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Treatment adherence and health outcomes in patients with bronchiectasis

  • Amanda R McCullough1,
  • Michael M Tunney1,
  • Alexandra L Quittner2,
  • J Stuart Elborn3,
  • Judy M Bradley4 and
  • Carmel M Hughes1Email author
BMC Pulmonary Medicine201414:107

DOI: 10.1186/1471-2466-14-107

Received: 1 October 2013

Accepted: 26 June 2014

Published: 1 July 2014

Abstract

Background

We aimed to determine adherence to inhaled antibiotics, other respiratory medicines and airway clearance and to determine the association between adherence to these treatments and health outcomes (pulmonary exacerbations, lung function and Quality of Life Questionnaire-Bronchiectasis [QOL-B]) in bronchiectasis after 12 months.

Methods

Patients with bronchiectasis prescribed inhaled antibiotics for Pseudomonas aeruginosa infection were recruited into a one-year study. Participants were categorised as “adherent” to medication (medication possession ratio ≥80% using prescription data) or airway clearance (score ≥80% in the Modified Self-Reported Medication-Taking Scale). Pulmonary exacerbations were defined as treatment with a new course of oral or intravenous antibiotics over the one-year study. Spirometry and QOL-B were completed at baseline and 12 months. Associations between adherence to treatment and pulmonary exacerbations, lung function and QOL-B were determined by regression analyses.

Results

Seventy-five participants were recruited. Thirty-five (53%), 39 (53%) and 31 (41%) participants were adherent to inhaled antibiotics, other respiratory medicines, and airway clearance, respectively. Twelve (16%) participants were adherent to all treatments. Participants who were adherent to inhaled antibiotics had significantly fewer exacerbations compared to non-adherent participants (2.6 vs 4, p = 0.00) and adherence to inhaled antibiotics was independently associated with having fewer pulmonary exacerbations (regression co-efficient = -0.51, 95% CI [-0.81,-0.21], p < 0.001). Adherence to airway clearance was associated with lower QOL-B Treatment Burden (regression co-efficient = -15.46, 95% CI [-26.54, -4.37], p < 0.01) and Respiratory Symptoms domain scores (regression co-efficient = -10.77, 95% CI [-21.45; -0.09], p < 0.05). There were no associations between adherence to other respiratory medicines and any of the outcomes tested. Adherence to treatment was not associated with FEV1 % predicted.

Conclusions

Treatment adherence is low in bronchiectasis and affects important health outcomes including pulmonary exacerbations. Adherence should be measured as part of bronchiectasis management and future research should evaluate bronchiectasis-specific adherence strategies.

Keywords

Patient adherence Bronchiectasis Physical therapy Drug therapy Quality of Life Questionnaire-Bronchiectasis

Background

Non-cystic fibrosis (CF) bronchiectasis is an under-researched condition with no licensed treatment therapies [1]. Approximately 20% of the bronchiectasis population are infected with Pseudomonas aeruginosa[2], which is known to be associated with a more rapid decline in lung function [3] and poorer health-related quality of life (HRQoL) [4]. In line with published guidelines, inhaled antibiotics along with other inhaled and oral medications are commonly prescribed ‘off-label’ for these patients, with the aim of reducing pulmonary exacerbations, maintaining lung function and improving HRQoL [5]. Airway clearance is also routinely prescribed for these patients leading to a complex and burdensome treatment regimen.

Adherence to similar medications is consistently reported to be low in asthma, chronic obstructive pulmonary disease (COPD) and CF, with approximately 50% of patients reported to be non-adherent [68]. Adherence to airway clearance is even lower than for medications, with up to 70% of patients with CF non-adherent to this treatment [9]. In bronchiectasis, a study exploring patients’ perspectives on self-management reported that patients altered their adherence to treatments [10]. A single study measured adherence in 22 patients with bronchiectasis prescribed colistin delivered via I-neb® adaptive aerosol delivery (Praxis Pharmaceuticals) or Pari LC® Plus and reported high levels of adherence, with 73% of participants categorised as adherent [11]. However, this study had a small sample size, was retrospective, measured adherence to Pari LC® Plus via self-report and did not determine if adherence was associated with health outcomes.

