Improvement Of Processes Research Articles

Indicators of primary health care workforce equity for attaining health equity

Abstract Background Healthcare workforce crises are often the result of inequities faced by healthcare workers. This study aims to discuss the primary policy questions related to health equity regarding the primary healthcare (PHC) workforce indicators. Methods Following the purposive review of published literature on HWF equity in PHC services, we applied an intersectional analysis of the compendiums of HWF indicators (e.g., supply, flows, skill mix, working conditions, promotion, training, funding, governance, etc.) to strategically link them to PHC policy issues for health equity and categorized qualitatively under each policy pillar against HWF crises. Results The proposed indicators address the measurement of multiple dimensions of health workforce equity. These include financial and non-financial incentives to monitor worker attrition reduction, gender pay gap, fairness in employment arrangements, remuneration, and working conditions. By monitoring the minimum wage for financially vulnerable health workforce groups, we can identify the need for potential increases to support well-being, reduce turnover, and increase productivity. Equally important is monitoring equity in health workforce education, planning, and management, which is crucial for achieving population health equity. By implementing indicators of health workforce diversity to address rural and underrepresented communities, primary healthcare managers can effectively plan the reduction of their unmet needs and minimize avoidable referrals. Conclusions To ensure equitable access to primary healthcare, we must measure workforce equity and its impact on population health. Monitoring the indicators of equitable health workforce policies and evaluating the improvement in retention and recruitment processes can more effectively address workforce crises. Key messages • Health workforce crises often stem from healthcare workforce inequities. • Health workforce equitable policies require a clear set of indicators.

Artificial Intelligence-Assisted Music Education: A Critical Synthesis of Challenges and Opportunities

Artificial intelligence (AI) is a hot topic that presents new challenges and opportunities for the improvement of educational processes. The disruptive and transformative force of this new technological development implies the adaptation of educational ecosystems for its use and integration as a didactic and pedagogical resource. From this perspective, a systematic literature review has been conducted to analyze the didactic potential of generative AI tools in the field of promoting artistic creativity in music education. The research results confirm that the incorporation of AI in music education is paving the way for a more personalized, interactive and efficient learning experience. In addition, the analysis suggests nine fundamental fields of IA implementation in music education: virtual and augmented reality (VR; VA); learning personalization, intelligent tutoring systems; composition assistants; improved historical and contextual learning; assessment systems; interactive ear training and music theory systems; tools for music collaboration and performance; and assistive technologies. Furthermore, the challenges presented by the intersection of AI and digital didactics in the field of music education are discussed.

MULTIPROPRIEDADES – PROCEDIMENTOS REGISTRAL

The objective of this article is to analyze the registration procedures related to timeshares, a model of shared ownership in which multiple owners have rights to the same property. The research seeks to understand how registration procedures influence the legal security and management of these ventures. The methodology adopted is a literature review. The research is based on a critical analysis of books, academic articles, and relevant legislation on timeshares and their registration procedures. The review is conducted to identify the main challenges, practices, and regulatory standards that impact the registration and management of timeshares. The review covers topics such as the evolution of timeshares, comparisons between different jurisdictions, and current legislation. The reviewed literature shows that timeshares are a model that has grown with tourism and that requires clear registrationto avoid conflicts. The legal and administrative challenges that arise in the practice of registering these ventures are also discussed. The expected results include an in- depth understanding of the registration procedures involved in timeshares and their implications for the legal security of investors. The aim is to identify gaps and areas that require improvements in legislation and registration processes. The results should provide recommendations for improving procedures and creating clearer and more effective guidelines. The conclusion of the article should demonstrate that registration procedures are crucial to the success of timeshares, providing a solid basis for the legal security of those involved. It should be noted that, despite advances in regulation, there are still significant challenges that need to be addressed. It is recommended that standardized practices be implemented and that laws be updated to better meet the needs of this property model.

