Trial reportHuman factors2011
Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis.
Trial report in Human factors, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 55 citations in OpenAlex.
- Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis.JMIR human factors · 2023Article
- Article
- Automatic Classification of Screen Gaze and Dialogue in Doctor-Patient-Computer Interactions: Computational Ethnography Algorithm Development and Validation.Journal of medical Internet research · 2021Article
- Improving Patient Experience by Teaching Empathic Touch and Eye Gaze: A Randomized Controlled Trial of Medical Students.Journal of patient experience · 2020Article
- Sequential Analysis of Livestock Herding Dog and Sheep Interactions.Animals : an open access journal from MDPI · 2020Article
- Evaluating Pharmacy Student Consultations with Standardized Patients on Opioid Medication Use and Opioid-Specific Risks.American journal of pharmaceutical education · 2019Article
- Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Laboratory Simulation Study.IISE transactions on occupational ergonomics and human factors · 2018Article
- Designing Patient-facing Health Information Technologies for the Outpatient Settings: A Literature Review.Journal of innovation in health informatics · 2016Review
- The myth of standardized workflow in primary care.Journal of the American Medical Informatics Association : JAMIA · 2016Observational
- Quantitative ethnographic study of physician workflow and interactions with electronic health record systems.International journal of industrial ergonomics · 2015Article
- How physician electronic health record screen sharing affects patient and doctor non-verbal communication in primary care.Patient education and counseling · 2015Article
- More screen time, less face time - implications for EHR design.Journal of evaluation in clinical practice · 2014Article
- Electronic Health Records (EHRs) in the oncology clinic: how clinician interaction with EHRs can improve communication with the patient.Journal of oncology practice · 2014Article
- Dynamic modeling of patient and physician eye gaze to understand the effects of electronic health records on doctor-patient communication and attention.International journal of medical informatics · 2014Article
- Using video-based observation research methods in primary care health encounters to evaluate complex interactions.Informatics in primary care · 2014Review
- Dynamic Comparison of Physicians' Interaction Style with Electronic Health Records in Primary Care Settings.Journal of general practice (Los Angeles, Calif.) · 2013Article
- Article
- Physician Interactions with Electronic Health Records in Primary Care.Health systems (Basingstoke, England) · 2012Article
- Considering social ergonomics: the effects of HIT on interpersonal relationships between patients and clinicians.Work (Reading, Mass.) · 2012Article
- Technology-mediated information sharing between patients and clinicians in primary care encounters.Behaviour & information technologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe aim of this study was to examine whether lag sequential analysis could be used to describe eye gaze orientation between clinicians and patients in the medical encounter. This topic is particularly important as new technologies are implemented into multiuser health care settings in which trust is critical and nonverbal cues are integral to achieving trust. This analysis method could lead to design guidelines for technologies and more effective assessments of interventions.
backgroundNonverbal communication patterns are important aspects of clinician-patient interactions and may affect patient outcomes.
methodThe eye gaze behaviors of clinicians and patients in 110 videotaped medical encounters were analyzed using the lag sequential method to identify significant behavior sequences. Lag sequential analysis included both event-based lag and time-based lag.
resultsResults from event-based lag analysis showed that the patient's gaze followed that of the clinician, whereas the clinician's gaze did not follow the patient's. Time-based sequential analysis showed that responses from the patient usually occurred within 2 s after the initial behavior of the clinician.
conclusionOur data suggest that the clinician's gaze significantly affects the medical encounter but that the converse is not true. APPLICATION: Findings from this research have implications for the design of clinical work systems and modeling interactions. Similar research methods could be used to identify different behavior patterns in clinical settings (physical layout, technology, etc.) to facilitate and evaluate clinical work system designs.
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What OpenQuestion holds
Registered trials
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.