Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension

Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, including health care. The vision for AI is that a computer model can process information and provide output that is indistinguishable from that of a human and, in specific repetitive tasks, outperform a human's capability. The 2 critical underlying technologies in AI are used for supervised and unsupervised machine learning. Machine learning uses neural networks and deep learning modeled after the human brain from structured or unstructured data sets to learn, make decisions, and continuously improve the model. Natural language processing, used for supervised learning, is understanding, interpreting, and generating information using human language in chatbots and generative and conversational AI. These breakthroughs result from increased computing power and access to large data sets, setting the stage for releasing large language models, such as ChatGPT and others, and new imaging models using computer vision. Hypertension management involves using blood pressure and other biometric data from connected devices and generative AI to communicate with patients and health care professionals. AI can potentially improve hypertension diagnosis and treatment through remote patient monitoring and digital therapeutics.

New Estimates of Nitrogen Fixation on Early Earth

Fixed nitrogen species generated by the early Earth's atmosphere are thought to be critical to the emergence of life and the sustenance of early metabolisms. A previous study estimated nitrogen fixation in the Hadean Earth's N2/CO2-dominated atmosphere; however, that previous study only considered a limited chemical network that produces NOx species (i.e., no HCN formation) via the thermochemical dissociation of N2 and CO2 in lightning flashes, followed by photochemistry. Here, we present an updated model of nitrogen fixation on Hadean Earth. We use the Chemical Equilibrium with Applications (CEA) thermochemical model to estimate lightning-induced NO and HCN formation and an updated version of KINETICS, the 1-D Caltech/JPL photochemical model, to assess the photochemical production of fixed nitrogen species that rain out into the Earth's early ocean. Our updated photochemical model contains hydrocarbon and nitrile chemistry, and we use a Geant4 simulation platform to consider nitrogen fixation stimulated by solar energetic particle deposition throughout the atmosphere. We study the impact of a novel reaction pathway for generating HCN via HCN2, inspired by the experimental results which suggest that reactions with CH radicals (from CH4 photolysis) may facilitate the incorporation of N into the molecular structure of aerosols. When the HCN2 reactions are added, we find that the HCN rainout rate rises by a factor of five in our 1-bar case and is about the same in our 2- and 12-bar cases. Finally, we estimate the equilibrium concentration of fixed nitrogen species under a kinetic steady state in the Hadean ocean, considering loss by hydrothermal vent circulation, photoreduction, and hydrolysis. These results inform our understanding of environments that may have been relevant to the formation of life on Earth, as well as processes that could lead to the emergence of life elsewhere in the universe.

The current state of physical activity assessment and interventions with public policy solutions

Currently, assessing physical activity (PA) and cardiorespiratory fitness in healthcare settings and supporting patients on their journey toward active living is not a standard of practice in the US, although significant progress is underway. This paper summarizes the foundational as well as supporting public policies necessary to make PA assessment, prescription, and referral a standard of care in the US healthcare system to support active living for all. Measure standardization and healthcare integration will be supported by digital health and public private partnerships, as well as payer strategies and quality and performance incentives. The policy and systems change effort, currently being led by the Physical Activity Alliance's "It's Time to Move" initiative, will improve patient care and the ability to monitor PA levels across the US population, filling in gaps in current national public health surveillance systems. Having patient data available will also allow for additional research that elucidates the relationship between PA and overall health and well-being.

Advancing patient-centered research practices in a pragmatic patient-level randomized clinical trial: A thematic analysis of stakeholder engagement in Emergency Medicine Palliative Care Access (EMPallA)

BACKGROUND

Involving patient and community stakeholders in clinical trials adds value by ensuring research prioritizes patient goals both in conduct of the study and application of the research. The use of stakeholder committees and their impact on the conduct of a multicenter clinical trial have been underreported clinically and academically. The aim of this study is to describe how Study Advisory Committee (SAC) recommendations were implemented throughout the Emergency Medicine Palliative Care Access (EMPallA) trial. EMPallA is a multi-center, pragmatic two-arm randomized controlled trial (RCT) comparing the effectiveness of nurse-led telephonic case management and specialty, outpatient palliative care of older adults with advanced illness.

