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Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study. 日本医学生诊断错误教育与识别频率的相关性:一项全国性的横断面研究。
IF 2.2
Diagnosis Pub Date : 2023-10-09 eCollection Date: 2024-05-01 DOI: 10.1515/dx-2023-0105
Taiju Miyagami, Takashi Watari, Yuji Nishizaki, Taro Shimizu, Yasuharu Tokuda
{"title":"Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study.","authors":"Taiju Miyagami, Takashi Watari, Yuji Nishizaki, Taro Shimizu, Yasuharu Tokuda","doi":"10.1515/dx-2023-0105","DOIUrl":"10.1515/dx-2023-0105","url":null,"abstract":"<p><strong>Objectives: </strong>Diagnostic errors pose a significant risk to patient safety and have substantial medical and economic consequences. Despite their importance, diagnostic error education is currently lacking in standard pre-graduate curricula. This study aimed to investigate the incidence of diagnostic errors and the frequency of recognition among medical students in Japan.</p><p><strong>Methods: </strong>A pilot survey was conducted immediately after the General Medicine In-Training Examination (GM-ITE), a comprehensive post-graduation test, administered to new residents right after graduation from medical school. The survey assessed whether they received education on diagnostic errors during their formal undergraduate medical education and whether they recognized diagnostic errors during their clinical training.</p><p><strong>Results: </strong>Of the 564 examinees, 421 participated in the study. The majority of participants (63.9 %) reported receiving education on diagnostic errors, and 15.7 % recognized diagnostic errors during their clinical training. Significantly, those who received education on diagnostic errors had a higher rate of recognizing such errors compared to those who did not (19.7 vs. 8.6 %; p=0.0017).</p><p><strong>Conclusions: </strong>These findings suggest that the recognition rate of diagnostic errors increases with improved literacy in diagnostic error education. This highlights the importance of incorporating diagnostic error education into medical curricula to develop effective strategies to prevent and manage diagnostic errors, and thereby enhance medical and patient safety. However, this study did not examine the specific educational content of the errors or the details of the recognition, necessitating further investigation in the future.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"192-194"},"PeriodicalIF":2.2,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41178260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preferred language and diagnostic errors in the pediatric emergency department. 儿科急诊科的首选语言和诊断错误。
IF 3.5
Diagnosis Pub Date : 2023-10-06 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0079
Jeremiah T Lowe, Jan Leonard, Fidelity Dominguez, Kaitlin Widmer, Sara J Deakyne Davies, Alexandria J Wiersma, Marcela Mendenhall, Joseph A Grubenhoff
{"title":"Preferred language and diagnostic errors in the pediatric emergency department.","authors":"Jeremiah T Lowe, Jan Leonard, Fidelity Dominguez, Kaitlin Widmer, Sara J Deakyne Davies, Alexandria J Wiersma, Marcela Mendenhall, Joseph A Grubenhoff","doi":"10.1515/dx-2023-0079","DOIUrl":"10.1515/dx-2023-0079","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the relationship between language and diagnostic errors (DxE) in the pediatric emergency department (ED).</p><p><strong>Methods: </strong>Electronic trigger identified ED encounters resulting in unplanned hospital admission that occurred within 10 days of an index visit from January 2018 through February 2022. Manual screening of each triggered encounter identified cases where the index visit diagnosis and hospitalization discharge diagnosis differed, and these were screened in for review using the Revised Safer Dx instrument to determine if a diagnostic error (DxE) occurred. Non-English primary language (NEPL) and English-proficient (EP) groups were established based on caregiver language. The primary outcome was the proportion of DxE each group. Data were analyzed using univariate analysis and multivariable logistic regression to identify independent predictors of DxE.</p><p><strong>Results: </strong>Electronic trigger identified 3,551 patients, of which 806 (22.7 %) screened in for Safer Dx review. 172 (21.3 %) experienced DxE. The proportion of DxE was similar between EP and NEPL groups (21.5 vs. 21.7 %; p=0.97). Age≥12 years and fewer prior admissions in the preceding 6 months predicted higher odds of DxE. NEPL did not predict higher odds of DxE.</p><p><strong>Conclusions: </strong>NEPL was not associated with increased odds DxE resulting in unplanned admission.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"49-53"},"PeriodicalIF":3.5,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41157160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The PRIDx framework to engage payers in reducing diagnostic errors in healthcare. PRIDx框架使支付方参与减少医疗保健中的诊断错误。