Appraising correlation between international organisation for standardisation 50001 and green productivity: A study of workers in Baiji, Iraq

Studies have shown that the progress and success of companies are achieved through their ability to improve energy performance and preserve the environment. It would translate to environmentally friendly products. However, there is a paucity of studies regarding the International Organisation for Standardisation (ISO) 50001 and its role in enhancing environmentally friendly products in developing countries such as Iraq. This study investigates the correlation between ISO 50001 standards and green productivity among Baiji's refinery workers in Iraq. Utilising a structured questionnaire, data from 128 respondents were analysed using descriptive and inferential statistics. Results indicate a significant positive correlation between ISO 50001 and green productivity, underscoring the importance of energy management training in enhancing productivity and environmental protection. As part of the study’s implications, it suggests increasing the company’s management’s attention to training in energy management and green productivity. Its positive impact on improving productivity and protecting the environment through continuous improvement of inputs, processes, outputs, and feedback to the company cannot be overstated.

A Decision Support Framework for Resilient and Sustainable Service Design

AbstractResilient and sustainable service design is essential for ensuring the longevity and effectiveness of service systems. However, existing literature often neglects key aspects such as articulating resilience attributes and integrating sustainability dimensions. This study proposes a decision support model for a “resilient-sustainable service design” that merges service design principles with resilient system attributes and organizational sustainability goals. The framework incorporates a multi-objective mathematical programming model and a multi-phased Quality Function Deployment (QFD) approach to derive Pareto optimal solutions using the Brute Force algorithm. Applied in the m-health service sector in Bangladesh, the study reveals significant challenges, including limited awareness of services and logistical inefficiencies. To address these issues, flexible strategies such as demand planning and service innovation are implemented. The findings have direct implications for the improvement of service delivery processes and underscore the importance of considering both resilience and sustainability. While focusing on Bangladesh’s m-health sector, the insights gained have broader relevance globally. The integration of resilience and sustainability principles into service design is crucial for addressing complex challenges across sectors and regions. Future research could involve longitudinal studies to capture evolving resilience strategies and explore resilient-sustainable service systems from a broader perspective. This entails examining various factors such as technological advancements and socio-economic dynamics shaping resilient and sustainable service ecosystems.

A Pilot and Feasibility Study on a Mindfulness-Based Intervention Adapted for LGBTQ+ Adolescents.

(1) Background: Lesbian, gay, bisexual, transgender, queer and other gender and sexual minority-identified (LGBTQ+) adolescents face mental and physical health disparities compared to their heterosexual and cisgender counterparts. Mindfulness-based interventions (MBIs) may be a potential method to intervene upon health disparities in this population. This pilot study explores the initial acceptability and feasibility, along with the descriptive health changes of an online MBI, Learning to Breathe-Queer (L2B-Q), which was adapted to meet the needs of LGBTQ+ adolescents. (2) Methods: Twenty adolescents completed baseline and post-intervention assessments of mental health, stress-related health behaviors, physical stress, and LGBTQ+ identity indicators. In addition, the adolescents participated in a post-intervention focus group providing qualitative feedback regarding the acceptability of L2B-Q. (3) Results: L2B-Q demonstrated feasible recruitment and assessment retention, acceptability of content with areas for improvement in delivery processes, and safety/tolerability. From baseline to post-intervention, adolescents reported decreased depression and anxiety and improved intuitive eating, physical activity, and LGBTQ+ identity self-awareness with moderate-to-large effects. (4) Conclusions: These findings underscore the need and the benefits of adapted interventions among LGBTQ+ youth. L2B-Q warrants continued optimization and testing within the LGBTQ+ adolescent community.

