Search

The International Society of Nephrology Global Kidney Health Atlas charts the availability and capacity of kidney care globally. In the North America and the Caribbean region, the Atlas can identify opportunities for kidney care improvement, particularly in Caribbean countries where structures for systematic data collection are lacking. In this third iteration, respondents from 12 of 18 countries from the region reported a 2-fold higher than global median prevalence of dialysis and transplantation, and a 3-fold higher than global median prevalence of dialysis centers. The peritoneal dialysis prevalence was lower than the global median, and transplantation data were missing from 6 of the 10 Caribbean countries. Government-funded payments predominated for dialysis modalities, with greater heterogeneity in transplantation payor mix. Services for chronic kidney disease, such as monitoring of anemia and blood pressure, and diagnostic capability relying on serum creatinine and urinalyses were universally available. Notable exceptions in Caribbean countries included non-calcium-based phosphate binders and kidney biopsy services. Personnel shortages were reported across the region. Kidney failure was identified as a governmental priority more commonly than was chronic kidney disease or acute kidney injury. In this generally affluent region, patients have better access to kidney replacement therapy and chronic kidney disease-related services than in much of the world. Yet clear heterogeneity exists, especially among the Caribbean countries struggling with dialysis and personnel capacity. Important steps to improve kidney care in the region include increased emphasis on preventive care, a focus on home-based modalities and transplantation, and solutions to train and retain specialized allied health professionals.

Abstract Background The Ryan White Medical Case Management System, which serves more than half of people living with HIV (PLWH) in the USA, is an opportune setting for identifying and addressing depression among PLWH. A growing body of research suggests that interventions that promote positive emotion may lessen symptoms of depression and improve physical and psychological well-being among people experiencing a variety of health-related stress, including living with HIV. Research on how best to integrate standardized mental health screening and referral to evidence-based interventions in Ryan White Medical Case Management settings has the potential to improve the health and wellbeing of PLWH. Methods This mixed-methods study will enroll up to N = 300 Ryan White clients who screen positive for depressive symptoms in ORCHID (Optimizing Resilience and Coping with HIV through Internet Delivery), a web-based, self-guided positive emotion regulation intervention. The study will be conducted in 16 Ryan White Medical Case Management clinics in Chicago, IL. Following pre-implementation surveys and interviews with Medical Case Managers (MCMs) and Supervisors to develop an implementation facilitation strategy, we will conduct a hybrid type 2 implementation-effectiveness stepped wedge cluster randomized trial to iteratively improve the screening and referral process via interviews with MCMs in each wedge. We will test the effectiveness of ORCHID on depression and HIV care outcomes for PLWH enrolled in the program. RE-AIM is the implementation outcomes framework and the Consolidated Framework for Implementation Research is the implementation determinants framework. Discussion Study findings have the potential to improve mental health and substance use screening of Ryan White clients, decrease depression and improve HIV care outcomes, and inform the implementation of other evidence-based interventions in the Ryan White Medical Case Management System. Trial registration ClinicalTrials.gov NCT05123144. Trial registered 6/24/2021

We report a human-in-the-loop implementation of the multi-objective experimental design via a Bayesian optimization platform (EDBO+) towards the optimization of butylpyridinium bromide synthesis under continuous flow conditions. The algorithm simultaneously optimized reaction yield and production rate (or space-time yield) and generated a well defined Pareto front. The versatility of EDBO+ was demonstrated by expanding the reaction space mid-campaign by increasing the upper temperature limit. Incorporation of continuous flow techniques enabled improved control over reaction parameters compared to common batch chemistry processes, while providing a route towards future automated syntheses and improved scalability. To that end, we applied the open-source Python module, nmrglue, for semi-automated nuclear magnetic resonance (NMR) spectroscopy analysis, and compared the acquired outputs against those obtained through manual processing methods from spectra collected on both low-field (60 MHz) and high-field (400 MHz) NMR spectrometers. The EDBO+ based model was retrained with these four different datasets and the resulting Pareto front predictions provided insight into the effect of data analysis on model predictions. Finally, quaternization of poly(4-vinylpyridine) with bromobutane illustrated the extension of continuous flow chemistry to synthesize functional materials.