Studies in asthma, COPD and CF demonstrate that low adherence to treatment can negatively impact on key health outcomes including pulmonary exacerbations [8, 12], HRQoL [6, 13] as well as healthcare costs [14, 15]. The first randomised controlled trial investigating the effectiveness of colistin (Promixin®) in bronchiectasis has shown that it is effective in delaying time to first pulmonary exacerbation and improving HRQoL when patients are adherent i.e. inhale between 81–92.1% of prescribed medication [16]. Thus, rates of adherence to treatment may affect important health outcomes such as pulmonary exacerbations, lung function and HRQoL in bronchiectasis. Rates of treatment adherence and the effect of treatment adherence on these health outcomes in bronchiectasis are not known. With large-scale studies of new and potentially expensive therapies that have been tailored for use in patients with bronchiectasis infected with P. aeruginosa underway [16, 17], it is important to determine treatment adherence in this population to ensure that adherence is maximised prior to the prescription of these new therapies.

Thus, the primary aim of this one-year study was to determine rates of treatment adherence (inhaled antibiotics, other respiratory medicines and airway clearance) in patients with bronchiectasis infected with P. aeruginosa over the year-long study. The secondary aim was to determine the association between adherence to treatment and health outcomes (pulmonary exacerbations, lung function and Quality of Life Questionnaire-Bronchiectasis [QOL-B]) in this population after 12 months. It was hypothesised that adherence would be low and patients who were adherent to inhaled antibiotics would have fewer pulmonary exacerbations.

Methods

Participants

Participants were recruited from the Regional Respiratory Centre at Belfast City Hospital and from seven secondary care hospitals across Northern Ireland (June 2010-August 2011). Adult patients with a confirmed diagnosis of bronchiectasis by high-resolution computed tomography, who commenced inhaled colistin or tobramycin by nebuliser ≥6 weeks prior to recruitment and had a positive sputum culture for P. aeruginosa prior to starting inhaled antibiotics, were recruited (Additional file 1 contains a copy of the patient information sheet). Participants had to be clinically stable (≥2 weeks post completion of treatment for a pulmonary exacerbation) prior to data collection. Ethical approval was obtained from the Office for Research Ethics Northern Ireland (10/NIR03/17). All participants provided written informed consent. As part of usual care in all centres, participants had received training from a specialist nurse and/or physiotherapist on how to use nebulisers and inhalers. All participants received education about how to complete airway clearance from a specialist physiotherapist. All participants were routinely followed-up by respiratory consultants and/or nursing/physiotherapy.

Study design

A one-year study was conducted (June 2010-August 2012). Data were collected at baseline followed by 3 or 6 monthly intervals.

A modified version of the Self-reported Medication-taking Scale [18] including an additional question [19] (e-Table 1, Additional file 1) was interviewer-administered in person (baseline, 6 and 12 months) or via telephone (3 and 9 months) for each treatment: inhaled antibiotics, other respiratory medicines (e.g. inhaled corticosteroids or oral azithromycin) and airway clearance. Each questionnaire contained five questions which were answered either ‘yes’ (scored as 0) or ‘no’ (scored as 1) (e-Table 1). The maximum score was of 5, with higher scores indicating higher adherence. Participants were categorised as adherent to each treatment by scoring ≥4 (≥80%) on this scale at all data collection points. There is no consensus in the literature about an appropriate cut-off for adherence as thresholds for treatment efficacy are not known. However, landmark bronchiectasis clinical trials consistently use 80% as their threshold for adherence [17, 20] and the 80% cut-off has been shown to offer the optimal balance between specificity and sensitivity for self-reported, prescription refill and electronic pillbox adherence measures [19].
Table 1

Baseline characteristics of study participants (n = 75)

Characteristic

Result

Age, yr

64 ± 8

Gender, M/F

24 (32)/51 (68)

Occupational status, n (%)

Employed/self-employed

18 (24)

 

Retired

57 (76)

Level of education, n (%)

Less than high school

14 (19)

 

High school

54 (72)

 

University

7 (9)

Marital status, n (%)

Married or with a partner

57 (76)

 

Not married or not with a partner

18 (24)

FEV1, L

1.34 ± 0.6

FEV1,% predicted

61 ± 25

Smoking status, n (%)

Never

53 (71%)

 

Current or ex

22 (29%)

Aetiology, n (%)

Post-infection

32 (43%)

 

Idiopathic

16 (21%)

 

Rheumatoid arthritis

8 (11%)

 

COPD

5 (7%)

 

Asthma

3 (4%)

 

Other

11 (15%)

Prescribed medicines

 

12 ± 5

Inhaled antibiotics, n (%)

Colistin

64 (85%)

 

Tobramycin

11 (15%)

Other respiratory medicines, n (%)

  

