Aid Of Tools Research Articles

Bilateral aid to Tajikistan; donor tactics and responses to troubled governance

ABSTRACT The amount and form of aid distributed to foreign countries may depend on the contexts and characteristics of the recipient countries. Donors who have aid relations with poorly governed countries, while emphasizing good governance, may have to adjust aid tools to circumvent weak institutional environments. In keeping with the literature on aid in contexts of weak governance, the paper analyses donors’ strategies in Tajikistan – an understudied country with geostrategic importance to traditional donors – showing how bilateral donors provided controlled aid. Donors disbursed aid mainly in the form of projects, a highly controllable aid type. Donors, while clearly interested in Tajik governance, appeared to sidestep politically sensitive areas probably fearing uncalled-for diplomatic frictions with the Tajik leadership. Nonetheless, donors did touch on some politically sensitive issues via non-state channels, enabling them to avoid direct interactions with Tajik authorities. Operating in poorly governed countries can be complicated for bilateral donors: they are accountable to their domestic taxpayers; they have to devise sophisticated aid strategies to achieve aid efficacy, especially in countries also deemed strategically important; and they cannot risk compromising bilateral relations.

Application of Remote Sensing and Spectroradiometry in Geological Mapping: a case study of Handeni (QDS 148) Block, Eastern Mozambique Belt, Tanzania

This study applies remote sensing (RS) as a geologic mapping aid tool , using Handeni Block of Tanzania as a case study. To achieve the objective of this study, we have utilized various RS processing and image enhancement techniques on multispectral data, including ASTER, Landsat 5, Landsat 8, and Sentinel 2A. The method proved successful whereby both Landsat-5-data with band combination (BC) 7:4:2 and 7:5:4 and band ratio (BR) 5/3:5/1:7/5 and Landsat-8 data with BCs 5:6:7 and 7:6:4 mapped out marble units. Sentinel 2A data (with BC 8:11:3, BRs 12/2:11/2:8/11; 12/4:11/3:11/2 and 12/4:12/2:11/3) together with image enhancement decorrelation stretch on BC 4:3:2 and BC 8:11:3 images succeeded to map other major geologic units. The findings were tested using another approach, an unsupervised classification (K-means algorithm) of Landsat 8 data and unsupervised and supervised classifications by IsoData and minimum distance algorithms, respectively. Similar results were obtained from the image classification whereby Sentinel 2A data produced classified images, which consistently delineate the same lithologies. Geologic structures (lineaments) have been mapped by ASTER DEM data. The result from supervised classification using end-member spectra of the collected representative rock samples also supports the remotely sensed lithologies, demonstrating the usefulness of RS in geologic mapping. The finding of this work have shown that the integration of RS and rock spectral analyses can be used as a robust aiding tool in geologic mapping. The method is more resource efficient than a purely conventional approach.

Development of an Electronic Decision Aid Tool to Facilitate Mainstream Genetic Testing in Ovarian Cancer Patients.

Multigene panel testing is an important component of cancer treatment plans and risk assessment, but there are many different panel options and choosing the most appropriate panel can be challenging for health care providers and patients. Electronic tools have been proposed to help patients make informed decisions about which gene panel to choose by considering their preferences and priorities. An electronic decision aid (DA) tool was developed in line with the International Patient Decision Aids Standards collaboration. The multidisciplinary project team collaborated with an external health care communications agency and the MGH Cancer Center Patient and Family Advisory Council (PFAC) to develop the DA. Surveys of genetic counselors and patients were used to scope the content, and alpha testing was used to refine the design and content. Surveys of genetic counselors (n = 12) and patients (n = 228) identified common themes in discussing panel size and strategies for helping patients decide between panels and in identifying confusing terms for patients and distribution of patients' choices. The DA, organized into 2 major sections, provides educational text, graphics, and videos to guide patients through the decision-making process. Alpha testing feedback from the PFAC (n = 4), genetic counselors (n = 3) and a group of lay people (n = 8) identified areas to improve navigation, simplify wording, and improve layout. The DA developed in this study has the potential to facilitate informed decision-making by patients regarding cancer genetic testing. The distinctive feature of this DA is that it addresses the specific question of which multigene panel may be most suitable for the patient. Its acceptability and effectiveness will be evaluated in future studies.