Background: Climate change impacts health and threatens the stability of care delivery systems, while healthcare is mobilizing to reduce its significant environmental impact. Objective: This study aimed to assess knowledge, attitudes, and practices (KAP) about climate change among Canadian kidney care providers. Design, setting, participants, measurements, and methods: An electronic KAP survey, created by the Canadian Society of Nephrology-Sustainable Nephrology Action Planning committee, was distributed to kidney care providers across Canada, from March to April 2023. Results: A total of 516 people responded to the survey. Most respondents (79%) identified as women; 83% were aged 30 to 59 years. Nurses and nephrologists made up 44% and 23% of respondents, respectively. About half of the participants felt informed about climate change to an average degree. Most respondents (71%; 349/495 and 62%; 300/489) were either extremely or very concerned about climate change and waste generated in their kidney care program, respectively. The vast majority of respondents (89%; 441/495) reported taking steps to lower their personal carbon footprint. People who felt more informed about climate change presented higher degrees of concern. Similarly, both those who felt more informed and those who reported higher degrees of concern about climate change were more likely to take steps to reduce their carbon footprint. Over 80% of respondents (314/386) were at least moderately interested in learning sessions about environmentally sustainable initiatives in care. Limitations: This survey is at risk of social acceptability, representative, and subjective bias. Overrepresentation from Quebec and British Columbia, as well as the majority of respondents identifying as women and working in academic centers, may affect generalizability of the findings. Conclusions: Most kidney care providers who responded to this survey are informed and concerned about climate change, and their knowledge is directly associated with attitude and practices. This indicates that educational initiatives to increase awareness and knowledge on climate change will likely lead to practice changes.

Objective and Approach The Canadian Longitudinal Study on Aging (CLSA) is the largest national longitudinal cohort study, following ~50,000 adults across 10 provinces for at least 20 years. Health Data Research Network (HDRN) Canada is a distributed pan-Canadian network including members in all 13 provinces and territories. In February 2021, the organizations partnered with the objective to provide researchers with efficient access to multi-regional CLSA data linked to other health/health-related data through HDRN Canada’s data centres. A Steering Committee was convened including representatives from all parties to oversee the process from data sharing agreements (DSAs), negotiating terms of access, through to data transfer and linkage. Results In Spring 2024, linkage was complete at four data centres (Ontario, New Brunswick, British Columbia, and Nova Scotia), with a DSA also in place for Newfoundland and Labrador. DSAs are nearing approval at three others (Manitoba, Prince Edward Island, and Quebec), and in progress in Alberta. Saskatchewan is working towards participation. Conclusions The HDRN Canada-CLSA partnership is on the way to making linked provincial CLSA cohort data available in all participating jurisdictions, facilitated by streamlined agreements and processes. Implications Collaborative efforts of organizations such as HDRN Canada and CLSA to foster data linkages and streamline data access at a multi-regional level offers an unparalleled opportunity to explore the intersection between aging and health care utilization. Research enabled by this initiative will inform health care decision making and evidence-based policy development at multiple levels, from the individual to multiple levels of government.

A network of organizations works together to support multi-regional health research across Canada. The network comprises 13+ provincial/territorial and pan-Canadian data centres, which collectively hold 500+ data assets. Although the network actively pursues new administrative or clinical data assets, linking to external research data is also a growing need in the contemporary research landscape. Data from the network’s centres can be linked to external data sources such as that from: researchers’ trials or studies; disease or population-based registries; and data sources from other organizations or custodians. Consultations held with data centers clarified their processes for linking to external data, by identifying and mapping local linkage features to a general linkage model. Local processes for data linkage, including necessary agreements and approval steps are now modelled and documented, and available to researchers and the data centres as a resource. This information helps streamline data access and linkages to data assets across the network and externally. Operationally, the network is currently working on 11 data access requests involving linkage to external data, of which three are expected to deliver final data to researchers by spring 2024. Collaboration with data centres, affiliated organizations, and researchers are foundational in the development of linkage models across the network. These models play a critical role in making linkages across data sources within Canada more efficient and standardized. Data linkages across data assets support the utility of data and health innovation.

A network of organizations works together to facilitate multi-regional research across Canada. This network is streamlining the traditionally burdensome data access process, a major part of which is a project’s data assembly plan (DAP). A framework is proposed for the development of a DAP usable by researchers and multiple data centres across Canada. The network of 13 provincial/territorial and pan-Canadian data centres collaborated to understand variations in data request processes and local requirements. During this collaboration, partners used an iterative approach to review local forms, processes, and undertake consultations with the research community, and to identify critical components of the DAP. In April 2022, the network launched the centrally provisioned, standardized DAP form, which to date has been deployed by approximately five projects. Users have found the DAP’s unique aggregation and documentation capabilities particularly helpful. Overall, the preliminary feedback from researchers has been positive. The DAP has allowed aggregation of specific details about a project’s data requirements: cohort definition(s), data extraction(s) and analytical plans, in a single unified form. The DAP is an important component in streamlining the process for requesting data from multiple provinces/territories, organizations, and data sources. The DAP has ensured consistency across the network’s data centres that are providing data, supporting data linkage, and helping safeguard the quality of analytical results. Further process improvements are anticipated to address user experience feedback and to promote quality research.

