Evaluation of patient health outcomes of a student-run free clinic in East Harlem.

BACKGROUND: Most United States medical schools have affiliated student-run free clinics, but the quality of services provided in such contexts compared to national metrics is unknown. This study determines whether a student-run, attending-supervised free clinic servicing a low-income and minority race patient population in New York City can meet national metrics of care. METHODS: Through chart review from January 1, 2020 to December 31, 2020, patient outcomes and service utilization in the Healthcare Effectiveness Data and Information Set were examined and compared to national rates of patients using Medicaid HMO or Medicare. Patients are ≥ 21 years of age, residents of East Harlem, and ineligible for health insurance because of legal residency requirements. The majority identify as Hispanic and speak Spanish as their primary language. All patients who were seen in the clinic during the 2020 calendar year were included. The primary study outcome is the number of Healthcare Effectiveness Data and Information Set measures in which patients, seen in a student-run free clinic, meet or exceed national comparisons. RESULTS: The healthcare outcomes of 238 patients, mean age 47.8 years and 54.6% female, were examined in 18 Healthcare Effectiveness Data and Information Set measures. The student-run free clinic met or exceeded national metrics in 16 out of 18 categories. CONCLUSIONS: The student-run free clinic met or exceeded the national standard of care according to national metrics. Evidence-based priorities have been clarified for future improvement. Other student-run free clinics should similarly evaluate the quality of their services.

Strategies to decrease inequalities in cancer therapeutics, care and prevention: Proceedings on a conference organized by the Pontifical Academy of Sciences and the European Academy of Cancer Sciences, Vatican City, February 23-24, 2023.

Analyses of inequalities related to prevention and cancer therapeutics/care show disparities between countries with different economic standing, and within countries with high Gross Domestic Product. The development of basic technological and biological research provides clinical and prevention opportunities that make their implementation into healthcare systems more complex, mainly due to the growth of Personalized/Precision Cancer Medicine (PCM). Initiatives like the USA-Cancer Moonshot and the EU-Mission on Cancer and Europe's Beating Cancer Plan are initiated to boost cancer prevention and therapeutics/care innovation and to mitigate present inequalities. The conference organized by the Pontifical Academy of Sciences in collaboration with the European Academy of Cancer Sciences discussed the inequality problem, dependent on the economic status of a country, the increasing demands for infrastructure supportive of innovative research and its implementation in healthcare and prevention programs. Establishing translational research defined as a coherent cancer research continuum is still a challenge. Research has to cover the entire continuum from basic to outcomes research for clinical and prevention modalities. Comprehensive Cancer Centres (CCCs) are of critical importance for integrating research innovations to preclinical and clinical research, as for ensuring state-of-the-art patient care within healthcare systems. International collaborative networks between CCCs are necessary to reach the critical mass of infrastructures and patients for PCM research, and for introducing prevention modalities and new treatments effectively. Outcomes and health economics research are required to assess the cost-effectiveness of new interventions, currently a missing element in the research portfolio. Data sharing and critical mass are essential for innovative research to develop PCM. Despite advances in cancer research, cancer incidence and prevalence is growing. Making cancer research infrastructures accessible for all patients, considering the increasing inequalities, requires science policy actions incentivizing research aimed at prevention and cancer therapeutics/care with an increased focus on patients' needs and cost-effective healthcare.

Perceptions and concerns of emergency medicine practitioners about artificial intelligence in emergency triage management during the pandemic: a national survey-based study.

