non-participation to scheduled contacts.
Patients with new adult-onset asthma (n = 203) were followed for 12 years in a real-life asthma cohort of the Seinäjoki Adult Asthma Study (SAAS). The first contacts were mainly carried out in secondary care and therefore the actual follow-up time including PHC visits was 10 years.
A majority (71%) of the patients had ≥ 2 scheduled asthma contacts during 10-year follow-up and most of them (79%) mainly in PHC. Patients with follow-up contacts mainly in PHC had better adherence to inhaled corticosteroid (ICS) medication during the whole 12-year period compared to patients in secondary care. In the study population, 29% of the patients had only 0–1 scheduled asthma contacts during the follow-up. Heavy alcohol consumption predicted poor participation in scheduled contacts.
Patients with mainly PHC scheduled asthma contacts were more adherent to ICS medication than patients in the secondary care. Based on our results it is necessary to pay more attention to actualization of asthma follow-up visits and systematic assessment of asthma patients including evaluation of alcohol consumption.
Trial registration Seinäjoki Adult Asthma Study is retrospectively registered at www.ClinicalTrials.gov with identifier number NCT02733016. Registered 11 April 2016.
Asthma is a chronic inflammatory airway disease with different phenotypes . A large proportion of asthma cases are diagnosed at adult age [2, 3]. Remission of adult-onset asthma is rare [4, 5] and poor asthma control is a common problem despite improvements in understanding, evidence-based guidelines and asthma medications [6, 7]. Uncontrolled asthma has been shown to reduce both asthma- and general health-related quality of life (HRQoL) [8, 9], increase health care costs, the risk of asthma exacerbations and mortality . Many factors may lead to poor asthma control including allergy, rhinitis, gastroesophageal reflux, smoking, obesity, problems in inhalation technique and poor adherence to asthma medication [1, 11,12,13,14]. One possible reason to adverse treatment outcome is non-participation to asthma follow-up visits and it seems to be a problem in many countries [15,16,17,18]. Issues affecting the adherence to treatment and occurrence to asthma follow-up visits may include both patient-related and health care system-related factors [19, 20].
To our knowledge, there are no previous long-term real-life follow-up studies on how scheduled asthma follow-up contacts occur in primary health care (PHC) versus secondary care and how these contacts relate to adherence to medication and in participation to further scheduled asthma contacts. Thus, the main aim of this study was to assess how scheduled asthma contacts occur, and possible differences in adherence to medication and participation to further follow-up depending on whether patients have follow-up contacts mainly in PHC versus secondary care. The second aim of this study was to identify the factors associated with non-participation to asthma follow-up visits.
Study design, inclusion and exclusion criteria
This real-life study was a part of Seinäjoki Adult Asthma Study [SAAS (www.ClinicalTrials.gov; NCT02733016)] which is a single-center 12-year follow-up study of 257 patients with new-onset adult asthma diagnosed between October 1999 and April 2002 in Seinäjoki Central Hospital respiratory department.  More than 94% of the patients diagnosed with novel asthma in the study site were recruited to the study and in 2001, the study population represented > 38% of novel diagnoses of asthma made to adults in the whole geographical area.  Smokers, patients with allergies or with concomitant COPD or other comorbidities were not excluded.  After asthma diagnosis was confirmed and medication initiated the patients were managed by their personal physicians mostly in PHC according to the Finnish National Asthma Programme  unless asthma severity or other respiratory diseases required monitoring in specialized care. As described previously[2, 4, 15, 21], after 12 years (mean 12.2, range 10.8–13.9) a total of 203 patients completed a follow-up visit where the participants gave written informed consent to the study protocol approved by the Ethics committee of Tampere University Hospital, Tampere, Finland (R12122). In addition to the data gathered at the diagnostic and follow-up visits, all data on asthma-related health care contacts during 12-year period was collected from PHC, occupational health care, private clinics and secondary care [2, 4, 15, 21]. The SAAS-study protocol has been published previously .
In the present study all asthma-related health care contacts after asthma diagnosis of the 203 patients were explored and the data on planned asthma contacts was evaluated. Because scheduled asthma contacts during the two first years were mainly done in respiratory department, we categorized patients based on the amount of scheduled asthma contacts after 2002: 0–1 contacts vs. ≥ 2 contacts. Five patients were excluded because of classification difficulties (Fig. 1). Further analysis was performed by categorizing patients with ≥ 2 contacts into two groups according to the main location of scheduled asthma follow-up contacts (visits mainly in PHC versus mainly in secondary care) (Fig. 1). Planned follow-up contacts both in health care centres and occupational health care were considered as PHC contacts .
