AI Qualitative Analysis in Healthcare: UTI Research

The General practitioners’ perspectives on treatment decisions and interprofessional care for women with uncomplicated urinary tract infections: An exploratory qualitative study, published in PLoS ONE on November 11, 2026, found that antibiotic-sparing UTI care is shaped by clinical judgment, patient expectations, trust, workload, practice staff, and community pharmacy relationships.

The study analyzed 15 virtual GP interviews conducted between June 10 and July 17, 2025, and generated six themes that extended beyond the individual prescribing decision.

• According to the November 11, 2026 PLoS ONE study, 15 GPs participated, with a mean age of 46.6 years and 53.3% identifying as female.
• According to the PLoS ONE study, interviews lasted a mean of 44 minutes, with a range of 32 to 54 minutes.
• According to the PLoS ONE study, the analysis identified six themes covering prescribing thresholds, trust and expectations, practical constraints, practice staff, professional autonomy, and pharmacy-based care.
• According to the PLoS ONE study, interviews were transcribed verbatim and analyzed thematically using deductive and inductive coding.
• According to the PLoS ONE study, clearer roles, appropriate training, and feasible communication structures may support more coordinated antibiotic-sparing care.

The November 11, 2026 PLoS ONE study found that GPs treated antibiotic-sparing management as a conditional and negotiated process rather than a simple prescribing choice.

The study reported that most participating GPs had experience with symptomatic treatment, delayed prescribing, or backup prescriptions, but prescribing thresholds differed according to symptom duration, severity, diagnostic findings, patient expectations, trust, and practical circumstances.

One GP described the implementation gap directly: "By now, the antibiotic-sparing approach is actually the approach of choice in our practice, the approach that we largely follow, and the approach that we try to convey to our younger colleagues in teaching. However, it is still often the case that aspiration and reality are very far apart." The November 11, 2026 PLoS ONE study attributed this quotation to GP10.

The PLoS ONE researchers identified six themes through an analysis that combined a predefined interview framework with inductive codes developed from the interview material. The researchers refined the coding framework across the dataset and revisited coded material to identify cross-cutting patterns and divergent accounts.

The study also found that care extended beyond the GP consultation. Practice staff influenced triage, urine testing, telephone advice, counselling, and care pathways, while pharmacy-based care was often only partly visible to GPs.

The study's authors reported an important implementation concern: "What’s needed is a consensus among physicians and a shift in societal thinking." The quotation came from GP9 in the PLoS ONE study and points to the role of consistent communication across healthcare professionals.

Healthcare qualitative researchers should analyze treatment decisions as pathway-level phenomena when interviews reveal influences outside the consultation itself.

The November 11, 2026 PLoS ONE study shows why a single code such as "antibiotic decision" may be too broad: the underlying accounts included symptoms, patient expectations, trust, workload, safety-netting, staff autonomy, and pharmacy communication.

• According to the PLoS ONE study, researchers should separate clinical triggers from relational and organizational triggers when analyzing treatment decisions.
• According to the PLoS ONE study, cross-segment analysis can compare how GPs describe practice assistants, advanced practice nurses, pharmacists, and patients.
• According to the PLoS ONE study, contradictory accounts are analytically important because GPs differed on the appropriate degree of professional autonomy and information exchange.
• According to the PLoS ONE study, researchers should preserve quotations and transcript context because short statements about workload or trust can explain why intended care differs from routine care.

The study's limitation also matters for interpretation: the sample included 15 teaching GPs affiliated with the University of Zurich, so the findings provide exploratory insight rather than a statistically representative estimate of all GPs.

For clinical and public-health teams, this evidence supports a research workflow that makes themes traceable to source passages, compares professional groups, and identifies where communication or training may influence implementation. This analysis is non-diagnostic and should not be used to make individual treatment decisions.

The November 11, 2026 PLoS ONE study demonstrates that antibiotic-sparing UTI care is shaped by more than a prescribing decision: it includes trust, patient expectations, workload, practice staff, professional autonomy, and pharmacy communication.

AI qualitative analysis in healthcare can help research teams turn these interconnected accounts into traceable themes, frequency patterns, and cross-segment comparisons while preserving the source context needed for responsible interpretation.

Evidano provides a practical environment for analyzing interview transcripts, healthcare documents, and open-ended responses with qualitative research workflows designed for human review. Try Evidano for free and explore how AI can support your next healthcare research project.