Evidence map›Paper›PMID 42758430›Full record

ArticleInternational journal of clinical pharmacy2026

Exploring the factors influencing pharmacists' therapeutic reasoning in decision-making: a concurrent think aloud and semi-structured interview study.

Daniel Rainkie, Zachariah Nazar, Pim Teunissen, Karen Könings

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Article in International journal of clinical pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Daniel RainkieFaculty of Health, College of Pharmacy, Dalhousie University, 5968 College Street, PO Box 1500, Halifax, NS, B3H 4R2, Canada. daniel.rainkie@dal.ca.ORCID https://orcid.org/0000-0002-9744-1069
Zachariah NazarCollege of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-4104-4221
Pim TeunissenSchool of Health Professions Education, Maastricht University, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0002-0930-0048
Karen KöningsSchool of Health Professions Education, Maastricht University, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0003-0063-8218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionModels of therapeutic reasoning conceptualize how pharmacists apply knowledge to weigh the benefits and risks of treatment options for patients but provide limited detail on the specific factors considered during the process.

aimTo explore the factors that prescribing pharmacists consider during therapeutic reasoning when making treatment decisions and how those factors are structured hierarchically.

methodThis qualitative study explored the therapeutic reasoning of eight prescribing pharmacists as they worked through three primary care cases selected from hypertension, diabetes, heart failure and pediatric fever. Participants completed a think-aloud protocol to verbalize their thoughts in real time, a post-encounter form to promote reflection, and a semi-structured interview to clarify and elicit additional reasoning considerations. Data were audio-recorded, transcribed, and analyzed using template analysis. Each template iteration was critically reviewed by the research team with a detailed audit trail. Information power was reached at 18 cases (six pharmacists), with the remainder used for confirmation.

resultsWe identified 35 factors across five themes: treatment planning, evidence and experience, drug-related factors, patient-centered factors, and setting influences. Therapeutic reasoning typically started with treatment planning to list broad options available in context and rule out options based on contraindications, cost and coverage. The remaining tailored list of options were evaluated using a non-linear process informed by evidence and experience, drug-related factors, and patient-centered factors. Setting influences, such as external pressures, access to clinical decision support systems, or the preferences of other clinicians influenced how the pharmacist considered treatment options. In total, 11 factors were associated with ruling out options, while the remaining factors informed the relative ranking of viable alternatives. Two levels of reasoning were observed: generic reasoning (case-independent) which relied on knowledge alone and patient-specific reasoning where relevant knowledge was applied to the patient case. Dynamic prioritization was observed as factor importance varied by case.

conclusionThis study advances the conceptualization of therapeutic reasoning by specifying the factors and their functional roles within decision-making. These findings provide a practical foundation for teaching, assessing, and supporting structured clinical decision-making in pharmacy practice.

Indexed as

Clinical decision-makingEducation, pharmacyPharmacistsPrescribingTemplate analysisTherapeutic reasoningThink-aloud

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.