Objective: There have been continuous discussions over the ethics of using AI in healthcare. We sought to identify the ethical issues and viewpoints of Turkish emergency care doctors about the use of AI during epidemic triage. Materials and methods: Ten emergency specialists were initially enlisted for this project, and their responses to open-ended questions about the ethical issues surrounding AI in the emergency room provided valuable information. A 15-question survey was created based on their input and was refined through a pilot test with 15 emergency specialty doctors. Following that, the updated survey was sent to emergency specialists via email, social media, and private email distribution. Results: 167 emergency medicine specialists participated in the study, with an average age of 38.22 years and 6.79 years of professional experience. The majority agreed that AI could benefit patients (54.50%) and healthcare professionals (70.06%) in emergency department triage during pandemics. Regarding responsibility, 63.47% believed in shared responsibility between emergency medicine specialists and AI manufacturers/programmers for complications. Additionally, 79.04% of participants agreed that the responsibility for complications in AI applications varies depending on the nature of the complication. Concerns about privacy were expressed by 20.36% regarding deep learning-based applications, while 61.68% believed that anonymity protected privacy. Additionally, 70.66% of participants believed that AI systems would be as sensitive as humans in terms of non-discrimination. Conclusion: The potential advantages of deploying AI programs in emergency department triage during pandemics for patients and healthcare providers were acknowledged by emergency medicine doctors in Turkey. Nevertheless, they expressed notable ethical concerns related to the responsibility and accountability aspects of utilizing AI systems in this context.

Incarceration, Inequality, and Hepatitis C Treatment: The Story of Two Southern States.

Hepatitis C virus (HCV) infection causes liver-related morbidity/mortality and disproportionately affects people who are incarcerated and non-Hispanic Black populations, largely due to social and policy issues that contribute to poor health. With the advent of highly efficacious treatment, HCV is now curable. However, most states' departments of corrections do not offer universal HCV testing or treatment. Two southern states-Tennessee and Louisiana-provide examples of divergent approaches to addressing HCV infection. While Tennessee has offered treatment on a limited basis, resulting in a class action lawsuit, the state of Louisiana recently adopted a new approach. In establishing the 2019 Hepatitis Elimination Plan, the state created a standard of care for HCV infection that included robust testing and treatment in state prison facilities while capping costs. Louisiana has demonstrated the feasibility of HCV testing and treatment programs within state prisons, an important step towards achieving health equity.

Assessment of the impact on a PADC neutron dosimetry system of the new operational dose quantities proposed in ICRU report 95.

The International Commission on Radiation Units and Measurements, ICRU, have recommended, in ICRU Report 95, the adoption of new operational quantities for use in radiation protection monitoring. Their implementation will pose problems for instrument manufacturers supplying area dosemeters and for individual monitoring services providing personal dosemeters for radiation workers. The problems arise for photon, neutron and beta dosimetry, but this paper deals solely with neutron personal dosemeters based on poly-allyl diglycol carbonate (PADC) plastic. It presents information on the problems to be expected based on data from calibrations of actual personal neutron dosemeters in terms of the existing dose quantities.

Modified study designs to expand treatment options in personalised oncology: a multistakeholder view.

Personalised oncology, whereby patients are given therapies based on their molecular tumour profile, is rapidly becoming an essential part of optimal clinical care, at least partly facilitated by recent advances in next-generation sequencing-based technology using liquid- and tissue-based biopsies. Consequently, clinical trials have shifted in approach, from traditional studies evaluating cytotoxic chemotherapy in largely histology-based populations to modified, biomarker-driven studies (e.g. basket, umbrella, platform) of molecularly guided therapies and cancer immunotherapies in selected patient subsets. Such modified study designs may assess, within the same trial structure, multiple cancer types and treatments, and should incorporate a multistakeholder perspective. This is key to generating complementary, fit-for-purpose and timely evidence for molecularly guided therapies that can be used as proof-of-concept to inform further study designs, lead to approval by regulatory authorities and be used as confirmation of clinical benefit for health technology assessment bodies. In general, the future of cancer clinical trials requires a framework for the application of innovative technologies and dynamic design methodologies, in order to efficiently transform scientific discoveries into clinical utility. Next-generation, modified studies that involve the joint efforts of all key stakeholders will offer individualised strategies that ultimately contribute to globalised knowledge and collective learning. In this review, we outline the background and purpose of such modified study designs and detail key aspects from a multistakeholder perspective. We also provide methodological considerations for designing the studies and highlight how insights from already-ongoing studies may address current challenges and opportunities in the era of personalised oncology.

The value of arterial spin labelling (ASL) perfusion MRI in the assessment of post-treatment progression in adult glioma: A systematic review and meta-analysis.