WITHDRAWN: Advanced decision aid tools: A golden opportunity to further enhance patient care, a financial risk to the field of CCTA —or both?

WITHDRAWN: Advanced decision aid tools: A golden opportunity to further enhance patient care, a financial risk to the field of CCTA —or both?

Digital tool for childhood first aid: app for professionals and caregivers

Resumo Objetivo Descrever o processo de desenvolvimento de um aplicativo de apoio em primeiros socorros infantis para profissionais e cuidadores. Métodos Estudo de produção tecnológica, desenvolvido no sul do Brasil, entre março/2022 e maio/2023, com base nas funcionalidades do método scrum. Concebido em cooperação com uma equipe interprofissional, o aplicativo foi desenvolvido com base em um conjunto de práticas leves e ágeis, o framework denominado Flutter e a linguagem de programação Dart. Resultados O aplicativo, desenvolvido de forma sistemática e participativa com a participação de profissionais da saúde, da educação e cuidadores, demonstrou funcionalidade plausível, acessibilidade, factibilidade e confiabilidade no fornecimento de informações ágeis e seguras em eventos como primeiros socorros infantis. Denominado de SOS Kids, o aplicativo possui interface atrativa, rápido acesso às informações visuais e aos diversos comandos em uma única tela. Os elementos gráficos são interativos, de modo a favorecer a visualização e a tomada de decisão prospectiva. Conclusão O processo de desenvolvimento do aplicativo de apoio em primeiros socorros infantis para profissionais e cuidadores, com base em método embasado em práticas leves e ágeis, demonstrou-se funcional e com potencial para apoiar, de forma eficaz e segura, profissionais da saúde, da educação e cuidadores em geral.

Development of the pediatric neuro-oncology services assessment aid: An assessment tool for pediatric neuro-oncology service delivery capacity.

To enhance the quality of care available for children with central nervous system (CNS) tumors across the world, a systematic evaluation of capacity is needed to identify gaps and prioritize interventions. To that end, we created the pediatric neuro-oncology (PNO) resource assessment aid (PANORAMA) tool. The development of PANORAMA encompassed 3 phases: operationalization, consensus building, and piloting. PANORAMA aimed to capture the elements of the PNO care continuum through domains with weighted assessments reflecting their importance. Responses were ordinally scored to reflect the level of satisfaction. PANORAMA was revised based on feedback at various phases to improve its relevance, usability, and clarity. The operationalization phase identified 14 domains by using 252 questions. The consensus phase involved 15 experts (6 pediatric oncologists, 3 radiation oncologists, 2 neurosurgeons, 2 radiologists, and 2 pathologists). The consensus phase validated the identified domains, questions, and scoring methodology. The PANORAMA domains included national context, hospital infrastructure, organization and service integration, human resources, financing, laboratory, neurosurgery, diagnostic imaging, pathology, chemotherapy, radiotherapy, supportive care, and patient outcomes. PANORAMA was piloted at 13 institutions in 12 countries, representing diverse patient care contexts. Face validity was assessed by examining the correlation between the estimated score by respondents and calculated PANORAMA scores for each domain (r = 0.67, P < .0001). PANORAMA was developed through a systematic, collaborative approach, ensuring its relevance to evaluate core elements of PNO service capacity. Distribution of PANORAMA will enable quantitative service evaluations across institutions, facilitating benchmarking and the prioritization of interventions.

Relationship Between Self-Efficacy and Technology-Based Teaching Styles in Mathematics Education Among Pre-Service Teachers in UPSI

Self-efficacy is defined as a task-specific belief in a person’s potential and ability to master a skill or a task. As the technology is getting sophisticated, teachers are encouraged to apply the technology as teaching aid tool in the class. This research is done to investigate the relationship between the self-efficacy and the technology-based teaching styles of Mathematics pre-service teachers among Sultan Idris University of Education (UPSI) undergraduates. The research design used in this study is correlational study at where 148 AT14 Bachelor of Education (Mathematics) course and AT48 Bachelor of Science (Mathematics) with Education students are the sample. The statistical method used in this study is descriptive statistic which is mean and inferential statistics through Pearson’s correlation were used to study the relationship. The findings show that the level of self-efficacy and practice of technology-based teaching of pre-service teachers is significantly high. The results showed that there was a strong positive significant correlation between the self-efficacy and the technology-based teaching styles of those pre-service teachers (r=0.656, p=0.00, p&lt;0.05). In conclusion, this study unequivocally demonstrates that UPSI’s pre-service teachers are well prepared to train themselves with higher self-esteem and hence applying technology-based teaching style while teaching Mathematics.