A network of organizations collaborates to provide services to facilitate multi-regional research across Canada. To streamline the data access process, the network is developing a dictionary of information items (InfoItems), providing a label and definition that represent a semantic sourced from an ontology (e.g., “human birth date” from a demography ontology). This allows for a standardized and shareable means to express data requirements. Inspired by health-research common data models (CDMs) like those from the Observational Medical Outcomes Partnership (OMOP) and the Canadian Network for Observational Drug Effects (CNODES), approximately 60 InfoItems were developed by the network. As a pilot exercise, four data centres mapped their data assets to the InfoItems to ensure they are relevant to the Canadian health data context. This has laid the foundation for InfoItems as a basic data harmonization mechanism. The new InfoItems-based data dictionary promotes the standardization of data asset contents across the network’s data centres. Researchers can use the dictionary to specify a project’s data requirements, establishing details like data availability across multiple regions, for inclusion in their data access request. The InfoItems dictionary is pivotal in simplifying data access requests, promoting multi-regional research in Canada. This resource can simultaneously safeguard the quality of analytical results and optimize data extraction into existing data models (e.g., health-research CDMs). Ongoing improvements in this area aim to enhance user experience and facilitate quality research.

Abstract Background Case managers play a vital role in integrating the necessary services to optimise health-related goals and outcomes. Studies suggest that in home care, case managers encounter tensions in their day-to-day work, that is, disjuncture between what they should do, in theory, and what they actually do, in practice. However, direct exploration of these tensions is lacking. As such, this study aimed to describe the tensions encountered by case managers in public home care for older adults in Quebec and their influence on day-to-day work. Methods An institutional ethnography was conducted through observations of work, interviews and a survey with case managers working in home care in Quebec. Data were analysed using institutional ethnography first-level analysis procedures. This included mapping the work sequences as well as identifying the tensions experienced by case managers through the words they used. Results Three main tensions were identified. First, case managers perceive that, despite working to return hospitalised older adults at home safely, their work also aims to help free up hospital beds. Thus, they often find themselves needing to respond quickly to hospital-related inquiries or expedite requests for home care services. Second, they are supposed to delegate the care to “partners” (e.g., private organisations). However, they feel that they are in effect managing the quality of the services provided by the “partners.” Consequently, they go to great lengths to ensure that good care will be provided. Finally, they must choose between meeting organisational requirements (e.g., reporting statistics about the work, documenting information in the older adults’ file, doing mandatory assessments) and spending time providing direct care. This often leads to prioritising direct care provision over administrative tasks, resulting in minimal reporting of essential information. Conclusion The results are discussed using the three lenses of professional practice context analyses (i.e., accountability, ethics, and professional-as-worker) to formulate recommendations for practice and research. They suggest that, despite their important role, case managers have limited power in home care (e.g., with partners, with the hospital).

BackgroundPopulation-level monitoring of adolescent mental health is a critical public health activity used to help define local, state, and federal priorities. The Youth Risk Behavior Surveillance System includes a single-item measure of experiences of sadness or hopelessness as an indicator of risk to mental health. In 2021, 42% of high school students reported having felt sad or hopeless for 2 weeks or more during the past 12 months. The high prevalence of US high school students with this experience has been highlighted in recent studies and media reports. ObjectiveThis study seeks to examine associations between this single-item measure of experiences of sadness or hopelessness with other indicators of poor mental health including frequent mental distress and depressive symptoms. MethodsWe analyzed survey data from a national sample of 737 adolescents aged 15-19 years as a part of the Teen and Parent Surveys of Health. Participants were recruited from AmeriSpeak, a probability-based panel designed to be representative of the US household population. Feeling sad or hopeless was operationalized as a “yes” response to the item, “During the past 12 months, did you ever feel so sad or hopeless almost every day for 2 weeks or more in a row that you stopped doing some usual activities?” Unadjusted and adjusted prevalence ratios (aPRs) were calculated to examine associations between the single-item measure of having felt sad or hopeless almost every day for 2 weeks with moderate to severe depressive symptoms, frequent mental distress, and functional limitation due to poor mental health. Adjusted models controlled for age, race and ethnicity, sex assigned at birth, and sexual identity. ResultsOverall, 17.3% (unweighted: 138/735) of adolescents reported that they felt sad or hopeless for 2 weeks or more during the past 12 months, 30.2% (unweighted: 204/716) reported moderate to severe depressive symptoms, 18.4% (unweighted: 126/732) reported frequent mental distress, and 15.4% (unweighted: 107/735) reported functional limitation due to poor mental health. After adjusting for demographics, adolescents who reported that they felt sad or hopeless for 2 weeks or more were 3.3 times as likely to report moderate to severe depressive symptoms (aPR 3.28, 95% CI 2.39-4.50), 4.8 times as likely to indicate frequent mental distress (aPR 4.75, 95% CI 2.92-7.74), and 7.8 times as likely to indicate mental health usually or always interfered with their ability to do things (aPR 7.78, 95% CI 4.88-12.41). ConclusionsAssociations between having felt sad or hopeless for 2 weeks or more and moderate to severe depressive symptoms, frequent mental distress, and functional limitation due to poor mental health suggest the single-item indicator may represent relevant symptoms associated with poor mental health and be associated with unmet health needs. Findings suggest the single-item indicator provides a population-level snapshot of adolescent experiences of poor mental health.

