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1.
BMC Health Serv Res ; 24(1): 701, 2024 Jun 03.
Article En | MEDLINE | ID: mdl-38831298

BACKGROUND: Artificial intelligence (AI) technologies are expected to "revolutionise" healthcare. However, despite their promises, their integration within healthcare organisations and systems remains limited. The objective of this study is to explore and understand the systemic challenges and implications of their integration in a leading Canadian academic hospital. METHODS: Semi-structured interviews were conducted with 29 stakeholders concerned by the integration of a large set of AI technologies within the organisation (e.g., managers, clinicians, researchers, patients, technology providers). Data were collected and analysed using the Non-Adoption, Abandonment, Scale-up, Spread, Sustainability (NASSS) framework. RESULTS: Among enabling factors and conditions, our findings highlight: a supportive organisational culture and leadership leading to a coherent organisational innovation narrative; mutual trust and transparent communication between senior management and frontline teams; the presence of champions, translators, and boundary spanners for AI able to build bridges and trust; and the capacity to attract technical and clinical talents and expertise. Constraints and barriers include: contrasting definitions of the value of AI technologies and ways to measure such value; lack of real-life and context-based evidence; varying patients' digital and health literacy capacities; misalignments between organisational dynamics, clinical and administrative processes, infrastructures, and AI technologies; lack of funding mechanisms covering the implementation, adaptation, and expertise required; challenges arising from practice change, new expertise development, and professional identities; lack of official professional, reimbursement, and insurance guidelines; lack of pre- and post-market approval legal and governance frameworks; diversity of the business and financing models for AI technologies; and misalignments between investors' priorities and the needs and expectations of healthcare organisations and systems. CONCLUSION: Thanks to the multidimensional NASSS framework, this study provides original insights and a detailed learning base for analysing AI technologies in healthcare from a thorough socio-technical perspective. Our findings highlight the importance of considering the complexity characterising healthcare organisations and systems in current efforts to introduce AI technologies within clinical routines. This study adds to the existing literature and can inform decision-making towards a judicious, responsible, and sustainable integration of these technologies in healthcare organisations and systems.


Artificial Intelligence , Qualitative Research , Humans , Canada , Interviews as Topic , Organizational Culture , Organizational Innovation , Leadership , Academic Medical Centers/organization & administration , Delivery of Health Care/organization & administration
3.
Front Public Health ; 12: 1380400, 2024.
Article En | MEDLINE | ID: mdl-38841663

Background: The healthcare sector is responsible for 7% of greenhouse gas (GHG) emissions in the Netherlands. However, this is not well understood on an organizational level. This research aimed to assess the carbon footprint of the Erasmus University Medical Center to identify the driving activities and sources. Methods: A hybrid approach was used, combining a life cycle impact assessment and expenditure-based method, to quantify the hospital's carbon footprint for 2021, according to scope 1 (direct emissions), 2 (indirect emissions from purchased energy), and 3 (rest of indirect emissions) of the GHG Protocol. Results were disaggregated by categories of purchased goods and services, medicines, specific product groups, and hospital departments. Results: The hospital emitted 209.5 kilotons of CO2-equivalent, with scope 3 (72.1%) as largest contributor, followed by scope 2 (23.1%) and scope 1 (4.8%). Scope 1 was primarily determined by stationary combustion and scope 2 by purchased electricity. Scope 3 was driven by purchased goods and services, of which medicines accounted for 41.6%. Other important categories were medical products, lab materials, prostheses and implants, and construction investment. Primary contributing departments were Pediatrics, Real Estate, Neurology, Hematology, and Information & Technology. Conclusion: This is the first hybrid analysis of the environmental impact of an academic hospital across all its activities and departments. It became evident that the footprint is mainly determined by the upstream effects in external supply chains. This research underlines the importance of carbon footprinting on an organizational level, to guide future sustainability strategies.


