Evidence map›Paper›PMID 40375114›Full record

ArticleAntimicrobial resistance and infection control2025

Between heuristic and deliberative thinking: a multi-center qualitative study of physicians' decision-making in infection prevention practice.

Miriam Schutte, Mireille Dekker, Jonne Sikkens, Rosa van Mansfeld

Abstract readMulticenter Study
In one paragraph

Article in Antimicrobial resistance and infection control, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Miriam SchutteDepartment of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands. m.schutte3@amsterdamumc.nl.
Mireille DekkerAmsterdam Public Health Research Institute, Quality of Care, Amsterdam, The Netherlands.
Jonne SikkensAmsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands.
Rosa van MansfeldDepartment of Medical Microbiology and Infection Prevention, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApplication of standard infection prevention and control (IPC) measures is crucial to prevent hospital-acquired infections, but compliance by physicians is suboptimal. Interventions aimed to improve compliance are often generic and lack sustained effects. A better understanding of physicians' trade-offs regarding application of IPC and influences on their behavior is needed to develop effective behavior change interventions. We aimed to understand physicians' decision-making processes around application of IPC and the factors that influence their behavior.

methodsThis qualitative study involved semi-structured interviews with 18 physicians and 7 nurses from five different hospitals in the Netherlands. Reflexive thematic analysis involved inductive coding followed by deductive analysis using mechanisms of action, including the Theoretical Domains Framework, that link to behavior change techniques.

resultsWe found heterogeneity in physicians' approaches to decision-making around application of IPC. Some physicians relied on heuristics, while others applied logical reasoning. The latter group made an autonomous assessment of the risks for infection associated with a situation and traded off the costs and benefits of IPC application. The decision was further influenced by personal beliefs about the value of IPC and a supporting physical and social environment. Eighteen out of 26 mechanisms of action underlying the influences on IPC behavior were matched to our results; most important are "memory, attention and decision processes", "behavioral cueing", "beliefs about consequences", "values", "norms", "social influences", "social learning/imitation" and "environmental context and resources". These findings suggest that interventions are most likely to be beneficial if these focus on developing heuristics, changing risk beliefs, using social norms and imitation and generating a supportive environment.

conclusionThe heterogeneity in physicians' decision-making and autonomous risk assessment which is different from other healthcare professionals calls for tailored interventions targeting heuristic decision making, personal beliefs, social norms and the environmental context.

Indexed as

Cross InfectionDecision MakingHeuristicsInfection ControlPhysiciansAdultAttitude of Health PersonnelFemaleHumansInterviews as TopicMaleMiddle AgedNetherlandsQualitative ResearchBehaviorDecision-makingInfection preventionInterviewsPhysiciansTheoretical domains framework

Identifiers

PMID40375114
PMCPMC12082995

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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.