The effectiveness of using My Intelligent Buzzlamp in the teaching and learning process

My Intelligent Buzzlamp is a teaching aid tool designed to assist students during practical sessions for examining vehicle electrical systems. This tool facilitates the examination process by providing light and audible beeps as indications of fuse status. This examination process is crucial when issues arise, such as non-functional audio systems or vehicle electronic components. Visual impairment, especially among older mechanics or those facing glare-related problems, as well as difficulties in using a multimeter for examination, are challenges addressed by this innovation. The use of this tool is highly straightforward, where students only need to connect the alligator clip to the battery terminal and touch the tip of the innovation to the fuse terminal. If the fuse is functional and in good condition, the tool will light up and emit a beeping sound. In conclusion, this innovation has succeeded in assisting students in carrying out practical tasks more easily and effectively, conserving labour and space, and reducing the duration of execution.

OUTB: application for decision-support in the outcomes of Tuberculosis

Brazil is among the 30 countries with the highest tuberculosis prevalence, and many studies are trying to understand and fight the harmful outcomes of this disease. In that sense, the following project proposes the development of a mobile application prototype that centralizes diagnosis aid tools for tuberculosis, making the process more transparent for the patient, using the Single Patient Application (SPA) concept. The application was built based on JavaScript and the frameworks chosen were Vue Framework along with Framework7 due to its focus on interface components. Communication with the back-end was done through AJAX calls. As a result, a prototype was built with the five main screens that the user will interact with: authentication/login screen, home screen, list of available algorithms, outcomes algorithm home screen and patient history. The interface design is expected to facilitate the planning of other application areas and contribute to defining business rules. Once implemented on the server side, these rules can support an organized, patient-centered tuberculosis database.

Estimation of HbA1c for DMT2 risk prediction on the Mexican population based in Artificial Neural Networks

In this paper, the main objective is to estimate the percentage of glycosylated hemoglobin through an easily accessible computational platform to estimate the risk of generating type 2 diabetes mellitus in the Mexican population. The estimation of the computational tool is developed through an artificial neural network model, which was trained and validated according to a population sample of 1120 Mexican people between 18 and 59 years old. The model inputs were gender, age, body mass index, waist circumference, weekly food consumption, family history, and whether the person suffers from any chronic degenerative disease other than T2DM. We used the percentage of glycosylated hemoglobin as output, estimated according to a dynamic glucose model. The estimation results present a coefficient of determination of 99 %, demonstrating an acceptable performance of the neural network model. The developed platform is an aid tool for health personnel, which seeks to generate a first approximation to the glycemic status of those communities with a high marginalization index for generating disease prevention strategies.

TESTING OF A WEB-BASED DECISION AID TOOL FOR DEMENTIA CARE PLANNING AMONG CHINESE AMERICAN FAMILY CAREGIVERS

Abstract In the US, the Chinese American population is aging rapidly. It is anticipated that Chinese American family caregivers of loved ones living with dementia will face increasing needs for health care planning. The study aimed to examine the usability and acceptability of a linguistically and culturally appropriate and wen-based decision aid (DA) tool for home care and long-term care planning among Chinese American family caregivers. The DA tool provides caregivers with information on (1) dementia stages, behaviors, symptoms, and care tips, (2) home care and long-term care choices, and their benefits and risks, (3) what matters to you when making care decisions, (4) what else do you need to make your decision, and (5) a summary to facilitating decision making with family and providers. A total of 16 family caregivers were recruited in the study. About 88% of study participants were very satisfied with the DA tool. Key feedback reported by the majority of participants includes: (1) the length and amount of information presented in the tool was just right, (2) this tool can provide sufficient information to make appropriate care decisions for loved ones with dementia., (3) the tool is easy to use and most people would learn to use this tool very quickly, (4) various functions in this tool are well integrated, and (5) I will frequently use this tool to help me discuss dementia care plans and decisions with family and providers. Further intervention with the DA tool can be developed within the Chinese population.

