Clinical Care Environment Research Articles

The number of patient scheduled hours resulting in a 40-hour work week by physician specialty and setting: a cross-sectional study using electronic health record event log data.

To quantify how many patient scheduled hours would result in a 40-h work week (PSH40) for ambulatory physicians and to determine how PSH40 varies by specialty and practice type. We calculated PSH40 for 186188 ambulatory physicians across 395 organizations from November 2021 through April 2022 stratified by specialty. Median PSH40 for the sample was 33.2 h (IQR: 28.7-36.5). PSH40 was lowest in infectious disease (26.2, IQR: 21.6-31.1), geriatrics (27.2, IQR: 21.5-32.0) and hematology (28.6, IQR: 23.6-32.6) and highest in plastic surgery (35.7, IQR: 32.8-37.7), pain medicine (35.8, IQR: 32.6-37.9) and sports medicine (36.0, IQR: 33.3-38.1). Health system leaders and physicians will benefit from data driven and transparent discussions about work hour expectations. The PSH40 measure can also be used to quantify the impact of variations in the clinical care environment on the in-person ambulatory patient care time available to physicians. PSH40 is a novel measure that can be generated from vendor-derived metrics and used by operational leaders to inform work expectations. It can also support research into the impact of changes in the care environment on physicians' workload and capacity.

A qualitative study of negative sociocultural experiences of accessing primary health care services among Africans from refugee backgrounds in Australia: implications for organisational health literacy

BackgroundPrimary health care is the first point of contact for patients from refugee backgrounds in the Australian health system. Sociocultural factors, including beliefs and value systems, are salient determinants of health literacy and access to primary health care services. Although African refugees in Australia have diverse sociocultural backgrounds, little is known about the influence of sociocultural factors on their experiences of accessing primary health care services. Guided by the theoretical framework of access to health care, this study examined from the perspective of African refugees how culturally and religiously conditioned, constructed and bound health beliefs, knowledge and practices influence their experiences of access to, acceptance and use of primary health care services and information in Australia.MethodsThis exploratory, qualitative study involved 19 African refugees from nine countries living in New South Wales, Australia. Semi-structured interviews were conducted and recorded using Zoom software. The interviews were transcribed verbatim and analysed using a bottom-up thematic analytical approach for theme generation.ResultsFour main themes were identified. The themes included: participants' experiences of services as inaccessible and monocultural and providing information in a culturally unsafe and insensitive manner; the impact of the clinical care environment; meeting expectations and needs; and overcoming access challenges and reclaiming power and autonomy through familiar means. The findings generally support four dimensions in the access to health care framework, including approachability, acceptability, availability and accommodation and appropriateness.ConclusionAfrican refugees experience significant social and cultural challenges in accessing primary health care services. These challenges could be due to a lack of literacy on the part of health services and their providers in servicing the needs of African refugees. This is an important finding that needs to be addressed by the Australian health care system and services. Enhancing organisational health literacy through evidence-informed strategies in primary health systems and services can help reduce disparities in health access and outcomes that may be exacerbated by cultural, linguistic and religious differences.

Is the Medical Oncology Workforce in Canada in Jeopardy? Findings from the Canadian Association of Medical Oncologists' COVID-19 Impact Survey Series.

The COVID-19 (C19) pandemic introduced challenges in all areas of the Canadian healthcare system. Along with adaptations to clinical care environments, there was increasing concern about physician burnout during this time. The Canadian Association of Medical Oncologists (CAMO) has examined the effects of the pandemic on the medical oncology (MO) workforce. A series of four multiple choice web-based surveys distributed to MOs who were identified using the Royal College of Physicians and Surgeons directory and CAMO membership in May 2020 (S1), July 2020 (S2), December 2020 (S3), and March 2022 (S4). Descriptive analyses were performed for each survey, and a Chi-square test (α = 0.05) was used to assess factors associated with planned change in practice in S4. The majority of respondents work in a comprehensive cancer center S1/S2/S3/S4 (87%/86%81%/88%) and have been in practice >10 years (56%/61%/50%/64%). The most commonly reported personal challenges were physical (60%) and mental (60%) wellness. In S4, 47% of MOs reported dissatisfaction with their current work-life balance. In total, 83% reported that their workload has increased since the beginning of C19, and 51% of MOs reported their future career plans have been impacted by C19. In total, 56% of respondents are considering retiring or reducing total working hours in the next 5 years. Since the onset of the C19 pandemic, there are concerns identified with wellness, increasing workload, and job dissatisfaction among MOs, associated with experienced staff who have >10 years in practice. As rates of cancer prevalence rise and treatments become more complex, it is crucial to address the concerns raised in these surveys to ensure that we have a stable MO workforce in the future.

