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Breaking ICD Codes: Identifying Ambiguous Respiratory Infection Codes via Regional Diagnosis Heterogeneity.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.3192
Marcin Piotr Walkowiak, Dariusz Walkowiak, Jarosław Walkowiak

Purpose: We aimed to analyze regional variations in the assignment of International Classification of Diseases, 10th Revision (ICD-10) codes to acute respiratory infections, seeking to identify notable anomalies that suggest diverse diagnoses of the same condition.

Methods: We analyzed national weekly diagnosis data for acute respiratory infections (ICD-10 codes J00-J22) in Poland from 2010 to 2019, covering all 380 county-equivalent administrative regions and encompassing 292 million consultations. Data were aggregated into age brackets. We calculated the Kendall tau correlations between shares of particular diagnoses.

Results: We found staggering differences across regions in applied diagnoses that persisted even after disaggregating the data into age groups. The differences did not seem to stem from different levels of health care use, as there was no consistent pattern suggesting variability in milder diagnoses. Instead, there were numerous pairs of strongly negatively correlated codes implying classification ambiguity, with the most problematic diagnosis being J06 (acute upper respiratory infections of multiple and unspecified sites), which was used almost interchangeably with a diverse range of others, especially J00 (common cold) and J20 (bronchitis).

Conclusions: To the best of our knowledge, this is the first study using observable anomalies to analyze regional coding variability for the same respiratory infection. Although some of these discrepancies may raise concerns about misdiagnosis, the majority of cases involving interchangeably used codes did not seem to substantially impact treatment or prognosis. This suggests that ICD codes may have clinical ambiguities and could face challenges not only in fulfilling their intended purpose of generating internationally comparable health data but also in their use for comprehensive government health planning.

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引用次数: 0
Affirmative Action-A Crack in the Door to Higher Education.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.230646
Billy Thomas

The impact of the Supreme Court of the United States ruling against race-conscious admissions extends beyond college admissions to professional schools. Based partially on the idea that enough time had elapsed for achievement of the stated goals of affirmative action, the court ruled race-conscious admissions are unconstitutional under the 14th Amendment's Equal Protection Clause. The ruling left a crack in the door to higher education, however, allowing students to write an essay showing how race or ethnicity affected their lives. But without guidelines or a standardized approach, admissions committee members' background, personal experiences, and biases could influence evaluations.Historically, Black Indigenous People of Color (BIPOC) have experienced residential segregation. Thus, they are products of poorly funded and understaffed K-12 schools. Grade point average and standardized tests scores are heavily weighted during the admissions process in higher education; however, these metrics largely reflect the attributes of K-12 schools and access to advanced placement and science, technology, engineering, math, and medicine (STEMM) courses. These courses are often lacking in schools with predominantly BIPOC students. We must continue to develop and support K-16 STEMM programs.Higher education institutions must respond to the Supreme Court ruling. Recruitment and retention strategies should encourage, guide, and support students who pursue health care careers. Enhanced admissions processes must include a standardized, unbiased approach in assessing personal essays and the lived experience. Admissions committees should complete implicit bias and cultural humility training. Support and allocation of funds must be provided to maintain training. Safeguards must ensure applicant and institutional legal compliance.

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引用次数: 0
Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression. 评估一种基于人工智能的语音生物标记工具,以检测与中度至重度抑郁症一致的信号。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240091
Alexa Mazur, Harrison Costantino, Prentice Tom, Michael P Wilson, Ronald G Thompson

Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.

Methods: We performed a cross-sectional study from February 1, 2021 to July 31, 2022 to examine ≥25 seconds of free-form speech content from English-speaking samples captured from 14,898 unique adults in the United States and Canada. Participants were recruited via social media, provided informed consent, and their voice biomarker results were compared with a self-reported Patient Health Questionnaire-9 (PHQ-9) at a cut-off score of 10 (moderate to severe depression).

Results: From as few as 25 seconds of free-form speech, machine learning technology was able to detect vocal characteristics consistent with an increased PHQ-9 ≥10, with a sensitivity of 71.3 (95% CI, 69.0-73.5) and a specificity of 73.5 (95% CI, 71.5-75.5).

Conclusions: Machine learning has potential utility in helping clinicians screen patients for moderate to severe depression. Further research is needed to measure the effectiveness of machine learning vocal detection and analysis technology in clinical deployment.