A Visual Aid Tool for Detection of Pancreatic Tumour-Vessel Contact on Staging CT: A Retrospective Cohort Study.

Purpose: In pancreatic adenocarcinoma, the difficult distinction between normal and affected pancreas on CT studies may lead to discordance between the pre-surgical assessment of vessel involvement and intraoperative findings. We hypothesize that a visual aid tool could improve the performance of radiology residents when detecting vascular invasion in pancreatic adenocarcinoma patients. Methods: This study consisted of 94 pancreatic adenocarcinoma patient CTs. The visual aid compared the estimated body fat density of each patient with the densities surrounding the superior mesenteric artery and mapped them onto the CT scan. Four radiology residents annotated the locations of perceived vascular invasion on each scan with the visual aid overlaid on alternating scans. Using 3 expert radiologists as the reference standard, we quantified the area under the receiver operating characteristic curve to determine the performance of the tool. We then used sensitivity, specificity, balanced accuracy ((sensitivity + specificity)/2), and spatial metrics to determine the performance of the residents with and without the tool. Results: The mean area under the curve was 0.80. Radiology residents' sensitivity/specificity/balanced accuracy for predicting vascular invasion were 50%/85%/68% without the tool and 81%/79%/80% with it compared to expert radiologists, and 58%/85%/72% without the tool and 78%/77%/77% with it compared to the surgical pathology. The tool was not found to impact the spatial metrics calculated on the resident annotations of vascular invasion. Conclusion: The improvements provided by the visual aid were predominantly reflected by increased sensitivity and accuracy, indicating the potential of this tool as a learning aid for trainees.

The Use of Virtual Reality as an Aid Tool in the Implementation of a Radiopharmacy Center in a Nuclear Medicine Service

The preparations of radiopharmaceuticals must follow the parameters of quality, efficacy, and safety (pharmaceutical and nuclear), complying with all the requirements established in good manufacturing practices, guaranteed by the physical structure, layout, safety, and radiological protection, which are also fundamental for the correct flow to be followed for excellence in the functioning of the service. One of the main problems is related to the flow of radiopharmaceuticals, which implies exposure to ionizing radiation, which in turn poses serious biological risks to the human body. simple erythema (redness) to the acute radiation syndrome, which can even be lethal. Factors like this corroborate the need for training that simulate real situations, however, situations like this are limited, due to the risk to which a non-specialized professional can be exposed if radioprotection standards are not obeyed. The present work aims to propose and evaluate the use of virtual reality (VR) technology for training and qualification of professionals in a radiopharmacy. The applied methodology was divided into four stages, initially the rules and regulations regarding the Nuclear Medicine Service published by ANVISA, CNEN and international recommendations by the IAEA were analyzed in detail, in the second stage visits were carried out in public and private hospitals in the Rio de Janeiro that present the nuclear medicine service, in the third stage the virtual environment (simulator) was built, and the fourth stage proposed strategies to carry out training, considering a new technique for teaching. The use of virtual reality, through a simulator, allowed the creation of a graphical environment with a realistic appearance, in which the user can navigate in this environment and manipulate the virtual world. Therefore, it is expected that this tool can help in the planning and training of radiopharmacy professionals.

A dedicated risk prediction model of 1-year mortality following endovascular aortic aneurysm repair involving the renal-mesenteric arteries