Carbon Footprint , Netherlands , Carbon Footprint/statistics & numerical data , Humans , Greenhouse Gases , Academic Medical Centers/statistics & numerical data
4.
Mo Med ; 121(2): 142-148, 2024.
Article En | MEDLINE | ID: mdl-38694605

The treatment of spinal pathologies has evolved significantly from the times of Hippocrates and Galen to the current era. This evolution has led to the development of cutting-edge technologies to improve surgical techniques and patient outcomes. The University of Missouri Health System is a high-volume, tertiary care academic medical center that serves a large catchment area in central Missouri and beyond. The Department of Neurosurgery has sought to integrate the best available technologies to serve their spine patients. These technological advancements include intra-operative image guidance, robotic spine surgery, minimally invasive techniques, motion preservation surgery, and interdisciplinary care of metastatic disease to the spine. These advances have resulted in safer surgeries with enhanced outcomes at the University of Missouri. This integration of innovation demonstrates our tireless commitment to ensuring excellence in the comprehensive care of a diverse range of patients with complex spinal pathologies.


Spinal Diseases , Humans , Missouri , Spinal Diseases/surgery , Academic Medical Centers/organization & administration , Minimally Invasive Surgical Procedures/methods , Neurosurgical Procedures/methods , Robotic Surgical Procedures/methods , Robotic Surgical Procedures/trends , Spine/surgery
6.
Sr Care Pharm ; 39(6): 218-227, 2024 Jun 01.
Article En | MEDLINE | ID: mdl-38803024

Background National guidelines no longer recommend adults 60 years of age and older to begin treatment with low-dose daily aspirin for primary prevention of atherosclerotic cardiovascular disease (CVD) due to a lack of proven net benefit and a higher risk of bleeding. Objective The objective of this cross-sectional retrospective analysis was to evaluate the appropriateness of low-dose aspirin prescribing and subsequent gastrointestinal bleeding in older persons receiving primary care in a large academic health system. Setting Large, academic health system within Colorado. Patients Patients with an active order for daily low-dose aspirin as of July 1, 2021, were assessed for appropriateness based on indication (primary vs secondary prevention) and use of a concomitant proton-pump inhibitor (PPI). Incident gastrointestinal bleeds (GIBs) in the subsequent 12 months and GIB risk factors were also evaluated. Results A total of 19,525 patients were included in the analysis. Eighty-nine percent of patients identified as White and 54% identified as male. Of the total cohort, 44% had CVD and 19% were co-prescribed a PPI. GIB occurred in 247 patients (1.27%) within the subsequent year. Risk factors significantly associated with a GIB within 1 year included: history of GIB, history of peptic ulcer disease, other esophageal issue (esophagitis, Barrett's esophagus, Mallory Weiss tears, etc.), 75 years of age or older, and history of gastroesophageal reflux disease. Conclusion This evaluation found that many older persons at this institution may be inappropriately prescribed aspirin, providing opportunities for pharmacists to improve medication safety by deprescribing aspirin among primary prevention patients or potentially co-prescribing a PPI in secondary prevention patients.


Aspirin , Gastrointestinal Hemorrhage , Humans , Aspirin/adverse effects , Aspirin/therapeutic use , Aspirin/administration & dosage , Male , Gastrointestinal Hemorrhage/prevention & control , Gastrointestinal Hemorrhage/chemically induced , Gastrointestinal Hemorrhage/epidemiology , Female , Aged , Retrospective Studies , Middle Aged , Cross-Sectional Studies , Proton Pump Inhibitors/therapeutic use , Proton Pump Inhibitors/administration & dosage , Proton Pump Inhibitors/adverse effects , Aged, 80 and over , Colorado/epidemiology , Primary Health Care , Risk Factors , Platelet Aggregation Inhibitors/adverse effects , Platelet Aggregation Inhibitors/therapeutic use , Platelet Aggregation Inhibitors/administration & dosage , Primary Prevention , Academic Medical Centers , Secondary Prevention/methods , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/drug therapy
7.
Ann Fam Med ; 22(3): 237-243, 2024.
Article En | MEDLINE | ID: mdl-38806264

