Annals of Family Medicine最新文献_第8页

Transforming Faculty Evaluations in the CBME Era with ACGME Clinician Educator Milestones. 在 CBME 时代，通过 ACGME 临床教育工作者里程碑改革教员评估。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3158

Kelsie Kelly, Grace Chen Yu, Raj Woolever

引用次数: 0

New Resources Help Programs Transition to Competency-Based Medical Education (CBME). 新资源帮助计划过渡到基于能力的医学教育 (CBME)。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3154

Mary Theobald

引用次数: 0

Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop. 开发一种人工智能工具，用于推导初级保健患者的健康社会决定因素：代码设计研讨会的定性研究结果。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3117

Stephanie Garies, Simon Liang, Karen Weyman, Noor Ramji, Mo Alhaj, Andrew D Pinto

{"title":"Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop.","authors":"Stephanie Garies, Simon Liang, Karen Weyman, Noor Ramji, Mo Alhaj, Andrew D Pinto","doi":"10.1370/afm.3117","DOIUrl":"10.1370/afm.3117","url":null,"abstract":"Purpose: Information about social determinants of health (SDOH) is essential for primary care clinicians in the delivery of equitable, comprehensive care, as well as for program planning and resource allocation. SDOH are rarely captured consistently in clinical settings, however. Artificial intelligence (AI) could potentially fill these data gaps, but it needs to be designed collaboratively and thoughtfully. We report on a codesign process with primary care clinicians to understand how an AI tool could be developed, implemented, and used in practice.Methods: We conducted semistructured, 50-minute workshops with a large urban family health team in Toronto, Ontario, Canada asking their feedback on a proposed AI-based tool used to derive patient SDOH from electronic health record data. An inductive thematic analysis was used to describe participants' perspectives regarding the implementation and use of the proposed tool.Results: Fifteen participants contributed across 4 workshops. Most patient SDOH information was not available or was difficult to find in their electronic health record. Discussions focused on 3 areas related to the implementation and use of an AI tool to derive social data: people, process, and technology. Participants recommended starting with 1 or 2 social determinants (income and housing were suggested as priorities) and emphasized the need for adequate resources, staff, and training materials. They noted many challenges, including how to discuss the use of AI with patients and how to confirm their social needs identified by the AI tool.Conclusions: Our codesign experience provides guidance from end users on the appropriate and meaningful design and implementation of an AI-based tool for social data in primary care.","PeriodicalId":50973,"journal":{"name":"Annals of Family Medicine","volume":"22 4","pages":"317-324"},"PeriodicalIF":4.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11268682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141749615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19. 在 COVID-19 期间，初级保健中断和远程保健使用的不成比例影响。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3134

Zachary J Morgan, Andrew W Bazemore, Lars E Peterson, Robert L Phillips, Mingliang Dai

{"title":"The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19.","authors":"Zachary J Morgan, Andrew W Bazemore, Lars E Peterson, Robert L Phillips, Mingliang Dai","doi":"10.1370/afm.3134","DOIUrl":"10.1370/afm.3134","url":null,"abstract":"Purpose: The COVID-19 pandemic not only exacerbated existing disparities in health care in general but likely worsened disparities in access to primary care. Our objective was to quantify the nationwide decrease in primary care visits and increase in telehealth utilization during the pandemic and explore whether certain groups of patients were disproportionately affected.Methods: We used a geographically diverse primary care electronic health record data set to examine the following 3 outcomes: (1) change in total visit volume, (2) change in in-person visit volume, and (3) the telehealth conversion ratio defined as the number of pandemic telehealth visits divided by the total number of prepandemic visits. We assessed whether these outcomes were associated with patient characteristics including age, gender, race, ethnicity, comorbidities, rurality, and area-level social deprivation.Results: Our primary sample included 1,652,871 patients from 408 practices. During the pandemic we observed decreases of 7% and 17% in total and in-person visit volume and a 10% telehealth conversion ratio. The greatest decreases in visit volume were observed among pediatric patients (-24%), Asian patients (-11%), and those with more comorbidities (-9%). Telehealth usage was greatest among Hispanic or Latino patients (17%) and those living in urban areas (12%).Conclusions: Decreases in primary care visit volume were partially offset by increasing telehealth use for all patients during the COVID-19 pandemic, but the magnitude of these changes varied significantly across all patient characteristics. These variations have implications not only for the long-term consequences of the COVID-19 pandemic, but also for planners seeking to ready the primary care delivery system for any future systematic disruptions.","PeriodicalId":50973,"journal":{"name":"Annals of Family Medicine","volume":"22 4","pages":"294-300"},"PeriodicalIF":4.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11268690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141749588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Making the Future of Family Medicine Brighter by Breaking it First…. 开创全科医学的美好未来....

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3156

Colleen T Fogarty, Scott M Strayer, Richard W Lord, David A Baltierra, Paul A Jame, Timothy Hoff

引用次数: 0

Testing a New Care Model: Implementing a Virtual Driving Assessment in Primary Care. 测试新的护理模式：在初级保健中实施虚拟驾驶评估。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3138

Shannon Kelleher, Maura Powell, Alexander K Gonzalez, Shukai Cheng, Nicole Koepke, Elizabeth A Walshe, Jamillah Millner, Joshua C Fischer, Colleen M Schlotter, Flaura K Winston, Alexander G Fiks

引用次数: 0

What Are Doctors For? A Call for Compassion-Based Metrics as a Measure of Physician Value. 医生为了什么？呼吁将基于同情心的指标作为衡量医生价值的标准。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3132

Timothy Aaron Zeller, Parker A Rhoden, Catherine Florio Pipas

引用次数: 0

Advancing the Science of Family Medicine. 推动全科医学科学的发展。

IF 4.4 2区医学

Annals of Family Medicine Pub Date : 2024-07-01 DOI: 10.1370/afm.3159

Jon Salsberg

引用次数: 0

Correction. 更正。