Operational Excellence: Process optimization for competitive edge

This study explores the concept of operational excellence and the role of process optimization in gaining a competitive edge for organizations. Operational excellence involves the continuous improvement of business processes to increase efficiency, reduce waste, enhance quality, and improve overall performance. The study reviews established methodologies such as Lean, Six Sigma, and Total Quality Management (TQM) that provide structured approaches to achieving operational efficiency. It also examines the impact of emerging technologies, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), in driving data-driven decision-making and enhancing process optimization. Additionally, the study highlights the importance of leadership in fostering a culture of continuous improvement and collaboration across departments, ensuring alignment with strategic objectives. The integration of sustainability into operational strategies is discussed as a means to not only improve efficiency but also meet corporate social responsibility goals. The relationship between process optimization and innovation is also explored, showing how operational excellence can free up resources for research and development (R&D) and foster a culture of innovation. Despite the focus on these established practices and technologies, the study acknowledges limitations, particularly the challenges faced by small and medium-sized enterprises (SMEs) and service oriented sectors in implementing these strategies. The study concludes that operational excellence, supported by technological advancements and a strong organizational culture, is essential for organizations to navigate competitive markets, improve customer satisfaction, and achieve long-term success. This research offers valuable insights for businesses aiming to enhance operational performance and sustain their competitive advantage through continuous process optimization and innovation.

Systematic Analysis of Packaging Production in the Electric Motors Industry: A Multi-Criteria Approach through the SAPEVO-M Method

Market competitiveness drives the electric motors industry, which in turn necessitates the selection of optimal production scenarios, particularly in the context of packaging. This is crucial for maintaining competitiveness and meeting the rigorous quality and logistical demands that are characteristic of this industry. This paper presents a systematic analysis of the packaging production chain for electric motors, employing the SAPEVO-M method as a decision aid tool. The study examines various strategic options, including outsourcing and internalizing processes, with a particular focus on their impacts on logistics, quality control, and overall supply-chain efficiency. The research conducts a comprehensive evaluation of these strategies to ascertain the most effective approach for managing the complexities of packaging production. The SAPEVO-M method facilitated a structured decision-making process, allowing for the aggregation and prioritization of diverse criteria such as cost, quality, flexibility, environmental impact, and supply risk. A sensitivity analysis was performed to validate the robustness of the decision-making outcomes under varying alternatives. The findings highlight the benefits of internalizing certain processes, particularly the assembly (with a score of 43.27%), to gain direct control over production variables, leading to enhanced operational efficiency and product competitiveness. This paper contributes to the literature by demonstrating the application of MCDA in enhancing strategic decisions within the electric motors industry, providing insights for analyzing other manufacturing factors in the improvement of supply-chain processes.

SIRE: Catalyst for Improvements in Accounting and Tax Processes

The Integrated Electronic Registration Systems have had a positive impact on the accounting and tax processes of SMEs. The article explored the impact of the Integrated Electronic Registration Systems| (SIRE, from the Spanish initials) on the accounting processes of SMEs in Peru, comparing it with practices in Ecuador and Colombia. For this purpose, 60 professionals participated in the study, which used a quantitative approach and the application of a survey and document analysis. The results of the study were analyzed quantitatively and qualitatively, thus examining how digitalization affects the efficiency and accuracy of accounting and tax processes. In terms of correlation results, there is a 63.10% correlation between SIRE and the accounting processes, while there is a 56% correlation between digital transformation and the accounting processes. Key lessons for policy makers and system designers were identified, emphasizing future reforms to facilitate an effective digital transition. This paper contributes to understanding how digitalization improves the economic performance and tax compliance of SMEs, providing a basis for future research and strategies aimed at integrating these companies into the digital economy.

A Comprehensive Taxonomy of Modern Public Cloud Services for Infrastructure Selection

The rapid adoption of public cloud services has transformed the digital landscape, offering diverse solutions to meet different business needs. However, this diversity of services also presents a challenge: the need for a structured, comprehensive taxonomy to navigate and understand the offerings. This paper presents a comprehensive taxonomy for public cloud services, aiming to provide clarity and structure in this domain. Leveraging extensive market research, analysis of leading industry reports, and insights from top cloud vendors, we have identified key criteria that form the foundation of our taxonomy. The taxonomy passed the validation process, involving industry experts from Ukraine's largest telco operator, ensuring its practical relevance. The results have proven the taxonomy's effectiveness in classifying a wide range of cloud services, highlighting its potential as a valuable tool for businesses, researchers, and cloud practitioners. This research serves as a foundation for future improvement of complex processes of cloud provider selection.