Computation of adherence, evaluation of alcohol consumption and other clinical measurements
As described in our previous studies, adherence to inhaled corticosteroid (ICS) medication was evaluated by comparing the dispensed doses to the prescribed doses for the whole 12-year period. [23, 24] The prescribed dose in each patient was calculated based on medical records, and the dispensed ICS, short-acting β2-agonist (SABA) and oral corticosteroids were obtained from the Finnish Social Insurance Institution, which records all purchased medication from all Finnish pharmacies. [23, 24] The 12-year adherence and annual adherence for each patient was calculated by using specific formulas as previously described taking into account aspects from Medication possession ratio (MPR) and proportion of days covered (PDC).  Heavy alcohol consumption was evaluated by self-reports (according to the US definitions for alcohol consumption by portions/week), laboratory analyses [(gammaglutamyltransferase (GT) and gammaglutamyltransferase-carbohydrate-deficient transferrin-index (GT-CDT)] or by both [25, 26]. Detailed information on the assessment of asthma control and severity, lung function measurements and other clinical measurements are described separately in Additional file 1: Appendix E1.
Continuous data is expressed as mean (SD) for variables with normal distribution. If skewed distribution, median and 25–75 percentiles are shown. The Shapiro–Wilk-test was used to assess normality. Two group comparisons were performed by using Student’s t test for continuous variables with normal distribution, Mann–Whitney test for continuous variables with skewed distribution and Pearson Chi-square test or Fisher’s exact test for categorized variables. Two-sided p-values were used. To analyse differences in annual adherence over the 12-year period between patients having scheduled contacts mainly in PHC or secondary care, annual adherence was plotted against time for individual patients and mean area under curve (AUC) values were compared by using independent-samples Mann–Whitney U test. A P value < 0.05 was regarded as statistically significant. Multivariable binary logistic regression was performed to determine the association between alcohol consumption and poor participation in planned asthma follow-up, adjusting for age, sex, pack-years, BMI and form of residency. Statistical analyses were performed using SPSS software, versions 25–26 (IBM SPSS, Armonk, NY) and GraphPad Prism software, version 9.0. (GraphPad, La Jolla, CA, USA).
Characteristics of the study population
The included 198 patients were divided into two groups according to the number of scheduled follow-up contacts (0–1 vs. ≥ 2) during the 10-year follow-up period. After the year 2002, 141 (71.2%) patients had at least two scheduled contacts either mainly in PHC or in secondary care (respiratory department). However, 57 (28.8%) patients had only 0–1 scheduled contacts (Fig. 1).
To evaluate if differences exist in patient characteristics according to the number of scheduled contacts, we compared the patients with ≥ 2 [median 5 (interquartile range (IQR) 3–8)] scheduled contacts to those with 0–1 scheduled contacts (Table 1). At follow-up visit, mean age in both groups was 58 years. No differences were found in sex, smoking status, asthma control defined according to GINA 2010  or asthma therapy steps according to GINA 2019 . Patients with ≥ 2 scheduled follow-up contacts used more medication for asthma and were more often symptomatic as measured by ACT  and AQ20 scores.  The patients with ≥ 2 scheduled contacts needed more oral corticosteroid courses, collected more SABA-canisters, had a higher number of hospitalizations due to asthma and more health care visits. Patients with 0–1 scheduled asthma follow-up contacts were more often heavy users of alcohol and had higher levels of alcohol use biomarkers GT and GT-CDT (Table 1). No significant differences were found between the groups in lung function or inflammatory parameters (Additional file 1:Table E2).
To assess whether alcohol consumption associates with poor participation (0–1 visits) in scheduled asthma follow-up contacts after adjusting for age, sex pack years, BMI and form of residency we carried out multivariable binary logistic regression analysis (Table 2). After adjustments, heavy alcohol use remained a significant risk factor for poorer participation in follow-up. Male sex showed a trend for being a risk factor for poor participation to asthma follow-up visits (Table 2).