Oral medicines

Azithromycin

38 (51%)

 

Oral steroids

19 (25%)

 

Mucolytics

10 (13%)

 

Leukotriene receptor antagonists

8 (11%)

 

Theophylline

7 (9%)

 

Co-trimoxazole

1 (1%)

 

Salbutamol

1 (1%)

Inhaled medicines

Short-acting beta2 agonists

67 (89%)

 

Inhaled corticosteroids

65 (87%)

 

Antimuscarinics

31 (41%)

 

Long-acting beta2 agonists

2 (3%)

Nebulised medicines

Short-acting beta2 agonists

55 (73%)

 

Isotonic saline

25 (33%)

 

Ipratropium bromide with salbutamol

3 (4%)

 

Hypertonic saline

1 (1%)

 

Budesonide

1 (1%)

Airway clearance

Active cycle of breathing technique

39 (53%)

 

Acapella®

45 (61%)

QOL-B

Physical functioning

31 ± 26

 

Role functioning

45 ± 28

 

Vitality functioning

37 ± 20

 

Social functioning

42 ± 26

 

Emotional functioning

73 ± 21

 

Treatment burden

56 ± 20

 

Health perceptions

39 ± 19

 

Respiratory symptoms

53 ± 21

Results are presented as mean ± SD or n (%).

COPD: chronic obstructive pulmonary disease.

QOL-B: Quality of Life Questionnaire-Bronchiectasis; scores range 0–100, higher scores indicate better quality of life.

Data on prescribed medications including dosages were extracted from medical records and provided by patients on a 6 monthly basis and used to maintain an up-to-date list of prescribed medication. Participants provided us with contact details for all of the community pharmacies who dispensed their medications for bronchiectasis. In a minority of cases, participants obtained their inhaled antibiotics from a hospital pharmacy (n = 12). The researcher contacted participants’ community and hospital pharmacies on a 6 monthly basis to obtain a list of dispensed medications for the previous 6 months. All pharmacies contacted provided a full list of dispensed medication for the duration of the participant’s inclusion in the study i.e. from baseline until each participant completed the study at one year. We did not collect data on medication carryover pre-baseline or leftover at the end of the study period [8, 14].

Medication possession ratios (MPRs) were calculated for inhaled antibiotics and other respiratory medicines from the medication data described above, using the number of days’ supply divided by the number of days medication was prescribed in the study (from baseline until each participant completed the study at one year) and multiplied by 100 [8, 14, 21]. MPR was calculated over the year rather than 6 monthly to reduce the effect of any carryover/left-over as this is likely to average out over this time [22] and to reduce the effect that seasonal variation in symptoms might have on adherence and health outcomes. Participants were expected to be in the study for 365 days with most participants completing within one week of this end date; however, this varied slightly due to patients experiencing pulmonary exacerbations which delayed final data collection. We did not exclude days of hospital admission as participants used their own medications whilst in hospital (standard practice in the included hospitals). MPR was calculated with and without removing hospital admission days and this did not result in a change of adherence categorisation for any participant. Therefore, the MPR used in this analysis was calculated based on the assumption that participants used their own medications in hospital to reduce the risk of over-estimating adherence. New medications commenced in hospital were provided by the hospital during stays and issued from community pharmacies on discharge. To accurately calculate the total number of days in the study for a new medication which was commenced in hospital, the number of days between the start and end date of the medication was calculated and the number of days supplied by the hospital was subtracted from this.

When participants were prescribed oral or intravenous (IV) antibiotics, some healthcare professionals advised participants to stop their inhaled antibiotics and/or azithromycin during this time. Therefore, depending on local policy, when calculating MPR for inhaled antibiotics and azithromycin, the number of days of IV and/or oral antibiotic usage was deducted from the number of days medication was prescribed in the study.

For adherence to other respiratory medicines, MPR was calculated for each individual medication as described above and then averaged for each participant to give a composite MPR for ‘other respiratory medicines’ [8, 14]. MPR for ‘other respiratory medicines’ did not include salbutamol nebulisers or inhalers. Participants who had an MPR ≥80% were categorised as adherent for inhaled antibiotics and other respiratory medicines [8].

A pulmonary exacerbation was defined as a new administration of oral or intravenous (IV) antibiotics for a respiratory infection [23]. Participants kept a record of oral and IV antibiotic usage and hospital admissions for bronchiectasis for the duration of the study and these were cross-referenced with participant medical records and prescription data. To take account of potential clustering of pulmonary exacerbations [24], antibiotics administered within 14 days of the end of a previous course of antibiotics were considered to be a continuation of the previous pulmonary exacerbation and not classified as a new pulmonary exacerbation [25]. This cut-off for exacerbations reflects data in COPD which demonstrates that it takes 14 days to recover from an exacerbation [26]. No similar data exist for bronchiectasis.

