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2.
PLoS One ; 19(7): e0305262, 2024.
Article in English | MEDLINE | ID: mdl-38990934

ABSTRACT

Advancing public health through prevention necessitates collaboration among public, private, and community actors. Only together can these different actors amass the resources, knowledge, and community outreach required to promote health. Recent studies have suggested that university medical centres (UMCs) can play a key role in regional prevention networks, given their capacity to initiate, coordinate, drive, and monitor large partnerships. Yet, the literature often refers to prevention activities in general, leaving underexplored what UMCs can add to primary, universal prevention networks specifically. Moreover, UMCs operate in a crowded field of other organizations with extensive experience in primary prevention, who will already have an idea about what role UMCs should play in the network. This article presents a case study examining the potential role of a UMC within a densely interconnected stakeholder environment in the surroundings of a large city in the Netherlands. Combining insights from public health studies and network governance research, and integrating data from various methods, this study concludes that UMCs can enhance their contributions to prevention by assuming the role of network servants rather than network leaders. Stakeholders consider public health authorities or municipal governments as more logical candidates for coordinating the network. Moreover, partners often perceive-deservedly or not-UMCs as overly focused on the medical aspects of prevention, potentially neglecting social interventions, and as favouring universal treatments over tailor-made community interventions. At the same time, partner organizations hope that the UMCs join collaborations within the community, using their expertise to measure the impact of interventions and leveraging their prestige to generate attention for primary prevention. By synthesizing theoretical insights from multiple disciplines and analysing the empirics of network leaderships through multiple methods, this study offers UMCs a contextually-informed perspective on how to position themselves effectively within primary prevention networks.


Subject(s)
Academic Medical Centers , Leadership , Primary Prevention , Humans , Academic Medical Centers/organization & administration , Netherlands , Public Health/methods , Community Networks , Stakeholder Participation
6.
J Manag Care Spec Pharm ; 30(7): 672-683, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38950155

ABSTRACT

BACKGROUND: Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are rare oncogenic drivers prevalent in 0.3% of solid tumors. They are most common in salivary gland cancer (2.6%), thyroid cancer (1.6%), and soft-tissue sarcoma (1.5%). Currently, there are 2 US Food and Drug Administration-approved targeted therapies for NTRK gene fusions: larotrectinib, approved in 2018, and entrectinib, approved in 2019. To date, the real-world uptake of tyrosine receptor kinase inhibitor (TRKi) use for NTRK-positive solid tumors in academic cancer centers remains largely unknown. OBJECTIVE: To describe the demographics, clinical and genomic characteristics, and testing and treatment patterns of patients with NTRK-positive solid tumors treated at US academic cancer centers. METHODS: This was a retrospective chart review study conducted in academic cancer centers in the United States. All patients diagnosed with an NTRK fusion-positive (NTRK1, NTRK2, NTRK3) solid tumor (any stage) and who received cancer treatment at participating sites between January 1, 2012, and July 1, 2023, were included in this study. Patient demographics, clinical characteristics, genomic characteristics, NTRK testing data, and treatment patterns were collected from electronic medical records and analyzed using descriptive statistics as appropriate. RESULTS: In total, 6 centers contributed data for 55 patients with NTRK-positive tumors. The mean age was 49.3 (SD = 20.5) years, 51% patients were female, and the majority were White (78%). The median duration of time from cancer diagnosis to NTRK testing was 85 days (IQR = 44-978). At the time of NTRK testing, 64% of patients had stage IV disease, compared with 33% at cancer diagnosis. Prevalent cancer types in the overall cohort included head and neck (15%), thyroid (15%), brain (13%), lung (13%), and colorectal (11%). NTRK1 fusions were most common (45%), followed by NTRK3 (40%) and NTRK2 (15%). Across all lines of therapy, 51% of patients (n = 28) received a TRKi. Among TRKi-treated patients, 71% had stage IV disease at TRKi initiation. The median time from positive NTRK test to initiation of TRKi was 48 days (IQR = 9-207). TRKis were commonly given as first-line (30%) or second-line (48%) therapies. Median duration of therapy was 610 (IQR = 182-764) days for TRKi use and 207.5 (IQR = 42-539) days for all other first-line therapies. CONCLUSIONS: This study reports on contemporary real-world NTRK testing patterns and use of TRKis in solid tumors, including time between NTRK testing and initiation of TRKi therapy and duration of TRKi therapy.