Academic practices and departments are defined by a tripartite mission of care, education, and research, conceived as being mutually reinforcing. But in practice, academic faculty have often experienced these 3 missions as competing rather than complementary priorities. This siloed approach has interfered with innovation as a learning health system in which the tripartite missions reinforce each other in practical ways. This paper presents a longitudinal case example of harmonizing academic missions in a large family medicine department so that missions and people interact in mutually beneficial ways to create value for patients, learners, and faculty. We describe specific experiences, implementation, and examples of harmonizing missions as a feasible strategy and culture. "Harmonized" means that no one mission subordinates or drives out the others; each mission informs and strengthens the others (quickly in practice) while faculty experience the triparate mission as a coherent whole faculty job. Because an academic department is a complex system of work and relationships, concepts for leading a complex adaptive system were employed: (1) a "good enough" vision, (2) frequent and productive interactions, and (3) a few simple rules. These helped people harmonize their work without telling them exactly what to do, when, and how. Our goal here is to highlight concrete examples of harmonizing missions as a feasible operating method, suggesting ways it builds a foundation for a learning health system and potentially improving faculty well-being.


Faculty, Medical , Family Practice , Family Practice/education , Humans , Longitudinal Studies , Academic Medical Centers/organization & administration , Organizational Case Studies , Organizational Objectives
9.
BMC Med ; 22(1): 195, 2024 May 14.
Article En | MEDLINE | ID: mdl-38745169

BACKGROUND: Diabetic cardiomyopathy (DbCM) is characterized by asymptomatic stage B heart failure (SBHF) caused by diabetes-related metabolic alterations. DbCM is associated with an increased risk of progression to overt heart failure (HF). The prevalence of DbCM in patients with type 2 diabetes (T2D) is not well established. This study aims to determine prevalence of DbCM in adult T2D patients in real-world clinical practice. METHODS: Retrospective multi-step review of electronic medical records of patients with the diagnosis of T2D who had echocardiogram at UC San Diego Medical Center (UCSD) within 2010-2019 was conducted to identify T2D patients with SBHF. We defined "pure" DbCM when SBHF is associated solely with T2D and "mixed" SBHF when other medical conditions can contribute to SBHF. "Pure" DbCM was diagnosed in T2D patients with echocardiographic demonstration of SBHF defined as left atrial (LA) enlargement (LAE), as evidenced by LA volume index ≥ 34 mL/m2, in the presence of left ventricular ejection fraction (LVEF) ≥ 45%, while excluding overt HF and comorbidities that can contribute to SBHF. RESULTS: Of 778,314 UCSD patients in 2010-2019, 45,600 (5.9%) had T2D diagnosis. In this group, 15,182 T2D patients (33.3%) had echocardiogram and, among them, 13,680 (90.1%) had LVEF ≥ 45%. Out of 13,680 patients, 4,790 patients had LAE. Of them, 1,070 patients were excluded due to incomplete data and/or a lack of confirmed T2D according to the American Diabetes Association recommendations. Thus, 3,720 T2D patients with LVEF ≥ 45% and LAE were identified, regardless of HF symptoms. In this group, 1,604 patients (43.1%) had overt HF and were excluded. Thus, 2,116 T2D patients (56.9% of T2D patients with LVEF ≥ 45% and LAE) with asymptomatic SBHF were identified. Out of them, 1,773 patients (83.8%) were diagnosed with "mixed" SBHF due to comorbidities such as hypertension (58%), coronary artery disease (36%), and valvular heart disease (17%). Finally, 343 patients met the diagnostic criteria of "pure" DbCM, which represents 16.2% of T2D patients with SBHF, i.e., at least 2.9% of the entire T2D population in this study. CONCLUSIONS: Our findings provide insights into prevalence of DbCM in real-world clinical practice and indicate that DbCM affects a significant portion of T2D patients.


