7 resultados para effective knowledge integration

em DigitalCommons@The Texas Medical Center


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BACKGROUND: We have carried out an extensive qualitative research program focused on the barriers and facilitators to successful adoption and use of various features of advanced, state-of-the-art electronic health records (EHRs) within large, academic, teaching facilities with long-standing EHR research and development programs. We have recently begun investigating smaller, community hospitals and out-patient clinics that rely on commercially-available EHRs. We sought to assess whether the current generation of commercially-available EHRs are capable of providing the clinical knowledge management features, functions, tools, and techniques required to deliver and maintain the clinical decision support (CDS) interventions required to support the recently defined "meaningful use" criteria. METHODS: We developed and fielded a 17-question survey to representatives from nine commercially available EHR vendors and four leading internally developed EHRs. The first part of the survey asked basic questions about the vendor's EHR. The second part asked specifically about the CDS-related system tools and capabilities that each vendor provides. The final section asked about clinical content. RESULTS: All of the vendors and institutions have multiple modules capable of providing clinical decision support interventions to clinicians. The majority of the systems were capable of performing almost all of the key knowledge management functions we identified. CONCLUSION: If these well-designed commercially-available systems are coupled with the other key socio-technical concepts required for safe and effective EHR implementation and use, and organizations have access to implementable clinical knowledge, we expect that the transformation of the healthcare enterprise that so many have predicted, is achievable using commercially-available, state-of-the-art EHRs.

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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.

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Under the Clean Air Act, Congress granted discretionary decision making authority to the Administrator of the Environmental Protection Agency (EPA). This discretionary authority involves setting standards to protect the public's health with an "adequate margin of safety" based on current scientific knowledge. The Administrator of the EPA is usually not a scientist, and for the National Ambient Air Quality Standard (NAAQS) for particulate matter (PM), the Administrator faced the task of revising a standard when several scientific factors were ambiguous. These factors included: (1) no identifiable threshold below which health effects are not manifested, (2) no biological basis to explain the reported associations between particulate matter and adverse health effects, and (3) no consensus among the members of the Clean Air Scientific Advisory Committee (CASAC) as to what an appropriate PM indicator, averaging period, or value would be for the revised standard. ^ This project recommends and demonstrates a tool, integrated assessment (IA), to aid the Administrator in making a public health policy decision in the face of ambiguous scientific factors. IA is an interdisciplinary approach to decision making that has been used to deal with complex issues involving many uncertainties, particularly climate change analyses. Two IA approaches are presented; a rough set analysis by which the expertise of CASAC members can be better utilized, and a flag model for incorporating the views of stakeholders into the standard setting process. ^ The rough set analysis can describe minimal and maximal conditions about the current science pertaining to PM and health effects. Similarly, a flag model can evaluate agreement or lack of agreement by various stakeholder groups to the proposed standard in the PM review process. ^ The use of these IA tools will enable the Administrator to (1) complete the NAAQS review in a manner that is in closer compliance with the Clean Air Act, (2) expand the input from CASAC, (3) take into consideration the views of the stakeholders, and (4) retain discretionary decision making authority. ^

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Influenza and pneumonia together comprise the seventh leading cause of death among adults in the U.S and were responsible for 65,163 deaths in 2003 and an average of 36,000 deaths per year in the United States from 1990 to 1999. Vaccination is efficacious and cost-effective in terms of preventing the infection and reducing both health care costs and productivity losses associated with influenza illness. The vaccine shortage of 2004–2005 resulted in a 39% decrease in the influenza vaccine supplies. During the fall of 2004, we conducted a nationwide, random-digit dialing, telephonic-interview survey of 1,202 adults aged 18 years and older to ascertain influenza vaccine knowledge, attitude and behavior. Of the 1,202 total interviewed subjects, 44.7% had received or intended to receive vaccine at the time of the survey (2004–05) and 39.6% had received the influenza vaccine the previous year (2003–04). Receipt of vaccine increased with previous receipt of the influenza vaccine (OR 13.17, 95% CI 8.65–20.08), increased motivation status (OR 7.58, 95% CI 4.03–14.25), subjective risk status (OR 3.33, 95% CI 2.23–4.97), age (OR 1.83, 95% CI 1.22–2.75) and previous receipt of the pneumococcal vaccine (OR 1.75, 95% CI 1.02–3.0). The influenza vaccine shortage of 2004–05 did not have a negative impact on the vaccination rates of study population. In addition to the increased rates, a large majority of respondents were also aware of the shortage of influenza vaccine during the 2004–05 season, about the indications for receiving the influenza vaccine, about alternative methods to prevent contracting the influenza and increased motivation to receive the vaccine. ^

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Despite the recent decline in adolescent pregnancy rates, adolescent pregnancy continues to be a significant public health issue in the United States. The United States consistently reports the highest rate of adolescent pregnancy among developed countries. Adolescent mothers are more likely to have multiple pregnancies, to access welfare and other social services, and to be unmarried. Teen mothers are less likely to complete high school, enter college, and typically command much less earning power throughout their lifetime as compared to women who delay childbirth until later. Moreover, the United States spends approximately $9.1 billion annually on teen pregnancies. ^ Additionally disconcerting is recent data which demonstrates that the decline in teen pregnancy rates is leveling off and that the rate of adolescent pregnancy has increased for the first time since 1993. Contraceptive use is a key component to the prevention of adolescent pregnancy. Contraceptive nonuse and failure result in unintended pregnancies among adolescents. This review sought to assess the levels of knowledge and attitudes toward contraception among adolescent females.^ Levels of knowledge of contraception among adolescents are tolerable; however, there is substantial room for improvement. Misperceptions about the side effects and mechanisms of action of contraception are pervasive among this population. Adolescents who have low levels of knowledge regarding contraception tend to discontinue usage or use inconsistently. Attitudes toward contraception are greatly influenced by levels of knowledge. As a result, adolescents tend to develop more positive attitudes as misperceptions are abated. Moreover, clear disparities persist among adolescents with minority and young adolescents being at increased risk of pregnancy, poor contraceptive use, and insufficient knowledge about contraception.^ Understanding the level of knowledge of and attitudes toward contraceptives among adolescents is essential to the development of effective pregnancy prevention programs. In order to effectively reduce adolescent pregnancy, prevention initiatives must target the vulnerable populations and incorporate the necessary cultural components.^

