American Journal of Medical Quality最新文献_第6页

Reducing Diabetic Ketoacidosis Readmissions with a Hospital-School-Based Improvement Partnership. 以医院-学校为基础的改善伙伴关系降低糖尿病酮症酸中毒再入院率。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-03-01 DOI: 10.1097/JMQ.0000000000000115

Zoe M King, Jordan E Kurzum, Mary Reich Cooper, Patrick C Hanley

引用次数: 0

Increasing Influenza Vaccinations Within the Emergency Department of a Veterans Affairs Medical Center. 在退伍军人医疗中心急诊部增加流感疫苗接种。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-03-01 DOI: 10.1097/JMQ.0000000000000109

Christopher Blazy, Andrew Siler, Chana Engelman, Paul Kim

引用次数: 0

Building a Just Culture through Transforming our Response to Adverse Events. 通过改革我们对不良事件的应对措施，建立一种公正的文化。

IF 1 4区医学

American Journal of Medical Quality Pub Date : 2023-03-01 Epub Date: 2023-02-06 DOI: 10.1097/JMQ.0000000000000108

Peter B Smulowitz, Jeanne McCoy, Bert Thurlo-Walsh

引用次数: 0

Medical Student Quality Assurance Projects Well Received by Students and Physicians Across New Jersey Family Medicine Practices. 医学生质量保证项目受到新泽西州家庭医学实践的学生和医生的好评。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-03-01 DOI: 10.1097/JMQ.0000000000000114

Christine Ramdin, Bianca Dube, Steven Keller

引用次数: 0

Looking Ahead to the Future of ACMQ. 展望ACMQ的未来。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000101

Dan M Westphal

引用次数: 0

Delay in Time to Antibiotics for De Novo Inpatient Neutropenic Fever May Not Impact Overall Survival for Patients With a Cancer Diagnosis. 对于新发住院患者中性粒细胞减少热延迟使用抗生素可能不会影响癌症诊断患者的总生存期。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000093

Jordan Villars, Christopher A Gardner, Tingting Zhan, Adam F Binder

引用次数: 0

Vax the Max, a Gamification Intervention for COVID-19 Vaccination Task Engagement in the Inpatient Setting. Vax the Max:住院患者参与COVID-19疫苗接种任务的游戏化干预

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000094

A Vincent Raikhel, Kevin Blau, Katherine Alberty, Paul Cornia, Rudolph A Rodriguez, Kenneth P Steinberg, Chenwei Wu

{"title":"Vax the Max, a Gamification Intervention for COVID-19 Vaccination Task Engagement in the Inpatient Setting.","authors":"A Vincent Raikhel, Kevin Blau, Katherine Alberty, Paul Cornia, Rudolph A Rodriguez, Kenneth P Steinberg, Chenwei Wu","doi":"10.1097/JMQ.0000000000000094","DOIUrl":"https://doi.org/10.1097/JMQ.0000000000000094","url":null,"abstract":"The development of vaccines for SARS-CoV-2 has offered game-changing protection from severe disease and death from COVID-19. Despite efforts to vaccinate individuals in the ambulatory setting, a sizable minority of the US population remains unvaccinated for COVID-19. For unvaccinated patients, hospitalization for non-COVID-19 illness offers another opportunity for vaccination. In the summer of 2021, the authors noted that COVID-19 vaccination rate for medicine inpatients at their hospital had fallen to 5.3 vaccine doses administered per 4-week block. In response, they created Vax the Max, a gamification program of COVID-19 vaccination tasks where internal medicine resident teams were awarded points for completing these tasks. Residents were anonymously surveyed after participation. The hospital demonstrated higher rates of administering the initial COVID-19 vaccine dose and completing the vaccine series in the inpatient setting per 4-week plan-do-study-act cycle after implementation of Vax the Max (5.3 versus 8.8 doses per plan-do-study-act cycle). Among residents, 76.8% reported that Vax the Max spurred their COVID-19 task engagement, and 66% reported that a similar gamification model could be utilized for a different clinical task in the future. An increase was observed in the COVID-19 vaccination rate for medicine inpatients after launching the Vax the Max competition. This occurred in the setting of resident turnover every 4 weeks, which normally makes practice sustainment more challenging. Despite this, a high degree of engagement was produced by itinerant residents. There is potential to explore similar gamification approaches involving resident physicians in areas of quality improvement and patient safety.","PeriodicalId":7539,"journal":{"name":"American Journal of Medical Quality","volume":"38 1","pages":"47-56"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797123/pdf/jmq-38-47.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10556503","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

Preventing Opioid-Related Toxicity at a Regional VA Medical Center: A Resident-Led Interprofessional Quality Improvement Project. 在地区退伍军人医疗中心预防阿片类药物相关毒性:一项由住院医生领导的跨专业质量改进项目。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000100