Background: The distinction between viable tumor and therapy-induced changes is crucial for the clinical management of patients with gliomas. This study aims to quantitatively assess the efficacy of arterial spin labeling (ASL) biomarkers, including relative cerebral blood flow (rCBF) and absolute cerebral blood flow (CBF), for the discrimination of progressive disease (PD) and treatment-related effects. Methods: Eight articles were included in the synthesis after searching the literature systematically. Data have been extracted and a meta-analysis using the random-effect model was subsequently carried out. Diagnostic accuracy assessment was also performed. Results: This study revealed that there is a significant difference in perfusion measurements between groups with PD and therapy-induced changes. The rCBF yielded a standardized mean difference (SMD) of 1.25 [95% CI 0.75, 1.75] (p < .00001). The maximum perfusion indices (rCBFmax and CBFmax) both showed equivalent discriminatory ability, with SMD of 1.35 [95% CI 0.78, 1.91] (p < .00001) and 1.56 [95% CI 0.79, 2.33] (p < .0001), respectively. Similarly, accuracy estimates were comparable among ASL-derived metrices. Pooled sensitivities [95% CI] were 0.85 [0.67, 0.94], 0.88 [0.71, 0.96], and 0.93 [0.73, 0.98], and pooled specificities [95% CI] were 0.83 [0.71, 0.91], 0.83 [0.67, 0.92], 0.84 [0.67, 0.93], for rCBF, rCBFmax and CBFmax, respectively. Corresponding HSROC area under curve (AUC) [95% CI] were 0.90 [0.87, 0.92], 0.92 [0.89, 0.94], and 0.93 [0.90, 0.95]. Conclusion: These results suggest that ASL quantitative biomarkers, particularly rCBFmax and CBFmax, have the potential to discriminate between glioma progression and therapy-induced changes.

Trainee Love and Breakup Letters to NephSIM: A Free, Mobile-Optimized, Nephrology Teaching Tool.

BACKGROUND: It is not known how learners feel about free open access medical education (FOAMed) as they progress through their training from medical school to fellowship. Love and breakup letter methodology (LBM) is a technique that has been used extensively in user experience technology-based research but has not previously been used in evaluating medical education tools. LBM asks participants to creatively write a "love" or "breakup" letter to a product under study to capture their thoughts and emotions when engaging with it. We conducted qualitative analysis of data from focus groups to explore how attitudes toward a learning platform change at various training stages and to broaden our understanding of how we meet learners' needs through a nephrology FOAMed tool, NephSIM. METHODS: Three virtual, recorded focus groups were conducted with second-year medical students, internal medicine residents, and nephrology fellows ( N =18). At the start of the focus group, participants composed and read their love and breakup letters. Semistructured discussions were then led by facilitator-driven questions and peer comments. After transcription, inductive data analysis was conducted using Braun and Clarke's six-step thematic analysis. RESULTS: Four main themes were seen across all groups: attitudes toward teaching tool, perception of nephrology, learning needs and approach, and application to practice. Preclinical students positively viewed the opportunity to simulate the clinical setting and unanimously wrote love letters. Reactions from residents and fellows were mixed. Residents were interested in brevity and speed of learning, preferring algorithms and succinct approaches to meet their practice-based learning needs. Fellows' learning needs were driven by a desire to prepare for the nephrology board examination and review cases uncommonly seen in practice. CONCLUSIONS: LBM provided a valuable methodology through which to identify trainee reactions to a FOAMed tool and highlighted the challenges of meeting learning needs of a continuum of trainees with a single learning platform.

Australian Genomics: Outcomes of a 5-year national program to accelerate the integration of genomics in healthcare.

Australian Genomics is a national collaborative partnership of more than 100 organizations piloting a whole-of-system approach to integrating genomics into healthcare, based on federation principles. In the first five years of operation, Australian Genomics has evaluated the outcomes of genomic testing in more than 5,200 individuals across 19 rare disease and cancer flagship studies. Comprehensive analyses of the health economic, policy, ethical, legal, implementation and workforce implications of incorporating genomics in the Australian context have informed evidence-based change in policy and practice, resulting in national government funding and equity of access for a range of genomic tests. Simultaneously, Australian Genomics has built national skills, infrastructure, policy, and data resources to enable effective data sharing to drive discovery research and support improvements in clinical genomic delivery.

Evaluation of a pilot emergency department linkage to care program for patients previously diagnosed with Hepatitis C.