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Every Texas student is required to complete the FITNESSGRAM fitness assessment under legislation outlined in Senate Bill 530. This study described cardiovascular, body mass index (BMI), and overall fitness levels of students (grades 3–12) in the state of Texas during the 2009–2010 school year, and provides examples of how to effectively present results to Texas House Representatives using three unique health communication strategies. Given the Texas legislature mandates FITNESSGRAM collection yet did not require reporting according to their election district, the data were aggregated to 150 Texas House Representative Districts by sex and grade category to facilitate effective fitness data dissemination. Fitness data were also analyzed with results from the Texas Assessment of Knowledge and Skills (TAKS) to provide insight into potential relationships between fitness and academic achievement. ^ The majority of students in Texas need improvement on at least 1 fitness assessment. In general, female students have superior fitness in elementary and middle school but the fitness edge is erased by high school. Female cardiovascular fitness deteriorates faster from elementary to high school compared to male students. Female BMI deteriorates and male BMI improves from elementary to high school. Cardiovascular fitness and overall fitness decreases from elementary to high school for both male and female students. ^ Student fitness was significantly and strongly independently correlated with academic achievement. Further analysis showed that House Representatives with TAKS scores in the top quartile consistently showed superior fitness. Small significant partial correlations remain between fitness and TAKS assessment after controlling for socioeconomic status. In general, correlations were stronger between female BMI and TAKS assessment compared to male students. Cardiovascular fitness was significantly correlated with TAKS assessment for both genders. This paper supports student fitness as a confounder in the relationship between socioeconomic status and academic achievement. Plus, student fitness has a strong correlation with academic that deserves further exploration. ^ Senate Bill 530 fails to organize and implement a health communication strategy that effectively disseminates the health data collected to stakeholders of interest. The lack of a vital health communication strategy results in an incomplete student health surveillance system. This paper outlines three unique strategies tailored to legislators. It is important to disseminate health information using a variety of methods tailored to your targeted audience. The use of interactive mapping technology presented (GIS) uses new technology that has the potential to effectively reach a large audience.^

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Applying Theoretical Constructs to Address Medical Uncertainty Situations involving medical reasoning usually include some level of medical uncertainty. Despite the identification of shared decision-making (SDM) as an effective technique, it has been observed that the likelihood of physicians and patients engaging in shared decision making is lower in those situations where it is most needed; specifically in circumstances of medical uncertainty. Having identified shared decision making as an effective, yet often a neglected approach to resolving a lack of information exchange in situations involving medical uncertainty, the next step is to determine the way(s) in which SDM can be integrated and the supplemental processes that may facilitate its integration. SDM involves unique types of communication and relationships between patients and physicians. Therefore, it is necessary to further understand and incorporate human behavioral elements - in particular, behavioral intent - in order to successfully identify and realize the potential benefits of SDM. This paper discusses the background and potential interaction between the theories of shared decision-making, medical uncertainty, and behavioral intent. Identifying Shared Decision-Making Elements in Medical Encounters Dealing with Uncertainty A recent summary of the state of medical knowledge in the U.S. reported that nearly half (47%) of all treatments were of unknown effectiveness, and an additional 7% involved an uncertain tradeoff between benefits and harms. Shared decision-making (SDM) was identified as an effective technique for managing uncertainty when two or more parties were involved. In order to understand which of the elements of SDM are used most frequently and effectively, it is necessary to identify these key elements, and understand how these elements related to each other and the SDM process. The elements identified through the course of the present research were selected from basic principles of the SDM model and the “Data, Information, Knowledge, Wisdom” (DIKW) Hierarchy. The goal of this ethnographic research was to identify which common elements of shared decision-making patients are most often observed applying in the medical encounter. The results of the present study facilitated the understanding of which elements patients were more likely to exhibit during a primary care medical encounter, as well as determining variables of interest leading to more successful shared decision-making practices between patients and their physicians. Understanding Behavioral Intent to Participate in Shared Decision-Making in Medically Uncertain Situations Objective: This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent of men between the ages of 45-70 with regard to participating in shared decision-making in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information which may facilitate greater understanding, efficiency and effectiveness of doctor-patient consultations.Design: Qualitative Study using deductive content analysisSetting: Individual semi-structure patient interviews were conducted until data saturation was reached. Researchers read the transcripts and developed a list of codes.Subjects: 25 subjects drawn from the Philadelphia community.Measurements: Qualitative indicators were developed to measure respondents’ experiences and beliefs related to behavioral intent to participate in shared decision-making during medical uncertainty. Subjects were also asked to complete the Krantz Health Opinion Survey as a method of triangulation.Results: Several factors were repeatedly described by respondents as being essential to participate in shared decision-making in medical uncertainty. These factors included past experience with medical uncertainty, an individual’s personality, and the relationship between the patient and his physician.Conclusions: The findings of this study led to the development of a category framework that helped understand an individual’s needs and motivational factors in their intent to participate in shared decision-making. The three main categories include 1) an individual’s representation of medically uncertainty, 2) how the individual copes with medical uncertainty, and 3) the individual’s behavioral intent to seek information and participate in shared decision-making during times of medically uncertain situations.