Clinical Research Directory

iLookOut Micro-learning to Improve Knowledge Retention

This project investigates whether a multi-faceted strategy involving iLookOut's evidence-based Core Training plus an innovative follow-up Micro-Learning can promote knowledge retention and change behavior among early childhood professionals (ECPs) with regard to child abuse and its reporting. Additionally, this study will evaluate if non-ECPs experience similar improvements and retention of knowledge and changes in behavior as do ECPs.

Osteoporosis Awareness in Chronic Spinal Cord Injury

Osteoporosis is a common and serious complication of spinal cord injury (SCI), substantially increasing the risk of fragility fractures. Despite this elevated risk, awareness of osteoporosis among individuals living with SCI is not well understood. This cross-sectional observational study assessed the level of osteoporosis awareness in adults with chronic traumatic SCI and examined which demographic, injury-related, and healthcare-related factors were independently associated with awareness. Ninety-four adults with chronic traumatic SCI completed the Turkish version of the Osteoporosis Awareness Scale, along with a structured questionnaire covering education, injury characteristics, healthcare utilization, and personal health-seeking behaviors. The study aimed to identify modifiable factors linked to higher awareness in order to inform future educational interventions and improve osteoporosis prevention and management in this high-risk population.

Knowledge, Attitude, Practice Survey

This study aimed to assess the knowledge, attitude, and practice(KAP) towards infection-control guidelines among undergraduate and postgraduate dental students in Haryana, and to evaluate the incidence of needlestick/sharp injuries along with hepatitis B immunization status. A cross-sectional questionnaire will be administered to 347 students, including 3rd-year students, final-year students, interns, and postgraduates, using a questionnaire comprised of 4 sections demographic data, knowledge, Attitude and Practice

Development and Validation of an E-learning Module on Systemic Anticancer Therapy and Its Effectiveness on the Knowledge Attitude and Practice of Nurses in Administering Systemic Anticancer Agents at a Specialized Cancer Centres in Oman.

Cancer is becoming more common worldwide. In countries like the United States, cases of breast and colorectal cancer have increased in recent years. A similar pattern is seen in Oman, where breast cancer is the most common cancer among women, and colorectal cancer is the most common among men. As more people are diagnosed with cancer, there is a growing need for safe and effective cancer treatment. One important type of treatment is systemic anticancer therapy (SACT), which includes medications such as chemotherapy, immunotherapy, and targeted therapy. These treatments are powerful and can cause serious side effects if not given correctly. Because of this, nurses who administer these treatments need special knowledge and skills to ensure patient safety. This study aims to develop an online learning (e-learning) program to help nurses improve their knowledge, skills, and confidence in safely administering systemic anticancer therapy. The study will also evaluate whether this e-learning program is effective compared to routine education. The study will be conducted in two major cancer care centers in Oman: the National Oncology Centre at Royal Hospital and the Sultan Qaboos Comprehensive Cancer Care and Research Centre. Nurses working in oncology and hematology units in these centers will be invited to participate. Participants will be divided into two groups. One group will receive access to the e-learning program (intervention group), while the other group will continue with their usual training (control group). The assignment to these groups will be done randomly to ensure fairness. Before starting the program, all participants will complete a questionnaire to assess their current knowledge, attitude, and practices related to systemic anticancer therapy. They will also provide basic information such as their age, years of experience, and previous training. The e-learning program will be developed based on the learning needs of nurses and reviewed by experts in oncology to ensure accuracy and quality. Nurses in the intervention group will be given time to complete the online training. After the training period, all participants (both groups) will complete the same questionnaire again. This will help researchers compare the results before and after the training, as well as between the two groups, to see if the e-learning program made a difference. The study will also assess how satisfied the nurses are with the e-learning program, as learner satisfaction is important for the success of educational interventions. Participation in this study is voluntary. All participants will provide written informed consent before joining the study. They will be informed about the purpose of the study, what they need to do, and their right to withdraw at any time without any negative consequences. All information collected will be kept confidential and used only for research purposes. At the end of the study, nurses in the control group will also be given access to the e-learning program to ensure fairness. The results of this study are expected to show that the e-learning program improves nurses' knowledge, attitudes, and clinical practices in administering systemic anticancer therapy. This may help improve patient safety and the quality of cancer care in Oman.

Effect of an Educational Session for Abortive Women on Maternity Nurses' Practices

The goal of this study is to evaluate the effect of structured educational sessions for abortive women on the practices of maternity nurses. The study aims to enhance nurses' clinical skills and patient care related to abortion management. Participants will: Attend educational sessions designed to improve nursing practices Participate in activities and discussions led by experienced instructors Be observed before and after the sessions to assess changes in clinical practices The study will compare nursing practices before and after the intervention to determine the overall impact of the educational sessions on professional performance and patient care quality.

Planetary Health and Environmental Justice in Construction Career Education

This study tests whether a new educational curriculum can help high school students in construction career programs better understand how building design affects community health and environmental justice. The study compares two approaches: (1) a new "Community-Centered Design" curriculum that uses the Ecosystem Justice Translator (EJT) software tool, which helps students see connections between construction decisions, energy efficiency, nature exposure, and health outcomes in different neighborhoods; versus (2) the traditional construction career curriculum that focuses on technical skills. Students aged 14-18 enrolled in construction career programs will be randomly assigned to one of these two groups. Over 6 months, the intervention group will learn to use the EJT tool and apply environmental justice concepts to construction projects. Researchers will measure how well students understand connections between construction, environment, and health at the start, middle, and end of the program, and again 6 months later. The goal is to determine if integrating environmental justice and health concepts into construction education improves students' awareness of how their future work can help or harm community health, particularly in disadvantaged neighborhoods.

Smart-SABI: Digital Phenotyping of Stroke Access Barriers

This study aims to identify and quantify the non-clinical barriers (social, transport, and knowledge-based) that delay patient arrival at the hospital during an Acute Ischemic Stroke. By utilizing a multimodal approach that combines a validated patient questionnaire (SABI Tool), Geographic Information Systems (GIS) analysis, and biological markers (infarct volume), the investigators seek to develop a Machine Learning model capable of predicting high-risk phenotypes for pre-hospital delay. The ultimate goal is to validate "Social Determinants of Health" against objective biological outcomes.