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Objective: To assess acceptability and feasibility of rapid at-home COVID-19 testing and reporting of test results among individuals seeking care at community health centers (CHCs) and their household members. Methods: Participants were recruited from 2 Community Health Centers during a clinic visit or a community event. Over-the-counter COVID-19 tests were distributed to participants for self-testing and to offer testing to household members. Separate surveys were administered to collect baseline information on the study participant and to collect test results on the study participant and household members. We calculated the proportion of individuals who agreed to complete COVID home testing, those who reported test results, and the test positivity. For household members, we calculated the proportion who completed and reported results and the positivity rate. We assessed reasons for undergoing COVID-19 testing and the action taken by participants who reported positive tests. Results: A total of 2189 individuals were approached by CHC staff for participation and 1013 (46.3%) agreed to participate. Among the 959 participants with complete sociodemographic data, 88% were Hispanic and 82.6% were female. The proportion providing test results was 36.2% and the test positivity was 4.2%. Among the 1927 test reports, 35.3% for the index participant and 64.4% were for household members. The largest proportion of test results were for index participants (35.3%) and the second largest was for the participant's children (32.1%), followed by parents (16.9%), and spouse/partner (13.2%). The 2 most common reasons for testing were symptoms (29%) and attending family gatherings (26%). Among test-positive individuals (n = 80), most (83.3%) noted that they isolated but only 16.3% called their provider and 1.3% visited a clinic. Conclusion: Our results show interest in at-home COVID-19 testing of multiple household members, as we headed into the endemic phase of the pandemic. However, reporting of test results was modest and among test-positive individuals, reporting results to a provider was very low. These results underscore the challenges with reporting and following guidelines among people undergoing home testing for COVID-19, which may have implications for future pandemics. [ABSTRACT FROM AUTHOR]

Abstract Background This study aimed to evaluate the prevalence and predictors of AIDS-related complicated cryptococcal meningitis. The outcome was complicated cryptococcal meningitis: prolonged (≥ 14 days) altered mental status, persistent (≥ 14 days) focal neurologic findings, cerebrospinal fluid (CSF) shunt placement or death. Predictor variable operating characteristics were estimated using receiver operating characteristic curve (ROC) analysis. Multivariate analysis identified independent predictors of the outcome. Results From 1990-2009, 82 patients with first episode of cryptococcal meningitis were identified. Of these, 14 (17%) met criteria for complicated forms of cryptococcal meningitis (prolonged altered mental status 6, persistent focal neurologic findings 7, CSF surgical shunt placement 8, and death 5). Patients with complicated cryptococcal meningitis had higher frequency of baseline focal neurological findings, head computed tomography (CT) abnormalities, mean CSF opening pressure, and cryptococcal antigen (CRAG) titers in serum and CSF. ROC area of log2 serum and CSF CRAG titers to predict complicated forms of cryptococcal meningitis were comparable, 0.78 (95%CI: 0.66 to 0.90) vs. 0.78 (95% CI: 0.67 to 0.89), respectively (χ2, p = 0.95). The ROC areas to predict the outcomes were similar for CSF pressure and CSF CRAG titers. In a multiple logistic regression model, the following were significant predictors of the outcome: baseline focal neurologic findings, head CT abnormalities and log2 CSF CRAG titer. Conclusions During initial clinical evaluation, a focal neurologic exam, abnormal head CT and large cryptococcal burden measured by CRAG titer are associated with the outcome of complicated cryptococcal meningitis following 2 weeks from antifungal therapy initiation.

Abstract Background This study aimed to evaluate the prevalence and predictors of AIDS-related complicated cryptococcal meningitis. The outcome was complicated cryptococcal meningitis: prolonged (≥ 14 days) altered mental status, persistent (≥ 14 days) focal neurologic findings, cerebrospinal fluid (CSF) shunt placement or death. Predictor variable operating characteristics were estimated using receiver operating characteristic curve (ROC) analysis. Multivariate analysis identified independent predictors of the outcome. Results From 1990-2009, 82 patients with first episode of cryptococcal meningitis were identified. Of these, 14 (17%) met criteria for complicated forms of cryptococcal meningitis (prolonged altered mental status 6, persistent focal neurologic findings 7, CSF surgical shunt placement 8, and death 5). Patients with complicated cryptococcal meningitis had higher frequency of baseline focal neurological findings, head computed tomography (CT) abnormalities, mean CSF opening pressure, and cryptococcal antigen (CRAG) titers in serum and CSF. ROC area of log2 serum and CSF CRAG titers to predict complicated forms of cryptococcal meningitis were comparable, 0.78 (95%CI: 0.66 to 0.90) vs. 0.78 (95% CI: 0.67 to 0.89), respectively (χ2, p = 0.95). The ROC areas to predict the outcomes were similar for CSF pressure and CSF CRAG titers. In a multiple logistic regression model, the following were significant predictors of the outcome: baseline focal neurologic findings, head CT abnormalities and log2 CSF CRAG titer. Conclusions During initial clinical evaluation, a focal neurologic exam, abnormal head CT and large cryptococcal burden measured by CRAG titer are associated with the outcome of complicated cryptococcal meningitis following 2 weeks from antifungal therapy initiation.

