The necessity-concerns framework predicts adherence to medication in multiple illness conditions: A meta-analysis

OBJECTIVE

This meta-analysis investigated whether beliefs in the necessity and concerns of medicine and the necessity-concerns differential are correlated with medication adherence on a population level and in different conditions.

METHODS

An electronic search of Web of Science, EMBASE, PubMed and CINAHL was conducted for manuscripts utilising the Beliefs about Medicines Questionnaire and comparing it to any measure of medication adherence. Studies were pooled using the random-effects model to produce a mean overall effect size correlation. Studies were stratified for condition, adherence measure, power and study design.

RESULTS

Ninety-four papers were included in the meta-analysis. The overall effect size(r) for necessity, concerns, and necessity-concerns differential was 0.17, -0.18 and 0.24 respectively and these were all significant (p<0.0001). Effect size for necessity was stronger in asthma and weaker in the cardiovascular group compared to the overall effect size.

CONCLUSION

Necessity and concerns beliefs and the necessity-concerns differential were correlated with medication adherence on a population level and across the majority of included conditions. The effect sizes were mostly small with a magnitude comparable to other predictors of adherence.

PRACTICE IMPLICATIONS

This meta-analysis suggests that necessity and concern beliefs about medicines are one important factor to consider when understanding reasons for non-adherence.

Predictors of adherence to treatment in bronchiectasis

OBJECTIVES

We aimed to determine if beliefs about treatment, clinical factors and quality of life predicted adherence to treatment in patients with bronchiectasis.

METHODS

We recruited participants with confirmed bronchiectasis to a one-year study. We calculated adherence to treatment using medication possession ratios and self-report. Baseline Beliefs about Medicines, clinical, demographic and Quality of Life Questionnaire-Bronchiectasis data were collected. We used logistic regression to determine predictors of adherence to treatment during the subsequent year.

RESULTS

Seventy-five participants were recruited. Beliefs about harm, age and total number of prescribed medications were predictors of adherence to inhaled antibiotics. Concerns about medication, age and Quality of Life Questionnaire-Bronchiectasis Treatment Burden were predictors of adherence to other respiratory medicines. Beliefs about necessity of airway clearance and age were predictors of adherence to airway clearance.

CONCLUSION

Beliefs about treatment, age, number of prescribed medications and perceived treatment burden predicted subsequent adherence in bronchiectasis, thereby, providing potential targets for future interventions in this population. Clinicians can use these data to identify patients with bronchiectasis who might be at risk of non-adherence i.e. those who are younger, have concerns about medications, who do not think airway clearance is necessary or who are prescribed numerous medications.