目的:美国预防服务工作组建议在有治疗方案的地区对所有患者进行心理健康筛查。尽管如此,据估计,只有4%的初级保健患者接受了抑郁症筛查。本研究的目的是评估机器学习技术(Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc)在检测和分析与中度至重度抑郁症一致的语音生物标志物方面的功效,从而有可能更好地满足这一关键的初级保健公共卫生需求。方法:我们从2021年2月1日至2022年7月31日进行了一项横断面研究,检查了从美国和加拿大的14,898名成年人中捕获的英语样本中≥25秒的自由形式言论内容。参与者通过社交媒体招募,提供知情同意,他们的语音生物标志物结果与自我报告的患者健康问卷-9 (PHQ-9)进行比较,分值为10分(中度至重度抑郁症)。结果:从25秒的自由语音中,机器学习技术能够检测到与PHQ-9≥10增加一致的声音特征,灵敏度为71.3 (95% CI, 69.0-73.5),特异性为73.5 (95% CI, 71.5-75.5)。结论:机器学习在帮助临床医生筛选中度至重度抑郁症患者方面具有潜在的效用。机器学习语音检测分析技术在临床应用中的有效性有待进一步研究。
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引用次数: 0
Reducing Stigma Through Conversations in Primary Care About Unhealthy Alcohol Use.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240384
Dawn Bishop, Darla Parsons, Gabriela Villalobos, Jennifer Bannon, Michelle Rockwell, Alex Krist, Daniel E Jonas, Melinda M Davis, Sean Riley, Leslie Brouwer, Theresa Walunas, Abel Kho, Hildie Cohen, Tracy McPherson, Amy Rosenfeld, Elizabeth Flanagan
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引用次数: 0
For AI in Primary Care, Start With the Problem. 初级保健中的人工智能,从问题开始。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240504
John Thomas Menchaca
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引用次数: 0
Evaluation of a Program Designed to Support Implementation of Prescribing Medication for Treatment of Opioid Use Disorder in Primary Care Practices. 旨在支持在初级保健实践中治疗阿片类药物使用障碍的处方药物实施方案的评估。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.3190
Tristen L Hall, David Mendez, Chelsea Sobczak, Susan Mathieu, Kimberly Wiggins, Kathy Cebuhar, Lauren Quintana, Jacob Weiss, Kyle Knierim

Purpose: Offering medication for opioid use disorder (MOUD) in primary care can increase access to effective opioid use disorder treatment and help address the US opioid crisis. We describe a primary care office-based opioid treatment program and addiction consultation service model designed to support small, rural clinics to increase their capacity for MOUD.

Methods: This is an evaluation of an intervention to increase clinic capacity to offer MOUD. The intervention consists of a standardized curriculum, addiction medicine consultants, practice facilitation, and financial incentives. Fifteen Colorado primary care practices participated from January 2022 through January 2023. Primary outcomes included overall change in the number of active buprenorphine prescriptions and implementation of MOUD milestones before and after the intervention.

Results: The mean number of active buprenorphine prescriptions in the 3 months preceding the intervention (baseline) increased from 2.1 (SD = 7.7) to 11.3 (SD = 11.2) at 13 months. Adjusted means from the Poisson model demonstrated significant improvement over time (P <.001). Mean implementation of MOUD milestones ranged from 23% to 40% at baseline and grew to 84% to 93% by the end of the program (P <.001).

Conclusions: This model supported primary care practices that were initially doing little to no MOUD prescribing, to prescribe at significantly higher levels by the end of the program. This scalable model for addiction consultation in primary care settings illustrates how education and support to clinical teams can help practices makes changes, especially those with limited MOUD experience.

目的:在基层医疗机构提供阿片类药物使用障碍(MOUD)药物治疗可增加阿片类药物使用障碍的有效治疗途径,有助于解决美国的阿片类药物危机。我们介绍了一种以基层医疗机构为基础的阿片类药物治疗项目和成瘾咨询服务模式,该模式旨在支持农村小型诊所提高阿片类药物使用障碍的治疗能力:这是对一项旨在提高诊所提供阿片类药物治疗能力的干预措施的评估。干预措施包括标准化课程、成瘾医学顾问、实践促进和经济激励。从 2022 年 1 月到 2023 年 1 月,科罗拉多州的 15 家初级保健诊所参与了该项目。主要结果包括丁丙诺啡有效处方数量的总体变化以及干预前后 MOUD 阶段性目标的实施情况:干预前 3 个月(基线)的有效丁丙诺啡处方平均数量从 2.1(标准差 = 7.7)增加到 13 个月时的 11.3(标准差 = 11.2)。泊松模型的调整平均值显示,随着时间的推移,情况有了显著改善(P P 结论:该模型支持初级保健实践:该模式支持最初几乎不开具 MOUD 处方的初级保健实践,在项目结束时,处方水平明显提高。这种可扩展的初级医疗机构成瘾咨询模式说明了对临床团队的教育和支持如何帮助医疗机构做出改变,尤其是那些 MOUD 经验有限的医疗机构。
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引用次数: 0
Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors. 人工智能在家庭医学出版物中的应用:期刊编辑的联合社论。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240575
Sarina Schrager, Dean A Seehusen, Sumi Sexton, Caroline R Richardson, Jon Neher, Nicholas Pimlott, Marjorie A Bowman, José Rodríguez, Christopher P Morley, Li Li, James Dom Dera
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引用次数: 0
Impact of Financial Incentives and Department Size on Scholarly Activity Output.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240061
Dominique D Munroe, Jose Villalon-Gomez, Dean A Seehusen, Miranda A Moore

Purpose: Family medicine research is essential to improving population health. It has the unique ability to answer questions about health care outcomes and use those insights to impact communities. Increasing research capacity continues to be a challenge; however, recent literature has touted the success of incentivization in several academic medicine specialties. We used the 2022 CERA annual Family Medicine Department Chair survey to characterize the amount and type of scholarly activities by institutional financial incentive status (yes or no) and type (flat vs variable amount), to investigate the relationship between financial incentives and scholarly output.