METHODS

A SAC consisting of 18 individuals, including patients with palliative care experience, members of healthcare organizations, and payers was convened for the EMPallA trial. The SAC engaged in community-based participatory research and assisted in all aspects from study design to dissemination. The SAC met with the research team quarterly and annually from project inception to dissemination. Using meeting notes and recordings we completed a qualitative thematic analysis using an iterative process to develop themes and subthemes to summarize SAC recommendations throughout the project's duration.

RESULTS

The SAC convened 16 times between 2017 and 2020. Over the course of the project, the SAC provided 41 unique recommendations. Twenty-six of the 41 (63%) recommendations were adapted into formal Institutional Review Board (IRB) study modifications. Recommendations were coded into four major themes: Scientific, Pragmatic, Resource and Dissemination. A majority of the recommendations were related to either the Scientific (46%) or Pragmatic (29%) themes. Recommendations were not mutually exclusive across three study phases: Preparatory, execution and translational. A vast majority (94%) of the recommendations made were related to the execution phase. Major IRB study modifications were made based on their recommendations including data collection of novel dependent variables and expanding recruitment to Spanish-speaking patients.

CONCLUSIONS

Our study provides an example of successful integration of a SAC in the conduct of a pragmatic, multi-center RCT. Future trials should engage with SACs in all study phases to ensure trials are relevant, inclusive, patient-focused, and attentive to gaps between health care and patient and family needs.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier: NCT03325985, 10/30/2017.

Rationale and Design of the mTECH-Rehab Randomized Controlled Trial: Impact of a Mobile Technology Enabled Corrie Cardiac Rehabilitation Program on Functional Status and Cardiovascular Health

BACKGROUND

Cardiac rehabilitation (CR) is an evidence-based, guideline-recommended intervention for patients recovering from a cardiac event, surgery or procedure that improves morbidity, mortality, and functional status. CR is traditionally provided in-center, which limits access and engagement, most notably among underrepresented racial and ethnic groups due to barriers including cost, scheduling, and transportation access. This study is designed to evaluate the Corrie Hybrid CR, a technology-based, multicomponent health equity-focused intervention as an alternative to traditional in-center CR among patients recovering from a cardiac event, surgery, or procedure compared with usual care alone.

METHODS

The mTECH-Rehab (Impact of a Mobile Technology Enabled Corrie CR Program) trial will randomize 200 patients who either have diagnosis of myocardial infarction or who undergo coronary artery bypass grafting surgery, percutaneous coronary intervention, heart valve repair, or replacement presenting to 4 hospitals in a large academic health system in Maryland, United States, to the Corrie Hybrid CR program combined with usual care CR (intervention group) or usual care CR alone (control group) in a parallel arm, randomized controlled trial. The Corrie Hybrid CR program leverages 5 components: (1) a patient-facing mobile application that encourages behavior change, patient empowerment, and engagement with guideline-directed therapy; (2) Food and Drug Administration-approved smart devices that collect health metrics; (3) 2 upfront in-center CR sessions to facilitate personalization, self-efficacy, and evaluation for the safety of home exercise, followed by a combination of in-center and home-based sessions per participant preference; (4) a clinician dashboard to track health data; and (5) weekly virtual coaching sessions delivered over 12 weeks for education, encouragement, and risk factor modification. The primary outcome is the mean difference between the intervention versus control groups in distance walked on the 6-minute walk test (ie, functional capacity) at 12 weeks post randomization. Key secondary and exploratory outcomes include improvement in a composite cardiovascular health metric, CR engagement, quality of life, health factors (including low-density lipoprotein-cholesterol, hemoglobin A1c, weight, diet, smoking cessation, blood pressure), and psychosocial factors. Approval for the study was granted by the local institutional review board. Results of the trial will be published once data collection and analysis have been completed.

CONCLUSIONS

The Corrie Hybrid CR program has the potential to improve functional status, cardiovascular health, and CR engagement and advance equity in access to cardiac rehabilitation.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT05238103.

