Sexual Health Education from the Perspective of School Staff: Implications for Adoption and Implementation of Effective Programs in Middle School

Introduction: US teens are having sex early; however, the vast majority of schools do not implement evidence-based sexual health education (SHE) programs that could delay sexual behavior and/or reduce risky behavior. This study examines middle school staff’s knowledge, attitudes, barriers, self-efficacy, and perceived support (psychosocial factors known to influence SHE program adoption and implementation). Methods: Professional school staff from 33 southeast Texas middle schools completed an internet or paper-based survey. Prevalence estimates for psychosocial variables were computed for the total sample. Chi-square and t-test analyses examined variation by demographic factors. Results: Almost 70% of participants were female, 37% white, 42% black, 16% Hispanic; 20% administrators, 15% nurses/counselors, 31% non-physical education/non-health teachers, 28% physical education/health teachers; mean age = 42.78 years (SD = 10.9). Over 90% favored middle school SHE, and over 75% reported awareness of available SHE curricula or policies. More than 60% expressed confidence for discussing SHE. Staff perceived varying levels of administrator (28%-56%) support for SHE and varying levels of support for comprehensive sex education from outside stakeholders (e.g., parents, community leaders) (42%-85%). Overall, results were more favorable for physical education/health teachers, nurses/counselors, and administrators (when compared to non-physical education/non-health teachers) and individuals with experience teaching SHE. Few significant differences were observed by other demographic factors. Conclusions: Overall, study results were extremely positive, which may reflect a high level of readiness among school staff for adopting and implementing effective middle school SHE programs. Study results highlight the importance of several key action items for schools.

Design and implementation of a multicriteria medical decision support system for diagnosis and treatment

Health care providers face the problem of trying to make decisions with inadequate information and also with an overload of (often contradictory) information. Physicians often choose treatment long before they know which disease is present. Indeed, uncertainty is intrinsic to the practice of medicine. Decision analysis can help physicians structure and work through a medical decision problem, and can provide reassurance that decisions are rational and consistent with the beliefs and preferences of other physicians and patients. ^ The primary purpose of this research project is to develop the theory, methods, techniques and tools necessary for designing and implementing a system to support solving medical decision problems. A case study involving “abdominal pain” serves as a prototype for implementing the system. The research, however, focuses on a generic class of problems and aims at covering theoretical as well as practical aspects of the system developed. ^ The main contributions of this research are: (1) bridging the gap between the statistical approach and the knowledge-based (expert) approach to medical decision making; (2) linking a collection of methods, techniques and tools together to allow for the design of a medical decision support system, based on a framework that involves the Analytic Network Process (ANP), the generalization of the Analytic Hierarchy Process (AHP) to dependence and feedback, for problems involving diagnosis and treatment; (3) enhancing the representation and manipulation of uncertainty in the ANP framework by incorporating group consensus weights; and (4) developing a computer program to assist in the implementation of the system. ^