Assessing the Impact of the Way of Saint James on Psychological Distress and Subjective Well-being: The Ultreya Study

This study aimed to examine the impact of a pilgrimage on the Way of St. James on psychological distress and subjective well-being, and to compare these outcomes with a control group on non-pilgrimage vacations. Additionally, the study explored psychological process variables that may mediate the pilgrimage's beneficial effects. A nonrandomized pretest-posttest design was used, involving 444 pilgrims and 124 controls. Participants completed baseline and post-experience self-reported measures of psychological distress, subjective well-being, and psychological processes (i.e., mindfulness, nonattachment, engaged living). A 3-month follow-up was conducted only in the pilgrim group. Mediation analyses examined psychological processes as potential mediators of pre-post change in the pilgrim group (vs. control). Within-group analyses revealed that the pilgrim group experienced improvements in psychological distress, subjective well-being, and psychological processes immediately post-experience, with most measures sustaining improvement at the 3-month follow-up. Compared to the control group, pilgrims showed significantly greater increases in positive affect, life satisfaction, and valued living, alongside greater reductions in anxiety, depression, and perceived stress. Valued living partially mediated the relationship between pilgrimage and positive affect, and fully mediated the effects on perceived stress, negative affect, life satisfaction, and subjective happiness. Pilgrimage on the Way of St. James effectively reduced psychological distress and enhanced subjective well-being, with greater benefits observed compared to a non-pilgrimage vacation control group. Consistent with the concept of pilgrimage as a transformative experience, significant improvements in valued living were noted, which mediated some of the positive outcomes post-pilgrimage. The Way of St. James may serve as a valuable complementary approach for alleviating distress and promoting well-being. Further studies exploring the effects of this pilgrimage on specific populations and using more robust study designs are warranted.Trial Registration ClinicalTrials.gov Identifier NCT04141813.

The influence of longitudinal duct profiling on unsteady gas dynamics and the heat transfer of pulsating gas flows in the outlet system of reciprocating-engine

Heat machines based on reciprocating-engines remain in demand in various fields of engineering and technology. Therefore, further research is needed to improve the efficiency, reliability, and environmental friendliness of engines. The thermomechanical improvement of non-stationary processes in outlet systems is an appropriate way to improve engine performance. The purpose of this research is to obtain and analyse the gas-dynamic and heat transfer characteristics of pulsating gas flows in an outlet system with ducts of various designs, using a laboratory model to simulate the outlet process in an engine. Thermal anemometry is used to receive data on the instant velocity values and local heat transfer coefficient of unsteady flows in ducts. The article examines two designs of outlet ducts, namely cylindrical (basic) and conical (with a taper of 0.0225) ducts. Spectral analysis of velocity, pressure and heat transfer coefficient pulsations, assessment of turbulence intensity, and calculation of flow characteristics of pulsating flows were performed to obtain detailed information on gas dynamics in the outlet system. The use of a conical duct (in comparison with a cylindrical one) leads to a slight increase in the turbulence intensity by up to 12 %, a decrease in the heat transfer coefficient by 15–20 %, and a change in volumetric gas flow within ± 7.5 %. Thus, the use of a conical duct will lead to the stabilisation of the flow in the outlet system, improved cleaning of the cylinder from outlet gases, a reduction in thermal stress, and a slight growth in the specific power of engines.

Unlocking success: Multidisciplinary rounds for effective discharge planning.

