Family Medicine最新文献_第3页

Picture This: The Use of Visual Methods in Health Professions and Medical Education Research. 想象一下：视觉方法在卫生专业和医学教育研究中的应用。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.22454/FamMed.2026.405112

Monica L Molinaro

引用次数: 0

Strategies for Mixed-Methods Research in Health Professions Education Research. 卫生专业教育研究中的混合方法研究策略

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2025-12-02 DOI: 10.22454/FamMed.2025.787338

TingLan Ma, Alexis Battista

引用次数: 0

N-of-1 Trials in Family Medicine Education. 家庭医学教育的N-of-1试验。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.22454/FamMed.2025.850380

Diego Garcia-Huidobro, Martina Mookadam, Ping-Hsin Chen

引用次数: 0

Authors' Response to "Putting Propensity Score Matching to Good Use in Medical Education Research". 作者对“在医学教育研究中充分利用倾向得分匹配”的回应。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 DOI: 10.22454/FamMed.2026.482714

Genya Shimkin, Kimberly Kardonsky, Alisse Cassell, Amanda Kost, Lynn Oliver, Sharon Dobie, Samira Farah

引用次数: 0

Completing a Scoping Review. 完成范围审查。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2025-12-16 DOI: 10.22454/FamMed.2025.415442

Yohualli B Anaya, Leslie Christensen, Sarina Schrager

引用次数: 0

Validation of the Use of a Large Language Model for Detecting Sentiment in Student Course Evaluation. 大型语言模型在学生课程评价中情感检测的应用验证。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 DOI: 10.22454/FamMed.2026.142029

Kate Rowland, Ling Wang, Kirstie Bash, Lori DeShetler, Sarah Vick, Emma Nguyen, Michelle Rogers-Johnson, Lauren Anderson, Michelle Sweet, Kimberly Fasula, Stefanie Carter

{"title":"Validation of the Use of a Large Language Model for Detecting Sentiment in Student Course Evaluation.","authors":"Kate Rowland, Ling Wang, Kirstie Bash, Lori DeShetler, Sarah Vick, Emma Nguyen, Michelle Rogers-Johnson, Lauren Anderson, Michelle Sweet, Kimberly Fasula, Stefanie Carter","doi":"10.22454/FamMed.2026.142029","DOIUrl":"10.22454/FamMed.2026.142029","url":null,"abstract":"Background and objectives: The use of large language models and natural language processing (NLP) in medical education has expanded rapidly in recent years. Because of the documented risks of bias and errors, these artificial intelligence (AI) tools must be validated before being used for research or education. Traditional and novel conceptual frameworks can be used. This study aimed to validate the application of an NLP method, bidirectional encoder representations from transformers (BERT) model, to identify the presence and patterns of sentiment in end-of-course evaluations from M3 (medical school year 3) core clerkships at multiple institutions.Methods: We used the Patino framework, designed for the use of artificial intelligence in health professions education, as a guide for validating the NLP. Written comments from de-identified course evaluations at four schools were coded by teams of two human coders, and human-human interrater reliability statistics were calculated. Humans identified key terms to train the BERT model. The trained BERT model predicted the sentiments of a set of comments, and human-NLP interrater reliability statistics were calculated.Results: A total of 364 discrete comments were evaluated in the human phase. The range of positive (30.6%-61.0%), negative (4.9%-39.5%), neutral (9.8%-19.0%), and mixed (1.7%-27.5%) sentiments varied by school. Human-human and human-AI interrater reliability also varied by school. Human-human and human-AI reliability were comparable.Conclusions: Several conceptual frameworks offer models for validation of AI tools in health professions education. A BERT model, with training, can detect sentiment in medical student course evaluations with an interrater reliability similar to human coders.","PeriodicalId":50456,"journal":{"name":"Family Medicine","volume":"58 2","pages":"132-137"},"PeriodicalIF":1.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Social Network Analysis for Family Medicine Educators. 家庭医学教育工作者的社会网络分析