Academic Medical Centers , Diabetes Mellitus, Type 2 , Diabetic Cardiomyopathies , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Male , Female , Diabetic Cardiomyopathies/epidemiology , Middle Aged , Retrospective Studies , Prevalence , Aged , Echocardiography , Adult , Heart Failure/epidemiology , Heart Failure/complications
10.
J Prof Nurs ; 52: 1-6, 2024.
Article En | MEDLINE | ID: mdl-38777520

Within higher education, scholarship is narrowly and inconsistently defined, limiting recognition of evolving faculty expectations, particularly for nursing faculty. At this academic medical center, a campus-wide, multi-school, academic advancement policy was achieved with a broader definition of scholarship that included: peer-reviewed publication of federally funded research, as well as innovation in curriculum development, teaching methodology, community engagement, safety and quality improvement, clinical practice, and health policy that would be applicable to tenure and non-tenure track faculty. The background, process, and outcomes of developing an expanded definition of scholarship that encompasses new and evolving areas of scholarship for a reconstructed academic personnel policy is presented. Beginning with a literature review and surveys of other schools' policies, we describe how a campus-wide working group ensured consensus and acceptance of the new policy. Upon approval of the reconstructed document, guidelines for implementation were widely disseminated through training workshops and discussions, integration into new faculty orientation, and faculty development programs. We share our process, outcomes, and lessons learned believing this information to be useful to other institutions engaged in review and revision of their promotion and tenure processes to align with the increasing expectations of nursing faculty of today and tomorrow.


Faculty, Nursing , Humans , Curriculum , Interprofessional Relations , Academic Medical Centers , Fellowships and Scholarships , Career Mobility , Organizational Policy
11.
BMJ Open ; 14(5): e081185, 2024 May 20.
Article En | MEDLINE | ID: mdl-38772587

PURPOSE: To systematically review the patient's satisfaction (PS) levels within academic hospitals in Saudi Arabia from January 2012 to the end of October 2022. DATA SOURCES: Articles were gathered from PubMed, ProQuest, Google Scholar and Web of Science. STUDY SELECTION/DATA EXTRACTION: This review identified studies that assessed PS in Saudi Arabian university hospitals. Articles published before January 2012, as well as commentary letters, conference papers, theses and dissertations, were excluded. The study employed the five domains of PS as outlined by Boquiren et al. Two independent reviewers independently identified qualifying studies, used the Joanna Briggs Institute tools to evaluate the quality of each study and extracted essential data from each article. RESULTS: Out of the 327 studies identified during the search phase, 11 met the project's objectives and criteria. Six studies reported overall PS rates ranging from 78% to 95.2%, with only one study indicating lower PS levels in emergency departments. Most studies demonstrated that technical skill is the primary domain influencing PS in academic hospitals. CONCLUSION: There is a need for further investigation to explore the factors influencing PS using standardised survey instruments suitable for Saudi culture. Contradictory results regarding PS are clearly evident in the literature; therefore, it is advisable to standardise the assessment process to reduce discrepancies within the academic hospital setting in Saudi Arabia.


Patient Satisfaction , Saudi Arabia , Humans , Patient Satisfaction/statistics & numerical data , Hospitals, University , Academic Medical Centers
12.
Health Care Manage Rev ; 49(3): 176-185, 2024.
Article En | MEDLINE | ID: mdl-38775753

BACKGROUND: The COVID-19 pandemic placed unprecedented demands on hospitals around the globe, making timely crisis response critical for organizational success. One mechanism that has played an effective role in health care service management during large-scale crises is the Hospital Incident Command System. PURPOSE: The aim of this article was to understand the role of HICS in the management of a large academic medical center and its impact on relationships and communication among providers in the delivery of services during a crisis. METHODOLOGY: This mixed methods study was based on meeting observations, document reviews, semistructured interviews, and two measures of team performance within an academic medical center in the Northeast during the COVID-19 pandemic. Descriptive and bivariate analyses were applied, and qualitative data were coded and analyzed for themes. RESULTS: HICS provided a systematic information-sharing and decision-making process that increased communication and coordination among team members. Analyses indicate a correlation between dimensions of relational coordination and organizational mindfulness. Qualitative data revealed the importance of shared meetings and huddles and the evolution of HICS across multiple waves of the crisis. CONCLUSION: HICS facilitated organizational improvements during the crisis response and generated opportunities to maintain specific coordination practices beyond the crisis. The prolonged implementation of HICS during the COVID-19 pandemic created challenges, including the disruption of the routine leadership structure. PRACTICAL IMPLICATIONS: Applying relational coordination and organizational mindfulness frameworks may allow hospitals to leverage communications and relationships within a high-stakes environment to improve service delivery.


