| Literature DB >> 31534319 |
Maureen George1, Bruce Bender2.
Abstract
Chronic respiratory diseases such as asthma and COPD are typically managed by daily inhaled medication. However, the efficacy of an inhaled medication depends upon a patient's adherence to therapy, which refers to whether the medication is actually taken as prescribed. In patients with these diseases, higher adherence has been associated with better health outcomes, such as improved disease control and a reduction in severe and potentially costly exacerbations. Adherence is a multifaceted concept that includes medication-related, intentional, and unintentional reasons that patients may or may not take their medication as directed. The purpose of this integrative review is to present the individual patient factors that contribute to suboptimal adherence to inhaled therapies and the associated effects on health outcomes, while also highlighting evidence-based strategies for health care providers to improve adherence to such therapies in patients with asthma or COPD. Working closely with patients to establish a model of shared decision-making, which takes patient beliefs and preferences into account when choosing treatment options, has the potential to improve adherence and overall patient outcomes in the management of asthma and COPD.Entities:
Keywords: chronic disease; evidence-based medicine; health behavior; inhalers
Year: 2019 PMID: 31534319 PMCID: PMC6681064 DOI: 10.2147/PPA.S209532
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Figure 1Factors contributing to suboptimal adherence in asthma and COPD. The factors that contribute to suboptimal adherence in asthma and COPD are grouped into 3 major categories.
Notes: Image: iStock.com/Alessandro2802. Data from Global initiative for asthma http://www.ginasthma.org2; Makela et al3; Bryant et al7 and van Boven.18
Abbreviations: COPD, chronic obstructive pulmonary disease; HCP, health care provider.
Summary of study results linking inhaled medication adherence to patient outcomes in asthma
| Study | Population | Study design | Measure(s) of adherence | Outcomes |
|---|---|---|---|---|
| Bender 2010 | US patients aged 18–65 years | Randomized clinical trial | Electronic dose counter Changes in canister weight (budesonide/formoterol only) | IVR significantly improved adherence by 32% ( BMQ showed a greater upward shift in medication beliefs for the IVR group ( No difference observed in AQLQ or ACT between groups |
| Melani 2011 | Italian patients aged ≥14 years | Cross-sectional, observational study of patients using an inhaler regularly at home | Investigator-observed placebo inhaler use | Suboptimal inhaler technique increased risk of hospitalization (47%, |
| Petrie 2012 | New Zealander patients aged 16–45 years | Randomized clinical trial | Patient-reported | Average adherence over time was significantly higher in the intervention group (57.8%) than the control group (43.2%, Patients with an average adherence ≥80% included significantly more patients from the intervention group (25.9%) compared with the control group (10.6%, Perceptions of controller medication necessity, long-term nature of asthma, and asthma control were all positively increased in the intervention group relative to the control group (all |
| Vollmer 2013 | US patients aged ≥18 years | Pragmatic clinical trial | mMPR ≥0.8 | Primary analysis: IVR significantly increased adherence by 0.02 ( Post hoc analysis (receiving ≥2 IVR contacts): adherence increased by 0.06 ( No difference observed in asthma morbidity (SABA use or urgent asthma health care use) |
| Ismaila 2014 | Canadian patients aged ≥12 years | Observational study of patients taking FSC | MPR ≥80% Persistence: ≤30-day treatment gap | MPR ≥80% reduced exacerbation risk by 52% ( Persistence reduced exacerbation risk by 58% ( |
| Makhinova 2015 | US patients aged 5–63 years | Retrospective claims database study of patients taking any asthma controller medication | PDC ≥50% | Adherent patients were 96.7% more likely to have ≥6 SABA prescription claims ( Adherent patients had 0.11 fewer OCS prescription claims ( |