Subject(s)
Neoplasms , Protein Kinase Inhibitors , Receptor, trkA , Receptor, trkB , Receptor, trkC , Humans , Female , Male , Retrospective Studies , Middle Aged , United States , Neoplasms/genetics , Neoplasms/drug therapy , Receptor, trkC/genetics , Aged , Receptor, trkA/genetics , Adult , Protein Kinase Inhibitors/therapeutic use , Receptor, trkB/genetics , Academic Medical Centers , Membrane Glycoproteins/genetics , Oncogene Proteins, Fusion/genetics , Cohort Studies , Pyrimidines/therapeutic use , Pyrazoles/therapeutic use , Benzamides/therapeutic use , Young Adult , Indazoles/therapeutic use
7.
Can J Surg ; 67(4): E273-E278, 2024.
Article in English | MEDLINE | ID: mdl-38964756

ABSTRACT

BACKGROUND: Surgical training traditionally took place at academic centres, but changed to incorporate community and rural hospitals. As little data exist comparing resident case volumes between these locations, the objective of this study was to determine variations in these volumes for routine general surgery procedures. METHODS: We analyzed senior resident case logs from 2009 to 2019 from a general surgery residency program. We classified training centres as academic, community, and rural. Cases included appendectomy, cholecystectomy, hernia repair, bowel resection, adhesiolysis, and stoma formation or reversal. We matched procedures to blocks based on date of case and compared groups using a Poisson mixed-methods model and 95% confidence intervals (CIs). RESULTS: We included 85 residents and 28 532 cases. Postgraduate year (PGY) 3 residents at academic sites performed 10.9 (95% CI 10.1-11.6) cases per block, which was fewer than 14.7 (95% CI 13.6-15.9) at community and 15.3 (95% CI 14.2-16.5) at rural sites. Fourth-year residents (PGY4) showed a greater difference, with academic residents performing 8.7 (95% CI 8.0-9.3) cases per block compared with 23.7 (95% CI 22.1-25.4) in the community and 25.6 (95% CI 23.6-27.9) at rural sites. This difference continued in PGY5, with academic residents performing 8.3 (95% CI 7.3-9.3) cases per block, compared with 18.9 (95% CI 16.8-21.0) in the community and 14.5 (95% CI 7.0-21.9) at rural sites. CONCLUSION: Senior residents performed fewer routine cases at academic sites than in community and rural centres. Programs can use these data to optimize scheduling for struggling residents who require exposure to routine cases, and help residents complete the requirements of a Competence by Design curriculum.


Subject(s)
General Surgery , Internship and Residency , Internship and Residency/statistics & numerical data , General Surgery/education , General Surgery/statistics & numerical data , Humans , Surgical Procedures, Operative/education , Surgical Procedures, Operative/statistics & numerical data , Hospitals, Rural/statistics & numerical data , Hospitals, Community/statistics & numerical data , Academic Medical Centers/statistics & numerical data
8.
Am J Med Qual ; 39(4): 145-153, 2024.
Article in English | MEDLINE | ID: mdl-39038274

ABSTRACT

Regulatory bodies in the United States have implemented quality metrics aimed at improving outcomes for patients with severe sepsis and septic shock. The current study was a quality improvement (QI) project in a community-based academic center aimed at improving adherence to sepsis quality metrics, time to antibiotic administration, and patient outcomes. Electronic health record systems were utilized to capture sepsis-related data. Regular audits and feedback sessions were conducted to identify areas for improvement, with a focus on the timely administration of antibiotics. Interventions included improving access to antibiotics, transitioning from intravenous piggyback to intravenous push formulations, and providing continuous staff education and training. This multidisciplinary QI initiative led to significant improvements in the mortality index, length of stay index, and direct cost index for patients with sepsis. Targeted multidisciplinary QI interventions resulted in improved quality metrics and patient outcomes.