Spirometry was performed according to accepted guidelines at baseline and 12 months [27]. Participants self-completed the Quality of Life Questionnaire-Bronchiectasis (QOL-B) (version 2.0, 2008) at baseline and 12 months [28]. This version contained 45 questions. Further revisions were made by the authors (version 2.1, 2010), which removed 10 questions that patients did not perceive as relevant and added one question ‘I am worried about being exposed to others who are sick’ (scored on the Social Functioning domain). The 10 questions that were removed were not scored and the wording of the remaining questions between version 2.0 (2008) and version 2.1 (2010) was unchanged. The scoring of the questionnaire allows for one missing response in each domain; therefore, the addition of a new question did not impact the scoring for the Social Functioning domain for those who had already completed the previous version at baseline (n = 48). Version 2.1 (2010) was used for all other study time points. Standardized scores were calculated for the 8 scales of the QOL-B (Physical Functioning, Role Functioning, Vitality, Social Functioning, Emotional Functioning, Treatment Burden, Health Perceptions, Respiratory Symptoms), ranging from 0–100 for each domain; higher scores indicate better HRQoL. No total score is calculated. Psychometric properties of the QOL-B are discussed in Additional file 1.

Statistical analysis

Assuming that adherence to inhaled medication was low in this patient group, in order to detect a difference of 2 exacerbations at 80% power and 5% significance, approximately 100 participants needed to be recruited, assuming that 80% were non-adherent and 20% were adherent. This study was conducted across 8 sites to maximise recruitment; despite this, there were insufficient numbers of eligible participants to meet the recruitment target within the study timeframe. However, the study was not underpowered to detect a difference in the frequency of pulmonary exacerbations (see details in the Discussion).

Data were included up until completion or withdrawal from the study and were entered into IBM SPSS for Windows, version 19 (IBM Corp, Armonk, NY). Between-group differences in adherence were calculated for pulmonary exacerbations, lung function at 12 months and QOL-B at 12 months using t tests. These analyses were completed using MPR for medication adherence and self-report for airway clearance adherence. A Poisson regression model with adherence to inhaled antibiotics, other respiratory medicines and airway clearance entered as independent variables and pulmonary exacerbations as the dependent variable was completed. A standard linear regression model with adherence to inhaled antibiotics, other respiratory medicines and airway clearance entered as independent variables was completed for each of the following outcomes: 12 month FEV1 % predicted, 12 month QOL-B Treatment Burden and Respiratory Symptoms domains. We did not complete regression models to determine associations between adherence and all eight QOL-B domains to limit the chance of type 1 error. We chose QOL-B Treatment Burden and Respiratory Symptoms as Treatment Burden is important for adherence in CF [9] and QOL-B Respiratory Symptoms is a recognised end-point for bronchiectasis clinical trials [29]. All models were adjusted for age, gender and baseline FEV1 % predicted. If any of the adherence groups in any of the models were significant or borderline significant (p < 0.1), we re-ran the models with that one omitted to check for ‘masking’ of effects of the other two groups.

Results

Study participants

Seventy-five of 108 (69%) potentially eligible participants were recruited, with 69 completing the one-year study (Figure 1). Participants were in the study for a mean ± SD of 355 ± 72 days. Participants’ baseline demographic, disease-specific, medication, airway clearance and QOL-B data are shown in Table 1.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2466-14-107/MediaObjects/12890_2013_Article_545_Fig1_HTML.jpg
Figure 1

Flow of participants through the study from recruitment to completion.