What's in This For You? What's in This For Me?: A Win-Win Perspective of Involving Study Advisory Committee Members in Palliative Care Research

Study advisory committees (SACs) provide critical value to clinical trials by providing unique perspectives that pull from personal and professional experiences related to the trial's healthcare topic. The Emergency Medicine Palliative Care Access (EMPallA) study had the privilege of convening a 16-person SAC from the project's inception to completion. The study team wanted to understand the impact this project had on the SAC members. In this narrative, we use reflective dialogue to share SAC members' lived experiences and the impact the EMPallA study has had on members both personally and professionally. We detail the (1) benefits SAC members, specifically patients, and caregivers, have had through working on this project. (2) The importance of recruiting diverse SAC members with different lived experiences and leveraging their feedback in clinical research. (3) Value of community capacity building to ensure the common vision of the clinical trial is promoted.

Business vs After-Hours Use of an Artificial Intelligence-Powered Digital Health Platform Among Insured Patients

This cross-sectional study assesses usage patterns of an AI-powered patient digital health platform.

Combined cytotoxic and immune-stimulatory gene therapy for primary adult high-grade glioma: a phase 1, first-in-human trial

BACKGROUND

High-grade gliomas have a poor prognosis and do not respond well to treatment. Effective cancer immune responses depend on functional immune cells, which are typically absent from the brain. This study aimed to evaluate the safety and activity of two adenoviral vectors expressing HSV1-TK (Ad-hCMV-TK) and Flt3L (Ad-hCMV-Flt3L) in patients with high-grade glioma.

METHODS

In this dose-finding, first-in-human trial, treatment-naive adults aged 18-75 years with newly identified high-grade glioma that was evaluated per immunotherapy response assessment in neuro-oncology criteria, and a Karnofsky Performance Status score of 70 or more, underwent maximal safe resection followed by injections of adenoviral vectors expressing HSV1-TK and Flt3L into the tumour bed. The study was conducted at the University of Michigan Medical School, Michigan Medicine (Ann Arbor, MI, USA). The study included six escalating doses of viral particles with starting doses of 1×1010 Ad-hCMV-TK viral particles and 1×109 Ad-hCMV-Flt3L viral particles (cohort A), and then 1×1011 Ad-hCMV-TK viral particles and 1×109 Ad-hCMV-Flt3L viral particles (cohort B), 1×1010 Ad-hCMV-TK viral particles and 1×1010 Ad-hCMV-Flt3L viral particles (cohort C), 1×1011 Ad-hCMV-TK viral particles and 1×1010 Ad-hCMV-Flt3L viral particles (cohort D), 1×1010 Ad-hCMV-TK viral particles and 1×1011 Ad-hCMV-Flt3L viral particles (cohort E), and 1×1011 Ad-hCMV-TK viral particles and 1×1011 Ad-hCMV-Flt3L viral particles (cohort F) following a 3+3 design. Two 1 mL tuberculin syringes were used to deliver freehand a mix of Ad-hCMV-TK and Ad-hCMV-Flt3L vectors into the walls of the resection cavity with a total injection of 2 mL distributed as 0·1 mL per site across 20 locations. Subsequently, patients received two 14-day courses of valacyclovir (2 g orally, three times per day) at 1-3 days and 10-12 weeks after vector administration and standad upfront chemoradiotherapy. The primary endpoint was the maximum tolerated dose of Ad-hCMV-Flt3L and Ad-hCMV-TK. Overall survival was a secondary endpoint. Recruitment is complete and the trial is finished. The trial is registered with ClinicalTrials.gov, NCT01811992.

FINDINGS

Between April 8, 2014, and March 13, 2019, 21 patients were assessed for eligibility and 18 patients with high-grade glioma were enrolled and included in the analysis (three patients in each of the six dose cohorts); eight patients were female and ten were male. Neuropathological examination identified 14 (78%) patients with glioblastoma, three (17%) with gliosarcoma, and one (6%) with anaplastic ependymoma. The treatment was well-tolerated, and no dose-limiting toxicity was observed. The maximum tolerated dose was not reached. The most common serious grade 3-4 adverse events across all treatment groups were wound infection (four events in two patients) and thromboembolic events (five events in four patients). One death due to an adverse event (respiratory failure) occurred but was not related to study treatment. No treatment-related deaths occurred during the study. Median overall survival was 21·3 months (95% CI 11·1-26·1).