An Innovative Device Based on Human-Machine Interface (HMI) for Powered Wheelchair Control for Neurodegenerative Disease: A Proof-of-Concept.

In the global context, advancements in technology and science have rendered virtual, augmented, and mixed-reality technologies capable of transforming clinical care and medical environments by offering enhanced features and improved healthcare services. This paper aims to present a mixed reality-based system to control a robotic wheelchair for people with limited mobility. The test group comprised 11 healthy subjects (six male, five female, mean age 35.2 ± 11.7 years). A novel platform that integrates a smart wheelchair and an eye-tracking-enabled head-mounted display was proposed to reduce the cognitive requirements needed for wheelchair movement and control. The approach's effectiveness was demonstrated by evaluating our system in realistic scenarios. The demonstration of the proposed AR head-mounted display user interface for controlling a smart wheelchair and the results provided in this paper could highlight the potential of the HoloLens 2-based innovative solutions and bring focus to emerging research topics, such as remote control, cognitive rehabilitation, the implementation of patient autonomy with severe disabilities, and telemedicine.

Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability.

Semantic interoperability facilitates the exchange of and access to health data that are being documented in electronic health records (EHRs) with various semantic features. The main goals of semantic interoperability development entail patient data availability and use in diverse EHRs without a loss of meaning. Internationally, current initiatives aim to enhance semantic development of EHR data and, consequently, the availability of patient data. Interoperability between health information systems is among the core goals of the European Health Data Space regulation proposal and the World Health Organization's Global Strategy on Digital Health 2020-2025. To achieve integrated health data ecosystems, stakeholders need to overcome challenges of implementing semantic interoperability elements. To research the available scientific evidence on semantic interoperability development, we defined the following research questions: What are the key elements of and approaches for building semantic interoperability integrated in EHRs? What kinds of goals are driving the development? and What kinds of clinical benefits are perceived following this development? Our research questions focused on key aspects and approaches for semantic interoperability and on possible clinical and semantic benefits of these choices in the context of EHRs. Therefore, we performed a systematic literature review in PubMed by defining our study framework based on previous research. Our analysis consisted of 14 studies where data models, ontologies, terminologies, classifications, and standards were applied for building interoperability. All articles reported clinical benefits of the selected approach to enhancing semantic interoperability. We identified 3 main categories: increasing the availability of data for clinicians (n=6, 43%), increasing the quality of care (n=4, 29%), and enhancing clinical data use and reuse for varied purposes (n=4, 29%). Regarding semantic development goals, data harmonization and developing semantic interoperability between different EHRs was the largest category (n=8, 57%). Enhancing health data quality through standardization (n=5, 36%) and developing EHR-integrated tools based on interoperable data (n=1, 7%) were the other identified categories. The results were closely coupled with the need to build usable and computable data out of heterogeneous medical information that is accessible through various EHRs and databases (eg, registers). When heading toward semantic harmonization of clinical data, more experiences and analyses are needed to assess how applicable the chosen solutions are for semantic interoperability of health care data. Instead of promoting a single approach, semantic interoperability should be assessed through several levels of semantic requirements A dual model or multimodel approach is possibly usable to address different semantic interoperability issues during development. The objectives of semantic interoperability are to be achieved in diffuse and disconnected clinical care environments. Therefore, approaches for enhancing clinical data availability should be well prepared, thought out, and justified to meet economically sustainable and long-term outcomes.

Cardiology career satisfaction: a little academic activity goes a long way.