There is a significant number of Emergency Department (ED) patients with known chronic hepatitis C virus (HCV) infection who have not been treated with directly acting antivirals. We implemented a pilot ED-based linkage-to-care program to address this need and evaluated the impact of the program using the HCV Care Continuum metrics. Between March 2015 and May 2016, dedicated patient care navigators identified HCV RNA-positive patients in an urban ED and offered expedited appointments with the on-site viral hepatitis clinic. Patient demographics and care continuum outcomes were abstracted from the EMR and analysed to determine significant factors influencing linkage-to-care (LTC) and treatment initiation rates. The ED linkage-to-care program achieved a 43% linkage-to-care rate (165/384), 22% treatment rate (84/384) and 16% sustained virologic response rate (63/384). Significant associations were found between linkage-to-care and increasing age (OR = 1.03), Medicare insurance (OR = 2.21) and having a primary care physician (PCP) (OR = 4.03). For patients who were linked, the odds of initiating treatment were also positively significantly associated with increasing age (OR = 1.04) and having a PCP (OR = 2.77). For patients who initiated treatment, the odds of sustained virologic response were marginally associated with having a PCP (OR = 4.92).Our ED linkage-to-care program utilized care coordination to successfully link nearly half of approached HCV RNA-positive patients to care. This design can be feasibly replicated by other EDs given limited non-clinical training required for linkage-to-care staff. Adoption of similar programs in other EDs may improve the rates of LTC and treatment initiation for previously diagnosed HCV patients.

Effective and Efficient Delivery of Genome-Based Testing-What Conditions Are Necessary for Health System Readiness?

Health systems internationally must prepare for a future of genetic/genomic testing to inform healthcare decision-making while creating research opportunities. High functioning testing services will require additional considerations and health system conditions beyond traditional diagnostic testing. Based on a literature review of good practices, key informant interviews, and expert discussion, this article attempts to synthesize what conditions are necessary, and what good practice may look like. It is intended to aid policymakers and others designing future systems of genome-based care and care prevention. These conditions include creating communities of practice and healthcare system networks; resource planning; across-region informatics; having a clear entry/exit point for innovation; evaluative function(s); concentrated or coordinated service models; mechanisms for awareness and care navigation; integrating innovation and healthcare delivery functions; and revisiting approaches to financing, education and training, regulation, and data privacy and security. The list of conditions we propose was developed with an emphasis on describing conditions that would be applicable to any healthcare system, regardless of capacity, organizational structure, financing, population characteristics, standardization of care processes, or underlying culture.

Challenges of Conducting Value Assessment for Comprehensive Genomic Profiling.

OBJECTIVES: Clinical practice is shifting toward an era of precision medicine. The use of comprehensive genomic profiling (CGP) in oncology has broad potential as a universal companion diagnostic for targeted therapies which may significantly improve health outcomes while using healthcare resources more efficiently. Given the nature of this technology, assessing the value of CGP presents unique challenges. METHODS: This paper draws on evidence from the academic and policy literature in oncology, as well as stakeholder interviews (health economists, payers, clinicians, and public policy officials) in countries using incremental cost-effectiveness ratios (ICER) as part of health technology assessment (HTA). RESULTS: The degree to which CGP is subject to a value assessment varies significantly across healthcare systems. Current HTA processes focus on evaluating diagnostic testing through co-dependent assessment of diagnostic testing and associated therapeutic interventions. Diagnostic tests with multiple associated therapeutic interventions are rapidly evolving and poorly unsuited to current HTA approaches. Moreover, HTA approaches are limited in their ability to consider broader systemic benefits of the expanded diagnostic capabilities and enhanced opportunities for clinical trial participation offered by CGP. CONCLUSIONS: The assessment of the overall value of CGP is limited by the current models of HTA. This paper suggests policy proposals for value assessment and funding reforms to help broaden patient access to CGP. These include investing in genomic testing infrastructure; decoupling the assessment of the value of CGP testing to identifying predetermined therapeutic interventions; tailoring evaluation methodology; and developing approaches to collecting evidence of clinical, healthcare system and societal benefit.

Optimal decision theory for diagnostic testing: Minimizing indeterminate classes with applications to saliva-based SARS-CoV-2 antibody assays.