INTERPRETATION

The combination of two adenoviral vectors demonstrated safety and feasibility in patients with high-grade glioma and warrants further investigation in a phase 1b/2 clinical trial.

FUNDING

Funded in part by Phase One Foundation, Los Angeles, CA, The Board of Governors at Cedars-Sinai Medical Center, Los Angeles, CA, and The Rogel Cancer Center at The University of Michigan.

Digital Technologies in Cardiac Rehabilitation: A Science Advisory From the American Heart Association

Cardiac rehabilitation has strong evidence of benefit across many cardiovascular conditions but is underused. Even for those patients who participate in cardiac rehabilitation, there is the potential to better support them in improving behaviors known to promote optimal cardiovascular health and in sustaining those behaviors over time. Digital technology has the potential to address many of the challenges of traditional center-based cardiac rehabilitation and to augment care delivery. This American Heart Association science advisory was assembled to guide the development and implementation of digital cardiac rehabilitation interventions that can be translated effectively into clinical care, improve health outcomes, and promote health equity. This advisory thus describes the individual digital components that can be delivered in isolation or as part of a larger cardiac rehabilitation telehealth program and highlights challenges and future directions for digital technology generally and when used in cardiac rehabilitation specifically. It is also intended to provide guidance to researchers reporting digital interventions and clinicians implementing these interventions in practice and to advance a framework for equity-centered digital health in cardiac rehabilitation.

A two-dimensional finite element model of intercellular cAMP signaling through gap junction channels

While cyclic adenosine monophosphate (cAMP) is typically considered an intracellular signal, it has been shown to spread between adjacent cells through connexin-based gap junction channels, promoting gap junctional intercellular communication (GJIC). Gap junction-mediated signaling is critical for the coordinated function of many tissues, and have been linked with cardiovascular disease, neurogenerative disease, and cancers. In particular, it plays a complex role in tumor suppression or promotion. This work introduces a two-dimensional finite element model that can describe intercellular cAMP signaling in the presence of gap junctions on membrane interfaces. The model was utilized to simulate cAMP transfer through one and two gap junction channels on the interface of a cluster of two pulmonary microvascular endothelial cells. The simulation results were found to generally agree with what has been observed in the literature in terms of GJIC. The research outcomes suggest that the proposed model can be employed to evaluate the permeability properties of a gap junction channel if its cAMP volumetric flow rate can be experimentally measured.

Investigating the effect of an mHealth coaching intervention on health beliefs, adherence and blood pressure of patients with hypertension: A longitudinal single group pilot study

Background

Mobile health technologies have shown promise as delivery platforms for digital health coaching for chronic conditions. However, the impacts of such strategies on users' health beliefs, intentions and ultimately clinical outcomes are understudied.

Objective

This study sought (1) to evaluate the effects of a digital health coaching intervention on participants' belief constructs; and (2) to assess relationships between these belief constructs and intentions to utilize the technological intervention, actual adherence metrics and clinical outcomes related to hypertension.

Methods

Thirty-four participants with hypertension were recruited from a university community from January to May 2021. They self-measured weight and blood pressure (BP) for 30 days followed by digital coaching delivered via a mobile application for 30 days. Surveys assessed constructs from the Health Belief Model and Technology Acceptance Model, compared to intention, health belief, BP self-monitoring adherence and BP outcomes. A path analysis model was used to assess the relationships between constructs and intention, adherence metrics and clinical outcomes. A Kruskal-Wallis test was used to identify changes in beliefs.