Kathie Zhang, Jeremy Zhang, Tommy Robinson, Michael C Sauer, Sarah Van Dorin, Lauren Zabel, Yvonne De Sloover Koch, Matthew D Soltys

引用次数: 0

The Methodology of the Virtual Clinic in Cardiac Surgery in the Era of COVID-19: Adapting to the Future. 新冠肺炎时代心脏外科虚拟诊所的方法学:适应未来

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000097

Jake L Rosen, Colin C Yost, T Sloane Guy

{"title":"The Methodology of the Virtual Clinic in Cardiac Surgery in the Era of COVID-19: Adapting to the Future.","authors":"Jake L Rosen, Colin C Yost, T Sloane Guy","doi":"10.1097/JMQ.0000000000000097","DOIUrl":"https://doi.org/10.1097/JMQ.0000000000000097","url":null,"abstract":"The COVID-19 pandemic forever altered health care delivery models by necessitating expanded use of telehealth technology. While the implementation of telemedicine has been widely discussed among other specialties, cardiac surgery lacks robust literature regarding the use of telehealth in pre- and postoperative care. At our institution, we have implemented a comprehensive telehealth clinic in response to limitations on in-person visits at the start of the COVID-19 pandemic. We seek to share this methodology in the hopes that it can assist other institutions in providing care to those with barriers to in-person visits. In response to restrictions on in-person contact for those seeking medical care during the COVID-19 pandemic, telemedicine/telehealth was introduced and accelerated to allow remote access to health care. Early reports from the pandemic studying the feasi-bility and adaptability of telemedicine revealed that patients were quick to adapt and satisfied with their experience. 1–3 Mann et al showed that after the intro-duction of telehealth across the New York University Langone Health system, telehealth visits increased at a rate of 683% within 6 weeks. Physicians also noted that the transition to telehealth was important in how they delivered care and overcame potential barriers. 4 Within the realm of surgery, telemedicine has played a pivotal role in amplifying patient care. 5 A virtual clinic can optimize efficiency given increased variation in patients’ preference for visit modality (i.e., virtual, in-person, hybrid). This said, some surgical subspecialties have been slow to adopt telehealth, with surgeons citing the inability to perform a comprehensive examination within the visit as a primary barrier to quality care. 5,6 In cardiac surgery, scarce literature has been published on the processes required for an effective telemedicine visit in clinic","PeriodicalId":7539,"journal":{"name":"American Journal of Medical Quality","volume":"38 1","pages":"63-65"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797116/pdf/jmq-38-63.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10016472","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

Natural Language Processing CAM Algorithm Improves Delirium Detection Compared With Conventional Methods. 与传统方法相比，自然语言处理CAM算法提高了谵妄检测。

IF 1.4 4区医学

American Journal of Medical Quality Pub Date : 2023-01-01 DOI: 10.1097/JMQ.0000000000000090

Sandeep R Pagali, Rakesh Kumar, Sunyang Fu, Sunghwan Sohn, Mohammed Yousufuddin

{"title":"Natural Language Processing CAM Algorithm Improves Delirium Detection Compared With Conventional Methods.","authors":"Sandeep R Pagali, Rakesh Kumar, Sunyang Fu, Sunghwan Sohn, Mohammed Yousufuddin","doi":"10.1097/JMQ.0000000000000090","DOIUrl":"https://doi.org/10.1097/JMQ.0000000000000090","url":null,"abstract":"Delirium is known to be underdiagnosed and underdocumented. Delirium detection in retrospective studies occurs mostly by clinician diagnosis or nursing documentation. This study aims to assess the effectiveness of natural language processing-confusion assessment method (NLP-CAM) algorithm when compared to conventional modalities of delirium detection. A multicenter retrospective study analyzed 4351 COVID-19 hospitalized patient records to identify delirium occurrence utilizing three different delirium detection modalities namely clinician diagnosis, nursing documentation, and the NLP-CAM algorithm. Delirium detection by any of the 3 methods is considered positive for delirium occurrence as a comparison. NLP-CAM captured 80% of overall delirium, followed by clinician diagnosis at 55%, and nursing flowsheet documentation at 43%. Increase in age, Charlson comorbidity score, and length of hospitalization had increased delirium detection odds regardless of the detection method. Artificial intelligence-based NLP-CAM algorithm, compared to conventional methods, improved delirium detection from electronic health records and holds promise in delirium diagnostics.","PeriodicalId":7539,"journal":{"name":"American Journal of Medical Quality","volume":"38 1","pages":"17-22"},"PeriodicalIF":1.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10072613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3