Search Results (8)

Ongoing interest in the intersection of spirituality and health has prompted a need for integrated research. This report proposes a distinct approach in a model that allows for successful and harmonious cross-fertilization within these latter two areas of interest. Our work is especially pertinent to inquiries around the role of spirituality in mental health, with special attention to chronic pain conditions. The latter have become an open channel for novel avenues to explore the field of spirituality-based interventions within the arena of psychological inquiry. To address this, the authors developed and implemented the Church and Academia Model, a prototype for an innovative collaborative research project, with the aim of exploring the role of devotional practices, and their potential to be used as therapeutic co-adjuvants or tools to enhance the coping skills of patients with chronic pain. Keeping in mind that the church presents a rich landscape for clinical inquiry with broad relevance for clinicians and society at large, we created a unique hybrid research model. This is a new paradigm that focuses on distinct and well-defined studies where the funding, protocol writing, study design, and implementation are shared by experts from both the pastoral and clinical spaces. A team of theologians, researchers, and healthcare providers, including clinical pain psychologists, built a coalition leveraging their respective skill sets. Each expert is housed in their own environs, creating a functional network that has proven academically productive and pastorally effective. Key outputs include the creation and validation of a new psychometric measure, the Pain-related PRAYER Scale (PPRAYERS), an associated bedside prayer tool and a full-scale dissemination strategy through journal publications and specialty society conferences. This collaborative prototype is also an ideal fit for integrated knowledge translation platforms, and it is a promising paradigm for future collaborative projects focused on spirituality and mental health. Full article

As artificial intelligence (AI) integrates within the intersecting domains of healthcare and computational biology, developing interpretable models tailored to medical contexts is met with significant challenges. Explainable AI (XAI) is vital for fostering trust and enabling effective use of AI in healthcare, particularly in image-based specialties such as pathology and radiology where adjunctive AI solutions for diagnostic image analysis are increasingly utilized. Overcoming these challenges necessitates interdisciplinary collaboration, essential for advancing XAI to enhance patient care. This commentary underscores the critical role of interdisciplinary conferences in promoting the necessary cross-disciplinary exchange for XAI innovation. A literature review was conducted to identify key challenges, best practices, and case studies related to interdisciplinary collaboration for XAI in healthcare. The distinctive contributions of specialized conferences in fostering dialogue, driving innovation, and influencing research directions were scrutinized. Best practices and recommendations for fostering collaboration, organizing conferences, and achieving targeted XAI solutions were adapted from the literature. By enabling crucial collaborative junctures that drive XAI progress, interdisciplinary conferences integrate diverse insights to produce new ideas, identify knowledge gaps, crystallize solutions, and spur long-term partnerships that generate high-impact research. Thoughtful structuring of these events, such as including sessions focused on theoretical foundations, real-world applications, and standardized evaluation, along with ample networking opportunities, is key to directing varied expertise toward overcoming core challenges. Successful collaborations depend on building mutual understanding and respect, clear communication, defined roles, and a shared commitment to the ethical development of robust, interpretable models. Specialized conferences are essential to shape the future of explainable AI and computational biology, contributing to improved patient outcomes and healthcare innovations. Recognizing the catalytic power of this collaborative model is key to accelerating the innovation and implementation of interpretable AI in medicine. Full article

Introduction: Work contexts can affect nurses’ work and work outcomes. Work context factors of nurses, patients, or workflow can modulate nurses’ organization of work and determine increased workloads. Aim: The aim of this research was to analyze relationships between factors regarding the patient, the nurse, workflow, and nurses’ work organization, to investigate whether work organization is related to physical, mental, and emotional workloads, and to explore whether one dimension of workload influences the other dimensions. Methods: We used a cross-sectional design based on the Job Demand-Resources theory. We asked registered nurses, working in nine medical-surgical wards across three hospitals in Italy, to self-report on work organization and workloads regarding randomized shifts over three consecutive weeks. Four scales from the QEEW 2.0 questionnaire were used on an online survey for data collection. multivariable linear regressions with structural equation modelling were tested. The study was approved by the three local Ethics Committees. Results: We received 334 questionnaires regarding 125 shifts worked. Patient complexity (β = 0.347), patient specialties (β = 0.127), adequacy of staffing (β = −0.204), collaboration with colleagues (β = −0.155), unscheduled activities (β = 0.213), supply search (β = 0.141), and documentation (β = 0.221) significantly influenced nurses’ work organization. Nurses’ work organization was significantly related to physical, mental, and emotional nursing workloads. Conclusions: the patient, the nurse, and workflow aspects influence nurses’ work organization and workloads. Healthcare organizations, managers, and nurses should explore work settings to identify work turbulences early and implement strategies to improve nursing work conditions and workloads. Full article

COVID-19 has placed substantial stress on healthcare providers in Saudi Arabia as they struggle to avoid contracting the virus, provide continued care for their patients, and protect their own families at home from possible exposure. The demand for care has increased due to the need to treat COVID-19. This pandemic has created a surge in the need for care in select healthcare delivery specialties, forcing other nonurgent or elective care to halt or transition to telehealth. This study provides a timely description of how COVID-19 affected employment, telehealth usage, and interprofessional collaboration. The STROBE checklist was used. We developed a cross-sectional online survey design that is rooted and grounded in the Technology Acceptance Model (TAM). The TAM model allows us to identify characteristics that affect the use of telehealth technologies. The survey was deployed in November 2021 to local healthcare providers in Saudi Arabia. There were 66 individuals in the final sample. Both interprofessional satisfaction on frequency and quality were positively correlated with the frequency of interactions. The odds for satisfaction of frequency and quality were about 12 times (OR = 12.27) and 8 times 110 (OR = 8.24) more, respectively, for the participants with more than three times of interaction than the participants with no interaction at all. We also found that change in telehealth usage during the pandemic was positively associated with the Telehealth Usability Questionnaire (TUQ) scores. The estimated score for the participants who reported an increase in telehealth usage was 5.37, while the scores were lower for the participants reporting ‘no change’ and ‘decreased usage’. Additional training on telehealth use and integration to improve interprofessionalism is needed. Full article