| Jentzsch 2017 | Brazilian patients aged 5–16 years | Prospective, observational study of patients with uncontrolled moderate, persistent asthma despite high adherence | Electronic dose counter | Patients with controlled asthma had significantly higher adherence rates at 2, 4, and 6 months (87.8%, 74.9%, and 62.1%, respectively) compared with uncontrolled patients (71.7%, 56.0%, and 47.6%; |
| Trivedi 2017 | US patients in grades 1–12; mean age of 10.5 years | Retrospective study of children with persistent asthma | Daily school nurse-supervised ICS therapy | Asthma-related ER visits decreased 37.5% ( |
| Jochmann 2017 | UK patients aged 5–17 years | Prospective, observational study to distinguish between severe disease and suboptimal adherence | Electronic dose counter | 4 groups were identified based on adherence and asthma control; 24% had high adherence and improved control, 18% had suboptimal control despite high adherence, 26% had good control despite suboptimal adherence, and 32% had suboptimal control and suboptimal adherence |
Abbreviations: AQLQ, asthma quality of life questionnaire; ACT, asthma control test; BMQ, belief in medications questionnaire; ER, emergency room; FSC, fluticasone propionate/salmeterol combination; ICS, inhaled corticosteroid; IVR, interactive voice recognition; mMPR, modified medication possession ratio; MPR, medication possession ratio; OCS, oral corticosteroid; PDC, proportion of days covered; SABA, short-acting beta-agonist.
Summary of study results linking inhaled medication adherence to patient outcomes in COPD
| Study | Population | Study design | Measure of adherence | Outcome(s) |
|---|---|---|---|---|
| Vestbo 2009 | TORCH cohort, aged 40–80 years | Subanalysis of TORCH patient database | Electronic dose counter | High adherence was associated with 60% decreased risk of death ( High adherence was associated with a 44% lower rate of severe exacerbations ( |
| Ismaila 2014 | Canadian patients aged ≥40 years | Observational claims database study | MPR ≥80% Persistence: ≤30-day treatment gap | Tiotropium MPR ≥80% decreased the rate of both moderate (–0.65*) and severe (–0.2*) exacerbations ( Tiotropium persistence decreased the rate of moderate exacerbations (–0.14*) Tiotropium+FSC MPR ≥80% decreased the rate of both moderate (–0.72*) and severe (–0.33*) exacerbations ( Tiotropium+FSC persistence decreased the rate of both moderate (–0.38*) and severe (–0.19*) exacerbations ( |
| Tommelein 2014 | PHARMACOP cohort, aged ≥50 years | Randomized, controlled, parallel-group trial | MRA ≥80% | Severe exacerbation rate decreased by 55% ( Hospitalization rate decreased by 72% ( |
| Kim 2017 | South Korean high-grade COPD patients aged ≥40 years | Observational claims database study | MPR ≥80% | Adherent patients had 10.4% lower all-cause health care costs ( |
Note: *Mean number of events/patient/100 days during the follow-up period.
Abbreviations: CI, confidence interval; FSC, fluticasone propionate/salmeterol combination; ICU, intensive care unit; MPR, medication possession ratio; MRA, medication refill adherence; OR, odds ratio.
Figure 2Strategies for improving adherence to inhaled medications for asthma and COPD. A multifaceted care plan tailored to an individual patient can improve adherence and, ultimately, health outcomes.
Notes: Upper left image: iStock.com/Vesnaandjic. Upper right image reprinted from The Lancet, Vol. 3, No. 3, Chan AH, Stewart AW, Harrison J, Camargo CA, Black PN, Mitchell EA, The effect of an electronic monitoring device with audiovisual reminder function on adherence to inhaled corticosteroids and school attendance in children with asthma: a randomised controlled trial, p210-219, Copyright 2015, with permission from Elsevier.70 Bottom left image: iStock.com/Steve Debenport. Bottom right image: iStock.com/DragonImages. Data from Tommelein et al53 Wilson et al59and Chan et al.70
Abbreviations: COPD, chronic obstructive pulmonary disease; HCP, health care provider.