Adherence to treatment

More participants self-reported adherence to inhaled antibiotics (50/75 participants [67%]) and other respiratory medicines (45/74 participants [61%]) than was recorded using MPRs (inhaled antibiotics: 35/66 [53%] and other respiratory medicines: 39/73 [53%]) (Table 2). Airway clearance had the lowest rate of adherence (self-report), with 31/75 (41%) participants categorised as adherent. This was significantly lower than adherence to inhaled antibiotics (p = 0.00) and other respiratory medicines (p = 0.01). Overall, only 12 (16%) participants were categorised as adherent to all prescribed treatments and 16 (21%) were categorised as non-adherent to all treatments.
Table 2

Comparison between adherence groups for health outcomes measured during the one-year study

 

Inhaled antibiotics

 

Other respiratory medicines

 

Airway clearance

 

(n = 61a)

 

(n = 68b)

 

(n = 69c)

 

Adherent (n = 32)

Non-adherent (n = 29)

p

Adherent (n = 37)

Non-adherent (n = 31)

p

Adherent (n = 27)

Non-adherent (n = 42)

p

Pulmonary exacerbationsd

2.6 ± 2

4.0 ± 2

0.00*

3.1 ± 2.2

3.3 ± 2.3

0.75

3.1 ± 2.2

3.2 ± 2.2

0.84

FEV1, L at 12 months

1.36 ± 0.54

1.29 ± 0.51

0.61

1.35 ± 0.59

1.35 ± 0.50

0.97

1.29 ± 0.44

1.41 ± 0.61

0.40

FEV1,% predicted at 12 months

65 ± 28

56 ± 23

0.22

63 ± 30

63 ± 22

0.92

65 ± 23

62 ± 29

0.60

QOL-B at 12 months

         

Physical Functioning

33 ± 28

31 ± 24

0.77

29 ± 26

39 ± 28

0.13

42 ± 28

29 ± 26

0.05*

Role Functioning

48 ± 27

45 ± 21

0.63

44 ± 24

55 ± 24

0.06

48 ± 23

50 ± 26

0.79

Vitality

39 ± 22

39 ± 20

0.92

40 ± 20

40 ± 22

0.98

39 ± 23

40 ± 20

0.73

Social Functioning

42 ± 28

41 ± 22

0.89

39 ± 26

43 ± 25

0.46

37 ± 22

44 ± 27

0.25

Emotional Functioning

73 ± 21

76 ± 18

0.60

74 ± 20

76 ± 20

0.69

73 ± 23

76 ± 18

0.49

Treatment Burden

59 ± 22

57 ± 21

0.83

61 ± 25

59 ± 20

0.66

54 ± 22

64 ± 22

0.07

Health Perceptions

40 ± 18

39 ± 13

0.80

40 ± 18

42 ± 16

0.71

40 ± 19

41 ± 16

0.79

Respiratory Symptoms

61 ± 21

51 ± 20

0.06

60 ± 22

53 ± 20

0.15

54 ± 20

58 ± 22

0.42

an = 61: 6 withdrawals, 8 without adequate adherence data.

bn = 68: 6 withdrawals, 1 participant not prescribed treatment.

cn = 69: 6 withdrawals.

dinhaled antibiotics: n = 66: 1 participant withdrawal, 8 participants with insufficient data to calculate adherence; other respiratory medicines n = 73: 1 participant withdrawal, 1 not prescribed; airway clearance n = 74: 1 participant withdrawal.

*p < 0.05.

Results are presented as mean ± SD, median (IQR) or percentage.

FEV1: forced expiratory volume in one second.

QOL-B: Quality of Life Questionnaire-Bronchiectasis; scores range 0–100, higher scores indicate better quality of life.

Health outcomes

Participants had a mean ± SD 3.2 ± 2 pulmonary exacerbations during the study. Mean ± SD FEV1 (1.36 L ± 0.55) and FEV1, % predicted (63% ± 26) at 12 months were not significantly different from baseline. Mean ± SD 12 month QOL-B Physical Functioning (34 ± 27), Role Functioning (49 ± 25), Vitality (40 ± 21), Social Functioning (41 ± 25), Emotional Functioning (75 ± 20), Treatment Burden (60 ± 22), Health Perceptions (41 ± 17), Respiratory Symptoms (57 ± 21) scores were not significantly different from baseline.

Treatment adherence and health outcomes

Differences in health outcomes between adherence groups are summarised in Table 2. Participants who were adherent to inhaled antibiotics had significantly fewer pulmonary exacerbations and participants who were adherent to airway clearance had significantly higher QOL-B Physical Functioning scores (Table 2). No other significant differences between those who were adherent and non-adherent were noted.