341 Background: Multidisciplinary rounds (MDR) streamline collaboration among healthcare professionals across various disciplines to devise patient progress and post-hospitalization transition plans. In our gynecology oncology inpatient unit, coordinating patient care involves multiple teams aiming for discharge objectives. While nurses oversee the care plan, physicians, advanced practice providers, case managers, and other key stakeholders possess essential insights to effective discharge planning. The aim of our study was to evaluate the impact of structured MDR implementation on discharge accuracy, effectiveness, and hospital throughput. Methods: In April 2022, our gynecologic oncology inpatient team implemented structured MDRs to enhance discharge processes, focusing on patient outcomes and hospital throughput. The initiative aimed to identify discharge barriers early, set goals, and address challenges collaboratively through: 1) Interdisciplinary Assessment: Using standardized tools to evaluate patient status and care needs; 2) Review of Clinical Data: Analyzing medical records via EHR systems; 3) Collaborative Decision-Making: Using decision-support tools to set the Estimated Discharge Date (EDD); 4) Patient Engagement: Involving patients and families in shared decision-making; 5) Documentation and Communication: Ensuring clear EDD documentation and effective communication through team huddles, bedside rounds, and discharge planning meetings. EDD reporting, discharge order timing, and patient discharge time were tracked using our Care Team Transformation Dashboard. Results: The implementation of structured MDR led to significant improvements in discharge processes. We observed enhanced accuracy in EDD, with a 2.9% increase, and a notable rise in the completion of discharge orders before 9 am, showing a 60.5% increase (Table). The percentage of patients leaving the hospital before noon increased by 20.4%, highlighting MDRs effectiveness in facilitating timely discharge, enhancing intradisciplinary collaboration, and streamlining discharge efficiency. Conclusions: MDRs play a pivotal role in improving teamwork, quality of care, and patient outcomes. Setting EDDs through structured MDR processes enhances proactive discharge planning, thereby reducing delays and optimizing patient flow, ultimately contributing to the delivery of high-quality, patient-centered healthcare. Measure Preintervention: 1/2023-1/2024 Postintervention02-05/2024 Percentage Increase EDD accuracy 1 day prior 46.9 48.3 2.9% Discharge orders before 9am 33.4 53.6 60.5% Discharges prior to noon 19.1 23.0 20.4%

Cross-border capital flows and low-carbon economic development: Examining the impact of foreign shareholding

This study utilizes data from Shanghai and Shenzhen A-share listed companies from 2011 to 2021 to explore the impact of foreign shareholding on the development of a low-carbon economy and the underlying mechanisms. Findings show that foreign shareholding significantly reduces corporate carbon emissions and promotes corporate environmental responsibility and low-carbon transformation. The paper further investigates how foreign shareholding reduces carbon emissions by increasing corporate investments in environmental protection and driving green innovation. Foreign participation is found to improve the efficiency of corporate resource allocation and innovation capabilities, allowing for continuous improvements in low-carbon technologies and production processes. The study also examines the effect of corporate environmental strategies and green technology advancement on the relationship between foreign shareholding and carbon emissions, revealing the heterogeneity of foreign investment impacts on low-carbon development under different corporate environments and capabilities.

NPTS-PK: A new point kernel code for fast calculation of 3D gamma radiation field

The point kernel integration method is commonly utilized for the analytical calculation of gamma radiation fields in the field of radiation protection and shielding design. This study introduces NPTS-PK, a program developed for rapid calculation of 3D gamma radiation fields based on the NPTS program and the point kernel integration method. Based on the geometric construction and input method of the NPTS program, NPTS-PK supports point kernel calculations for radiation sources and shielding structures of various complex shapes and materials. By calculating material attenuation coefficients using continuous energy cross-section parameters, combined with a more precise buildup factor calculation method, the accuracy of calculation results has been enhanced. Improvements in ray tracing processes and the implementation of the probability neighbor list method have accelerated geometric processing. To address the challenge of excessive computation time associated with large-scale grid counting in point kernel programs, NPTS-PK integrates several efficient acceleration techniques, elevating the speed of radiation field calculation by an order of magnitude. Tests on typical model and engineering scenario demonstrate that the deviation between NPTS-PK results and the reference values is within a few tens of percent, and the computational efficiency and accuracy are improved compared to the standard point kernel programs.