Comparison of patients with ≥ 2 scheduled asthma contacts mainly in PHC or in secondary care
To evaluate differences between scheduled asthma contacts carried out mainly in PHC or secondary care, the 141 patients having ≥ 2 scheduled asthma contacts were divided into groups according to the main site of asthma contacts: 111 (78.7%) patients had ≥ 2 scheduled follow-up contacts [median 4 (interquartile range (IQR) 3–7)] mainly in PHC and 30 (21.3%) patients had ≥ 2 scheduled contacts [median 4 (interquartile range (IQR) 2–5)] mainly in secondary care after year 2002 (Table 3). Scheduled contacts to private health care were rare in these groups (median 0 visits in both groups). Patients having follow-up contacts mainly in secondary care were younger, had lower FEV1 and FVC, higher FEV1 reversibility and steeper annual decline in lung function. No significant differences were found in sex, smoking status, asthma control, comorbidities, socioeconomics or health care use as shown in Table 3 and in Additional file 1: Table E3.
Changes in medication adherence over 12 years
Patients with ≥ 2 scheduled asthma follow-up contacts mainly in secondary care reported less often daily ICS in use and their total adherence to ICS medication was lower during the 12-year follow-up (Table 4). To explore the variation in long-term adherence, we determined annual adherence to ICS for each patient. The annual adherence was overall lower in patients with ≥ 2 scheduled asthma follow-up contacts mainly in secondary care vs. in PHC (p = 0.010) (Fig. 2). Furthermore, adherence was more stable in the group with ≥ 2 scheduled contacts mainly in PHC (annual means between 74 and 85%) and fluctuated more in the group with contacts mainly in secondary care (between 45 and 68%) (Fig. 2). In the secondary care-group the daily prescribed ICS dose (budesonide eq) was higher but no significant differences were found in average dispensed daily doses between the groups among 12-year follow-up (Table 4).
To explore reasons for the poorer adherence in patients with follow-up contacts mainly in secondary care (n = 30), we analyzed their scheduled follow-up contacts in more detail and found that 6 (20%) had continuous follow-up in respiratory department in secondary care during the whole follow-up period and 24 (80%) had most of their follow-up visits before the year 2007 (Fig. 1). In the latter group, only few had separate scheduled contacts in PHC, private health care or in secondary care during 2008–2013. These patients had the weakest total adherence to ICS medication (Table 5). Patients with continuous follow-up in secondary care (n = 6) had better adherence to ICS medication, more symptoms according to ACT scores, had higher therapy step according to GINA 2019, needed more SABA and had more other respiratory-related health care visits. None of them were in the working life. No significant differences were found in alcohol consumption, co-morbidities or socioeconomics (Additional file 1: Table E4).
In this real-life long-term follow-up study we evaluated how scheduled asthma contacts occur, assessed differences in adherence to medication and treatment compliance in PHC versus secondary care, and identified the factors associated with non-participation to scheduled contacts. We showed that 71.2% of the patients had ≥ 2 (median 5) scheduled asthma follow-up contacts during 10-year follow-up. Patients with ≥ 2 scheduled contacts used more medication for asthma, had more severe asthma symptoms and exacerbations than patients with 0–1 scheduled contacts. Patients with 0–1 scheduled contacts (28.8%) were more often individuals with heavy alcohol consumption, which also predicted poorer participation in scheduled asthma follow-up contacts in adjusted analysis. Of those with ≥ 2 scheduled asthma contacts, 78.7% had their asthma follow-up mainly in PHC. Patients with follow-up contacts mainly in secondary care (21.3%) were younger, had poorer lung function, showed more FEV1 reversibility and had weaker long-term adherence to ICS medication, and most of them seemed to discontinue the regular asthma follow-up when they should have arranged follow-up contacts in PHC.