IF 3.5
Diagnosis Pub Date : 2023-10-05 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0042
Kisha J Ali, Christine A Goeschel, Derek M DeLia, Leah M Blackall, Hardeep Singh
{"title":"The PRIDx framework to engage payers in reducing diagnostic errors in healthcare.","authors":"Kisha J Ali, Christine A Goeschel, Derek M DeLia, Leah M Blackall, Hardeep Singh","doi":"10.1515/dx-2023-0042","DOIUrl":"10.1515/dx-2023-0042","url":null,"abstract":"<p><strong>Objectives: </strong>No framework currently exists to guide how payers and providers can collaboratively develop and implement incentives to improve diagnostic safety. We conducted a literature review and interviews with subject matter experts to develop a multi-component 'Payer Relationships for Improving Diagnoses (PRIDx)' framework, that could be used to engage payers in diagnostic safety efforts.</p><p><strong>Content: </strong>The PRIDx framework, 1) conceptualizes diagnostic safety links to care provision, 2) illustrates ways to promote payer and provider engagement in the design and adoption of accountability mechanisms, and 3) explicates the use of data analytics. Certain approaches suggested by PRIDx were refined by subject matter expert interviewee perspectives.</p><p><strong>Summary: </strong>The PRIDx framework can catalyze public and private payers to take specific actions to improve diagnostic safety.</p><p><strong>Outlook: </strong>Implementation of the PRIDx framework requires new types of partnerships, including external support from public and private payer organizations, and requires creation of strong provider incentives without undermining providers' sense of professionalism and autonomy. PRIDx could help facilitate collaborative payer-provider approaches to improve diagnostic safety and generate research concepts, policy ideas, and potential innovations for engaging payers in diagnostic safety improvement activities.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"17-24"},"PeriodicalIF":3.5,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41120880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review. 用于适当诊断成像的决策支持系统的特征和功能:范围界定综述。
IF 3.5
Diagnosis Pub Date : 2023-10-05 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0083
Fatemeh Rahimi, Reza Rabiei, Amir Saied Seddighi, Arash Roshanpoor, Afsoun Seddighi, Hamid Moghaddasi
{"title":"Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review.","authors":"Fatemeh Rahimi, Reza Rabiei, Amir Saied Seddighi, Arash Roshanpoor, Afsoun Seddighi, Hamid Moghaddasi","doi":"10.1515/dx-2023-0083","DOIUrl":"10.1515/dx-2023-0083","url":null,"abstract":"<p><strong>Background: </strong>Diagnostic imaging decision support (DI-DS) systems could be effective tools for reducing inappropriate diagnostic imaging examinations. Since effective design and evaluation of these systems requires in-depth understanding of their features and functions, the present study aims to map the existing literature on DI-DS systems to identify features and functions of these systems.</p><p><strong>Methods: </strong>The search was performed using Scopus, Embase, PubMed, Web of Science, and Cochrane Central Registry of Controlled Trials (CENTRAL) and was limited to 2000 to 2021. Analytical studies, descriptive studies, reviews and book chapters that explicitly addressed the functions or features of DI-DS systems were included.</p><p><strong>Results: </strong>A total of 6,046 studies were identified. Out of these, 55 studies met the inclusion criteria. From these, 22 functions and 22 features were identified. Some of the identified features were: visibility, content chunking/grouping, deployed as a multidisciplinary program, clinically valid and relevant feedback, embedding current evidence, and targeted recommendations. And, some of the identified functions were: displaying an appropriateness score, recommending alternative or more appropriate imaging examination(s), providing recommendations for next diagnostic steps, and providing safety alerts.</p><p><strong>Conclusions: </strong>The set of features and functions obtained in the present study can provide a basis for developing well-designed DI-DS systems, which could help to improve adherence to diagnostic imaging guidelines, minimize unnecessary costs, and improve the outcome of care through appropriate diagnosis and on-time care delivery.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"4-16"},"PeriodicalIF":3.5,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41119219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Error codes at autopsy to study potential biases in diagnostic error. 尸检中的错误代码,用于研究诊断错误中的潜在偏差。
