The impact of health literacy on beliefs about medication in a Dutch medication-using population.

PURPOSE: Medication beliefs are likely contingent on aspects of health literacy: knowledge, motivation, and competences to access, understand, appraise, and apply health information. An association between medication beliefs and health literacy is expected as they both influence self-management. The aim of this study was to examine the association between health literacy and the beliefs about overuse and harmful effects of medication and to examine modifying effects of age, gender, and number of medications on this association. METHODS: The data were collected using the online "Medication panel" of the Dutch Institute for Rational Use of Medicine. A linear regression model was used to examine the association between health literacy and beliefs about medication and the modifying effects of age, gender, and number of medications on this association. RESULTS: Respondents with a lower level of health literacy had more concerns about overuse (ß adj.= -.174, p<.001) and harmful (ß adj.= -.189, p<.001) effects of medication. This study found no modifying effects. CONCLUSIONS: A lower health literacy level is associated with more concerns about the overuse and harmful effects of medication. The results of this study suggest that extra attention should be given to persons with low health literacy level by healthcare professionals, to decrease their concerns about overuse and harmful effects, and improve adherence to self-management behavior.

Predicting Unsuccessful Clozapine Treatment After First Use in Adult Patients With Psychotic Disorders.

PURPOSE/BACKGROUND: Cessation of clozapine therapy and insufficient response may result in relapse of psychotic symptoms and in clinical admissions. However, discontinuation rates are high. Identifying patients at risk for unsuccessful clozapine use might enable clinicians to direct specific attention to them. METHODS/PROCEDURES: Routinely collected data from a large insurance company were used to develop a simple prediction model for unsuccessful clozapine treatment in psychiatric patients 1 year after clozapine was first dispensed by a community pharmacy in the Netherlands. Multivariate logistic regression analyses were performed with the Nagelkerke R statistic as a measure of the predictive value of the model. FINDINGS/RESULTS: A total of 937 patients were dispensed clozapine for the first time by their community pharmacy between January 1, 2011, and December 31, 2015 (index date). Of these, 741 patients had started their clozapine treatment in hospital before the index date (inpatient starters); the remaining 196 patients started clozapine as outpatients on the index date (outpatient starters). In 191 patients (20.4%), clozapine treatment was unsuccessful 1 year after the index date. Unsuccessful treatment was more common among outpatient starters than among inpatient starters (32.1% vs 17.3%). Using backward selection of the variables, a model consisting of 61 variables had the best predictive value overall (Nagelkerke R = 0.301), whereas a model consisting of 52 variables had the best predictive value in outpatient starters (Nagelkerke R = 0.676). IMPLICATIONS/CONCLUSIONS: The likelihood of unsuccessful clozapine treatment after 1 year was higher among patients who started clozapine as outpatients. Despite the use of a diversity of variables and different statistical approaches, it was not possible to make a simple prediction model for unsuccessful clozapine treatment using relatively easily accessible data.