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Aim: To identify and quantify potential determinants of antimicrobial prescribing behaviour, using the Theoretical Domains Framework (TDF). Methods: A cross-sectional survey involving doctors (∼4000) and pharmacists (∼400) working within Hamad Medical Corporation (HMC), Qatar. An online questionnaire, developed with reference to the TDF, included: personal and practice demographics, and Likert statements on potential determinants of antimicrobial prescribing practice. Analysis included principal component analysis (PCA), descriptive and inferential statistics. Results: In total, 535 responses were received, 339 (63.4%) from doctors. Respondents were predominantly male, 346 (64.7%). Just over half (N = 285, 53.3%) had ≤5 years' experience. PCA showed a three-component (C) solution: ‘Guidelines compliance’ (C1), ‘Influences on practice’ (C2) and ‘Self-efficacy’ (C3). The scales derived for each component had high internal consistency (Cronbach's alphas >0.7), indicating statistical appropriateness for developing scales. Respondents generally scored highly for ‘Guidelines compliance’ and ‘Self-efficacy’. The lowest levels of positive scores were in relation to the items within the ‘Influences on practice’ component, with particular focus on TDF domains, environmental context and resources, and social influences. Inferential analysis comparing component scores across demographic characteristics showed that doctors, the more qualified and those with greater experience, were more likely to be positive in responses. Conclusions: This study has identified that environmental context and resources, and social influences, with an emphasis on pharmacists and early career clinicians, may be useful targets for behaviour change interventions to improve clinicians' antimicrobial prescribing, thereby reducing antimicrobial resistance rates. Such interventions should focus on appropriate linked behaviour-change techniques.

Objectives This study aimed to explore behavioural determinants of homeless patients' adherence to prescribed medicines using Theoretical Domains Framework (TDF). Study design A qualitative study using semi-structured, face-to-face interviews. Methods Participants were recruited from a homelessness primary healthcare centre in Aberdeen, United Kingdom (UK). Face-to-face interviews were audio-recorded and transcribed verbatim. Thematic analysis of the interview data was conducted using the Framework Approach based on the Theoretical Domains Framework. National Health Service ethical and Research and Development (R&D) approval was obtained. Results Twenty-five patients were interviewed, at which point data saturation was achieved. A total of 13 out of 14 Theoretical Domains Framework domains were identified that explained the determinants of adherence or non-adherence to prescribed medicines. These included: beliefs about consequences (e.g. non-adherence leading to poor health); goals of therapy (e.g. being a normal person with particular reference to methadone adherence); and environmental context and resources (e.g. stolen medicines and the lack of secure storage). Obtaining food and shelter was higher priority than access and adherence to prescribed medicines while being homeless. Conclusions Behavioural determinants of non-adherence identified in this study were mostly related to participants' homelessness and associated lifestyle. Results are relevant to developing behaviour change interventions targeting non-adherent homeless patients and to the education of healthcare professionals serving this vulnerable population.

Aim: To identify and quantify potential determinants of antimicrobial prescribing behaviour, using the Theoretical Domains Framework (TDF). Methods: A cross-sectional survey involving doctors (∼4000) and pharmacists (∼400) working within Hamad Medical Corporation (HMC), Qatar. An online questionnaire, developed with reference to the TDF, included: personal and practice demographics, and Likert statements on potential determinants of antimicrobial prescribing practice. Analysis included principal component analysis (PCA), descriptive and inferential statistics. Results: In total, 535 responses were received, 339 (63.4%) from doctors. Respondents were predominantly male, 346 (64.7%). Just over half (N = 285, 53.3%) had ≤5 years' experience. PCA showed a three-component (C) solution: ‘Guidelines compliance’ (C1), ‘Influences on practice’ (C2) and ‘Self-efficacy’ (C3). The scales derived for each component had high internal consistency (Cronbach's alphas >0.7), indicating statistical appropriateness for developing scales. Respondents generally scored highly for ‘Guidelines compliance’ and ‘Self-efficacy’. The lowest levels of positive scores were in relation to the items within the ‘Influences on practice’ component, with particular focus on TDF domains, environmental context and resources, and social influences. Inferential analysis comparing component scores across demographic characteristics showed that doctors, the more qualified and those with greater experience, were more likely to be positive in responses. Conclusions: This study has identified that environmental context and resources, and social influences, with an emphasis on pharmacists and early career clinicians, may be useful targets for behaviour change interventions to improve clinicians' antimicrobial prescribing, thereby reducing antimicrobial resistance rates. Such interventions should focus on appropriate linked behaviour-change techniques.

Objectives This study aimed to explore behavioural determinants of homeless patients' adherence to prescribed medicines using Theoretical Domains Framework (TDF). Study design A qualitative study using semi-structured, face-to-face interviews. Methods Participants were recruited from a homelessness primary healthcare centre in Aberdeen, United Kingdom (UK). Face-to-face interviews were audio-recorded and transcribed verbatim. Thematic analysis of the interview data was conducted using the Framework Approach based on the Theoretical Domains Framework. National Health Service ethical and Research and Development (R&D) approval was obtained. Results Twenty-five patients were interviewed, at which point data saturation was achieved. A total of 13 out of 14 Theoretical Domains Framework domains were identified that explained the determinants of adherence or non-adherence to prescribed medicines. These included: beliefs about consequences (e.g. non-adherence leading to poor health); goals of therapy (e.g. being a normal person with particular reference to methadone adherence); and environmental context and resources (e.g. stolen medicines and the lack of secure storage). Obtaining food and shelter was higher priority than access and adherence to prescribed medicines while being homeless. Conclusions Behavioural determinants of non-adherence identified in this study were mostly related to participants' homelessness and associated lifestyle. Results are relevant to developing behaviour change interventions targeting non-adherent homeless patients and to the education of healthcare professionals serving this vulnerable population.