Subject(s)
Anti-Bacterial Agents , Quality Improvement , Sepsis , Humans , Quality Improvement/organization & administration , Sepsis/therapy , Sepsis/mortality , Anti-Bacterial Agents/therapeutic use , Anti-Bacterial Agents/administration & dosage , Male , Female , Length of Stay , Middle Aged , Electronic Health Records , Aged , Guideline Adherence , Academic Medical Centers/organization & administration
10.
J Prim Care Community Health ; 15: 21501319241266121, 2024.
Article in English | MEDLINE | ID: mdl-39051652

ABSTRACT

Academic Medical Centers (AMCs) and Federally Qualified Health Centers (FQHCs) are similarly tasked with managing the health of their local community, yet they each face unique challenges in their ability to do so. Integrating AMCs and FQHCs into novel care delivery models can leverage both organizations strengths, providing care in a comprehensive and sustainable fashion. Johns Hopkins Medicine (JHM) implemented this model with a large East Baltimore medical center, creating an AMC-FQHC collaboration focused on providing care to the East Baltimore patient population. This system provided various improvements in care delivery, including increased staffing, new wraparound services, improved access to funding dollars, and decreased out of pocket costs for patients qualifying for financial assistance. The academic missions of research and training were preserved, serving as the primary continuity clinic for several residency programs and as a community site for research. These changes resulted in more robust care for patients while improving the financial standing of the clinic. Through AMC and FQHC partnership, progress can be made toward providing holistic and financially sustainable primary care services in underserved areas while preserving the tripartite mission of academic medicine, with significant pedagogical and research opportunities.


Subject(s)
Academic Medical Centers , Medically Underserved Area , Humans , Academic Medical Centers/organization & administration , Baltimore , Community Health Centers/organization & administration , Primary Health Care/organization & administration , Delivery of Health Care/organization & administration , Cooperative Behavior
11.
J Prim Care Community Health ; 15: 21501319241266102, 2024.
Article in English | MEDLINE | ID: mdl-39051662

ABSTRACT

Within the Department of Medicine (DOM) in a large tertiary academic health care facility in midwestern United States, we have developed an educational offering that incorporates an academic writing program (AWP) blending the approaches of a writing accountability work group, a writing workshop, and didactic writing courses. The purpose of this AWP was to assist healthcare professionals (HCP) with their manuscript writing skills to enhance academic productivity. We report our evolving journey and experiences with this AWP. To date, it has been offered 3 times to 25 HCP over the course of 3 years. Among those responding to a post program follow up survey (N = 11), 8 (73%) indicated that they completed the project that they were working on during the AWP and went on to publish the manuscript (N = 5) or were in the process of submission (N = 2). Some indicated they has also gone on to present posters (N = 2) or were in the process of presenting posters (N = 2) or had received grants (N = 1) or were awaiting grant notice (N = 1). A number of attendees have continued to use and share the tools presented during the AWP. Based on input from attendees and increased requests for this AWP, this educational program has been deemed a success and expansion of this program is currently underway.


Subject(s)
Health Personnel , Writing , Humans , Health Personnel/education , Academic Medical Centers
12.
Pan Afr Med J ; 47: 160, 2024.
Article in English | MEDLINE | ID: mdl-38974696

ABSTRACT

Introduction: recent worldwide data has shown a concerning decline in the number of acute coronary syndrome (ACS) related admissions and percutaneous coronary intervention (PCI) procedures during the coronavirus disease 2019 (COVID-19) pandemic. We suspected a similar trend at Chris Hani Baragwanath Hospital (CHBAH). Methods: a retrospective descriptive study was conducted to evaluate and compare all ACS-related admissions to the cardiac care unit (CCU) at CHBAH in the pre-COVID-19 (November 2019 to March 2020) and during COVID-19 periods (April 2020 to August 2020). Results: the study comprised 182 patients with a mean age of 57.9 ±10.9 years (22.5% females). Of these, 108 (59.32%) patients were admitted in the pre-COVID-19 period and 74 (40.66%) during COVID-19 (p=0.0109). During the pre-COVID-19 period, 42.9% of patients had ST-segment-elevation myocardial infarction (STEMI), 39.2% with non-ST-segment -elevation myocardial infarction (NSTEMI) and unstable angina (UA) was noted in 18.52%. In contrast, STEMI was noted in 50%, NSTEMI in 43.24% and UA in 6.76% of patients during the COVID-19 period. A statistically significant difference in STEMI and NSTEMI-related admissions was not noted, however, there was a greater number of admissions for UA during the pre-COVID-19 period (18.52% vs 6.76%, P =0.013). Only a third of the patients with STEMI received thrombolysis during the pre-and COVID-19 periods (30.4% vs 37.8%, P=0.47). No difference in the number of PCI procedures was noted between the pre-and during the COVID-19 periods (78.7% vs 72.9%, P=0.37). Conclusion: there was a difference in overall ACS admissions to the CCU between pre-and during COVID-19 periods, however no difference between STEMI and NSTEMI in both periods. A higher number of UA admissions was noted during the pre-COVID-19 period. During both periods, the use of thrombolysis was low for STEMI and no difference in PCI was noted.