According to guidelines asthma patients should have regular reviews by health care providers [1, 22, 31]. Non-adherence to regular asthma follow-up has been a common problem worldwide [15,16,17,18]. Our previous results from SAAS 12-year follow-up confirmed that only every third asthma patient attended a planned contact with health care professional in PHC each year . In this study the patients with ≥ 2 scheduled asthma contacts had median 5 (IQR 3–8) scheduled contacts during 10-year follow-up resulting in approximately one scheduled contact every second year. Our results suggest that these patients may have had more difficult-to-treat asthma since they used more medication for asthma but still had more symptoms, exacerbations, and other asthma-related health care contacts. This suggests also that some of them could have benefited from more asthma phenotype-adjusted treatment. Our results are in line with previous studies [9, 16, 32, 33], showing that frequent scheduled contacts were not associated with asthma control and that patients with more symptomatic asthma participated more regularly in follow-up and used more health care services. Patients with severe asthma symptoms should be systematically reviewed to find out if they have true severe asthma or difficult-to-treat asthma [7, 34]. Based on our results it could be hypothesized that with scheduled asthma follow-up contacts more severe asthma can be treated to the same level with milder and less-symptomatic asthma.
Younger age [10, 17] and clinical features of less severe asthma [14, 17] have been suggested as risk factors for not only non-adherence to medication but also for a tendency for such patients to be lost during follow-up . Also older age, low socio-economic status, obesity and ischemic heart disease are considered to be risk factors to non-participation in asthma follow-up.  In this study, out of 198 patients with new-onset adult asthma, 29% had only 0–1 scheduled asthma contacts during the 10-year follow-up period after the first follow-up visits in respiratory department. Alarmingly, 29 out of 203 patients did not have any scheduled contacts.  Asthma remission was rare (3%) in SAAS-study population  suggesting that it did not explain less frequent follow-up visits. It could be argued that these patients may have over-estimated their asthma control . We found that patients with 0–1 scheduled contacts were more often heavy alcohol drinkers and heavy alcohol consumption associated with poorer participation in scheduled asthma follow-up contacts in multivariable binary logistic regression analysis. Assessment of alcohol consumption is not included in current asthma guidelines [1, 31] though alcohol is known to have negative impact also on respiratory health , treatment adherence and self-care-behavior [38, 39].
One of the main objectives of the Finnish National Asthma Programme (1994–2004) was to strengthen the role of PHC in the prevention, diagnosis and long-term therapy of asthma.  Our results are in line with previous study  showing that after implementation of the National Asthma Programme most of the adult-asthma patients were managed in PHC. Patients (21%) with ≥ 2 scheduled asthma follow-up contacts mainly in secondary care had poorer lung function, showed more FEV1 reversibility and the prescribed ICS doses were higher than in patients having follow-up contacts in PHC. The annual decline in lung function was also steeper. These findings suggest that patients with mainly secondary care contacts had more difficult asthma needing respiratory specialist consultation [1, 31].
It has been suggested that the major predictors of good adherence include regular asthma reviews by health care professionals and positive beliefs about the medication.  Adherence to medication varies in many studies between 30 and 70%.  Previously, we have shown that the mean 12-year adherence to ICS medication in SAAS-cohort was 69%.  In this study the mean 12-year adherence was 76% if patient had ≥ 2 scheduled asthma contacts and 66% in patients having only 0–1 scheduled contacts. Patients with mainly PHC follow-up contacts had better adherence (82%) to ICS medication during the whole 12-year follow-up period than those with mainly secondary care contacts (52%). In SAAS-study population adherence to ICS decreased most rapidly during the first 4 years of follow-up.  In the current analysis, we showed that, surprisingly, the decrease in adherence was most prominent in those being followed in secondary care. It could be suggested that PHC is more able to promote compliance in asthma treatment than secondary care. It was found that most of the patients (80%) having scheduled contacts mainly in secondary care seemed to discontinue the regular asthma follow-up when asthma was brought to control and monitoring was transferred to PHC where patients should have arranged follow-up contacts by themselves. These patients had low total adherence to ICS medication (37%). These results suggest that a proportion of patients followed in secondary care may have suffered from a more general difficulty to adhere to therapy and follow-up and may have some challenges in life management that we were not able to identify. Not only physical but also various mental health factors can interact and affect asthma outcomes.  Thus, it could be suggested that some of the psychological or behavioral characteristics or comorbidities of the patients monitored mainly in secondary care may both be the original reason for choosing secondary care follow-up but also the reason for non-compliance with treatment and follow-up.
