Knowledge and attitude factors influencing primary care clinicians’ diagnosis, treatment, and management of urinary tract infections in England: A qualitative ‘think-aloud’ study

Authorea (Authorea)(2023)

Cited 0|Views4
No score
Abstract
Objectives: To identify knowledge and attitude factors influencing primary care clinician decision-making in diagnosing, managing, and treating urinary tract infections. Design: A qualitative think-aloud study. Methods: Semi-structured qualitative interviews were conducted with primary care clinicians in England over Microsoft Teams. Interviews were transcribed and coded in two ways. First, clinicians’ responses for each scenario were coded as either following (optimal) or not following (suboptimal) evidence-based national guidelines. Second, the knowledge and attitude factors that influenced decision-making were coded according to an empirically-informed umbrella framework. Clinicians external to the study team reviewed the findings to promote their trustworthiness and utility. Setting: English primary care clinicians with the right to prescribe medications in England. Sample: Ten clinicians with prescribing rights in primary care took part. Results: Despite clinicians’ expressing high awareness of relevant evidence-based guidelines (a knowledge factor) and high confidence (an attitude factor), more than half of their decisions were suboptimal in some way. Our framework analysis suggests that knowledge could impede adherence, e.g., where local guidelines conflicted with national guidelines. Conclusions: Suboptimal prescribing decisions could result from a combination of different knowledge and attitude factors. Most clinicians relied on their experiential knowledge rather than using evidence-based guidelines. To optimise antibiotic prescribing, policy-level interventions could increase concordance across local and national guidelines, or more tailored individual-level interventions could help clinicians recognize where their experiential knowledge causes deviations from evidence-based guidelines when diagnosing, treating, and managing urinary tract infections.
More
Translated text
Key words
urinary tract infections,primary care clinicians,primary care,think-aloud
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined