The effects of education-based adherence interventions for patients with chronic respiratory diseases: A systematic review

To, Ka–Fai; Choi, K.C.; Lee, F.K.

doi:10.1016/j.rmed.2017.07.045

Cited by 2 publications

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“…Employing a step-by-step approach for demonstration and return-demonstration of the inhalation techniques can develop skill capabilities and self-efficacy (Bosnic-Anticevich, Sinha, So, & Reddel, 2010). Although the IMB model has never been used to improve inhalation therapy adherence among COPD patients, the systematic review conducted found that education-alone interventions were not as effective as interventions that also include behavioural and psychosocial components (To, 2017). Previous studies have shown that the IMB model is effective in improving adherence to health behaviours in patients with acquired immune deficiency syndrome, coronary heart disease, and diabetes (Illa et al, 2010;Osborn et al, 2010;Zarani, Besharat, Sadeghian, & Sarami, 2010); however, the effect of the IMB skills on promoting COPD patients' adherence to inhalation therapy has not been studied.…”

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confidence: 99%

An information‐motivation‐behavioural‐based model and adherence to inhalation therapy and other health outcomes in patients with chronic obstructive pulmonary disease: A pilot randomized controlled trial

Lee

Choi

et al. 2020

Int J of Nursing Practice

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Aims To explore the feasibility and effects of the programme based on information‐motivation‐behavioural skills (IMB) model (IMB programme) on adherence to inhalation therapy and other health outcomes in chronic obstructive pulmonary disease (COPD) patients. Background Poor adherence to inhalation therapy is common among COPD patients. The IMB model is supported by previous studies as useful in promoting adherence to health behaviours. Methods This pilot randomized controlled trial randomized 35 COPD patients to receive either the IMB‐based programme or usual care. The 4‐week IMB programme consisted of a face‐to‐face and two telephone sessions to empower patients with skills and knowledge on using inhalation therapy and support their goal attainment for treatment compliance. Outcome evaluation including adherence to inhalation therapy, inhalation techniques, disease impact, and quality of life was conducted at baseline and at 6 weeks after randomization. Feasibility of the IMB programme was evaluated by a satisfaction survey and implementation experience. Results Thirty patients completed the study, with an attrition rate of 14.3%. The intervention group (n = 15) had significant improvements in inhalation adherence, inhalation techniques, and quality of life than the control group over the evaluation period. Patient satisfaction survey results and observations on programme implementation suggested the feasibility of the IMB programme. Conclusion A IMB model is a feasible and potentially effective intervention for improving COPD patients' adherence to inhalation therapy.

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Section: Introductionmentioning

confidence: 99%

An information‐motivation‐behavioural‐based model and adherence to inhalation therapy and other health outcomes in patients with chronic obstructive pulmonary disease: A pilot randomized controlled trial

Lee

Choi

et al. 2020

Int J of Nursing Practice

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Adherence-enhancing interventions for pharmacological and oxygen therapy in patients with COPD: a systematic review and component network meta-analyses

Ammous,

Kampo,

Wollsching-Strobel

et al. 2024

Eur Respir Rev

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IntroductionAdherence to COPD management strategies is complex, and it is unclear which intervention may enhance it.ObjectivesWe aim to evaluate the effectiveness of adherence-enhancing interventions, alone or compared to interventions, for patients with COPD.MethodsThis review comprises a component network meta-analysis with a structured narrative synthesis. We searched MEDLINE, Embase, CENTRAL, CINAHL and trial registries on 9 September 2023. We included controlled studies that explored adherence in patients with COPD. Two review authors independently performed the study selection, data extraction and the risk of bias assessment. We involved patients with COPD in developing this systematic review through focus group interviews and displayed the findings in pre-designed logic models.ResultsWe included 33 studies with 5775 participants. We included 13 studies in the component network meta-analysis that explored adherence. It was mainly assessed through questionnaires. As a continuous outcome, there was a tendency mainly for education (standardised mean difference 1.26, 95% CI 1.13–1.38, very low certainty of evidence) and motivation (mean difference 1.85, 95% CI 1.19–2.50, very low certainty of evidence) to improve adherence. As a dichotomous outcome (e.g.adherent/non-adherent), we found a possible benefit with education (odds ratio 4.77, 95% CI 2.25–10.14, low certainty of evidence) but not with the other components. We included six studies that reported quality of life in the component network meta-analysis. Again, we found a benefit of education (mean difference −9.70, 95% CI −10.82– −8.57, low certainty of evidence) but not with the other components.ConclusionsEducation may improve adherence and quality of life in COPD patients. Patient focus group interviews indicated that interventions that strengthen patients’ self-efficacy and help them to achieve individual goals are the most helpful.

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The effects of education-based adherence interventions for patients with chronic respiratory diseases: A systematic review

Cited by 2 publications

References 0 publications

An information‐motivation‐behavioural‐based model and adherence to inhalation therapy and other health outcomes in patients with chronic obstructive pulmonary disease: A pilot randomized controlled trial

An information‐motivation‐behavioural‐based model and adherence to inhalation therapy and other health outcomes in patients with chronic obstructive pulmonary disease: A pilot randomized controlled trial

Adherence-enhancing interventions for pharmacological and oxygen therapy in patients with COPD: a systematic review and component network meta-analyses

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