Text Analysis of Support Overview by Community Pharmacists to Prevent Self-interruption of Medication in Depressed Patients

Abstract

Depression requires continuous long-term treatment. However, many patients drop out from their treatment program. The purpose of this study is to investigate the current status of pharmacists’ support for depressed patients at higher risk of self-discontinuation of medication. This was a cross-sectional study of community pharmacists’ support for depressed patients using a web-based questionnaire. The survey items were 1) pharmacists’ basic attributes and 2) pharmacists’ support to prevent patients from dropping out of their treatment. Morphological analysis was performed using text mining to analyze the free responses, and the relationships between the extracted categories were examined using hierarchical cluster analysis. Free responses were obtained from 77 pharmacists. The morphological analysis extracted 26 categories from their responses, and the category with the highest frequency of occurrence was “explain” (44 times). The extracted categories were stratified into clusters 1 to 6 using hierarchical cluster analysis.