The professional landscape for clinical cardiologists and most physicians has changed dramatically in the last decade in the United States. By the end of 2020, 87% of cardiologists were integrated with a health system (employed or part of a professional services agreement). Physicians transitioning to a large employer are often dissatisfied with the lack of autonomy and the pressure from "one-size-fits-all" productivity targets. The results from physician surveys indicate that physicians practicing clinically in an academic environment have greater job satisfaction. Potentially even a modest amount of time comprising 10-20% of total effort spent on academic pursuits that are most meaningful to the individual physician can result in nearly a two-thirds lower risk of burnout compared with physicians who don't receive this time. The opportunity to participate in this special topic compendium by cardiovascular specialists at one regional integrated health system in the United States is an example of an opportunity to successfully incorporate meaningful professional academic opportunities into a clinical care environment.

Abstract P322: Mapping Geographic Variation in Hypertension Prevalence in United States Congressional Districts Using Spatial Modeling

Introduction: Using spatial methods to explore drivers of hypertension (HTN) risks, commonalities, and differences across geographical areas can be assessed to inform future public health research and advocacy efforts. Objectives: To examine ecological associations between social determinants of health (SDoH), space, and HTN across congressional districts (CDs) in effect for the 118th US Congress. Methods: We obtained aggregate district-level data from Congressional District Health Dashboard on health behaviors, exposures, and outcomes for US CDs in 2019. Primary outcome was HTN prevalence, defined as proportion of adults who self-reported diagnosed HTN. Exposure variables were SDoH: health outcomes (diabetes, obesity, frequent physical and mental distress), health behaviors (physical activity, binge drinking, smoking), clinical care (routine checkups), and physical environment (air pollution). We fitted a hierarchical Bayesian Besag-York-Mollié model using the integrated nested Laplace approximation (INLA) method, which allowed the estimation of spatial autocorrelation of HTN prevalence at CDs level, accounting for SDoH. Results: Across 421 CDs, we found a variation in the modeled linear proportion of 83% across the CDs in the United States after adjusting for known HTN risk factors at the CDs level. A notable degree of variation in HTN prevalence exists within specific CDs, independent of recognized risk factors ( Figure ). These unmeasured variables act as confounding elements, and districts with darker shading indicate increased HTN attributed to the district, while lighter, red-shaded districts exhibit a reduced district-specific proportion of HTN. Conclusions: Our findings show significant geographic variation of HTN beyond known risk factors which underscores the significance of adopting a spatial perspective to understand HTN prevalence. It emphasizes the necessity for tailored public health interventions that consider the unique geographic context of each CDs.

A nurses eye-view on the Aspects of adult Patients’ health Literacy

Objective: Currently, health literacy is a hot topic worldwide. It is important for all age groups, for every individual and for society as a whole. Health literacy refers to the ability to obtain, understand and use information related to health and healthcare. The aim of the study was to identify problems related to health literacy that patients encounter in the context of their own healthcare and at the same time clarify the views of nurses on the education and health literacy of older patients. Design: Qualitative research using the technique of semi-structured interviews. Participants: Interviews were conducted with 10 senior healthcare workers (9 women, 1 man) from four healthcare facilities in the Czech Republic and Slovakia. The average age of the participants was 48 years (SD = 6.65, median 47, range 38 – 60). Methods: The method of content analysis was used to analyze the obtained data. The obtained data were processed based on the analysis using open and thematic coding and categorization. Results and conclusion: Barriers and strategies used by patients in managing their health were identified. These barriers and strategies were grouped into three themes and nine categories. Health literacy screening in a clinical care environment would not only be a beneficial tool in the care of elderly patients. Healthcare managers and senior healthcare workers should develop strategies to create environments and resources supportive of health literacy interventions.

Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis

IntroductionRural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, and determine at-risk county profiles alongside rural settings. MethodsPatients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results (SEER) data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings (CHR). There were 757,655 patients representing 596 counties (of 3143 in the US) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to five-year all-cause survival and the contribution of the rural effect indirectly through CHR domains. Latent class analysis and survival models identified county groupings and estimated the hazard of mortality associated with class membership. ResultsRankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% less survival time compared to urban patients. Of this, 4.1%-12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban-lower risk counties (HR, 1.04, 95%CI 1.01-1.08 and 1.07, 95%CI, 1.03-1.11). ConclusionsCounties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social & economic factors, elevated the risk for rural counties.