IF 3.5
Diagnosis Pub Date : 2023-10-05 eCollection Date: 2023-11-01 DOI: 10.1515/dx-2023-0010
Bruce I Goldman, Rajnish Bharadwaj, Michelle Fuller, Tanzy Love, Leon Metlay, Caroline Dignan
{"title":"Error codes at autopsy to study potential biases in diagnostic error.","authors":"Bruce I Goldman, Rajnish Bharadwaj, Michelle Fuller, Tanzy Love, Leon Metlay, Caroline Dignan","doi":"10.1515/dx-2023-0010","DOIUrl":"10.1515/dx-2023-0010","url":null,"abstract":"<p><strong>Objectives: </strong>Current autopsy practice guidelines do not provide a mechanism to identify potential causes of diagnostic error (DE). We used our autopsy data registry to ask if gender or race were related to the frequency of diagnostic error found at autopsy.</p><p><strong>Methods: </strong>Our autopsy reports include International Classification of Diseases (ICD) 9 or ICD 10 diagnostic codes for major diagnoses as well as codes that identify types of error. From 2012 to mid-2015 only 2 codes were used: UNDOC (major undocumented diagnoses) and UNCON (major unconfirmed diagnoses). Major diagnoses contributed to death or would have been treated if known. Since mid-2015, codes included specific diagnoses, i.e. undiagnosed or unconfirmed myocardial infarction, infection, pulmonary thromboembolism, malignancy, or other diagnosis as well as cause of death. Adult autopsy cases from 2012 to 2019 were assessed for DE associated with reported sex or race (nonwhite or white). 528 cases were evaluated between 2012 and 2015 and 699 between 2015 and 2019.</p><p><strong>Results: </strong>Major DEs were identified at autopsy in 65.9 % of cases from 2012 to 2015 and in 72.1 % from 2015 to 2019. From 2012 to 2015, female autopsy cases showed a greater frequency in 4 parameters of DE, i.e., in the total number of cases with any error (p=0.0001), in the number of cases with UNDOC errors (p=0.0038) or UNCON errors (p=0.0006), and in the relative proportions of total numbers of errors (p=0.0001). From 2015 to 2019 undocumented malignancy was greater among males (p=0.0065); no other sex-related error was identified. In the same period some DE parameters were greater among nonwhite than among white subjects, including unconfirmed cause of death (p=0.035), and proportion of total error diagnoses (p=0.0003), UNCON diagnoses (p=0.0093), and UNDOC diagnoses (p=0.035).</p><p><strong>Conclusions: </strong>Coding for DE at autopsy can identify potential effects of biases on diagnostic error.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"375-382"},"PeriodicalIF":3.5,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41116189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide. 使用Chat Generative预训练Transformer增强临床推理:实用指南。
IF 3.5
Diagnosis Pub Date : 2023-10-03 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0116
Takanobu Hirosawa, Taro Shimizu
{"title":"Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide.","authors":"Takanobu Hirosawa, Taro Shimizu","doi":"10.1515/dx-2023-0116","DOIUrl":"10.1515/dx-2023-0116","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to elucidate effective methodologies for utilizing the generative artificial intelligence (AI) system, namely the Chat Generative Pre-trained Transformer (ChatGPT), in improving clinical reasoning abilities among clinicians.</p><p><strong>Methods: </strong>We conducted a comprehensive exploration of the capabilities of ChatGPT, emphasizing two main areas: (1) efficient utilization of ChatGPT, with a focus on application and language selection, input methodology, and output verification; and (2) specific strategies to bolster clinical reasoning using ChatGPT, including self-learning via simulated clinical case creation and engagement with published case reports.</p><p><strong>Results: </strong>Effective AI-based clinical reasoning development requires a clear delineation of both system roles and user needs. All outputs from the system necessitate rigorous verification against credible medical resources. When used in self-learning scenarios, capabilities of ChatGPT in clinical case creation notably enhanced disease comprehension.</p><p><strong>Conclusions: </strong>The efficient use of generative AIs, as exemplified by ChatGPT, can impressively enhance clinical reasoning among medical professionals. Adopting these cutting-edge tools promises a bright future for continuous advancements in clinicians' diagnostic skills, heralding a transformative era in digital healthcare.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"102-105"},"PeriodicalIF":3.5,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41118516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How do patients and care partners describe diagnostic uncertainty in an emergency department or urgent care setting? 患者和护理伙伴如何描述急诊科或紧急护理环境中的诊断不确定性?