Our study has several strengths. The diagnosis of asthma was made by respiratory physician and the diagnosis was based on typical symptoms and objective lung function measurements showing reversibility of airway obstruction.  Smokers and patients with concomitant COPD or other comorbidities were not excluded . Prevalence of rhinitis and smoking among the present population was shown to be quite similar to that in a previous population-based study (FinEsS) from the same geographical area [42, 43] while the incidence of COPD was lower in the FinEsS study (9.7%) when compared to our study (16.7%).  This may be explained by the exclusion of patients over 70 years of age and patients´ underreporting of COPD in the previous study based on self-reports.  In the present study, COPD was defined by objective criteria (≥ 10 pack years and post-BD FEV1/FVC < 0.7). The prevalence rates of high-risk alcohol consumption in the present study population (19.6%) were also well in line with the statistics in the general population. [44, 45] Therefore, this study population well represents a typical population with asthma [21, 42]. Adherence to ICS treatment was evaluated objectively by comparing the patient´s dispensed doses to the prescribed doses for the whole 12-year period.  Possible limitations considering adherence calculation has been described in our previous study.  Weakness of our study is that results may not represent entire Finland.  In this study we were not able to assess more precisely the content of the follow-up contacts and how systematically patients were evaluated or advised and how these factors affected asthma control, adherence to ICS medication and participation to further follow-up contacts. Possible weakness is that alcohol markers were counted only in the follow-up visit, thus we were not able to assess whether alcohol consumption changed over time. It could be assumed that tendency to use alcohol is somewhat constant habit.  The number of patients in the scheduled asthma follow-up contacts mainly in secondary care was low which has led to low statistical power in analyses, thus clinical studies with larger study cohorts are needed.
Based on our results it is essential to pay more attention to participation in asthma follow-up since almost one third of all asthma patients seem to be lost-to-follow-up and regular follow-up contacts are not actualized. Particularly when asthma patients are referred to PHC from secondary care further emphasis should be placed on possible recall-systems and guidance of the patient to take care of scheduling further asthma follow-up contacts. Patients with asthma should be systematically reviewed. Alcohol consumption should be assessed in asthma patients as part of routine clinical practice and this recommendation should also be included in asthma guidelines. Further studies are needed to evaluate how other essential factors affecting asthma control are taken into account in scheduled contacts.
In this 12-year real-life follow-up study we showed that patients with mainly PHC scheduled asthma contacts were more adherent to ICS medication than patients in the secondary care. Patients with ≥ 2 scheduled follow-up contacts used more medication but still had more asthma symptoms, exacerbations and health care use. Almost one third of all patients were having only 0–1 scheduled asthma contact during the long-term follow-up-period. Heavy alcohol consumption was associated with poorer participation in scheduled contacts. Thus, in the future it is necessary to pay more attention to actualization of asthma follow-up visits as well as to systematic assessment of asthma patients also including evaluation of possible alcohol consumption.
Availability of data and materials
All data generated or analyzed during this study are included in this published article (and its Additional file 1). According to ethical permission and patient data-protection laws of Finland, single patient data cannot be made available. The corresponding author will answer more detailed inquiries.
Primary health care
Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, Updated 2020, (2020). https://ginasthma.org/archived-reports. Accessed 31 Dec 2021.
Kankaanranta H, Tuomisto LE, Ilmarinen P. Age-specific incidence of new asthma diagnoses in Finland. J Allergy Clin Immunol Pract. 2017;5:189–91. https://doi.org/10.1016/j.jaip.2016.08.015.
Sood A, Qualls C, Schuyler M, Arynchyn A, Alvarado JH, Smith LJ, et al. Adult-onset asthma becomes the dominant phenotype among women by age 40 years: the longitudinal CARDIA study. Ann Am Thorac Soc. 2013;10:188–97. https://doi.org/10.1513/AnnalsATS.201212-115OC.
Tuomisto LE, Ilmarinen P, Niemelä O, Haanpää J, Kankaanranta T, Kankaanranta H. A 12-year prognosis of adult-onset asthma: Seinäjoki Adult Asthma Study. Respir Med. 2016;117:223–9. https://doi.org/10.1016/j.rmed.2016.06.017.
Honkamäki J, Piirilä P, Hisinger-Mölkänen H, Tuomisto LE, Andersén H, Huhtala H, et al. Asthma remission by age at diagnosis and gender in a population-based study. J Allergy Clin Immunol Pract. 2021;9:1950–9. https://doi.org/10.1016/j.jaip.2020.12.015.