Evaluation of the contribution of county characteristics to the rural mortality disparity in cancer.

173 Background: Rural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to characterize what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, we propose to estimate the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, identify county profiles, and determine problematic county profiles alongside rural settings. Methods: Patients with cancers (known to be associated with rural disparities) between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data. We then linked these data to the 2010 County Health Rankings (CHR) which ranks US counties into quartiles within their state based on measures of health: morbidity, mortality, health behaviors, physical environment, socioeconomic status, clinical care environment. We dichotomized each domain as least healthy (quartiles 3 and 4) and most healthy (quartiles 1 and 2). Rurality was defined using the 2010 Rural-Urban Commuting Codes. Using mediation analyses, we estimated 1) the direct contribution of rurality to five-year all-cause and cancer-specific mortality and 2) the contribution of the rural effect indirectly through each CHR domain. We then used latent class analysis to identify county groupings based on rankings. Using flexible parametric survival models, we estimated the hazard of mortality associated with class membership, rurality and the interaction between rurality and class. Results: Among the 757,655 patients representing 596 counties, 51% were female, the most frequent diagnoses were breast and prostate (21%, respectively), 52% were diagnosed with localized disease, and 54% were diagnosed between 55y and 65y. When setting the mediator at least healthy (quartiles 3 and 4) premature death, clinical care, and physical environment, the rural patients had 17.9% to 20.2% less survival time compared to those in rural counties. Of this, 4.1% to 12.6% of the total excess risk was mediated by these characteristics. Three county classes were identified: Class 1 (28%) had consistently poor rankings, Class 2 (32%) had moderate rankings but poor clinical care, and Class 3 (41%) had consistently high rankings except for physical environment. Patients living in rural-high risk counties (class 1 and 2) saw higher all-cause mortality than those in urban-lower risk counties (reference class 3; HR, 1.04, 95%CI 1.01-1.08 and 1.07, 95%CI, 1.03-1.11). Conclusions: County characteristics mediated the relationship between rurality and mortality among patients with cancer. Counties with poor rankings had increased mortality risks regardless of rurality; however, the poor rankings elevated the mortality risk for those in rural counties. Access to care and physical environment may be actionable points of intervention in the pathway from rurality to mortality.

Use of Elastomeric Half-Mask Respirator in the Clinical Care Environment: Health Care Worker Perceptions.

Elastomeric half-mask respirators (EHMR) reduce health care workers' exposure to airborne hazards including bioaerosols but have primarily been used in the industrial setting. To assess health care workers' perceptions, attitudes, and experiences wearing EHMRs in a clinical environment. Employees within a single health care system who wore the EHMR continuously during their shift completed an investigator developed survey. Descriptive statistics and thematic analysis were used. Of the 8273 EHMR "fit-tested" eligible employees, 1478 met inclusion criteria and participated. Respondents reported that they felt well protected with the EHMR and confident in their care and maintenance of the EHMR. Although skin changes developed, they were primarily managed by adjusting the straps. Clarity of communication was a concern across all respondents and disciplines. The EHMR was preferred over reusing the N95 although clarity in communication was challenging.

Understanding critical factors associated with integration of community health workers into health and hospital systems

ABSTRACT Community health worker (CHW) models have been shown to improve health behaviors and health outcomes and reduce cost, particularly among low-income underserved populations. Consequently, health systems are increasingly employing CHWs to provide health services in clinical environments. A growing body of the literature suggests that effective integration of CHWs within the healthcare system is important to achieve the desired outcomes, but the question of how to achieve effective integration is less clear. This study seeks to explore the integration of CHWs within a large state university health system to identify factors critical to the effective integration of CHWs into the clinical care environment. We conducted a qualitative descriptive multiple embedded case study of the University of Illinois at Chicago’s Hospital and Health Science System (UI Health). The embedded subunits of analysis were teams within the UI Health System that currently employ CHWs to assist with the provision of clinical care or services to patients. Data were collected via semi-structured interviews and document review. In total, six sub-units were enrolled, and 17 interviews were conducted with CHWs (n = 9), and administrators or healthcare providers (n = 8). Fourteen factors related to effective CHW integration were identified and organized in four categories: individual, team, organization, and community. Findings suggest that in addition to commonly recognized elements of effective CHW models including training, supervision, and the presence of a champion, programs must consider the organizational context in which the program is positioned as well as the ways in which both CHWs and the organization engage with communities served. This research can serve as a roadmap for health systems that seek to integrate CHWs within healthcare services and can be used to promote best practice in CHW integration.