Results

Participant health beliefs significantly improved after coaching, including self-efficacy (H(1) = 15.12, p < 0.001), cues to action (H(1) = 5.33, p = 0.02), attitude (H(1) = 10.35, p = 0.002), perceived usefulness (H(1) = 15.02, p < 0.001) and decreased resistance to change (H(1) = 4.05, p = 0.04). Adherence to BP measurements positively correlated with perceived health threat (β = .033, p = 0.007) and perceived ease of use (β = .0277, p < 0.001). Self-efficacy (β = -2.92, p = 0.02) and perceived usefulness (β = -3.75, p = 0.01) were linked with a decrease in diastolic BP.

Conclusions

A mobile health coaching intervention may help participants improve beliefs regarding hypertension self-management.

Pan-vaccine analysis reveals innate immune endotypes predictive of antibody responses to vaccination

Several studies have shown that the pre-vaccination immune state is associated with the antibody response to vaccination. However, the generalizability and mechanisms that underlie this association remain poorly defined. Here, we sought to identify a common pre-vaccination signature and mechanisms that could predict the immune response across 13 different vaccines. Analysis of blood transcriptional profiles across studies revealed three distinct pre-vaccination endotypes, characterized by the differential expression of genes associated with a pro-inflammatory response, cell proliferation, and metabolism alterations. Importantly, individuals whose pre-vaccination endotype was enriched in pro-inflammatory response genes known to be downstream of nuclear factor-kappa B showed significantly higher serum antibody responses 1 month after vaccination. This pro-inflammatory pre-vaccination endotype showed gene expression characteristic of the innate activation state triggered by Toll-like receptor ligands or adjuvants. These results demonstrate that wide variations in the transcriptional state of the immune system in humans can be a key determinant of responsiveness to vaccination.

Transcriptional atlas of the human immune response to 13 vaccines reveals a common predictor of vaccine-induced antibody responses

Systems vaccinology has defined molecular signatures and mechanisms of immunity to vaccination. However, comparative analysis of immunity to different vaccines is lacking. We integrated transcriptional data of over 3,000 samples, from 820 adults across 28 studies of 13 vaccines and analyzed vaccination-induced signatures of antibody responses. Most vaccines induced signatures of innate immunity and plasmablasts at days 1 and 7, respectively, after vaccination. However, the yellow fever vaccine induced an early transient signature of T and B cell activation at day 1, followed by delayed antiviral/interferon and plasmablast signatures that peaked at days 7 and 14-21, respectively. Thus, there was no evidence for a 'universal signature' that predicted antibody response to all vaccines. However, accounting for the asynchronous nature of responses, we defined a time-adjusted signature that predicted antibody responses across vaccines. These results provide a transcriptional atlas of immunity to vaccination and define a common, time-adjusted signature of antibody responses.

TMIC-62. INHIBITION OF TUMOR-ASSOCIATED COL1A1 MATRIX ARRESTS GLIOMA MESENCHYMAL TRANSFORMATION AND REPROGRAMS THE TUMOR MICROENVIRONMENT

Tumor mesenchymal transformation (MT) is a hallmark of high-grade gliomas. The mesenchymal state is associated with specific changes related to cell adhesion, migration, and the extracellular matrix. Collagen 1a1 (COL1A1) is a main component of the extracellular matrix in gliomas, and its expression correlates inversely with patient survival. However, the cellular and molecular mechanisms of the tumor-associated COL1A1 matrix in gliomas remains elusive. Our study integrates histopathological features, spatially resolved transcriptomics, cellular dynamics and microenvironment alterations associated with MT in high-grade gliomas. Using deep learning analysis of mouse and human glioma histological samples we identified that the density of areas of MT, named oncostreams, correlates with tumor aggressiveness. Spatial transcriptomics analysis, using laser capture microdissection, identified a signature enriched in extracellular matrix related proteins, in which COL1A1 appeared as a key determinant of mesenchymal organization. Correspondingly, human and mouse high-grade gliomas showed prominent alignment of collagen fibers along these mesenchymal fascicles and higher COL1A1 expression compared to low-grade gliomas. Moreover, RNA fluorescent multiplex assays identified at single cell level that different cells within glioma tumors contribute to COL1A1 expression, including neoplastic cells and perivascular non-neoplastic cells such as ACTA2+, CYR61+ and FAP+. Inhibition of COL1A1 using genetically engineered mouse models decreased areas of mesenchymal transformation and increased survival. COL1A1 downregulation impaired tumor cell proliferation and remodeled the tumor microenvironment by reducing CD68+ macrophages/microglia cells, CD31+ endothelial cells, ACTA2+, CYR61+ and FAP+ perivascular cells, and increased GFAP+ astrocytes infiltration withing the tumor mass. Further studies, using ex-vivo glioma explants demonstrated that CO1A1 downregulation decreased collective invasion of the normal brain, supporting its importance in tumor progression. We propose that COL1A1 expression is a valuable marker for diagnosis, and COL1A1 depletion within glioma tumors is a promising direct or complementary therapeutic approach to reprogram mesenchymal transformation, and halt tumor growth.