Chipps BE, Haselkorn T, Paknis B, Ortiz B, Bleecker ER, Kianifard F, et al. More than a decade follow-up in patients with severe or difficult-to-treat asthma: The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) II. J Allergy Clin Immunol. 2018;141:1590–7. https://doi.org/10.1016/j.jaci.2017.07.014.
Larsson K, Kankaanranta H, Janson C, Lehtimäki L, Ställberg B, Løkke A, et al. Bringing asthma care into the twenty-first century. Npj Prim Care Respir Med. 2020;30:25. https://doi.org/10.1038/s41533-020-0182-2.
Ilmarinen P, Juboori H, Tuomisto LE, Niemelä O, Sintonen H, Kankaanranta H. Effect of asthma control on general health-related quality of life in patients diagnosed with adult-onset asthma. Sci Rep. 2019;9:16107. https://doi.org/10.1038/s41598-019-52361-9.
Chipps BE, Zeiger RS, Borish L, Wenzel SE, Yegin A, Lou Hayden M, et al. Key findings and clinical implications from the Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) study. J Allergy Clin Immunol. 2012;130:332–42. https://doi.org/10.1016/j.jaci.2012.04.014.
Mäkelä MJ, Backer V, Hedegaard M, Larsson K. Adherence to inhaled therapies, health outcomes and costs in patients with asthma and COPD. Respir Med. 2013;107:1481–90. https://doi.org/10.1016/j.rmed.2013.04.005.
Tommola M, Ilmarinen P, Tuomisto LE, Haanpää J, Kankaanranta T, Niemelä O, Kankaanranta H. The effect of smoking on lung function: a clinical study of adult-onset asthma. Eur Respir J. 2016;48:1298–306. https://doi.org/10.1183/13993003.00850-2016.
Ilmarinen P, Tuomisto LE, Niemelä O, Danielsson J, Haanpää J, Kankaanranta T, et al. Comorbidities and elevated IL-6 associate with negative outcome in adult-onset asthma. Eur Respir J. 2016;48:1052–62. https://doi.org/10.1183/13993003.02198-2015.
Kankaanranta H, Kauppi P, Tuomisto LE, Ilmarinen P. Emerging comorbidities in adult asthma: risks, clinical associations, and mechanisms. Mediators Inflamm. 2016. https://doi.org/10.1155/2016/3690628.
Kaplan A, Szefler SJ, Halpin DMG. Impact of comorbid conditions on asthmatic adults and children. Npj Prim Care Respir Med. 2020;30:36. https://doi.org/10.1038/s41533-020-00194-9.
Takala J, Ilmarinen P, Tuomisto LE, Vähätalo I, Niemelä O, Kankaanranta H. Planned primary health care asthma contacts during 12-year follow-up after Finnish National Asthma Programme: focus on spirometry. Npj Prim Care Respir Med. 2020;30:8. https://doi.org/10.1038/s41533-020-0166-2.
Larsson K, Ställberg B, Lisspers K, Telg G, Johansson G, Thuresson M, et al. Prevalence and management of severe asthma in primary care: an observational cohort study in Sweden (PACEHR). Respir Res. 2018;19:12. https://doi.org/10.1186/s12931-018-0719-x.
Kang MG, Kim JY, Jung JW, Song WJ, Cho SH, Min KU, et al. Lost to follow-up in asthmatics does not mean treatment failure: causes and clinical outcomes of non-adherence to outpatient treatment in adult asthma. Allergy Asthma Immunol Res. 2013;5:357–64. https://doi.org/10.4168/aair.2013.5.6.357.
Reddel HK, Sawyer SM, Everett PW, Flood PV, Peters MJ. Asthma control in Australia: a cross-sectional web-based survey in a nationally representative population. Med J Aust. 2015;202:492–7. https://doi.org/10.5694/mja14.01564.
Sabate E. Adherence to long-term therapies: evidence for action. Geneva: World Health Organization (2003). https://apps.who.int/iris/handle/10665/42682 Accessed 31 Dec 2021.
Aine T, Puolanne M, Vasankari T. The status of asthma and COPD care in Finland today as perceived by professionals. Finnish Med J. 2017;15–16:1015–20.
