Relevant quotes supporting the framework could then be displayed. Identifiers for individual patients followed each quote and were given as the patient number, the paragraph number in the transcript, sex, age and TABS scores represented as the ABS and NABS. A framework analysis provided

a robust technique for the analysis of qualitative data as it facilitates rigorous and transparent data management.[38,39] This analysis was completed in parallel with recruitment until data saturation was determined. The rationale for choosing TABS has already been discussed. The TABS questionnaire was validated in another chronic-condition cohort, chronic obstructive pulmonary disease, and was shown to be a reliable score for measuring adherence in a population with chronic disease.[35] Twenty patients (15 male, 5 female) met the study’s inclusion/exclusion criteria and consented RG7204 molecular weight to take part

– there were no refusals to participate in this research. This sample size achieved data saturation: this was the stage at which no new themes were generated. Eight additional interviews were conducted with no new themes emerging to define data saturation. Data was wide ranging with regard to age, height and weight of the participants. Only five patients (25%) were found to be of a healthy body mass index (20–25 kg/m2); seven (35%) were clinically obese with a body mass index of more than 30 kg/m2. Male patients comprised 75% of the cohort. The majority of Pim inhibitor the patients were employed (60%) (Tables 2 and 3). Patients were colour-coded

according to their TABS scores (Figure 1). Six patients (30%) (patient numbers 001, 004, 005, 014, 017 Arachidonate 15-lipoxygenase and 019) were found to have low ABS (<19/20) (Figure 2). Of those six, only two (patients 014 and 019) were also found to have high NABS (>8/20). The median ABS for this cohort was 19/20, whereas the median NABS was 7/20; both scores were suggestive of good adherence within the cohort (Table 4). The high value of the median ABS and low value of the median NABS indicated a desire in most patients to take their medication. The value of Pearson’s r exhibited no correlation between the NABS and the ABS. The clustering of patients in the box on the top left of Figure 2 indicated that 70% of patients scored high for ABS and low for NABS, which is suggestive of good adherence. The full thematic analysis can be seen in Figure 3. The main themes that relate to medication adherence can be found in Figure 4. Most of the themes were positively associated with increased medication adherence. However, the role of adverse drug reactions (ADRs) had a significant negative effect, while the community pharmacist role was considered non-significant by the majority of patients. In general, the cohort (especially those with low ABS and high NABS) had a good knowledge of commonly experienced ADRs due to medication they were prescribed.