ObjectiveTreatment goals of prophylactic endovascular aortic repair of complex aneurysms involving the renal-mesenteric arteries (complex endovascular aortic repair [cEVAR]) include achieving both technical success and long-term survival benefit. Mortality within the first year after cEVAR likely indicates treatment failure owing to associated costs and procedural complexity. Notably, no validated clinical decision aid tools exist that reliably predict mortality after cEVAR. The purpose of this study was to derive and validate a preoperative prediction model of 1-year mortality after elective cEVAR. MethodsAll elective cEVARs including fenestrated, branched, and/or chimney procedures for aortic disease extent confined proximally to Ishimaru landing zones 6 to 9 in the Society for Vascular Surgery Vascular Quality Initiative were identified (January 2012 to August 2023). Patients (n = 4053) were randomly divided into training (n = 3039) and validation (n = 1014) datasets. A logistic regression model for 1-year mortality was created and internally validated by bootstrapping the AUC and calibration intercept and slope, and by using the model to predict 1-year mortality in the validation dataset. Independent predictors were assigned an integer score, based on model beta-coefficients, to generate a simplified scoring system to categorize patient risk. ResultsThe overall crude 1-year mortality rate after elective cEVAR was 11.3% (n = 456/4053). Independent preoperative predictors of 1-year mortality included chronic obstructive pulmonary disease, chronic renal insufficiency (creatinine >1.8 mg/dL or dialysis dependence), hemoglobin <12 g/dL, decreasing body mass index, congestive heart failure, increasing age, American Society of Anesthesiologists class ≥IV, current tobacco use, history of peripheral vascular intervention, and increasing extent of aortic disease. The 1-year mortality rate varied from 4% among the 23% of patients classified as low risk to 23% for the 24% classified as high risk. Performance of the model in validation was comparable with performance in the training data. The internally validated scoring system classified patients roughly into quartiles of risk (low, low/medium, medium/high and high), with 52% of patients categorized as medium/high to high risk, which had corresponding 1-year mortality rates of 11% and 23%, respectively. Aneurysm diameter was below Society for Vascular Surgery recommended treatment thresholds (<5.0 cm in females, <5.5 cm in males) in 17% of patients (n = 679/3961), 41% of whom were categorized as medium/high or high risk. This subgroup had significantly increased in-hospital complication rates (18% vs 12%; P = .02) and 1-year mortality (13% vs 5%; P < .0001) compared with patients in the low- or low/medium-risk groups with guideline-compliant aneurysm diameters (≥5.0 cm in females, ≥5.5 cm in males). ConclusionsThis validated preoperative prediction model for 1-year mortality after cEVAR incorporates physiological, functional, and anatomical variables. This novel and simplified scoring system can effectively discriminate mortality risk and, when applied prospectively, may facilitate improved preoperative decision-making, complex aneurysm care delivery, and resource allocation.

Efficacy of a computer based discontinuation strategy to reduce PPI prescriptions: a multicenter cluster-randomized controlled trial

Deprescribing of inappropriate long-term proton pump inhibitors (PPI) is challenging and there is a lack of useful methods for general practitioners to tackle this. The objective of this randomized controlled trial was to evaluate the effectiveness of the electronic decision aid tool arriba-PPI on reduction of long-term PPI intake. Participants (64.5 ± 12.9 years; 54.4% women) with a PPI intake of at least 6 months were randomized to receive either consultation with arriba-PPI from their general practitioner (n = 1256) or treatment as usual (n = 1131). PPI prescriptions were monitored 6 months before, 6 and 12 months after study initiation. In 49.2% of the consultations with arriba-PPI, the general practitioners and their patients made the decision to reduce or discontinue PPI intake. At 6 months, there was a significant reduction by 22.3% (95% CI 18.55 to 25.98; p < 0.0001) of defined daily doses (DDD) of PPI. A reduction of 3.3% (95% CI − 7.18 to + 0.62) was observed in the control group. At 12 months, the reduction of DDD-PPI remained stable in intervention patients (+ 3.5%, 95% CI − 0.99 to + 8.03), whereas control patients showed a reduction of DDD-PPI (− 10.2%, 95% CI − 6.01 to − 14.33). Consultation with arriba-PPI led to reduced prescription rates of PPI in primary care practices. Arriba-PPI can be a helpful tool for general practitioners to start a conversation with their patients about risks of long-term PPI intake, reduction or deprescribing unnecessary PPI medication.