In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay performance. We address this problem by reformulating data classification in terms of a constrained optimization problem that (i) minimizes the probability of labeling samples as indeterminate while (ii) ensuring that the remaining ones are classified with an average target accuracy X. We show that the solution to this problem is expressed in terms of a bathtub-type principle that holds out those samples with the lowest local accuracy up to an X-dependent threshold. To illustrate the usefulness of this analysis, we apply it to a multiplex, saliva-based SARS-CoV-2 antibody assay and demonstrate up to a 30 % reduction in the number of indeterminate samples relative to more traditional approaches.

In Vitro Assessment of Hydrolysed Collagen Fermentation Using Domestic Cat (Felis catus) Faecal Inocula.

The gastrointestinal microbiome has a range of roles in the host, including the production of beneficial fermentation end products such as butyrate, which are typically associated with fermentation of plant fibres. However, domestic cats are obligate carnivores and do not require carbohydrates. It has been hypothesised that in the wild, collagenous parts of prey-the so-called animal-derived fermentable substrates (ADFS) such as tendons and cartilage-may be fermented by the cat's gastrointestinal microbiome. However, little research has been conducted on ADFS in the domestic cat. Faecal inoculum was obtained from domestic cats either consuming a high carbohydrate (protein:fat:carbohydrate ratio of 35:20:28 (% dry matter basis)) or high protein (protein:fat:carbohydrate ratio of 75:19:1 (% dry matter basis)) diet. ADFS (hydrolysed collagen, cat hair, and cartilage) were used in a series of static in vitro digestions and fermentations. Concentrations of organic acids and ammonia were measured after 24 h of fermentation, and the culture community of microbes was characterised. The type of inoculum used affected the fermentation profile produced by the ADFS. Butyrate concentrations were highest when hydrolysed collagen was fermented with high protein inoculum (p < 0.05). In contrast, butyrate was not detectable when hydrolysed collagen was fermented in high carbohydrate inoculum (p < 0.05). The microbiome of the domestic cat may be able to ferment ADFS to provide beneficial concentrations of butyrate.

Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays.

In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing less efficient and must be balanced against overall assay performance. We address this problem by reformulating data classification in terms of a constrained optimization problem that (i) minimizes the probability of labeling samples as indeterminate while (ii) ensuring that the remaining ones are classified with an average target accuracy X. We show that the solution to this problem is expressed in terms of a bathtub principle that holds out those samples with the lowest local accuracy up to an X-dependent threshold. To illustrate the usefulness of this analysis, we apply it to a multiplex, saliva-based SARS-CoV-2 antibody assay and demonstrate up to a 30 % reduction in the number of indeterminate samples relative to more traditional approaches.

Perceived impact of the characteristics of the Indigenous Queensland B.strong brief intervention training program on uptake and implementation.

ISSUE ADDRESSED: Brief interventions (BIs) in primary health care (PHC) settings can be effective in addressing behavioural risk factors of chronic conditions. However, the impact of the characteristics of BI training programs on the uptake of the program and implementation of BIs in Indigenous PHC settings is not fully understood. The B.strong Program was an Indigenous health worker BI training program delivered in Queensland from 2017 to 2020. This study examines the impact of the characteristics of the B.strong Program on its uptake and implementation in PHC settings. METHODS: Semi-structured interviews were conducted in 2019 and 2020 with 20 B.strong Program trainees and four health service managers from eight purposively sampled Queensland PHC services, and one Queensland Department of Health manager, to collect their perceptions of the implementation of the B.strong Program. The Consolidated Framework for Implementation Research guided data collection. RESULTS: Key program characteristics that facilitated both the program uptake and the implementation of BIs were: ensuring the cultural appropriateness of the program from development, to engagement with health services and through to delivery, the applicability of the program to trainees' daily clinical work, program credibility, and its ease of access and availability. Participants preferred face-to-face workshop training for online module training. CONCLUSIONS: Relevance to practice, easy access, program credibility and measures taken to ensure cultural appropriateness of the B.strong Program in development, in engagement stages with health services, and in program delivery facilitated program uptake and implementation of BIs. Online BI training may be of limited value compared to face-to-face training in this setting. SO WHAT?: To enhance participation by Indigenous PHC services in health worker BI training programs and implementation of BIs posttraining by health staff, it is important to ensure the cultural appropriateness of the program's characteristics, and its development, engagement and delivery processes.