Kankaanranta H, Ilmarinen P, Kankaanranta T, Tuomisto LE. Seinäjoki adult asthma study (SAAS): a protocol for a 12-year real-life follow-up study of new-onset asthma diagnosed at adult age and treated in primary and specialised care. Npj Prim Care Respir Med. 2015;25:15042. https://doi.org/10.1038/npjpcrm.2015.42.
Haahtela T, Laitinen LA. Ashma programme in Finland 1994–2004: report of a working group. Clin Exp Allergy. 1996;26:1–24. https://doi.org/10.1111/j.1365-2222.1996.tb02572.x.
Vähätalo I, Ilmarinen P, Tuomisto LE, Tommola M, Niemelä O, Lehtimäki L, et al. 12-year adherence to inhaled corticosteroids in adult-onset asthma. ERJ Open Res. 2020. https://doi.org/10.1183/23120541.00324-2019.
Vähätalo I, Ilmarinen P, Tuomisto LE, Niemelä O, Kankaanranta H. Inhaled corticosteroids and asthma control in adult-onset asthma: 12-year follow-up study. Respir Med. 2018;137:70–6.
Hietala J, Koivisto H, Anttila P, Niemelä O. Comparison of the combined marker GGT-CDT and the conventional laboratory markers of alcohol abuse in heavy drinkers, moderate dinkers and abstainers. Alcohol Alcohol. 2006;41(5):528–33. https://doi.org/10.1093/alcalc/agl050.
Drinking Levels Defined. National Institute on Alcohol Abuse and Alcoholism (NIAAA). https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking. Accessed 3 Aug 2021.
Global Initiative for Asthma. Global strategy for asthma management and prevention. Bethesda National Heart, Lung and Blood Institute of Health, 1995. Updated 2010. https://ginasthma.org/archived-reports/. Accessed 31 Dec 2021.
Global Initiative for Asthma. Global strategy for asthma management and prevention (2019). https://ginasthma.org/archived-reports/. Accessed 31 Dec 2021.
Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, Murray JJ, Pendergraft TB. Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol. 2004;113:59–65. https://doi.org/10.1016/j.jaci.2003.09.008.
Barley EA, Quirk FH, Jones PW. Asthma health status measurement in clinical practice: validity of a new short and simple instrument. Respir Med. 1998;92:1207–14.
Haahtela T, Lehtimäki L, Ahonen E, Harju T, Jartti T, Kankaanranta H, et al. Update on current care guidelines: asthma. Duodecim. 2013;129:994–5.
Axelsson M, Ekerljung L, Lundbäck B. The significance of asthma follow-up consultations for adherence to asthma medication, asthma medication beliefs, and asthma control. Nurs Res Pract. 2015. https://doi.org/10.1155/2015/139070.
Lisspers K, Ställberg B, Hasselgren M, Johansson G, Svärdsudd K. Primary health care centres with asthma clinics: effects on patients’ knowledge and asthma control. Prim Care Respir J. 2010;19:37–44. https://doi.org/10.4104/pcrj.2009.00043.
Porsbjerg C, Ulrik C, Skjold T, Backer V, Laerum B, Lehman S, et al. Nordic consensus statement on the systematic assessment and management of possible severe asthma in adults. Eur Clin Respir J. 2018;5:1440868. https://doi.org/10.1080/20018525.2018.1440868.
Backman H, Hedman L, Stridsman C, Jansson SA, Lindberg A, Lundbäck B, et al. A population-based cohort of adults with asthma: mortality and participation in a long-term follow-up. Eur Clin Respir J. 2017;4:1334508. https://doi.org/10.1080/20018525.2017.1334508.
Kritikos V, Price D, Papi A, Infantino A, Ställberg B, Ryan D, et al. A multinational observational study identifying primary care patients at risk of overestimation of asthma control. Npj Prim Care Respir Med. 2019;29:43. https://doi.org/10.1038/s41533-019-0156-4.
Quintero D, Guidot DM. Focus on the lung. Alcohol Res Health. 2010;33:219–28.
Engler PA, Ramsey SE, Smith RJ. Alcohol use of diabetes patients: the need for assessment and intervention. Acta Diabetol. 2013;50:93–9. https://doi.org/10.1007/s00592-010-0200-x.
Rittmueller SE, Frey MS, Williams EC, Sun H, Bryson CL, Bradley KA. Association between alcohol use and cardiovascular self-care behaviors among male hypertensive veterans affairs outpatients: a cross-sectional study. Subst Abus. 2015;36:6–12. https://doi.org/10.1080/08897077.2014.932318.