Regression models for adherence and health outcomes are shown in Tables 3, 4, 5 and 6. Adherence to inhaled antibiotics was associated with having fewer pulmonary exacerbations (regression co-efficient = -0.51, 95% CI [-0.81,-0.21], p < 0.001). Adherence to other respiratory medicines and airway clearance were not associated with pulmonary exacerbations. Adherence to treatment was not associated with FEV1 % predicted. Adherence to airway clearance was associated with having a lower QOL-B Treatment Burden score i.e. higher treatment burden (regression co-efficient = -15.46, 95% CI [-26.54, -4.37], p < 0.01). Adherence to inhaled antibiotics and other respiratory medicines were not associated with QOL-B Treatment Burden score. Adherence to airway clearance was associated with lower Respiratory Symptoms domains scores i.e. more problematic symptoms (regression co-efficient = -10.77, 95% CI [-21.45; -0.09], p < 0.05). Adherence to inhaled antibiotics and other respiratory medicines were not associated with QOL-B Respiratory Symptoms score.
Table 3

Poisson regression model for the association between adherence and pulmonary exacerbations a

Independent variables

Estimated co-efficient (SE)

95% CI

Adherence to inhaled antibioticsb

-0.51*** (0.15)

[-0.81; -0.21]

Adherence to other respiratory medicinesb

0.06 (0.15)

[-0.24; 0.36]

Adherence to airway clearanceb

0.04 (0.15)

[-0.25; 0.33]

Age

-0.01 (0.01)

[-0.02; 0.01]

Genderc

0.17 (0.15)

[-0.14; 0.47]

Baseline FEV1 % predicted

0.01 (0.00)

[0.00; 0.01]

an = 65: 1 participant withdrawal, 8 participants with insufficient data to calculate adherence to inhaled antibiotics and 1 participant not prescribed other respiratory medicines.

bAdherent = 1, non-adherent = 0.

cMale = 1, female = 0.

***p < 0.001.

Table 4

Linear regression model for the association between adherence and FEV 1 % predicted a

Independent variables

Estimated co-efficient (SE)

95% CI

Adherence to inhaled antibioticsb

-2.03 (2.57)

[-7.06; 3.00]

Adherence to other respiratory medicinesb

4.43 (2.57)

[-0.61; 9.47]

Adherence to airway clearanceb

-2.32 (2.47)

[-7.16; 2.51]

Age

-0.11 (0.15)

[-0.40; 0.17]

Genderc

-5.05 (2.64)

[-10.23; 0.13]

Baseline FEV1 % predicted

1.04*** (0.05)

[0.94; 1.15]

an = 60: 6 participant withdrawals,, 8 participants with insufficient data to calculate adherence to inhaled antibiotics and 1 participant not prescribed other respiratory medicines.

bAdherent = 1, non-adherent = 0.

cMale = 1, female = 0.

***p < 0.001.

Adjusted R2 = 0.07.

Table 5

Linear regression model for the association between adherence and 12 month QOL-B Treatment Burden a

Independent variables

Estimated co-efficient (SE)

95% CI

Adherence to inhaled antibioticsb

-0.01 (5.88)

[-11.53; 11.51]

Adherence to other respiratory medicinesb

-4.22 (5.89)

[-15.77; 7.34]

Adherence to airway clearanceb

-15.46** (5.66)

[-26.54; -4.37]

Age

0.79* (0.33)

[0.14; 1.45]

Genderc

10.87 (6.05)

[-0.72; 24.34]

Baseline FEV1% predicted

0.16 (0.12)

[-0.09; 0.40]

an = 60: 6 participant withdrawals, 8 participants with insufficient data to calculate adherence to inhaled antibiotics and 1 participant not prescribed other respiratory medicines.

bAdherent = 1, non-adherent = 0.

cMale = 1, female = 0.

**p < 0.01, *p < 0.05.

Adjusted R2 = 0.13.

Table 6

Linear regression model for the association between adherence and 12 months QOL-B respiratory symptoms a

Independent variables

Estimated co-efficient (SE)

95% CI

Adherence to inhaled antibioticsb

8.13 (5.66)

[-2.96; 19.22]

Adherence to other respiratory medicinesb

-1.94 (5.68)

[-13.06; 9.19]

Adherence to airway clearanceb

-10.77* (5.45)

[-21.45; -0.09]

Age

0.92** (0.32)

[0.29; 1.55]

Genderc

7.74 (5.83)

[-3.68; 19.17]

Baseline FEV1% predicted

0.07 (0.12)

[-0.16; 0.31]

an = 60: 6 participant withdrawals,, 8 participants with insufficient data to calculate adherence to inhaled antibiotics and 1 participant not prescribed other respiratory medicines.

bAdherent = 1, non-adherent = 0.

cMale = 1, female = 0.

**p < 0.01, *p < 0.05.

Adjusted R2 = 0.16.