The Immune Signatures data resource, a compendium of systems vaccinology datasets

Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding the mechanisms by which vaccines protect. Systems immunology combines traditional immunology with modern 'omic profiling techniques and computational modeling to promote rapid and transformative advances in vaccinology and vaccine discovery. The NIH/NIAID Human Immunology Project Consortium (HIPC) has leveraged systems immunology approaches to identify molecular signatures associated with the immunogenicity of many vaccines. However, comparative analyses have been limited by the distributed nature of some data, potential batch effects across studies, and the absence of multiple relevant studies from non-HIPC groups in ImmPort. To support comparative analyses across different vaccines, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets. This data resource is available through ImmuneSpace, along with code to reproduce the processing and batch normalization starting from the underlying study data in ImmPort and the Gene Expression Omnibus (GEO). The current release comprises 1405 participants from 53 cohorts profiling the response to 24 different vaccines. This novel systems vaccinology data release represents a valuable resource for comparative and meta-analyses that will accelerate our understanding of mechanisms underlying vaccine responses.

Cost-effectiveness of an Emergency Department-Based Intensive Care Unit

IMPORTANCE

Value in health care is quality per unit cost (V = Q/C), and an emergency department-based intensive care unit (ED-ICU) model has been associated with improved quality. To assess the value of this care delivery model, it is essential to determine the incremental direct cost of care.

OBJECTIVE

To determine the association of an ED-ICU with inflation-adjusted change in mean direct cost of care, net revenue, and direct margin per ED patient encounter.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective economic analysis evaluated the cost of care delivery to patients in the ED before and after deployment of the Joyce and Don Massey Family Foundation Emergency Critical Care Center, an ED-ICU, on February 16, 2015, at a large academic medical center in the US with approximately 75 000 adult ED visits per year. The pre-ED-ICU cohort was defined as all documented ED visits by patients 18 years or older with a complete financial record from September 8, 2012, through June 30, 2014 (660 days); the post-ED-ICU cohort, all visits from July 1, 2015, through April 21, 2017 (660 days). Fiscal year 2015 was excluded from analysis to phase in the new care model. Statistical analysis was performed March 1 through December 30, 2021.

EXPOSURES

Implementation of an ED-ICU.

MAIN OUTCOMES AND MEASURES

Inflation-adjusted direct cost of care, net revenue, and direct margin per patient encounter in the ED.

RESULTS

A total of 234 884 ED visits during the study period were analyzed, with 115 052 patients (54.7% women) in the pre-ED-ICU cohort and 119 832 patients (54.5% women) in the post-ED-ICU cohort. The post-ED-ICU cohort was older (mean [SD] age, 49.1 [19.9] vs 47.8 [19.6] years; P < .001), required more intensive respiratory support (2.2% vs 1.1%; P < .001) and more vasopressor use (0.5% vs 0.2%; P < .001), and had a higher overall case mix index (mean [SD], 1.7 [2.0] vs 1.5 [1.7]; P < .001). Implementation of the ED-ICU was associated with similar inflation-adjusted total direct cost per ED encounter (pre-ED-ICU, mean [SD], $4875 [$15 175]; post-ED-ICU, $4877 [$17 400]; P = .98). Inflation-adjusted net revenue per encounter increased by 7.0% (95% CI, 3.4%-10.6%; P < .001), and inflation-adjusted direct margin per encounter increased by 46.6% (95% CI, 32.1%-61.2%; P < .001).

