AI Thematic Analysis of UTI Treatment Decisions

According to the November 11, 2026 PLOS One study, antibiotic-sparing management of uncomplicated urinary tract infections is shaped by clinical factors, patient expectations, trust, workload, practice staff, and community pharmacy relationships. The study shows why qualitative analysis of UTI treatment decisions must examine the broader care pathway rather than the prescribing decision alone.

• The study conducted 15 virtual semi-structured interviews with general practitioners in Switzerland between June 10 and July 17, 2025.
• The PLOS One researchers identified six themes covering prescribing thresholds, patient relationships, practical constraints, practice staff, professional autonomy, and pharmacy-based care.
• The interviewed GPs had a mean age of 46.6 years, 53.3% were female, and their general-practice experience ranged from 5 to 25 years.
• The interviews lasted a mean of 44 minutes, with a range of 32 to 54 minutes, and no substantively new relevant content emerged after 15 interviews.
• The study found that antibiotic-sparing intentions were often conditional because symptom duration, patient expectations, time pressure, access to reassessment, and trust changed the treatment context.

The November 11, 2026 PLOS One study found that GPs viewed antibiotic-sparing UTI management as a negotiated, context-dependent process rather than a simple prescribing choice. The researchers interviewed GPs who regularly managed uncomplicated UTIs in otherwise healthy, non-pregnant women aged 18 to 64 years.

The researchers transcribed the interviews verbatim and used thematic analysis supported by MAXQDA. The analysis combined deductive coding based on the interview domains with inductive codes developed from the interview material, followed by iterative refinement of cross-cutting themes.

The study identified six themes. GPs described different thresholds for prescribing antibiotics, patient trust as both a facilitator and constraint, workload and timing as practical influences, practice staff as contributors to triage and counselling, disagreement about professional autonomy, and limited visibility into pharmacy-based care.

One GP quoted in the PLOS One study summarized the implementation gap by saying, "the antibiotic-sparing approach is actually the approach of choice in our practice" but "aspiration and reality are very far apart." Another GP explained the importance of trust: "If I already know her, I feel that the trust is there; she will come back if it does not get better."

The authors reported that the underlying interview transcripts were not publicly released because detailed qualitative data could permit deductive identification of participants despite pseudonymisation. That limitation makes transparent coding procedures, audit trails, and careful interpretation especially important for researchers using the findings.

Healthcare qualitative researchers should analyze treatment decisions across people, settings, and workflow stages because the PLOS One study found that UTI care extended beyond the GP consultation. A transcript-only view of prescribing can miss how reception staff, medical assistants, pharmacists, patient expectations, and weekend access shape the final decision.

• Researchers should distinguish clinical triggers from relational factors, because the study linked prescribing thresholds to symptom burden, duration, trust, and patient expectations.
• Researchers should code operational conditions separately from attitudes, because the study found that workload, public holidays, travel, and access to reassessment influenced delayed or immediate prescribing.
• Researchers should compare professional perspectives, because the study found that GPs had different views about practice-staff autonomy and pharmacy-led care.
• Researchers should preserve contradictory accounts, because the study reported both support for expanded roles and concerns about training, responsibility, medical history, and clinical experience.
• Researchers should connect themes to the care pathway, because the study concluded that antibiotic-sparing management depends on communication and role clarity across primary care.

The study also illustrates why manual analysis becomes difficult when researchers need to compare themes across roles, practices, or interview questions. AI can accelerate organization and retrieval, but researchers still need to validate codes, inspect quotations, document decisions, and avoid treating model-generated themes as clinical conclusions.

The November 11, 2026 PLOS One study shows that antibiotic-sparing UTI decisions are shaped by more than clinical symptoms or prescribing preferences. The six themes demonstrate the value of qualitative research for uncovering trust, workload, role boundaries, communication gaps, and uneven visibility across primary care.

AI thematic analysis can help healthcare research teams organize interview evidence, compare professional perspectives, and locate supporting quotations more efficiently. Researchers should combine AI assistance with transparent methods, human validation, reflexivity, and responsible data governance.

For teams analyzing interviews, open-ended responses, or healthcare documents, try Evidano for free and turn qualitative data into structured, reviewable insights.