Subject(s)
Acute Coronary Syndrome , COVID-19 , Percutaneous Coronary Intervention , ST Elevation Myocardial Infarction , Humans , COVID-19/epidemiology , COVID-19/therapy , Female , Acute Coronary Syndrome/therapy , Acute Coronary Syndrome/epidemiology , Retrospective Studies , Male , Middle Aged , Aged , South Africa/epidemiology , Percutaneous Coronary Intervention/statistics & numerical data , Percutaneous Coronary Intervention/methods , ST Elevation Myocardial Infarction/epidemiology , ST Elevation Myocardial Infarction/therapy , Hospitals, Urban/statistics & numerical data , Adult , Hospitalization/statistics & numerical data , Non-ST Elevated Myocardial Infarction/epidemiology , Non-ST Elevated Myocardial Infarction/therapy , Coronary Care Units/statistics & numerical data , Academic Medical Centers/statistics & numerical data
13.
J Patient Saf ; 20(5): 375-380, 2024 Aug 01.
Article in English | MEDLINE | ID: mdl-39028432

ABSTRACT

OBJECTIVE: The objective of this work was to establish sustainable systems for quality improvement in an Academic Medical Center and Safety Net Hospital. METHOD: High reliability principles of leadership engagement, a culture of safety, and sustainable performance improvement were used. Target areas for improvement were clinical outcomes for patients, public reputation scores, and lower cost of care. The system was based on annual focused goals with specific targets, improvement teams, transparent scorecards, and data driven work. Program visibility was championed by leaders. Consistent education on quality, safety, efficiency, and effectiveness for all employees created buy-in. Data review and accountability tracked progress, helped resource allocation, and defined next steps. RESULTS: In the first 5 years, all patient quality and safety metrics improved between 10% and 60%. This improvement resulted in higher CMS Star Ranking and Leapfrog patient safety grade. The next phase included maximizing value by expanding into hospital operations and finance with a focus on improved clinical documentation and reduced length of stay and cost of care. Clinical documentation improvement led to a 15% increase in comorbidity capture. This positively impacted reported outcomes and hospital payment by appropriate risk adjustment. Length of stay was addressed with a new care coordination program and physician-driven utilization review. CONCLUSIONS: High reliability principles are applicable in a resource limited healthcare system. Improved clinical and operational results were achieved through goal setting, improvement teams, and data driven projects leading to creation of an office of operational excellence.


Subject(s)
Leadership , Patient Safety , Quality Improvement , Safety-net Providers , Humans , Safety-net Providers/organization & administration , Safety-net Providers/standards , Academic Medical Centers/organization & administration , Organizational Culture , Reproducibility of Results , Safety Management/standards
14.
Int J Public Health ; 69: 1606897, 2024.
Article in English | MEDLINE | ID: mdl-39027016

ABSTRACT

Objective: This study aimed to assess incidence and predictors of mortality among preterm neonates in Jimma University Medical Center, Southwest Ethiopia. Methods: A retrospective follow-up study was conducted among 505 preterm neonates admitted to the Neonatal Intensive Care Unit of Jimma University Medical Center from 01 January 2017, to 30 December 2019. Data were collected from medical records using a data collection checklist. Data were entered into Epi-Data 3.1 and analyzed with STATA 15. Cox-regression analysis was fitted to identify predictors of preterm neonatal mortality. Variables with p-value <0.05 were declared a statistical significance. Result: The cumulative incidence of preterm neonatal death was 25.1%. The neonatal mortality rate was 28.9 deaths (95%CI: 24.33, 34.46) per 1,000 neonate-days. Obstetric complications, respiratory distress syndrome, neonatal sepsis, perinatal asphyxia, antenatal steroid exposure, gestational age at birth, and receiving kangaroo-mother care were predictors of preterm neonatal mortality. Conclusion: Preterm neonatal mortality rate was high. Hence, early detection and management of obstetric and neonatal complications, use of antenatal steroids, and kangaroo-mother care should be strengthened to increase preterm neonatal survival.