IF 3.5
Diagnosis Pub Date : 2023-09-26 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0085
Athena P DeGennaro, Natalia Gonzalez, Susan Peterson, Kelly T Gleason
{"title":"How do patients and care partners describe diagnostic uncertainty in an emergency department or urgent care setting?","authors":"Athena P DeGennaro, Natalia Gonzalez, Susan Peterson, Kelly T Gleason","doi":"10.1515/dx-2023-0085","DOIUrl":"10.1515/dx-2023-0085","url":null,"abstract":"<p><strong>Objectives: </strong>Little is known about how patients perceive diagnostic uncertainty. We sought to understand how patients and care partners perceive uncertainty in an emergency or urgent care setting, where making a final diagnosis is often not possible.</p><p><strong>Methods: </strong>We administered a survey to a nationally representative panel on patient-reported diagnostic excellence in an emergency department or urgent care setting. The survey included items specific to perceived diagnostic excellence, visit characteristics, and demographics. We analyzed responses to two open-ended questions among those who reported uncertainty in the explanation they were given. Themes were identified using an inductive approach, and compared by whether respondents agreed or disagreed the explanation they were given was true.</p><p><strong>Results: </strong>Of the 1,116 respondents, 106 (10 %) reported that the care team was not certain in the explanation of their health problem. Five themes were identified in the open-ended responses: poor communication (73 %), uncertainty made transparent (10 %), incorrect information provided (9 %), inadequate testing equipment (4 %), and unable to determine (4 %). Of the respondents who reported uncertainty, 21 % (n=22/106) reported the explanation of their problem given was not true.</p><p><strong>Conclusions: </strong>The findings of this analysis suggest that the majority of patients and their care partners do not equate uncertainty with a wrong explanation of their health problem, and that poor communication was the most commonly cited reason for perceived uncertainty.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"97-101"},"PeriodicalIF":3.5,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41157159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Routine blood test markers for predicting liver disease post HBV infection: precision pathology and pattern recognition. 预测HBV感染后肝病的血常规标志物:精确病理学和模式识别。
IF 3.5
Diagnosis Pub Date : 2023-09-20 eCollection Date: 2023-11-01 DOI: 10.1515/dx-2023-0078
Busayo I Ajuwon, Katrina Roper, Alice Richardson, Brett A Lidbury
{"title":"Routine blood test markers for predicting liver disease post HBV infection: precision pathology and pattern recognition.","authors":"Busayo I Ajuwon, Katrina Roper, Alice Richardson, Brett A Lidbury","doi":"10.1515/dx-2023-0078","DOIUrl":"10.1515/dx-2023-0078","url":null,"abstract":"<p><strong>Background: </strong>Early stages of hepatitis B virus (HBV) infection usually involve inflammation of the liver. Patients with chronic infection have an increased risk of progressive liver fibrosis, cirrhosis, and life-threatening clinical complications of end-stage hepatocellular carcinoma (HCC).</p><p><strong>Content: </strong>Early diagnosis of hepatic fibrosis and timely clinical management are critical to controlling disease progression and decreasing the burden of end-stage liver cancer. Fibrosis staging, through its current gold standard, liver biopsy, improves patient outcomes, but the clinical procedure is invasive with unpleasant post-procedural complications. Routine blood test markers offer promising diagnostic potential for early detection of liver disease without biopsy. There is a plethora of candidate routine blood test markers that have gone through phases of biomarker validation and have shown great promise, but their current limitations include a predictive ability that is limited to only a few stages of fibrosis. However, the advent of machine learning, notably pattern recognition, presents an opportunity to refine blood-based non-invasive models of hepatic fibrosis in the future.