A Novel Use of an Electronic Differential Diagnosis Generator in the Emergency Department Setting.

Introduction The ability of electronic differential diagnosis (DDx) tools to generate accurate diagnoses has been well established in simulation and primary care clinical environments. However, the use of such tools has not been well studied in the emergency department (ED). We aimed to characterize the use and perceptions of a DDx tool among emergency medicine (EM) clinicians who were newly provided with access to such a tool. Methods We performed a pilot study investigating the utilization of a DDx tool by clinicians in an ED setting shortly after the tool was introduced. After six months of use, retrospective data were analyzed to characterize the use of the tool among ED clinicians. The clinicians were also surveyed on their perceptions of the use of the tool in the ED setting. Results There were 224 total queries, which were regarding 107 unique patients. The most searched symptoms were related to constitutional, dermatologic, and gastrointestinal complaints whereas symptoms related to toxicology and trauma were less commonly searched. Survey respondents rated the tool favorably, and when not used, reported reasons including forgetting that the tool was available for use, not feeling the need to use the tool, and disruption to workflow. Conclusions Electronic DDx tools may have some utility in assisting ED clinicians in generating a DDx, however, clinician adoption and workflow integration are barriers to their utility.

Technological support for people with Parkinson’s disease: a narrative review

Background. Parkinson’s disease resulting from the degeneration of specific areas of the brain, can cause severely disabling symptoms, such as freezing of gait. Freezing of gait increases the risk of falls through worsening of physical mobility, muscle stiffening, slow uncoordinated movements and often leads to hospitalization with significant worsening of quality of life for such patients. Indeed, older patients are at a significantly higher risk of negative outcomes related to PD. Objective. This work focuses on the most recent findings regarding non-invasive intervention and monitoring strategies to counteract the effects of freezing of gait. In addition, several devices can also provide support for diagnosis, treatment, and quality of daily life, especially in older patients with PD. Methods. This narrative review describes the current state of the art of devices based on cueing, monitoring and rehabilitation systems. Fifty- seven studies were selected. Results. Overall findings demonstrates that these smart devices can act as a valid aid tools able to: i) learn patient motor habits in order to intervene during a freezing of gait episode, ii) monitor daily conditions, iii) send and store data on disease progression, iv) provide useful information for rehabilitation programs in a clinical or home care environment. Conclusions. These technologies hold excellent prospects for patient treatment tailoring, especially in older patients in home care.

Work system factors affecting COVID-19 PPE use: A human factors approach to analysis of video recordings of emergency department clinical work