Methods: Questions included targeted demographic variables, institutional incentives, and family medicine department scholarly output. Summary statistics and logistical regression analyses were conducted.

Results: The overall survey response rate was 47.1% (106/225). Respondents reported financial incentives were allowed at 41 (38.7%) of 106 institutions. Of these, 19 (17.9%) reported clinical faculty received cash-based incentives, while 34 (32.1%) received noncash-based incentives for engaging in scholarly activity. The main barriers to offering financial incentives were institutional budget constraints and department culture or tradition. Financial incentives were not statistically associated with scholarly output; however, faculty size was statistically significant for giving more than 6 presentations (adjusted odds ratio = 0.20; 95% CI, 0.054-0.739).

Conclusions: Institutions aiming to increase their family medicine department scholarly productivity might benefit from focusing resources on increasing their faculty size such as adding consultants, statistical analysts, grant writers, or other research staff.

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引用次数: 0
AAFP Will Always be an Agent of Truth.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.240600
Jen Brull
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引用次数: 0
Interviews to Assess a Peer Health Navigator Service for People Who Are Transgender or Gender Diverse.
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2025-01-27 DOI: 10.1370/afm.3191
Emily Gulka, Gwen Rose, Michelle C McCarron, Mel Reid, Megan Clark, Stéphanie J Madill

Purpose: People who are transgender or gender diverse (PTGD) often experience difficulties navigating the health care system due to a variety of factors such as lack of knowledgeable and/or culturally competent clinicians, discrimination, and structural and/or socioeconomic barriers. We sought to determine whether a peer health navigator service in the Canadian province of Saskatchewan helped connect transgender and gender-diverse clients and health care practitioners (HCPs) to resources, and how this service changed their health care experiences.

Methods: Semistructured interviews were conducted with 9 clients and 9 HCPs. Interview transcripts were then analyzed by researchers using an interpretative phenomenological approach, with qualitative data analysis software.

Results: The most prevalent theme that emerged from interview data, from both clients and HCPs, was support for the navigators' work and a desire that the service should continue. It was reinforced by 3 subthemes: the importance that the navigators were PTGD, the ability of the navigators to connect people to services and reliable sources of information, and their skill in directly supporting clients. A fourth subtheme, primarily found among clients, was the navigators' ability to provide connections to affirming mental health care.

Conclusions: Clients and HCPs alike emphasized that the navigator's lived experience was invaluable and allowed them to empathize with PTGD and provide support. Furthermore, the navigators acted as a direct connection to health care services, which helped improve access for clients. Our findings underscore the need for navigator positions to become permanent within the provincial health system to improve the health care experiences of PTGD in Saskatchewan.

目的:变性人或性别多元化者(PTGD)往往会因为各种因素而在医疗保健系统中遇到困难,这些因素包括缺乏知识渊博和/或具有文化能力的临床医生、歧视以及结构性和/或社会经济障碍。我们试图确定加拿大萨斯喀彻温省的同伴健康导航员服务是否有助于将跨性别和性别多元化客户与医疗保健从业人员(HCPs)与资源联系起来,以及这项服务如何改变了他们的医疗保健体验:方法:对 9 名客户和 9 名医护人员进行了半结构化访谈。然后,研究人员使用定性数据分析软件,采用解释现象学方法对访谈记录进行了分析:从客户和保健医生的访谈数据中发现,最普遍的主题是对导航员工作的支持以及希望这项服务能够继续下去。以下三个次主题强化了这一主题:领航员是 PTGD 的重要性、领航员将人们与服务和可靠信息来源联系起来的能力以及他们直接支持客户的技能。第四个次主题主要是在客户中发现的,即领航员有能力提供与肯定性心理健康护理的联系:客户和保健医生都强调,导航员的生活经验非常宝贵,使他们能够对 PTGD 产生共鸣并提供支持。此外,导航员还起到了直接联系医疗保健服务的作用,这有助于改善客户获得医疗保健服务的机会。我们的研究结果表明,有必要在省级医疗系统中设立永久性的导航员职位,以改善萨斯喀彻温省 PTGD 的医疗保健体验。
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引用次数: 0
期刊
Annals of Family Medicine
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