La notion de transparence ressort régulièrement des discussions autour des utilisations secondaires des données de santé. Peu d’études se penchent toutefois sur les impacts de la présence ou de l’absence de transparence ou de son absence sur les membres du public. Cette revue de littérature répond à cette lacune. Elle résulte d’une analyse secondaire de 124 textes issus d’une recension de la portée sur la transparence conformément aux lignes directrices PRISMAS-ScR. Les résultats contribuent à identifier les impacts négatifs ou positifs et à les associer à certaines composantes communicationnelles relatives aux utilisations secondaires de données de santé. Ils permettent également d’identifier les composantes associées à une communication jugée transparente ou opaque par les parties prenantes. La transparence, et plus particulièrement la continuité de la communication, est fortement associée à une augmentation de la confiance et de l’acceptabilité sociale alors qu’en général, les membres du public perçoivent négativement un manque de transparence. Cette revue de littérature approfondit également les connaissances sur les risques d’impacts négatifs de la communication transparente.

PURPOSE: Despite therapeutic advances in the treatment of ovarian cancer (OC), 5-year survival remains low, and patients eventually die from recurrent, chemotherapy-resistant disease. The National Cancer Gynecologic Cancer Steering Committee identified the integration of scientifically defined subgroups as a top strategic priority in clinical trial planning. METHODS: A group of experts was convened to review the scientific literature in OC to identify validated predictive biomarkers that could inform patient selection and treatment stratification. Here, we report on these findings and their potential for use in future clinical trial design on the basis of hierarchal evidence grading. RESULTS: The biomarkers were classified on the basis of mechanistic targeting, including DNA repair and replication stress, immunotherapy and tumor microenvironment, oncogenic signaling, and angiogenesis. Currently, BRCA mutations and homologous recombination deficiency to predict poly (ADP-ribose) polymerase inhibitor response are supported in OC by the highest level of evidence. Additional biomarkers of response to agents targeting the pathways above have been identified but require prospective validation. CONCLUSION: Although a number of biomarkers of response to various agents in OC have been described in the literature, high-level evidence for the majority is lacking. This report highlights the unmet need for identification and validation of predictive biomarkers to guide therapy and future trial design in OC.

Conventional numerical solutions developed to describe the geomechanical behavior of rock interfaces subjected to differential load emphasize peak and residual shear strengths. The detailed analysis of pre- and post-peak shear stress-displacement behavior is central to various time-dependent and dynamic rock mechanic problems such as rockbursts and structural instabilities in highly stressed conditions. The complete stress-displacement surface (CSDS) model was developed to describe analytically the pre- and post-peak behavior of rock interfaces under differential loads. Original formulations of the CSDS model required extensive curve-fitting iterations which limited its practical applicability and transparent integration into engineering tools. The present work proposes modifications to the CSDS model aimed at developing a comprehensive and modern calibration protocol to describe the complete shear stress-displacement behavior of rock interfaces under differential loads. The proposed update to the CSDS model incorporates the concept of mobilized shear strength to enhance the post-peak formulations. Barton's concepts of joint roughness coefficient (JRC) and joint compressive strength (JCS) are incorporated to facilitate empirical estimations for peak shear stress and normal closure relations. Triaxial/uniaxial compression test and direct shear test results are used to validate the updated model and exemplify the proposed calibration method. The results illustrate that the revised model successfully predicts the post-peak and complete axial stress–strain and shear stress–displacement curves for rock joints.