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.22454/FamMed.2026.796213

Bryce A Ringwald, Meghan Gilfoyle

引用次数: 0

Knowledge Syntheses in Medical Education. 医学教育中的知识综合

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.22454/FamMed.2026.196942

Lauren A Maggio

{"title":"Knowledge Syntheses in Medical Education.","authors":"Lauren A Maggio","doi":"10.22454/FamMed.2026.196942","DOIUrl":"10.22454/FamMed.2026.196942","url":null,"abstract":"Ideally, educators should use the best available evidence to make decisions about their practices as teachers, scholars, and policymakers. However, the rapid increase of scholarly literature in medical education poses a major challenge. Knowledge syntheses (aka reviews), which contextualize and integrate information into a single resource, have become essential tools for navigating this information overload. This article presents an overview of knowledge synthesis in medical education, starting by defining it and providing an overview of the general steps. It then examines four key types of syntheses: systematic reviews, scoping reviews, meta-reviews, and realist reviews, providing examples of each type and, when possible, pointing to reporting guidelines and resources for conducting the type. The article then addresses common methodological pitfalls, including inadequate time planning, limited collaboration with end-users, insufficiently actionable findings, and narrow search strategies. The article concludes by presenting emerging innovations, such as artificial intelligence-supported methodologies, living reviews, and alternative knowledge translation activities.","PeriodicalId":50456,"journal":{"name":"Family Medicine","volume":"58 2","pages":"105-111"},"PeriodicalIF":1.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969562/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cognition in the Clinic: The Case for Cognitive Ethnography in Family Medicine. 临床认知：家庭医学的认知民族志案例。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.22454/FamMed.2026.990944

Nathan Cupido, Nicole N Woods, Kulamakan Kulasegaram, Risa Freeman, Maria Mylopoulos

{"title":"Cognition in the Clinic: The Case for Cognitive Ethnography in Family Medicine.","authors":"Nathan Cupido, Nicole N Woods, Kulamakan Kulasegaram, Risa Freeman, Maria Mylopoulos","doi":"10.22454/FamMed.2026.990944","DOIUrl":"10.22454/FamMed.2026.990944","url":null,"abstract":"In family medicine, clinical reasoning often requires family physicians to provide patient care across a heterogeneity of clinical problems and a wide range of clinical contexts. The relationship between clinical reasoning and context has long been implicated in the medical education literature; however, traditional conceptualizations of clinical reasoning have focused on individual cognition and have positioned context as external to the process itself. More recently, clinical reasoning has been defined through the integration of knowledge and context. This emerging conceptualization requires research methodologies that place a greater emphasis on how this integration takes place in real-world practice settings. Despite this need, such methodologies remain underutilized and underexplained in the medical education literature. This article provides an overview of cognitive ethnography, a methodology that can explore the integration of knowledge and context in real-world settings. Using a case study of cognitive ethnography exploring adaptive expertise in family medicine, this article further shares an example of how to design and implement cognitive ethnography in family medicine research. A greater understanding of the realities of clinical reasoning in the family medicine context is crucial to support the ongoing research, training, and academic conversations in family medicine.","PeriodicalId":50456,"journal":{"name":"Family Medicine","volume":"58 2","pages":"138-144"},"PeriodicalIF":1.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introduction to Qualitative Methods: A Practical Primer for Clinicians. 定性方法导论：临床医生实用入门。

IF 1.7 4区医学

Family Medicine Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.22454/FamMed.2026.908110

Gemmae M Fix, Linda S Kahn, Andrea L Nevedal

{"title":"Introduction to Qualitative Methods: A Practical Primer for Clinicians.","authors":"Gemmae M Fix, Linda S Kahn, Andrea L Nevedal","doi":"10.22454/FamMed.2026.908110","DOIUrl":"10.22454/FamMed.2026.908110","url":null,"abstract":"Qualitative study designs provide critical insights into pressing health care problems by answering why, how, and what questions: Why do patients not adhere to medications? How do providers use guidelines? What clinic features contribute to quality of care? Qualitative methods often consist of interviews or focus groups but also can include observations or archival data. These methods elucidate patient and provider experiences, behaviors, or beliefs; describe phenomena; and provide rich insights into local contexts. While family medicine has long acknowledged the value of qualitative research, clinicians and medical educators may have limited exposure. Our objectives are to (a) orient clinicians to qualitative research, and (b) guide them through the stages of qualitative study design, from planning, to data collection, to analyses, on through dissemination of a final product. We describe the tenets of qualitative inquiry: an insider perspective, holism, attention to power dynamics, reflexivity, and flexibility. We explain how to choose among qualitative data collection methods, such as interviews, focus groups, observation, and archival data review. Lastly, we provide key considerations for analyzing qualitative data, disseminating final product(s), and maximizing methodological quality. This practical guide for clinicians gives a grand tour of the overall purpose of and approaches to qualitative study designs and offers considerations when using qualitative methods in research and quality improvement studies.","PeriodicalId":50456,"journal":{"name":"Family Medicine","volume":"58 2","pages":"88-97"},"PeriodicalIF":1.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12969576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0