Academic Medical Centers , COVID-19 , Mindfulness , Humans , COVID-19/epidemiology , Academic Medical Centers/organization & administration , SARS-CoV-2 , Pandemics , Communication , Qualitative Research
13.
PLoS One ; 19(5): e0303280, 2024.
Article En | MEDLINE | ID: mdl-38768115

BACKGROUND: Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup. METHODS: We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression. RESULTS: Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern. CONCLUSIONS: These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.


Breast Neoplasms , COVID-19 , Early Detection of Cancer , Mammography , Humans , COVID-19/epidemiology , Female , Middle Aged , Breast Neoplasms/diagnosis , Breast Neoplasms/epidemiology , Breast Neoplasms/diagnostic imaging , Mammography/statistics & numerical data , Early Detection of Cancer/statistics & numerical data , Aged , Adult , Academic Medical Centers , Midwestern United States/epidemiology , Pandemics , SARS-CoV-2 , Bayes Theorem , Mass Screening/statistics & numerical data
14.
Am J Manag Care ; 30(6 Spec No.): SP425-SP427, 2024 May.
Article En | MEDLINE | ID: mdl-38820181

This editorial discusses positions for academic medical centers to consider when designing and implementing artificial intelligence (AI) tools.


Academic Medical Centers , Artificial Intelligence , Academic Medical Centers/organization & administration , Humans , Health Equity , United States
15.
Am J Manag Care ; 30(6 Spec No.): SP468-SP472, 2024 May.
Article En | MEDLINE | ID: mdl-38820189

OBJECTIVES: To understand whether and how equity is considered in artificial intelligence/machine learning governance processes at academic medical centers. STUDY DESIGN: Qualitative analysis of interview data. METHODS: We created a database of academic medical centers from the full list of Association of American Medical Colleges hospital and health system members in 2022. Stratifying by census region and restricting to nonfederal and nonspecialty centers, we recruited chief medical informatics officers and similarly positioned individuals from academic medical centers across the country. We created and piloted a semistructured interview guide focused on (1) how academic medical centers govern artificial intelligence and prediction and (2) to what extent equity is considered in these processes. A total of 17 individuals representing 13 institutions across 4 census regions of the US were interviewed. RESULTS: A minority of participants reported considering inequity, racism, or bias in governance. Most participants conceptualized these issues as characteristics of a tool, using frameworks such as algorithmic bias or fairness. Fewer participants conceptualized equity beyond the technology itself and asked broader questions about its implications for patients. Disparities in health information technology resources across health systems were repeatedly identified as a threat to health equity. CONCLUSIONS: We found a lack of consistent equity consideration among academic medical centers as they develop their governance processes for predictive technologies despite considerable national attention to the ways these technologies can cause or reproduce inequities. Health systems and policy makers will need to specifically prioritize equity literacy among health system leadership, design oversight policies, and promote critical engagement with these tools and their implications to prevent the further entrenchment of inequities in digital health care.