CONCLUSIONS AND RELEVANCE

Implementation of an ED-ICU was associated with no significant change in inflation-adjusted total direct cost per ED encounter. Holding delivery costs constant while improving quality demonstrates improved value via the ED-ICU model of care.

Resilience and adaptability of social workers in health care settings during COVID-19 in Australia

In 2020 Coronavirus disease (COVID-19) was identified in Australia. During the pandemic, as essential workers, hospital-based social workers have been on the frontline. This cross-sectional study examines the resilience of social workers during the COVID-19 pandemic, how the pandemic impacted on social work and lessons learnt. Hospital social workers working in three states, namely Victoria, Queensland, and New South Wales were invited to participate in an online web-based survey, providing non-identifiable demographic details and information a) relating to their proximity to COVID-19, b) their degree of resilience (CD-RISC-2), c) professional quality of life, d) perceived social support, e) physical health, f) professional and personal growth during the pandemic, and g) impacts of COVID-19 on their practice. Basic descriptive statistics were computed for variables of interest. Within group, comparisons were made using paired t-tests or one-way ANOVAs for continuous variables as appropriate to investigate possible interstate differences. Regression analyses were conducted to determine which factors contribute to resilience. Social workers, during the pandemic, whether working under the constraints of lockdown or not, demonstrated high levels of resilience. These levels were similar across the three states, unaffected by the degree of infection in the community, indicating that as a group, social workers have high innate levels of resilience. This study provides an in-depth understanding of the impact of COVID-19 on hospital social workers, the long-term impact of the pandemic on social work practice, and potentially useful lessons learnt for the future.

BSHI/BTS guidance on crossmatching before deceased donor kidney transplantation

All UK H&I laboratories and transplant units operate under a single national kidney offering policy, but there have been variations in approach regarding when to undertake the pre‐transplant crossmatch test. In order to minimize cold ischaemia times for deceased donor kidney transplantation we sought to find ways to be able to report a crossmatch result as early as possible in the donation process. A panel of experts in transplant surgery, nephrology, specialist nursing in organ donation and H&I (all relevant UK laboratories represented) assessed evidence and opinion concerning five factors that relate to the effectiveness of the crossmatch process, as follows: when the result should be ready for reporting; what level of donor HLA typing is needed; crossmatch sample type and availability; fairness and equity; risks and patient safety. Guidelines aimed at improving practice based on these issues are presented, and we expect that following these will allow H&I laboratories to contribute to reducing CIT in deceased donor kidney transplantation.

Pragmatic Considerations in Incorporating Stakeholder Engagement Into a Palliative Care Transitions Study

BACKGROUND

Stakeholder involvement in health care research has been shown to improve research development, processes, and dissemination. The literature is developing on stakeholder engagement methods and preliminarily validated tools for evaluating stakeholder level of engagement have been proposed for specific stakeholder groups and settings.

OBJECTIVES

This paper describes the methodology for engaging a Study Advisory Committee (SAC) in research and reports on the use of a stakeholder engagement survey for measuring level of engagement.

METHODS

Stakeholders with previous research connections were recruited to the SAC during the planning process for a multicenter randomized control clinical trial, which is ongoing at the time of this writing. All SAC meetings undergo qualitative analysis, while the Stakeholder Engagement Survey instrument developed by the Patient-Centered Outcomes Research Institute (PCORI) is distributed annually for quantitative evaluation.

RESULTS

The trial's SAC is composed of 18 members from 3 stakeholder groups: patients and their caregivers; patient advocacy organizations; and health care payers. After an initial in-person meeting, the SAC meets quarterly by telephone and annually in-person. The SAC monitors research progress and provides feedback on all study processes. The stakeholder engagement survey reveals improved engagement over time as well as continued challenges.

CONCLUSIONS

Stakeholder engagement in the research process has meaningfully contributed to the study design, patient recruitment, and preliminary analysis of findings.