Tuomisto LE, Erhola M, Luukkaala T, Puolijoki H, Nieminen MM, Kaila M. Asthma programme in Finland: did the use of secondary care resources become more rational? Respir Med. 2010;104:957–65.
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;45:396–407. https://doi.org/10.1183/09031936.00075614.
Honkamäki J, Hisinger-Mölkänen H, Ilmarinen P, Piirilä P, Tuomisto LE, Andersén H, et al. Age- and genderspecific incidence of new asthma diagnosis from childhood to late adulthood. Resp Med. 2019;154:56–62. https://doi.org/10.1016/j.rmed.2019.06.003.
Pakkasela J, Ilmarinen P, Honkamäki J, Tuomisto LE, Andersén H, Piirilä P, et al. Age-specific incidence of allergic and non-allergic asthma. BMC Pulm Med. 2020;10(20):9. https://doi.org/10.1186/s12890-019-1040-2.
Connor JP, Haber PS, Hall WD. Alcohol use disorders. Lancet. 2016;387:988–98. https://doi.org/10.1016/S0140-6736(15)00122-1.
Kopra J, Mäkelä P, Tolonen H, Jousilahti P, Karvanen J. Follow-up data improved the estimation of the prevalence of heavy alcohol consumption. Alcohol Alcohol. 2018;53:586–96. https://doi.org/10.1093/alcalc/agy019.
Mrs Aino Sepponen, RN, is gratefully acknowledged for her help through all the stages of this work.
This study was supported by The Research Foundation of the Pulmonary Diseases (Helsinki, Finland), the Tampere Tuberculosis Foundation (Tampere, Finland), the Pihkahovi Foundation (Ylihärmä, Finland), the Foundation of the Finnish Anti-Tuberculosis Association (Helsinki, Finland), The Pirkanmaa Regional Fund of the Finnish Cultural Foundation (Helsinki, Finland), the Ida Montini Foundation (Kerava, Finland), Allergy Research Foundation (Helsinki, Finland), the Competitive State Research Financing of the Expert Responsibility Area of Tampere University Hospital (VTR, Tampere, Finland) and the Medical Research Fund of Seinäjoki Central Hospital (Seinäjoki, Finland). None of the sponsors had any involvement in the planning, execution, drafting or write-up of this study.
Ethics approval and consent to participate
Institutional permissions (TU1114 and LET) were obtained and all enrolled patients in SAAS-study cohort signed informed consent to the study protocol approved by the Ethics committee of Tampere University Hospital, Tampere, Finland (R12122). Permission for use and the data concerning dispensed medication for was granted by the Finnish Social Insurance Institution.
Consent for publication
None of the authors declares any competing interests concerning this article. Dr. Takala reports personal fees from Novartis, personal fees and non-financial support from NovoNordisk and non-financial support from GSK, outside the submitted work. Dr. Vähätalo reports personal fees from AstraZeneca, outside the submitted work. Dr. Tuomisto reports personal fees from AstraZeneca, Boehringer-Ingelheim, and GlaxoSmithKline, outside the submitted work. Dr. Niemelä has nothing to disclose. Dr. Ilmarinen is an employee of GlaxoSmithKline. Dr. Ilmarinen reports personal fees from GlaxoSmithKline, Novartis, AstraZeneca and Mundipharma, outside the submitted work. Dr. Kankaanranta reports personal fees and non-financial support from AstraZeneca, Boehringer-Ingelheim, and Orion Pharma, personal fees from Chiesi, Novartis, MSD, Mundipharma, SanofiGenzyme, and GlaxoSmithKline, outside the submitted work.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
. Participation in scheduled asthma follow-up contacts and adherence to treatment during 12-year follow-up in patients with adult-onset asthma. An additional data file containing more study statistics and methodology.
About this article
Cite this article
Takala, J., Vähätalo, I., Tuomisto, L.E. et al. Participation in scheduled asthma follow-up contacts and adherence to treatment during 12-year follow-up in patients with adult-onset asthma. BMC Pulm Med 22, 63 (2022). https://doi.org/10.1186/s12890-022-01850-1
- Scheduled follow-up
- Primary care
- Secondary care
- Inhaled corticosteroids