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) codes. COVID-19 TestNorm was developed and evaluated using 568 test names collected from 8 healthcare systems. Our results show that it could achieve an accuracy of 97.4% on an independent test set. COVID-19 TestNorm is available as an open-source package for developers and as an online Web application for end users (https://clamp.uth.edu/covid/loinc.php). We believe that it will be a useful tool to support secondary use of EHRs for research on COVID-19. [ABSTRACT FROM AUTHOR]

Cryptococcomas have been described in AIDS patients in the setting of immune reconstitution inflammatory syndrome. We report the first case of human immunodeficiency virus- related inflammatory cerebral cryptococcoma to be treated with a recombinant human monoclonal tumor necrosis factor antagonist. [ABSTRACT FROM AUTHOR]

Background: This study aimed to evaluate the prevalence and predictors of AIDS-related complicated cryptococcal meningitis. The outcome was complicated cryptococcal meningitis: prolonged (≥ 14 days) altered mental status, persistent (≥ 14 days) focal neurologic findings, cerebrospinal fluid (CSF) shunt placement or death. Predictor variable operating characteristics were estimated using receiver operating characteristic curve (ROC) analysis. Multivariate analysis identified independent predictors of the outcome. Results: From 1990-2009, 82 patients with first episode of cryptococcal meningitis were identified. Of these, 14 (17%) met criteria for complicated forms of cryptococcal meningitis (prolonged altered mental status 6, persistent focal neurologic findings 7, CSF surgical shunt placement 8, and death 5). Patients with complicated cryptococcal meningitis had higher frequency of baseline focal neurological findings, head computed tomography (CT) abnormalities, mean CSF opening pressure, and cryptococcal antigen (CRAG) titers in serum and CSF. ROC area of log2 serum and CSF CRAG titers to predict complicated forms of cryptococcal meningitis were comparable, 0.78 (95%CI: 0.66 to 0.90) vs. 0.78 (95% CI: 0.67 to 0.89), respectively (c2, p = 0.95). The ROC areas to predict the outcomes were similar for CSF pressure and CSF CRAG titers. In a multiple logistic regression model, the following were significant predictors of the outcome: baseline focal neurologic findings, head CT abnormalities and log2 CSF CRAG titer. Conclusions: During initial clinical evaluation, a focal neurologic exam, abnormal head CT and large cryptococcal burden measured by CRAG titer are associated with the outcome of complicated cryptococcal meningitis following 2 weeks from antifungal therapy initiation. [ABSTRACT FROM AUTHOR]