Academic Medical Centers , Artificial Intelligence , Academic Medical Centers/organization & administration , Humans , United States , Qualitative Research , Health Equity/organization & administration , Interviews as Topic , Racism
16.
Arch Dermatol Res ; 316(6): 246, 2024 May 25.
Article En | MEDLINE | ID: mdl-38795141

Philanthropic donations are an increasingly important funding source for academic medical centers. Minimal published data is available about factors that influence alumni donations to residency programs. We performed a cross-sectional analysis of a single-site dermatology and combined internal medicine-dermatology residency programs to assess factors impacting alumni donations. Donors tended to have graduated less recently (only 20% graduating after 2010) and practice in the same region of their alma mater (50%). Respondents preferred funds be allocated to resident needs over needs of medical students. Strategically engaging senior alumni and offering fund allocation opportunities could increase philanthropy, with alumni perceptions of the residency program warranting further investigation for their impact on donation decisions.


Dermatology , Internship and Residency , Humans , Dermatology/education , Dermatology/statistics & numerical data , Internship and Residency/statistics & numerical data , Cross-Sectional Studies , Surveys and Questionnaires/statistics & numerical data , Students, Medical/statistics & numerical data , Female , Male , Internal Medicine/education , Internal Medicine/statistics & numerical data , Academic Medical Centers/statistics & numerical data
17.
Am J Disaster Med ; 19(1): 5-13, 2024.
Article En | MEDLINE | ID: mdl-38597642

The emergence of the coronavirus disease 2019 (COVID-19) pandemic produced an unprecedented strain on the United States medical system. Prior to the pandemic, there was an estimated 20,000 physician shortage. This has been further stressed by physicians falling ill and the increased acuity of the COVID-19 patients. Federal medical team availability was stretched to its capabilities with the large numbers of deployments. With such severe staffing shortages, creative ways of force expansion were undertaken. New Orleans, Louisiana, was one of the hardest hit areas early in the pandemic. As the case counts built, a call was put out for help. The Louisiana State University (LSU) system responded with a faculty-led resident strike team out of the LSU Health Shreveport Academic Medical Center. Residents and faculty alike volunteered, forming a multispecialty, attending-led medical strike team of approximately 10 physicians. Administrative aspects such as institution-specific credentialing, malpractice coverage, resident distribution, attending physician oversight, among other aspects were addressed, managed, and agreed upon between the LSU Health Shreveport and the New Orleans hospital institutions and leadership prior to deployment in April 2020. In New Orleans, the residents managed patients within the departments of emergency medicine, medical floor, and intensive care unit (ICU). The residents assigned to the medical floor became a new hospitalist service team. The diversity of specialties allowed the team to address patient care in a multidisciplinary manner, leading to comprehensive patient care plans and unhindered team dynamic and workflow. During the first week alone, the team admitted and cared for over 100 patients combined from the medical floor and ICU. In a disaster situation compounded by staff shortages, a resident strike team is a beneficial solution for force expansion. This article qualitatively reviews the first published incidence of a faculty-led multispecialty resident strike team being used as a force expander in a disaster.


COVID-19 , Disasters , Internship and Residency , Humans , United States , Academic Medical Centers , Intensive Care Units , Faculty , COVID-19/epidemiology
18.
West J Emerg Med ; 25(2): 181-185, 2024 Mar.
Article En | MEDLINE | ID: mdl-38596915

Background: Residency programs transitioned to primarily virtual interviews due to the COVID-19 pandemic. This shift raised questions regarding expectations and patterns of applicant cancellation timeliness. The purpose of this study was to examine changes in applicant cancellations after transitioning to virtual interviews. Methods: This was a retrospective cohort study of interview data from a three-year emergency medicine residency at a tertiary-care academic medical center. Using archived data from Interview Broker, we examined scheduling patterns between one in-person (2019-2020) and two virtual interview cohorts (2020-2021 and 2021-2022). Our outcomes were the overall cancellation rates relative to interview slots as well as the proportion of cancellations that occurred within 7 or 14 days of the interview date. Results: There were 453 interview slots and 568 applicants invited. Overall, applicants canceled 17.1% of scheduled interviews. Compared with in-person interviews, applicants canceled significantly fewer virtual interviews (in person: 40/128 (31.3%), virtual year 1: 22/178 (12.4%), virtual year 2: 15/143 (10.5%), P = 0.001). Conversely, applicants canceled significantly more virtual interviews within both the 14-day threshold (in person: 8/40 (20%), virtual year 1: 12/22 (55.5%), virtual year 2: 12/15 (80%), P < 0.001) and the 7-day threshold (in person: 0/40 (0%), virtual year 1: 3/22 (13.6%), virtual year 2: 4/15 (26.7%), P = 0.004). Conclusion: While limited, at our site, changing to a virtual interview format correlated with fewer cancellations overall. The proportion of cancellations within 14 days was much higher during virtual interview seasons, with most cancellations occurring during that time frame. Additional studies are needed to determine the effects of cancellation patterns on emergency medicine recruitment.