Role of organisational factors on uptake and implementation of the B.strong brief intervention training program in Queensland Indigenous primary health care services.

ISSUE ADDRESSED: The B.strong Program was an Indigenous health worker brief intervention (BI) training program delivered in Queensland from 2017-2020. This study examines the organisational factors of participating Indigenous primary health care (PHC) services that impacted on B.strong's uptake and implementation in those services. METHODS: Semi-structured interviews were conducted from 2019-2020 with 20 B.strong Program trainees and four health service managers from eight purposively sampled Queensland PHC services, and one Queensland Department of Health manager, to examine their perceptions of uptake and implementation of the B.strong Program. The Consolidated Framework for Implementation Research was used as a framework for the evaluation. Data analysis was conducted using NVivo 11. RESULTS: Although strong PHC service support was evident for the uptake of face-to-face workshop training, it was not available to support trainees to complete online modules or for ongoing BI delivery to clients. Key organisational factors associated with both program uptake and implementation of BIs in PHC services were leadership engagement and implementation climate. Within these themes, embedding B.strong into operational practices of health services, having policies, processes and consistent administrative support to facilitate implementation, and addressing gaps in knowledge and skills of health workers were identified as needing to be improved. The study identified the lack of application of continuous quality improvement (CQI) processes to BIs at these health services as a barrier to effective implementation. CONCLUSIONS: The study supports the establishment of BI specific CQI initiatives in health services and supports better engagement with organisational leadership in BI training to ensure their ongoing support of both the training and implementation of BI.

Examining the Relationship Between Sleep-Related Infant Deaths and Social Determinants of Health in Urban Communities.

In 2017, sleep-related infant deaths (SRID) accounted for about 3600 deaths in the USA. The SRID rate for African American infants (186. 41 per 100,000 live births) is more than twice that of Caucasian American infants (85. 43 per 100,000 live births) (Centers for Disease and Prevention, July 2020). PURPOSE: The purpose of this article is to develop a case for considering the relationship between racial disparities in SRID and social determinants of health (SDOH) in impoverished communities. The later has been related to chronic stress impacting biological and psychological functioning. The authors advocate that undesirable SDOH be regarded when developing safe sleep strategies for at risk communities, since chronic stress can impact psychological and biologic functioning, possibly manifesting in inconsistent safe sleep practices by caregivers. METHODS: An adapted environmental scan (AES), using SRID and SDOH data from impoverished communities, was used to illustrate the comparison of SRID and SDOH in contrasting Baltimore neighborhoods. RESULTS: The AES revealed a match between disparities in SRID and SDOH (e.g., educational achievement, unemployment, poverty, poor housing, and violence). The comparison between the SDOH and SRID increases together for named impoverished neighborhoods, as compared to those with low SRID rates in Baltimore. CONCLUSION: Rather than limit safe sleep interventions to crib and infant sleeper give-aways, for example, hazardous SDOH seen in impoverished communities should be addressed. We posit that these results will stimulate discussion for well-placed and financed programs, along with policies that focus on decreasing SRID by improving poor SDOH.

The reliability of clinical assessment of distal radioulnar joint instability.

Accurate assessment of distal radioulnar joint (DRUJ) stability is increasingly recognized as an important part of clinical examination of the wrist. The ability of 30 specialist UK hand surgeons to clinically determine the stability of four volunteers' wrists was assessed. Volunteers' wrist stability had previously been confirmed with a validated measurement rig. Use of the wrist ballottement test as the primary examination technique yielded a positive predictive value of 81%, a negative predictive value of 55%, a specificity of 94% and a sensitivity of only 24%, for the detection of DRUJ instability. No correlation between background speciality (orthopaedic versus plastic surgery), nor years of clinical experience was found. Clinical assessment of DRUJ instability among experienced clinicians appears unreliable and instability is typically under recognized. Previous research to date using this clinical assessment method as a parameter of success is therefore brought into question.Level of evidence: IV.