Ultrasonic Enhancement for Mineral Flotation: Technology, Device, and Engineering Applications

In the past five years, the number of articles related to ultrasonic mineral flotation has increased by about 50 per year, and the overall trend is on the rise. The most recent developments in ultrasonics for flotation process intensification are reviewed herein, including effects of ultrasound treatment on an aqueous slurry, improvement in flotation methods and technological processes, device development tracking, and application effects in mineral process engineering. At this point in time, there are pilot-scale flotation tests to evaluate the feasibility of ultrasonic pretreatment technology for industrial use to enhance residue flotation separation, and the results showed that the recovery rate of concentrate is increased by about 10%. Four aspects of ultrasonic flotation process improvement are summarized, namely, changing the ultrasonic parameters, the synergistic effect of ultrasound and reagents, the ultrasonic effect of particles with different-sized fractions, and application to new systems. In addition, the effect of ultrasonic flotation mechanisms is explored through a quadratic model and numerical simulation. The combination of ultrasonic flotation with other fields, such as magnetic fields, to enhance the separation efficiency and recovery of minerals is also a future trend. It is also proposed that ultrasonic flotation technology will be used with big data, industrial Internet of Things, and automatic control technology to achieve deep bundling, optimizing the flotation process by implementing remote monitoring and control of the flotation process.

Utilizing Investment in Fixed Assets and R&D as a Catalyst for Boosting Productivity to Stimulate Economic Growth

Investments form the basis for high-quality economic growth by ensuring renewal of production capacities and improvement of technologies and processes, thereby increasing labor productivity. Investment research is key to understanding its impact on the country’s economic advancement and more effective government policymaking to stimulate investment activity. The purpose of this paper is to study the relationship between fixed capital and R&D investments and labor productivity growth, as well as to determine the optimal level of these investments in determining the greatest effect on labor productivity growth. We use a regression model and the least squares method to empirically analyze data for seven countries for the period between 1997 and 2022. We calculate estimated values using SPSS and Python. The results show a certain impact of fixed assets and R&D investments on labor productivity growth. However, the payoff varies across the countries under study. Furthermore, despite its relatively small volumes, investment in R&D brings a greater effect on productivity growth than investment in fixed capital. With other factors remaining constant, the calculated optimums for investments in fixed assets and R&D show maximum points of growth in labor productivity.

Unlocking employee engagement: Investigating the influence of informational justice in Nigerian banking sector

This study explores the relationship between informational justice and employee engagement. The objectives of the study are to examine the influence of informational justice on affective engagement, behavioral engagement, cognitive engagement, and physical engagement. To guarantee a representative and varied sample of the Nigerian banking industry, a survey design was used, and participants were chosen using the stratified sampling technique. We collected necessary data from primary sources and deemed 209 copies of the 231 distributed questionnaires valid and suitable for the study. Preliminary findings suggest a strong positive relationship between employee engagement levels and perceptions of informational justice. Workers with higher levels of participation in all four categories—behavioral, cognitive, physical, and affective—tend to perceive a high degree of informational justice, where communication is clear, prompt, and comprehensive. This suggests that employees are more likely to be emotionally committed, display positive work behaviors, be intellectually focused, and be physically present in their tasks when they feel well-informed and sense fairness in the sharing of information. The findings contribute to the literature in several ways, including improving the understanding of informational justice in Nigeria's banking sector. Furthermore, the findings offer practical insights for the bank seeking to enhance employee engagement through improvements in communication processes and transparency.

