13 resultados para confidence in sentencing
em DigitalCommons@The Texas Medical Center
Resumo:
The ordinal logistic regression models are used to analyze the dependant variable with multiple outcomes that can be ranked, but have been underutilized. In this study, we describe four logistic regression models for analyzing the ordinal response variable. ^ In this methodological study, the four regression models are proposed. The first model uses the multinomial logistic model. The second is adjacent-category logit model. The third is the proportional odds model and the fourth model is the continuation-ratio model. We illustrate and compare the fit of these models using data from the survey designed by the University of Texas, School of Public Health research project PCCaSO (Promoting Colon Cancer Screening in people 50 and Over), to study the patient’s confidence in the completion colorectal cancer screening (CRCS). ^ The purpose of this study is two fold: first, to provide a synthesized review of models for analyzing data with ordinal response, and second, to evaluate their usefulness in epidemiological research, with particular emphasis on model formulation, interpretation of model coefficients, and their implications. Four ordinal logistic models that are used in this study include (1) Multinomial logistic model, (2) Adjacent-category logistic model [9], (3) Continuation-ratio logistic model [10], (4) Proportional logistic model [11]. We recommend that the analyst performs (1) goodness-of-fit tests, (2) sensitivity analysis by fitting and comparing different models.^
Resumo:
Since its introduction into the United States in the 1980s, crack cocaine has been a harsh epidemic that has taken its toll on a countless number of people. This highly addictive, cheap and readily available drug of abuse has permeated many demographic sectors, mostly in low income, lesser educated, and urban communities. This epidemic of crack cocaine use in inner city areas across the Unites States has been described as an expression of economic marginality and “social suffering” coupled with the local and international forces of drug market economies (Agar 2003). As crack cocaine is a derivative of cocaine, it utilizes the psychoactive component of the drug, but delivers it in a much stronger, quicker, and more addictive fashion. This, coupled with its ready availability and cheap price has allowed for users to not only become very addicted very quickly, but to be subject to the stringent and sometimes unequal or inconsistent punishments for possession and distribution of crack-cocaine. ^ There are many public health and social ramifications from the abuse of crack-cocaine, and these epidemics appear to target low income and minority groups. Public health issues relating to the physical, mental, and economic strain will be addressed, as well as the direct and indirect effects of the punishments that come as a result of the disparity in penalties for cocaine and crack-cocaine possession and distribution. ^ Three new policies have recently been introduced into the United Stated Congress that actively address the disparity in sentencing for drug and criminal activities. They are, (1) Powder-Crack Cocaine Penalty Equalization Act of 2009, (HR 18, 111th Cong. 2009), (2) The Drug Sentencing Reform and Cocaine Kingpin Trafficking Act of 2009, (HR 265, 111th Cong. 2009) and (3) The Justice Integrity Act of 2009, (111th Cong. 2009). ^ Although they have only been initiated, if passed, they have potential to not only eliminate the crack-cocaine disparity, but to enact laws that help those affected by this epidemic. The final and overarching goal of this paper is to analyze and ultimately choose the ideal policy that would not only eliminate the cocaine and crack disparity regardless of current or future state statutes, but will provide the best method of rehabilitation, prevention, and justice. ^
Resumo:
Background. Because it is important to minimize children's sun exposure to reduce skin cancer risk, much of the extensive skin cancer prevention literature consists of studies of children's sun protection, sun avoidance and ultraviolet radiation (UVR) exposure. Little attention has been focused on the measurement of psychosocial constructs in these studies. Identification of the psychosocial correlates or determinants of children's skin cancer risk or risk-reduction behavior is critical to more fully understand and predict behavior. Furthermore, psychosocial variables may be influenced by interventions to reduce risk. Thus, it is important to examine the psychosocial measures used in studies of children's skin cancer prevention. Information on the validity and reliability of psychosocial measures may increase confidence in study findings based on these measures. In particular, self-efficacy and barriers are key constructs in several major theoretical frameworks and parental measures have been associated with children's sun protection. However, there is conceptual overlap of self-efficacy and barriers measures and little is known about the psychometric properties of these measures.^ Study Aims and Methods. The overall goal of this dissertation was to examine the measurement of psychosocial constructs relevant to children's skin cancer prevention. Because children depend primarily on their parents for skin cancer prevention, measures of parents' psychosocial constructs are the focus. Study 1 was a systematic review of parental psychosocial measures used in studies of children's sun protection, sun avoidance and UVR exposure. The specific aims of Study 1 were to (1) describe psychosocial measures reported by parents, including available information on the psychometric properties of these measures and their use in analyses and (2) provide recommendations for the development, refinement and standardized reporting of measures. ^ Study 2 examined the psychometric properties of measures of parental self-efficacy and barriers regarding children's sun protection. Melanoma patients (N=205) who were parents of children ≤ 12 years of age completed a telephone interview that included self-efficacy and barriers measures specific to sunscreen, clothing, shade and limiting time outdoors. The specific aims of Study 2 were to (1) use a confirmatory factor analytic approach to examine the factorial validity of parental self-efficacy and barriers measures, (2) examine the convergent and discriminant validity of behavior-specific measures of self-efficacy and barriers and (3) assess the reliability of item and scale measures.