Background: The effectiveness of PPE in preventing self-contamination of healthcare workers (HCWs) and transmission of pathogens (airborne and contact) in the emergency department (ED) is highly dependent on consistent, appropriate use of and other interactions (eg, storing, cleaning, etc) with the PPE. Pre–COVID-19 studies focused primarily on individual HCW contributions to incorrect or suboptimal PPE use. We conducted an analysis of ED video recordings using a human-factors engineering framework (ie, The Systems Engineering Initiative for Patient Safety, SEIPS), to identify work-system–level contributions to inappropriate PPE usage by HCWs while they provide care in their actual clinical care environment. Methods: In total, 47 video sessions (each ~15 minute) were recorded between June 2020 and May 2021 using a GoPro camera in an 8-bed pod area, designated for persons under investigation (PUI) and confirmed COVID-19–positive patients, in an ED of a large, tertiary-care, academic medical center. These recordings captured a ‘landscape view’: 2 video cameras were set up to capture the entire ED pod area and HCWs as they provided care. A team with hemorrhagic fever expertise, infection prevention and control expertise, and ED expertise reviewed each video together and extracted data using a semistructured form. Results: Guided by the 5 components of the SEIPS work system model, (ie, task, physical environment, person, organization, tools and technology), multiple work system failure points influencing HCWs appropriate use of PPE were identified. For example, under the task component, HCWs were observed not doffing and donning in recommended sequence. Also, inconsistencies with COVID-19 status signage on a patient’s door and ambiguous labelling of work areas designated as clean (donning) and dirty (doffing) sites acted as a barrier to appropriate PPE use under the physical environment section. Conclusions: Human factors–based analysis of video recordings of actual ED work identified a variety of work system factors that impede appropriate or correct use of PPE by HCWs. Future efforts to improve appropriate PPE use should focus on eliminating or mitigating the effects of these work system factors.Funding: US CDCDisclosures: The authors gratefully acknowledge the CDC for funding this work. This material is based upon work supported by the Naval Sea Systems Command (under contract No. N00024-13-D-6400, Task Order NH076). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Naval Sea Systems Command (NAVSEA) or the US CDC.

Developing a leadership and management competency framework for nurse champion: A qualitative study from Shanghai, China.

To develop a leadership and management competency framework applicable to Chinese nurse champions guided by the competency matrix for clinical nurse leader (CNL). As the clinical leaders and future nurse manager candidates in the Chinese clinical setting, nurse champions are in great need of leadership and management competency training, but it is unclear what content should be included in the training curriculum, a guiding framework applicable to Chinese nurse champions was needed to be constructed. This study used a qualitative descriptive design to explore nurse champions' competency requirements from clinical nurse managers' perspective. Semi-structure interviews guided by the CNL competency matrix were conducted with 27 clinical nurse managers from six large-scale tertiary grade A hospitals in Shanghai, China. Interview transcripts were analysed using deductive and inductive content analysis. The data analysis yielded three main categories: nursing leadership, clinical outcome management and care environment management, containing 14 subordinate themes, which represent the leadership and management competencies needed for nurse champions. A leadership and management competency framework for Chinese nurse champion was built in this study, which covering the competencies needed by Chinese nurse champions to lead care teams, improve quality of care for patient outcomes and enhance systems and equipment for the better care environment. This framework will be the direct basis for guiding the development of the nurse leadership curriculum for driving nurse champion to achieve role success. This framework provides a theoretical foundation for clarifying the role of nurse champion in clinical management. Training curriculum guided by this framework will help nurses in their clinical management role and share the burden of clinical nursing managers, as well as promote the development of a clinical nursing management reserve talents and support the future development of nursing staff in health care organisations.

Nursing students' experiences of moral uncertainty in the context of global health practicums.

More students than ever are electing to take part in international practicums from health-related disciplines. With the goal of better understanding the moral experiences and ethical implications of global health practicums (GHPs), the purpose of this Interpretive Descriptive study was to examine the moral uncertainty of nursing students from one university in Canada. Seventeen nurses who had participated in a GHP in their undergraduate nursing program participated in semi-structured interviews. Data were analyzed inductively using constant comparative data analysis techniques, and a thematic account of participants' experiences was developed. Findings suggest that nursing students experienced considerable amounts of moral uncertainty during their GHP. Most often, participants' experiences of uncertainty stemmed from a misalignment between their expectations and reality, including encountering different approaches to healthcare, being situated in new cultural and clinical care environments, and grappling with how best to stay within one's scope of student professional practice. Participants inconsistently reflected on these experiences, which may present a missed opportunity for professional growth through the development of a heightened social consciousness. Educators can facilitate this process by implementing robust predeparture training for GHPs, clarifying program objectives, and providing clinical debriefing.

Examining the Drivers of Racial/Ethnic Disparities in Non-Adherence to Antihypertensive Medications and Mortality Due to Heart Disease and Stroke: A County-Level Analysis.