Discussion

In this one-year study, treatment adherence was low in patients with bronchiectasis prescribed inhaled antibiotics for P. aeruginosa infection. The reported MPR adherence rates of 53% for inhaled antibiotics and other respiratory medicines and 41% for airway clearance (based on self-report) are comparable to studies in asthma, COPD and CF [68] but lower than previously reported in bronchiectasis [11, 16]. MPR is a more reliable method of adherence measurement than self-report in observational studies conducted in a ‘real-life’ setting [13]; however, it still has the potential to over-estimate adherence [8], making these findings even more clinically concerning. At present, treatment adherence is not routinely assessed in bronchiectasis. We have demonstrated that it is possible to collect these data within a ‘real-life’ setting and are aware that some centres already have access to pharmacy claims data; therefore, potential methods of objectively monitoring adherence in clinical practice are on the horizon. With the prescription of new and potentially expensive therapies for bronchiectasis, particularly for those infected with P. aeruginosa[16, 17], monitoring of adherence is likely to become an increasingly important aspect of bronchiectasis management.

We studied adherence to three different treatments and found that these treatments had different effects on the health outcomes studied. Similar to findings of other longitudinal adherence studies in CF and COPD [8, 12], participants who were adherent to inhaled antibiotics had fewer pulmonary exacerbations, with nearly twice as many exacerbations in the non-adherent group. This is a significant finding given that exacerbations are thought to be associated with disease progression in this population [1]. Whilst the current study did not aim to determine the efficacy of inhaled antibiotics, it did indicate that inhaled antibiotics may be effective in reducing pulmonary exacerbations in bronchiectasis when ≥80% of prescribed medication is consumed. These findings, taken together with the recently reported colistin findings, have important implications for future inhaled antibiotics studies and for the monitoring of adherence to inhaled antibiotics in clinical practice [16]. We cannot discern the direction of the relationship between adherence and pulmonary exacerbations from our data and further research to better understand this relationship is needed. Approximately half of our participants were non-adherent to inhaled antibiotics. Therefore, irrespective of the direction of this relationship, interventions to improve adherence are likely to reduce the frequency of these critical pulmonary events and their associated costs.

The lack of association between adherence and FEV1 % predicted is not surprising in this population, given the growing evidence that FEV1 is not a sensitive measurement of lung function in bronchiectasis [1, 30]. Furthermore, the effectiveness of the treatments included in this study on maintaining or reducing FEV1 decline is not known.

Our mean QOL-B domain scores were all lower than those reported in the recent QOL-B paper, particularly for Physical and Role Functioning and Treatment Burden [28]. Inhaler preparations of antibiotics delivered via inhaler rather than nebuliser (e.g. ciprofloxacin dry powder inhaler [17]) may offer a potential method of reducing treatment burden in these patients with bronchiectasis. Inhaler delivery of antibiotics may improve adherence for those in whom time and effort are barriers to treatment. However, it is well recognised that adherence to inhalers in COPD and asthma is approximately 50% in most studies [6, 7]. For others, such as those worried about long term use of antibiotics, an inhaler preparation of antibiotics will not be sufficient to overcome these barriers to adherence.

Our results demonstrated that adherence to airway clearance was associated with a higher burden of treatment and worse respiratory symptoms as measured by QOL-B. These findings may appear counter-intuitive when compared to findings in CF [9]; however, the Treatment Burden domain asks patients about the amount of time they commit to their treatments on a daily basis; therefore, those who adherent are likely to spend longer on treatment and may report a higher treatment burden. The relationship between perceived symptoms and adherence is not clear-cut and there are many papers reporting conflicting results [6, 8, 12, 15]. We have recently reported that a lack of belief about necessity for treatment can influence adherence decision-making for airway clearance, particularly when patients do not experience troublesome symptoms [31]. Thus, it could be that this relationship reflects this finding, in that those with more symptoms may be more likely to adhere.

We did not find any association between adherence to inhaled antibiotics or other respiratory medicines and the QOL-B domains studied. This is similar to results from studies exploring associations between adherence to treatment and HRQoL in other chronic respiratory disease populations which have reported conflicting results [6, 8, 12, 15]. The inconsistent effects of medications on HRQoL of patients with bronchiectasis may go some way to explaining this finding. Some medications such as colistin and azithromycin are associated with better HRQoL [16, 32] whilst no significant improvement in HRQoL was reported for erythromycin [33]. In addition, the composite nature of the MPR value for ‘other respiratory medicines’ may also have masked any relationships between individual medications (e.g. azithromycin) and QOL-B.