Smallholder coffee producers are the foundation of the specialty coffee industry and are currently facing a set of challenges that threaten the sustainability of the industry. Movement towards a more sustainable specialty coffee sector requires strong collaboration between interdisciplinary researchers and industry stakeholders to develop research projects and interventions that address critical social, economic, and environmental threats to the industry. To improve upon past sector initiatives it is essential that cross-sector collaboration better incorporate and center coffee farmers’ voices, which have often been absent from top-down interventions. This article describes one such collaboration, which investigated agronomic and market system needs of the Guatemalan smallholder coffee sector. We conducted participatory interviews with 33 coffee producers and 22 non-producer key informants, and used mixed-methods analysis of the interview data to better understand the key challenges facing smallholder coffee producers in Guatemala. The following factors emerged: pests and diseases, climate change, price, labor, nutrient management, market access, yield, nurseries and transplants, and technical assistance. Cross-sector, interdisciplinary collaborations that directly address these areas would directly improve the long-term sustainability of the coffee industry by reducing pressures currently limiting specialty coffee production. This research framework can also serve as a model for others interested in conducting interdisciplinary, cross-sector research. Full article

Infectious diseases have been a significant challenge to health and wellbeing from ancient times, with substantial economic implications globally. Despite the advent of technology, infectious diseases continue to affect people of various social statuses and across geographical locations. Understanding some of the drivers of infectious diseases, antimicrobial resistance, vaccination, and vaccine hesitancy is a step towards thriving in the modern world, achieving fewer morbidities and mortalities, and adequately controlling future pandemics. Pharmacists are strategically placed as healthcare team members to promote early disease control through health education, advocacy, cross-professional and specialty collaboration, communal trust-building, research, and global unity. Not forgetting that infectious diseases in the modern world are about people and science, credible crisis communication during the early phases of disease outbreaks paves the way for well-informed guidance globally. Full article

Background: The mucopolysaccharidoses (MPSs) are a group of rare lysosomal storage disorders characterized by the accumulation of glycosaminoglycans (GAGs) and which eventually cause progressive damage to various tissues and organs. We developed a feasible MPS screening algorithm and established a cross-specialty collaboration platform between medical geneticists and other medical specialists based on at-risk criteria to allow for an earlier confirmative diagnosis of MPS. Methods: Children (<19 years of age) with clinical signs and symptoms compatible with MPS were prospectively enrolled from pediatric clinics between July 2013 and June 2018. Urine samples were collected for a non-specific total GAG analysis using the dimethylmethylene blue (DMB) spectrophotometric method, and the quantitation of three urinary GAGs (dermatan sulfate (DS), heparan sulfate (HS), and keratan sulfate (KS)) was performed by liquid chromatography/tandem mass spectrometry (LC-MS/MS). The subjects with elevated urinary GAG levels were recalled for leukocyte enzyme activity assay and genetic testing for confirmation. Results: Among 153 subjects enrolled in this study, 13 had a confirmative diagnosis of MPS (age range, 0.6 to 10.9 years—three with MPS I, four with MPS II, five with MPS IIIB, and one with MPS IVA). The major signs and symptoms with regards to different systems recorded by pediatricians at the time of the decision to test for MPS were the musculoskeletal system (55%), followed by the neurological system (45%) and coarse facial features (39%). For these 13 patients, the median age at the diagnosis of MPS was 2.9 years. The false negative rate of urinary DMB ratio using the dye-based method for these 13 patients was 31%, including one MPS I, two MPS IIIB, and one MPS IVA. However, there were no false negative results with urinary DS, HS and KS using the MS/MS-based method. Conclusions: We established an at-risk population screening program for MPS by measuring urinary GAG fractionation biomarkers using the LC-MS/MS method. The program included medical geneticists and other medical specialists to increase awareness and enable an early diagnosis by detecting MPS at the initial onset of clinical symptoms. Full article

Background: Pediatric subspecialists can participate in the care of obese children. Objective: To describe steps to help subspecialty providers initiate quality improvement efforts in obesity care. Methods: An anonymous patient data download, provider surveys and interviews assessed subspecialty providers’ identification and perspectives of childhood obesity and gathered information on perceived roles and care strategies. Participating divisions received summary analyses of quantitative and qualitative data and met with study leaders to develop visions for division/service-specific care improvement. Results: Among 13 divisions/services, subspecialists’ perceived role varied by specialty; many expressed the need for cross-collaboration. All survey informants agreed that identification was the first step, and expressed interest in obtaining additional resources to improve care. Conclusions: Subspecialists were interested in improving the quality and coordination of obesity care for patients across our tertiary care setting. Developing quality improvement projects to achieve greater pediatric obesity care goals starts with engagement of providers toward better identifying and managing childhood obesity. Full article