Introduction: Patient-physician interviewing skills are crucial in health service delivery. It is necessary for effective care and treatment that the physician initiates the interview with the patient, takes anamnesis, collects the required information, and ends the consultation. Different methods are used to improve patient-physician interview skills before encountering actual patients. In the absence of simulated patients, peer simulation is an alternative method for carrying out the training. This study aims to show whether patient-physician interview skills training can be implemented using peer simulation in the absence of the simulated patient.
Methods: This is a descriptive quantitative study. This research was conducted in six stages: identification of the research problem and determination of the research question, development of data collection tools, planning, acting, evaluation, and monitoring. The data were collected via the patient-physician interview videos of the students. The research team performed descriptive analysis on quantitative data and thematic analysis on qualitative data.
Results: Fifty students participated in the study. When performing peer-assisted simulation applications in the absence of simulated patients, the success rate in patient-physician interviews and peer-simulated patient roles was over 88%. Although the students were less satisfied with playing the peer-simulated patient role, the satisfaction towards the application was between 77.33% and 98%.
Discussion And Conclusion: In patient-physician interviews, the peer-simulated patient method is an effective learning approach. There may be difficulties finding suitable simulated patients, training them, budgeting to cover the costs, planning, organizing the interviews, and solving potential issues during interviews. Our study offers an affordable solution for students to earn patient-physician interview skills in faculties facing difficulties with providing simulated patients for training.
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http://dx.doi.org/10.1080/10872981.2022.2045670 | DOI Listing |
BJGP Open
January 2025
Primary Care Research Unit, Department of Family Medicine, Dalhousie University, Halifax, Canada
Background: The practice choices of family medicine residents and early career family physicians shape access to primary care. A growing proportion of family physicians are women.
Aim: This study examined how gender operates in shaping family physician practice choices and subsequent practice patterns.
Z Evid Fortbild Qual Gesundhwes
January 2025
Institut für Medizinmanagement und Gesundheitswissenschaften (IMG) der Universität Bayreuth, Bayreuth, Deutschland.
Introduction: Unmet health care needs are seen as a key indicator of equity in access to health care. With younger people, they can lead to poorer health outcomes in adulthood, and in older people they can be associated with an increased risk of mortality. The presence of a disability is considered a risk factor for unmet needs.
View Article and Find Full Text PDFSome scholars have suggested that social and cultural barriers between physicians and patients might contribute to health disparities. The purpose of this review was to determine the state of evidence regarding how physician communication patterns differ by patient ethnicity. Seventy-nine studies employing a range of methodologies were identified.
View Article and Find Full Text PDFCureus
December 2024
College of Nursing, University of Manitoba, Winnipeg, CAN.
Background The proportion of older people in the general population is rising. Accompanying this rise is an increased prevalence of frailty. Frailty is a syndrome of increased vulnerability to stressors due to decreased physiological reserve and is linked to increased health services use.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Background: Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions.
Objective: A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT).
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