RISK PROCESS MANAGEMENT: A CASE STUDY IN A FINANCIAL INSTITUTION

Purpose: The purpose of this study is to propose a new method for controlling the product "Financial Risk Management" in a multiple bank. The focus is on addressing Model Risk, particularly in the context of financial institutions, where reliance on incorrect statistical models can pose serious problems. Theoretical framework: Model Risk is the possibility of losses due to models with flaws, deficiencies or inadequacies in the development, implementation or use process. Model Risk is considered one of the main problems for financial institutions. With the advancement of technology and the use of more robust models, dependence on incorrect statistical models can cause serious problems for institutions, increasing the need for studies in the area. Methodology/Approach: To conduct the research, the institution's own survey was used, being applied to the analysis of the main financial models built in the last six months in the organization. As a result, the structure of this process was evaluated, action plans and control indicators were proposed, dividing them into the areas of: Data Governance, Systems, Data Quality and Reporting. With this categorization, it was also possible to create a Control Panel for each Area or Department, improving the management necessary to control Risk. Findings: The findings of the study involve the evaluation of the structure of the risk management process, with a particular focus on addressing Model Risk. The research proposes a new method for risk assessment within the context of "Financial Risk Management" in a multiple bank setting. Research, practical & social implications: In terms of research implications, the study contributes by proposing a novel method for controlling financial risk in a banking environment. The practical implication is the potential improvement in risk management processes within financial institutions. Socially, this research may contribute to the overall stability and reliability of financial systems. Originality/ Value: The originality of this study lies in its proposition of a new method for risk assessment within the domain of "Financial Risk Management" in a multiple bank setup. The value of the research is evident in addressing the critical issue of Model Risk, which can have substantial consequences for financial institutions. Keywords: Financial Institution, Financial Risk, Process Management.

Abstract A084: Journey to understanding indigenous peoples engagement in cancer genomic research

Abstract Introduction: Tribal Nations across the Southwest have striking disparities in cancer incidence and mortality. Compounded by disproportionately low rates of cancer screening and limited access to healthcare, Native Americans are more often diagnosed at later stages of disease and have the poorest outcomes in all types of cancer when compared to any other racial and ethnic group in the United States. At the University of New Mexico Comprehensive Cancer Center, the Participant Engagement Cancer Genomic Sequencing (PE-CGS) Center is developing culturally appropriate materials and strategies to enhance the engagement and recruitment of Native Americans into genomic research. This effort aims to determine participant knowledges, attitudes, cultural beliefs, and communication preferences regarding clinical genomics testing. Ultimately, targeting improvement of cancer outcomes in Southwestern Tribal communities. Cultural adaptations are crucial with regards to biospecimen collection, storage, and usage, due to historical mistrust of research among Native communities. (i.e., Havasupai Tribe v. the Arizona Board of Regents). A Tribal Advisory Committee, consisting of Tribal leaders, Native physicians, and patient advocates oversee all aspects of the research study. The goal is to identify appropriate optimized health literacy strategies for engaging Native peoples in cancer genomic research. Methods: The team conducted semi-structured discussions with participants to understand their perspectives on motivations to join, cultural safety components, and effectiveness of engagement strategies. With participant consent, the discussions were recorded and transcribed. Analysis included the transcripts and notes taken by the interviewer and followed Grounded Theory principles. All transcripts and notes followed line-by-line analysis by three of the authors (JS, JR and TG) who met regularly to identify and discuss emergent themes. Results: As of May 31, 2024, the PE-CGS study has enrolled 112 participants and completed 39 discussions. Participants emphasized altruistic motives tied to family and community, echoing traditional values, in their decision to participate in the study. This notion emerged during interactions with Native team members, where comfort stemmed from shared experiences (healthcare system, barriers), use of Native language, and adherence to Native social norms. Additional considerations included present autonomy throughout various stages of the study (sample use, data sharing, discussions). Return of genetic testing results improved understanding of treatment options, hereditary risk, and health literacy. Conclusion: Feedback highlights the importance of aligning cultural beliefs with Western medicine through a strengths-based approach. The findings will inform improvements in respectful engagement, communication, information exchange, and recruitment processes with Native American cancer patients and cancer survivors to genomic testing studies. Citation Format: Jessica Sanchez, Koby Blackwater, Joseph Rodman, Tamar Ginossar, Andrew Sussman, Shiraz Mishra, Cindy Blair, Mallery Quetawki, Debra MacKenzie, V. Shane Pankratz, Ursa Brown-Glaberman, Jeffery Trent, Cheryl Willman. Journey to understanding indigenous peoples engagement in cancer genomic research [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A084.