</p><p><strong>Summary: </strong>In this review, we highlight the current landscape of routine blood-based non-invasive models of hepatic fibrosis, and appraise the potential application of machine learning (pattern recognition) algorithms to refining these models and optimising clinical predictions of HBV-associated liver disease.</p><p><strong>Outlook: </strong>Machine learning via pattern recognition algorithms takes data analytics to a new realm, and offers the opportunity for enhanced multi-marker fibrosis stage prediction using pathology profile that leverages information across patient routine blood tests.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"337-347"},"PeriodicalIF":3.5,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41126315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study. 昼夜温度变化及其对诊断和传染病筛查的影响:一项基于人群的研究。
IF 3.5
Diagnosis Pub Date : 2023-09-13 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0074
Aaron C Miller, Scott H Koeneman, Manish Suneja, Joseph E Cavanaugh, Philip M Polgreen
{"title":"Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study.","authors":"Aaron C Miller, Scott H Koeneman, Manish Suneja, Joseph E Cavanaugh, Philip M Polgreen","doi":"10.1515/dx-2023-0074","DOIUrl":"10.1515/dx-2023-0074","url":null,"abstract":"<p><strong>Objectives: </strong>Fevers have been used as a marker of disease for hundreds of years and are frequently used for disease screening. However, body temperature varies over the course of a day and across individual characteristics; such variation may limit the detection of febrile episodes complicating the diagnostic process. Our objective was to describe individual variation in diurnal temperature patterns during episodes of febrile activity using millions of recorded temperatures and evaluate the probability of recording a fever by sex and for different age groups.</p><p><strong>Methods: </strong>We use timestamped deidentified temperature readings from thermometers across the US to construct illness episodes where continuous periods of activity in a single user included a febrile reading. We model the mean temperature recorded and probability of registering a fever across the course of a day using sinusoidal regression models while accounting for user age and sex. We then estimate the probability of recording a fever by time of day for children, working-age adults, and older adults.</p><p><strong>Results: </strong>We find wide variation in body temperatures over the course of a day and across individual characteristics. The diurnal temperature pattern differed between men and women, and average temperatures declined for older age groups. The likelihood of detecting a fever varied widely by the time of day and by an individual's age or sex.</p><p><strong>Conclusions: </strong>Time of day and demographics should be considered when using body temperatures for diagnostic or screening purposes. Our results demonstrate the importance of follow-up thermometry readings if infectious diseases are suspected.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"54-62"},"PeriodicalIF":3.5,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11005884/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10564632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Medical history-taking by highlighting the time course: PODCAST approach. 通过突出时间过程来采集病史:PODCAST 方法。
IF 3.5
Diagnosis Pub Date : 2023-09-08 eCollection Date: 2024-02-01 DOI: 10.1515/dx-2023-0101
Takahiro Kobayashi, Yosuke Ono
{"title":"Medical history-taking by highlighting the time course: PODCAST approach.","authors":"Takahiro Kobayashi, Yosuke Ono","doi":"10.1515/dx-2023-0101","DOIUrl":"10.1515/dx-2023-0101","url":null,"abstract":"","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":"109-111"},"PeriodicalIF":3.5,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10184411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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