Subject(s)
Infant Mortality , Infant, Premature , Intensive Care Units, Neonatal , Humans , Ethiopia/epidemiology , Infant, Newborn , Female , Retrospective Studies , Male , Incidence , Infant Mortality/trends , Intensive Care Units, Neonatal/statistics & numerical data , Follow-Up Studies , Infant , Risk Factors , Academic Medical Centers , Gestational Age , Pregnancy , Adult
15.
J Nurs Adm ; 54(7-8): 397-403, 2024.
Article in English | MEDLINE | ID: mdl-39028562

ABSTRACT

This project aimed to evaluate the DNP projects at an academic medical center, assess the sustainability of DNP final projects, and explore potential opportunities to enhance the organizational review processes. The organization's graduate student review committee reviewed DNP projects implemented at the organization over the last 8 years. The sustainability of projects was less than anticipated. Recommendations are provided to enhance the DNP project approval process and improve strategies for sustainability.


Subject(s)
Education, Nursing, Graduate , Leadership , Nurse Administrators , Education, Nursing, Graduate/organization & administration , Humans , Nurse Administrators/education , Students, Nursing , Program Evaluation , Academic Medical Centers/organization & administration
16.
Harv Rev Psychiatry ; 32(4): 140-149, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38990902

ABSTRACT

ABSTRACT: Outpatient mental health care in the United States is delivered by an uncoordinated patchwork of public and private entities that struggle to effectively differentiate the care they provide. The COVID-19 pandemic catalyzed transformative changes in this space, including rapid adoption of telehealth and escalating private sector investment to provide services for individuals wishing to obtain care through insurance. In this article, we briefly review the current landscape of ambulatory mental health care. Utilizing Kissick's Iron Triangle model of health care delivery, we compare the relative strengths and weaknesses of academic medical centers and the growing private sector, entities potentially positioned to synergistically foster a mental health ecosystem with improved quality, access, and cost-effectiveness. A roadmap for strategic integration is presented for how academic centers-institutions frequently overwhelmed by patient volume-might leverage partnerships with a private sector eager to utilize novel technology to improve access, demonstrate data-driven outcomes, and advocate for improved reimbursement from payers. We also assess the potential risks and pitfalls of such collaboration. In return, academic institutions can refocus on their strengths, including research, systems knowledge, quality-improvement initiatives, education and training, and specialty clinical care.


Subject(s)
Academic Medical Centers , COVID-19 , Telemedicine , Humans , Telemedicine/organization & administration , Academic Medical Centers/organization & administration , United States , Mental Health Services/organization & administration , Private Sector/organization & administration , SARS-CoV-2
18.
Front Public Health ; 12: 1380400, 2024.
Article in English | MEDLINE | ID: mdl-38841663

ABSTRACT

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.


Subject(s)
Carbon Footprint , Netherlands , Carbon Footprint/statistics & numerical data , Humans , Greenhouse Gases , Academic Medical Centers/statistics & numerical data
20.
JCO Clin Cancer Inform ; 8: e2300249, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38935887

ABSTRACT

PURPOSE: The expanding presence of the electronic health record (EHR) underscores the necessity for improved interoperability. To test the interoperability within the field of oncology research, our team at Vanderbilt University Medical Center (VUMC) enabled our Epic-based EHR to be compatible with the Minimal Common Oncology Data Elements (mCODE), which is a Fast Healthcare Interoperability Resources (FHIR)-based consensus data standard created to facilitate the transmission of EHRs for patients with cancer. METHODS: Our approach used an extract, transform, load tool for converting EHR data from the VUMC Epic Clarity database into mCODE-compatible profiles. We established a sandbox environment on Microsoft Azure for data migration, deployed a FHIR server to handle application programming interface (API) requests, and mapped VUMC data to align with mCODE structures. In addition, we constructed a web application to demonstrate the practical use of mCODE profiles in health care. RESULTS: We developed an end-to-end pipeline that converted EHR data into mCODE-compliant profiles, as well as a web application that visualizes genomic data and provides cancer risk assessments. Despite the complexities of aligning traditional EHR databases with mCODE standards and the limitations of FHIR APIs in supporting advanced statistical methodologies, this project successfully demonstrates the practical integration of mCODE standards into existing health care infrastructures. CONCLUSION: This study provides a proof of concept for the interoperability of mCODE within a major health care institution's EHR system, highlighting both the potential and the current limitations of FHIR APIs in supporting complex data analysis for oncology research.


Subject(s)
Academic Medical Centers , Electronic Health Records , Genomics , Medical Oncology , Humans , Pilot Projects , Medical Oncology/methods , Medical Oncology/standards , Genomics/methods , Neoplasms/genetics , Common Data Elements , Software , Health Information Interoperability
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