COVID-19 , Internship and Residency , Humans , Pandemics , Retrospective Studies , Academic Medical Centers , COVID-19/epidemiology
19.
BMC Med Educ ; 24(1): 375, 2024 Apr 05.
Article En | MEDLINE | ID: mdl-38580954

BACKGROUND: The burnout rates among residents urge for adequate interventions to improve resilience and prevent burnout. Peer reflection, also called group intervision sessions, is a potentially successful intervention to increase the resilience of young doctors. We aimed to gain insight into the perceived added value of intervision sessions and the prerequisite conditions to achieve this, according to residents and intervisors. Our insights might be of help to those who think of implementing intervision sessions in their institution. METHODS: An explorative, qualitative study was performed using focus groups and semi-structured interviews with both residents (n = 8) and intervisors (n = 6) who participated in intervision sessions in a university medical center in the Netherlands. The topic list included the perceived added value of intervision sessions and factors contributing to that. The interviews were transcribed verbatim and coded using NVivo. Thematic analysis was subsequently performed. RESULTS: According to residents and intervisors, intervision sessions contributed to personal and professional identity development; improving collegiality; and preventing burn-out. Whether these added values were experienced, depended on: (1) choices made during preparation (intervisor choice, organizational prerequisites, group composition, workload); (2) conditions of the intervision sessions (safety, depth, role of intervisor, group dynamics, pre-existent development); and (3) the hospital climate. CONCLUSIONS: Intervision sessions are perceived to be of added value to the identity development of medical residents and to prevent becoming burned out. This article gives insight in conditions necessary to reach the added value of intervision sessions. Optimizing preparation, meeting prerequisite conditions, and establishing a stimulating hospital climate are regarded as key to achieve this.


Burnout, Professional , Internship and Residency , Resilience, Psychological , Humans , Qualitative Research , Focus Groups , Academic Medical Centers , Burnout, Professional/prevention & control
20.
JMIR Hum Factors ; 11: e52561, 2024 Apr 03.
Article En | MEDLINE | ID: mdl-38568730

BACKGROUND: There is a great need for evidence-based antiracism interventions targeting mental health clinicians to help mitigate mental health disparities in racially and ethnically minoritized groups. OBJECTIVE: This study provides an exploratory analysis of mental health clinicians' perspectives on the acceptability of a web-based antiracism intervention. METHODS: Mental health clinicians were recruited from a single academic medical center through outreach emails. Data were collected through individual 30-minute semistructured remote video interviews with participants, then recorded, transcribed, and analyzed using content analysis. RESULTS: A total of 12 mental health clinicians completed the study; 10 out of 12 (83%) were female candidates. Over half (7/12, 58%) of the respondents desired more robust antiracism training in mental health care. Regarding the web-based antiracism intervention, (8/12, 67%) enjoyed the digitally delivered demo module, (7/12, 58%) of respondents suggested web-based content would be further enhanced with the addition of in-person or online group components. CONCLUSIONS: Our results suggest a strong need for additional antiracist training for mental health clinicians. Overall, participants responded favorably to novel web-based delivery methods for an antiracism intervention. These findings provide important support for future development and pilot testing of a large-scale digitally enhanced antiracist curriculum targeting mental health clinicians.


Antiracism , Mental Health , Humans , Female , Male , Academic Medical Centers , Curriculum , Electronic Mail
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