Background: Prior research has identified disparities in anti-hypertensive medication (AHM) non-adherence between Black/African Americans (BAAs) and non-Hispanic Whites (nHWs) but the role of determinants of health in these gaps is unclear. Non-adherence to AHM may be associated with increased mortality (due to heart disease and stroke) and the extent to which such associations are modified by contextual determinants of health may inform future interventions. Methods: We linked the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014–2016) and the 2016 County Health Ranking (CHR) dataset to investigate the associations between AHM non-adherence, mortality, and determinants of health. A proportion of days covered (PDC) with AHM < 80%, was considered as non-adherence. We computed the prevalence rate ratio (PRR)—the ratio of the prevalence among BAAs to that among nHWs—as an index of BAA–nHW disparity. Hierarchical linear models (HLM) were used to assess the role of four pre-defined determinants of health domains—health behaviors, clinical care, social and economic and physical environment—as contributors to BAA–nHW disparities in AHM non-adherence. A Bayesian paradigm framework was used to quantify the associations between AHM non-adherence and mortality (heart disease and stroke) and to assess whether the determinants of health factors moderated these associations. Results: Overall, BAAs were significantly more likely to be non-adherent: PRR = 1.37, 95% Confidence Interval (CI):1.36, 1.37. The four county-level constructs of determinants of health accounted for 24% of the BAA-nHW variation in AHM non-adherence. The clinical care (β = −0.21, p < 0.001) and social and economic (β = −0.11, p < 0.01) domains were significantly inversely associated with the observed BAA–nHW disparity. AHM non-adherence was associated with both heart disease and stroke mortality among both BAAs and nHWs. We observed that the determinants of health, specifically clinical care and physical environment domains, moderated the effects of AHM non-adherence on heart disease mortality among BAAs but not among nHWs. For the AHM non-adherence-stroke mortality association, the determinants of health did not moderate this association among BAAs; the social and economic domain did moderate this association among nHWs. Conclusions: The socioeconomic, clinical care and physical environmental attributes of the places that patients live are significant contributors to BAA–nHW disparities in AHM non-adherence and mortality due to heart diseases and stroke.

Syndemic Framework Evaluation of Severe COVID-19 Outcomes in the United States: Factors Associated With Race and Ethnicity.

Socially and economically disadvantaged racial and ethnic minorities have experienced comparatively severe clinical outcomes from the coronavirus disease (COVID-19) pandemic in the United States. Disparities in health outcomes arise from a myriad of synergistic biomedical and societal factors. Syndemic theory provides a useful framework for examining COVID-19 and other diseases that disproportionately affect vulnerable populations. Syndemic models ground research inquiries beyond individual clinical data to include non-biological community-based drivers of SARS-CoV-2 infection risk and severity of disease. Given the importance of such economic, environmental, and sociopolitical drivers in COVID-19, our aim in this Perspective is to examine entrenched racial and ethnic health inequalities and the magnitude of associated disease burdens, economic disenfranchisement, healthcare barriers, and hostile sociopolitical contexts—all salient syndemic factors brought into focus by the pandemic. Systemic racism persists within long-term care, health financing, and clinical care environments. We present proximal and distal public policy strategies that may mitigate the impact of this and future pandemics.

Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction.

The details presented in this article revolve around a sophisticated monitoring framework equipped with knowledge representation and computer vision capabilities, that aims to provide innovative solutions and support services in the healthcare sector, with a focus on clinical and non-clinical rehabilitation and care environments for people with mobility problems. In contemporary pervasive systems most modern virtual agents have specific reactions when interacting with humans and usually lack extended dialogue and cognitive competences. The presented tool aims to provide natural human-computer multi-modal interaction via exploitation of state-of-the-art technologies in computer vision, speech recognition and synthesis, knowledge representation, sensor data analysis, and by leveraging prior clinical knowledge and patient history through an intelligent, ontology-driven, dialogue manager with reasoning capabilities, which can also access a web search and retrieval engine module. The framework’s main contribution lies in its versatility to combine different technologies, while its inherent capability to monitor patient behaviour allows doctors and caregivers to spend less time collecting patient-related information and focus on healthcare. Moreover, by capitalising on voice, sensor and camera data, it may bolster patients’ confidence levels and encourage them to naturally interact with the virtual agent, drastically improving their moral during a recuperation process.