Background: Electronic health record (EHR)-based patient messages can contribute to burnout. Messages with a negative tone are particularly challenging to address. In this perspective, we describe our initial evaluation of large language model (LLM)-generated responses to negative EHR patient messages and contend that using LLMs to generate initial drafts may be feasible, although refinement will be needed., Methods: A retrospective sample ( n  = 50) of negative patient messages was extracted from a health system EHR, de-identified, and inputted into an LLM (ChatGPT). Qualitative analyses were conducted to compare LLM responses to actual care team responses., Results: Some LLM-generated draft responses varied from human responses in relational connection, informational content, and recommendations for next steps. Occasionally, the LLM draft responses could have potentially escalated emotionally charged conversations., Conclusion: Further work is needed to optimize the use of LLMs for responding to negative patient messages in the EHR., Competing Interests: S.L.B. reports equipment support from Topcon and Optomed, and consulting fees from Topcon, outside the submitted work. C.A.L. reports equity from consulting with Doximity. M.T.-S., M.M., and A.M.S. report no relevant conflicts., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Introduction: Academic medical centers (AMCs) and community physicians seeking to establish a clinically integrated network (CIN) may benefit from a road map to navigate the opportunities and challenges of such an organizational structure. Creating and participating in a CIN requires careful consideration, investment of time, financial resources, alignment of a new quality infrastructure, shared governance, and vision., Potential Benefits, Challenges, and Regulatory Considerations: Potential AMC benefits include geographic clinical expansion, the ability to provide care for a broader population of patients, a mechanism to collaborate with regional physician graduates, and an expansion of available teaching sites for trainees. Potential benefits to community practices include propagation of high-value care, enhanced access to evidence-based protocols and priority measures, preparation for value-based reimbursement structures, and connection to an institution that produces future health care practitioners. Challenges to CIN creation include goal alignment, trust between AMC and community partners, acceptance of common quality measures and benchmarks, access to shared data, and local adoption of quality improvement activities., Quality and Information Technology Considerations: At inception the mission was to create an innovative academic-community alliance delivering high-quality, high-value, personalized care. Defining the clinical quality goals, measurement, governance, and improvement strategy, as well as information technology structure and decision making, are described., Future Directions: The network continues to grow and now includes more than 350 physicians, in 16 different specialties across 50 different independent medical practices throughout Southern California. We believe this builds a firm foundation for value-based health care., (Copyright © 2020 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

Background: Electronic health record (EHR) vendors now offer "off-the-shelf" artificial intelligence (AI) models to client organizations. Our health system faced difficulties in promoting end-user utilization of a new AI model for predicting readmissions embedded in the EHR., Objectives: The aim is to conduct a case study centered on identifying barriers to uptake/utilization., Methods: A qualitative study was conducted using interviews with stakeholders. The interviews were used to identify relevant stakeholders, understand current workflows, identify implementation barriers, and formulate future strategies., Results: We discovered substantial variation in existing workflows around readmissions. Some stakeholders did not perform any formal readmissions risk assessment. Others accustomed to using existing risk scores such as LACE+ had concerns about transitioning to a new model. Some stakeholders had existing workflows in place that could accommodate the new model, but they were not previously aware that the new model was in production. Concerns expressed by end-users included: whether the model's predictors were relevant to their work, need for adoption of additional workflow processes, need for training and change management, and potential for unintended consequences (e.g., increased health care resource utilization due to potentially over-referring discharged patients to home health services)., Conclusion: AI models for risk stratification, even if "off-the-shelf" by design, are unlikely to be "plug-and-play" in health care settings. Seeking out key stakeholders and defining clear use cases early in the implementation process can better facilitate utilization of these models., Competing Interests: Conflict of Interest None declared.

As participants in the California Medicaid 1115 waiver, the University of California San Diego Health (UCSDH) used population health informatics tools to address health disparities. This case study describes a modern application of health informatics to improve data capture, describe health disparities through demographic stratification, and drive reliable care through electronic medical record-based registries. We provide a details in our successful approach using (1) standardized collection of race, ethnicity, language, sexual orientation, and gender identity data, (2) stratification of 8 quality measures by demographic profile, and (3) improved quality performance through registries for wellness, social determinants of health, and chronic disease. A strong population health platform paired with executive support, physician leadership, education and training, and workflow redesign can improve the representation of diversity and drive reliable processes for care delivery that improve health equity., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Background: Approximately 232700 (21%) of Americans are unaware of their HIV-seropositive status; this represents a potential for virus transmission. Revised recommendations from the Centers for Disease Control for HIV screening promote routine screening in the health care setting. We describe the implementation of a hospital-wide routine HIV screening program in the District of Columbia., Methods: Rapid HIV testing was conducted at Howard University Hospital on consenting patients at least 18 years of age using the OraSure OraQuick Advance Rapid HIV-1/2 Antibody Test. The study population includes Howard University Hospital patients who were offered HIV screening over a 12-month period at no cost. Screened patients received immediate test results and, for those patients found to be preliminarily reactive, confirmatory testing and linkage to care were offered., Results: Of the 12836 patients who were offered testing, 7528 (58.6%) consented. Preliminary reactive test results were identified in 176 patients (2.3%). Overall, 45.5% were confirmed, of which 82.5% were confirmed positive. Screening protocol changes have led to 100% confirmation since implementation., Conclusions: Hospital-wide routine HIV screening is feasible and can be implemented effectively and efficiently. The HIV screening campaign instituted at Howard University Hospital identified a substantial number of HIV-positive individuals and provided critical connection to follow-up testing, counseling, and disease management services.