BACKGROUND: Asthma guidelines advise addressing adherence at every visit, but no simple tools exist to assist clinicians in identifying key adherence-related beliefs or behaviours for individual patients. AIMS: To identify potentially modifiable beliefs and behaviours that predict electronically recorded adherence with controller therapy. METHODS: Patients aged ≥ 14 years with doctor-diagnosed asthma who were prescribed inhaled corticosteroid/long-acting β(2)-agonist (ICS/LABA) completed questionnaires on medication beliefs/behaviours, side-effects, Morisky adherence behaviour score and Asthma Control Test (ACT), and recorded spirometry. Adherence with ICS/LABA was measured electronically over 8 weeks. Predictors of adherence were identified by univariate and multivariate analyses. RESULTS: 99/100 patients completed the study (57 female; forced expiratory volume in 1 s mean ± standard deviation 83 ± 23% predicted; ACT 19.9 ± 3.8). Mean electronically recorded adherence (n= 85) was 75% ± 25, and mean self-reported adherence was 85% ± 26%. Factor analysis of questionnaire items significantly associated with poor adherence identified seven themes: perceived necessity, safety concerns, acceptance of asthma chronicity/medication effectiveness, advice from friends/family, motivation/routine, ease of use and satisfaction with asthma management. Morisky score was moderately associated with actual adherence (r=-0.45, P < 0.0001). In regression analysis, 10 items independently predicted adherence (adjusted R(2) = 0.67; P < 0.001). Opinions of friends/family about the patient's medication use were strongly associated with poor adherence. Global concerns about ICS/LABA therapy were more predictive of poor adherence than were specific side-effects; the one-third of patients who reported experiencing side-effects from their steroid inhaler had lower adherence than others (mean 62% vs 81%; P= 0.015). CONCLUSIONS: This study identified several specific beliefs and behaviours which clinicians could use for initiating patient-centred conversations about medication adherence in asthma.
BACKGROUND:Asthma guidelines advise addressing adherence at every visit, but no simple tools exist to assist clinicians in identifying key adherence-related beliefs or behaviours for individual patients. AIMS: To identify potentially modifiable beliefs and behaviours that predict electronically recorded adherence with controller therapy. METHODS:Patients aged ≥ 14 years with doctor-diagnosed asthma who were prescribed inhaled corticosteroid/long-acting β(2)-agonist (ICS/LABA) completed questionnaires on medication beliefs/behaviours, side-effects, Morisky adherence behaviour score and Asthma Control Test (ACT), and recorded spirometry. Adherence with ICS/LABA was measured electronically over 8 weeks. Predictors of adherence were identified by univariate and multivariate analyses. RESULTS: 99/100 patients completed the study (57 female; forced expiratory volume in 1 s mean ± standard deviation 83 ± 23% predicted; ACT 19.9 ± 3.8). Mean electronically recorded adherence (n= 85) was 75% ± 25, and mean self-reported adherence was 85% ± 26%. Factor analysis of questionnaire items significantly associated with poor adherence identified seven themes: perceived necessity, safety concerns, acceptance of asthma chronicity/medication effectiveness, advice from friends/family, motivation/routine, ease of use and satisfaction with asthma management. Morisky score was moderately associated with actual adherence (r=-0.45, P < 0.0001). In regression analysis, 10 items independently predicted adherence (adjusted R(2) = 0.67; P < 0.001). Opinions of friends/family about the patient's medication use were strongly associated with poor adherence. Global concerns about ICS/LABA therapy were more predictive of poor adherence than were specific side-effects; the one-third of patients who reported experiencing side-effects from their steroid inhaler had lower adherence than others (mean 62% vs 81%; P= 0.015). CONCLUSIONS: This study identified several specific beliefs and behaviours which clinicians could use for initiating patient-centred conversations about medication adherence in asthma.
Authors: Kevin B Johnson; Barron L Patterson; Yun-Xian Ho; Qingxia Chen; Hui Nian; Coda L Davison; Jason Slagle; Shelagh A Mulvaney Journal: J Am Med Inform Assoc Date: 2015-12-11 Impact factor: 4.497
Authors: Helen K Reddel; Eric D Bateman; Allan Becker; Louis-Philippe Boulet; Alvaro A Cruz; Jeffrey M Drazen; Tari Haahtela; Suzanne S Hurd; Hiromasa Inoue; Johan C de Jongste; Robert F Lemanske; Mark L Levy; Paul M O'Byrne; Pierluigi Paggiaro; Soren E Pedersen; Emilio Pizzichini; Manuel Soto-Quiroz; Stanley J Szefler; Gary W K Wong; J Mark FitzGerald Journal: Eur Respir J Date: 2015-07-23 Impact factor: 16.671
Authors: Rob Horne; Sarah C E Chapman; Rhian Parham; Nick Freemantle; Alastair Forbes; Vanessa Cooper Journal: PLoS One Date: 2013-12-02 Impact factor: 3.240
Authors: Evalyne M Jansen; Susanne J van de Hei; Boudewijn J H Dierick; Huib A M Kerstjens; Janwillem W H Kocks; Job F M van Boven Journal: J Thorac Dis Date: 2021-06 Impact factor: 2.895
Authors: K-C Chiu; W Boonsawat; S-H Cho; Y J Cho; J-Y Hsu; C-K Liam; A R Muttalif; H D Nguyen; V N Nguyen; C Wang; N Kwon Journal: J Asthma Date: 2014-04-01 Impact factor: 2.515