We have recently reported that adherence decision-making in bronchiectasis involves patients weighing up the pros and cons of adhering to treatment [31]. The prescription of medications ‘off-label’ and without proven efficacy may be influencing this decision-making process, as patients may not perceive there to be any benefits of the prescribed treatments [31]. This may be particularly true for inhaled corticosteroids, which are generally not recommended for prescription for bronchiectasis [5] but which were prescribed for 87% of the participants in this study. Thus, there is an urgent need for efficacy studies in this population so that as we begin to focus on improving adherence, we do so for efficacious treatments.

This study was based in a ‘real life’ setting and the cost and lack of availability of electronic monitoring in clinical practice plus its potential behaviour altering effect precluded its inclusion in this study. Therefore, MPRs offered an accurate and feasible method of measuring medication adherence [13]. It is accepted that MPR may overestimate medication adherence as it does not confirm ingestion or inhalation [8]. Carryover and leftover were not included in our MPR calculations; however, the duration of the follow-up period of our study may have reduced the effect of any carryover/left-over as this is likely to average out over time [22]. We collected MPR data on a 6 monthly basis; however, we only calculated MPR over the year of the study rather than 6 monthly to reduce the effect that seasonal variation in symptoms might have on adherence and health outcomes. A cut-off of 80% to denote adherence and non-adherence is commonly used in the adherence literature and in landmark bronchiectasis clinical trials [17, 20]. Furthermore, the 80% cut-off has been shown to offer the optimal balance between specificity and sensitivity for self-reported and prescription refill adherence measures [19].

The primary limitation of this study was its sample size. We did not reach the target of 100 participants within the study sites and timeframe. However, the study was not underpowered to detect a difference in pulmonary exacerbations and the sample size is similar to recently reported studies in bronchiectasis [32, 33]. The study analysed the associations between adherence data collected over one year with health outcome data collected at one data collection point (12 months). This did not allow us to explore the variability within adherence during the study or to analyse the effect of adherence on outcomes at other time points e.g. 6 months after baseline. In most cases, participants used a regular community pharmacy to dispense all of their medications for bronchiectasis; however, it is possible that some data may have been missing if a participant or carer used a different pharmacy to those contacted. We minimised this by asking participants to provide an up-to-date list at each visit of all of the pharmacies they used and the researcher contacted all of these pharmacies. This study only included patients infected with P. aeruginosa, who constitute approximately 20% of the bronchiectasis population [2]. These patients tend to be sicker than other patients with bronchiectasis [3, 4]. However, the mean age of 64 years, predominance of women, and the moderate impairment in lung function suggested that our sample was representative of the bronchiectasis population [2].

Conclusions

This is the first study to demonstrate that adherence is low in bronchiectasis and that it affects important health outcomes including pulmonary exacerbations. Therefore, adherence assessment and monitoring should be considered an integral part of the management of patients with bronchiectasis to ensure that treatment interventions are optimised. Future research should explore reasons for non-adherence and evaluate bronchiectasis-specific strategies to enhance adherence in these patients.

Authors information

Judy M Bradley and Carmel M Hughes, Joint senior authors.

Abbreviations

BNF: 

British National Formulary

CF: 

Cystic fibrosis

COPD: 

Chronic obstructive pulmonary disease

FEV1

Forced expiratory volume in 1 second

HRQoL: 

Health-related quality of life

IV: 

Intravenous

MPR: 

Medication possession ratio

QOL-B: 

Quality of Life Questionnaire-Bronchiectasis

UK: 

United Kingdom

US: 

United States.

Declarations

Acknowledgements

The authors would like to thank Dr Ian Bradbury from Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, University of Ulster and Frontier Science Scotland for his assistance with statistical analysis. We would also like to thank staff at the Northern Ireland Clinical Research Network (Respiratory Health) and the bronchiectasis teams in the Belfast, South Eastern, Western, and Southern Health and Social Care Trusts for their assistance with recruitment to the study, in particular, Rosemary Hanna, Oonagh Hewitt, Diane Todd, Sharon Mills, and Dr Terence McManus.

Authors’ Affiliations

(1)
Clinical & Practice Research Group, School of Pharmacy, Queen’s University Belfast
(2)
Department of Psychology, University of Miami
(3)
Centre for Infection and Immunity, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast
(4)
Centre for Health and Rehabilitation Technologies (CHaRT), Institute of Nursing and Health Research, University of Ulster

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  34. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2466/14/107/prepub

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