Operational demonstration and process evaluation of non-pneumatic anti-shock garment (NASG) introduction to the public health system of Northern Province, Zambia

BackgroundA disproportionate burden of maternal deaths occurs in low- and middle-income countries (LMICs), and obstetric hemorrhage (OH) is a leading cause of excess mortality. In Zambia, most of maternal deaths are directly caused by OH. The Non-Pneumatic Anti-Shock Garment (NASG) is a first aid tool that uses compression to the abdomen and lower body to stop and reverse hypovolemic shock secondary to OH. We describe the process and experiences introducing the NASG into the Zambia public health system to encourage the development of national policies, clinical guidelines, and implementation plans that feature the NASG.MethodsWe conducted an observational study of NASG introduction to 143 public health facilities in Northern Province, Zambia, organizing observations into the five dimensions of the RE-AIM evaluation framework: reach, effectiveness, adoption, implementation, and maintenance. The NASG was introduced in August 2019, and the introduction was evaluated for 18 months. Data on healthcare worker training and mentorship, cases where NASG was used, and NASG availability and use during the study period were collected and analyzed.ResultsThe NASG was successfully introduced and integrated into the Zambia public health system, and appropriately used by healthcare workers when responding to cases of OH. Sixteen months after NASG introduction, NASGs were available and functional at 99% of study sites and 88% reported ever using a NASG. Of the 68 cases of recorded OH where a NASG was applied, 66 were confirmed as clinically appropriate, and among cases where shock index (SI) could be calculated, 59% had SI ≥ 0.9. Feedback from healthcare providers revealed that 97% thought introducing the NASG was a good decision, and 92% felt confident in their ability to apply the NASG after initial training. The RE-AIM average for this study was 0.65, suggesting a public health impact that is not equivocal, and that NASG introduction had a positive population-based effect.ConclusionsA successful NASG demonstration took place over the course of 18 months in the existing health system of Northern Province, Zambia, suggesting that incorporation of NASG into the standard of care for obstetric emergency in the Zambia public sector is feasible and can be maintained without external support.

Foreign Aid’s Effect on Political Risks for Foreign Direct Investment: A Literature Review

The last decade has seen an increasing focus on the involvement of the private sector in international sustainable development, particularly in high-risk jurisdictions. This involvement encompasses a broad spectrum, incorporating innovative private sector instruments—now acknowledged as ODA-eligible by the OECD—as well as traditional tools of external official support to developing countries, which remain the primary contributors to ODA flows. This literature review aims to consolidate the academic exploration of the enduring classic foreign aid tools' impact on the political risks associated with foreign direct investment (FDI), and identifies prevalent limitations while suggesting approaches to overcome these challenges.The first section delineates the central theme and rationale behind the literature selection process, utilizing the Google Scholar database to contextualize the research within a comprehensive framework. The subsequent section categorizes and compares the most relevant studies based on formal criteria and methodological parameters. Sections three and four critically assess the scholarly contributions in conceptualizing the mitigating influence of foreign aid in general, focusing on its impact on specific political risks such as expropriation, terrorism, and corruption. The concluding section delves into studies that explore foreign aid and foreign direct investment flows from China, the largest non-Western donor.A bibliometric analysis reveals a noteworthy disparity between research attention and policymaking focus on the subject matter. Notably, the selected papers fail to comprehensively cover the full spectrum of primary extra-legal and legal-governmental political risks for transnational businesses. Scholars' assessments of foreign aid's mitigating effect often lack differentiation between grants and loans or between flows directed to different sectors, as well as the distinction between aid routed through public institutions and bypassing them. Notably absent is a comprehensive analysis encompassing the complete range of 'established' Western and emerging non-Western aid providers, or an exploration of aid flows from non-OECD countries other than China. Most research focuses on Africa and fails to differentiate between recipients based on fragility, income levels, or other relevant categorizations. Moreover, the researchers have yet to delve into data post the COVID-19 outbreak, a critical period that significantly altered perceptions of political risk, foreign aid, and FDI flows. The literature review illuminates a research gap awaiting substantial exploration.

Adaptation and implementation of an employee mental health disclosure decision aid tool in a real-world sample.

Making decisions about disclosing mental health conditions in the workplace is complicated. A previous randomized controlled trial showed that web-based decision aid tool (READY?) helped employees make decisions and improved mental health. We aimed to evaluate the implementation of this tool and its outcomes when scaled up by a governmental health and safety agency. We used website analytics and event data of those using the decision aid tool, and self-report stage of decision-making, distress, engagement, and usability data from consenting users of READY? over the first year of it being made publicly available. Over the year 2021, 100 adults opted in to be involved in the research evaluation of the program. This study replicated the previous Randomised Controlled Trial (RCT) that showed at post-intervention; a later stage of decision-making (t1,99 = 6.308, P < .001) with a large effect size (d = 0.87), and psychological distress was significantly reduced (t1,99 = 3.088, P < .001) with a moderate effect size (d = 0.41). READY? facilitated disclosure with 36.3% deciding to disclose after use. Disclosure was associated with a greater reduction in mental ill-health symptoms than non-disclosure [F(2,31) = 18.67, P < .001] with a moderate effect size (d = 0.64). Engagement, usage, and attrition rates were favourable when compared with other digital mental health approaches in community samples. This study shows that READY? is successfully implemented in a real-world sample. Aligning with the RCT results, for many, disclosure can be positive, research should continue to focus on developing organization-wide tools to create better supported and safe workplaces that promote disclosure.

Excavation of the Suspect's Identity by Analysis of the Speaker Profiling Case Evidence of Fake Voice Recordings

Technological developments, especially in AI applications, allow someone to commit criminal acts by changing other people's voices. This study implements forensic linguistics by comparing data sources on the audio of Lesti (L) and Rizky Billar (RB) to ensure the originality of the sounds. The Speaker Profiling method with aural-perception analysis is used because there is no valid comparative evidence, so the audio comparison is taken from the L and RB platforms published to the public. This research resulted in two different aspects of each audio: phonetics and acoustics. These two aspects show the two audio sources' differences in pronunciation, emphasis, frequency, and tone. As a result, the vote is identified as a hoax. This research can demonstrate the use of software to help identify individual language profiles; it contributes to the development of applied linguistics, especially as a legal aid tool. Researchers hope that there will be further research from other linguists that will address more benefits of using AI / Corpus technology as a linguistic analysis tool, both with spoken and written data.

Feasibility of implementing an intervention to reduce burden of adjuvant therapy for older women with low-risk breast cancer.

445 Background: In patients ≥70 with early stage (pT1, c/p N0), hormone-receptor positive/ HER2 negative breast cancer, there is an opportunity to reduce adjuvant treatment burden through short-course radiotherapy (RT) approaches and/or endocrine therapy (ET) monotherapy. However, practices may vary in approach to treatment, necessitating differences in approach to interventions designed to tailor decision-making. Methods: Site needs assessment and semi-structured stakeholder interviews at 6 Minority Underserved NCORP sites was conducted, including 3 radiation oncologists (RO), 2 medical oncologists (MO), 1 research coordinator, and 2 breast surgeons (BS). Participant responses were manually recorded and used to construct structural and workflow maps for the possible patient care pathways across the 6 sites. Baseline information on ET and RT use was collected. A planned multi-level intervention that includes patient questionnaires (including a mortality risk calculator) to inform tailored decision-making, and education on guideline-concordant, lower burden options was introduced and dominant themes for barriers and facilitators of the intervention were abstracted. Results: Patients followed multiple pathways and received care at more than one site. The 6 sites span urban, suburban, and rural areas with variable presence of provider types (RO, MO, BS), research support, and RT technology. At baseline, patient reported data, geriatric assessments, mortality risk calculators, and decision aid tools were not routinely used. About 85% of eligible patients receive both ET and moderately hypofractionated whole breast RT; the only commonly used form of partial breast RT is intra-operative. Themes were physician acceptability of the intervention, multidisciplinary care, and physician willingness to offer lower burden treatment options. Physician acceptability subthemes included high baseline guideline knowledge, interest in mortality risk calculator use, need for support to interpret and incorporate patient questionnaire data, and variable physician research engagement. Multidisciplinary care facilitators were multi-campus tumor boards and strong research support staff; barriers were variable insurance across providers and surgeon-driven care plan expectations. Lower burden care subthemes included support for ET for almost all patients; barriers to RT omission were concern about ET non-adherence and to short-course RT were lack of data and toxicity concerns in patients with larger body habitus/resultant RT dose inhomogeneity. Conclusions: Results demonstrated multiple barriers and facilitators of interventions targeting lower burden treatment options for low-risk early-stage breast cancer and identified physician education about interpretation/use of patient-reported data and mortality risk assessments as key to successful study design.