^ Results. In Study 1, a search of standard databases yielded 48 eligible studies. Most studies assessed only one or two psychosocial constructs. Knowledge was measured most frequently. There was little discussion of measure source, development, theoretical background or psychometric properties, besides internal consistency reliability. There was conceptual overlap of some measures. In Study 2, confirmatory factor analytic findings supported the factorial validity of the self-efficacy and barriers measures. When all eight self-efficacy and barriers measures were included in the same model, a modified eight-factor model adequately fit the data, providing preliminary evidence that the measures are distinct. Measure associations supported the convergent validity of all measures and the discriminant validity of most measures. The self-efficacy and barriers measures were reliable.^ Conclusions. Recommendations based on the literature review include developing and refining psychosocial measures based on theory. Describing a measure's theoretical basis and psychometric properties would facilitate critical evaluation. Standardized reporting of source, development, theory, construct, items and analytic role would facilitate comparison of findings, continual refinement and future applications of measures. In the validation study, self-efficacy and barriers measures were examined in a sample of parents with a personal history of melanoma. Findings suggested that these measures are valid and reliable for use in studies of children's sun protection. There was preliminary evidence that these measures are distinct but additional study is needed. ^
Resumo:
A face to face survey addressing environmental risk perception was conducted in January through March 2010. The 35 question survey was administered to a random sample of 73 households in El Paso, Texas. The instrument, administered in two adjacent residential communities neighboring an inactive copper smelter solicited responses about manmade and naturally occurring health risks and sources of health information that might utilized by respondents. The objective of the study was to determine if intervention which occurred in one of the communities increased residents' perception of risk to themselves and their families. The study was undertaken subsequent to increased attention from news media and public debate surrounding the request to reopen the smelter's operations. Results of the study indicated that the perception of environmental related health concerns were not significantly correlated with residence in a community receiving outreach and intervention. Both communities identified sun exposure as their greatest perceived environmental risk followed by cigarette smoking. Though industrial by products and chemical pollution were high ranking concerns, respondents indicated they felt that the decision not to reopen the smelter reduced risk in these areas. Residents expressed confidence in information received from the local health district though most indicated they received very little information from that source indicating an opportunity for public health education in this community as a strategy to address future health concerns.^
Resumo:
Health departments, research institutions, policy-makers, and healthcare providers are often interested in knowing the health status of their clients/constituents. Without the resources, financially or administratively, to go out into the community and conduct health assessments directly, these entities frequently rely on data from population-based surveys to supply the information they need. Unfortunately, these surveys are ill-equipped for the job due to sample size and privacy concerns. Small area estimation (SAE) techniques have excellent potential in such circumstances, but have been underutilized in public health due to lack of awareness and confidence in applying its methods. The goal of this research is to make model-based SAE accessible to a broad readership using clear, example-based learning. Specifically, we applied the principles of multilevel, unit-level SAE to describe the geographic distribution of HPV vaccine coverage among females aged 11-26 in Texas.^ Multilevel (3 level: individual, county, public health region) random-intercept logit models of HPV vaccination (receipt of ≥ 1 dose Gardasil® ) were fit to data from the 2008 Behavioral Risk Factor Surveillance System (outcome and level 1 covariates) and a number of secondary sources (group-level covariates). Sampling weights were scaled (level 1) or constructed (levels 2 & 3), and incorporated at every level. Using the regression coefficients (and standard errors) from the final models, I simulated 10,000 datasets for each regression coefficient from the normal distribution and applied them to the logit model to estimate HPV vaccine coverage in each county and respective demographic subgroup. For simplicity, I only provide coverage estimates (and 95% confidence intervals) for counties.^ County-level coverage among females aged 11-17 varied from 6.8-29.0%. For females aged 18-26, coverage varied from 1.9%-23.8%. Aggregated to the state level, these values translate to indirect state estimates of 15.5% and 11.4%, respectively; both of which fall within the confidence intervals for the direct estimates of HPV vaccine coverage in Texas (Females 11-17: 17.7%, 95% CI: 13.6, 21.9; Females 18-26: 12.0%, 95% CI: 6.2, 17.7).^ Small area estimation has great potential for informing policy, program development and evaluation, and the provision of health services. Harnessing the flexibility of multilevel, unit-level SAE to estimate HPV vaccine coverage among females aged 11-26 in Texas counties, I have provided (1) practical guidance on how to conceptualize and conduct modelbased SAE, (2) a robust framework that can be applied to other health outcomes or geographic levels of aggregation, and (3) HPV vaccine coverage data that may inform the development of health education programs, the provision of health services, the planning of additional research studies, and the creation of local health policies.^
Resumo:
Background. With childhood obesity on the rise in the United States, school nurses are faced with the task of preventing, identifying and treating obese children in their schools. This study reviews current literature and examines the effectiveness of the school nurse regarding obesity prevention and treatment services and the barriers they face.^ Methods. Ovid, Ebsco, Google Scholar and other professional websites were searched for school-based obesity interventions that included school nurses and that took place in the United States between 1996 and present day. This resulted in 8 studies.^ Results. Of the 8 studies identified, the majority were conducted in the Midwest, all of the studies were cross-sectional in design or qualitative in nature and only half of these studies were based off theoretical design. The most common barriers school nurses face include: lack of time, lack of support from both the school and parents, lack of confidence in counseling students and their parents and lack of specific guidelines for their role. ^ Conclusions. This study further reflects the need for more research using experimental research designs to evaluate nurse-driven interventions and nurse-related policies for childhood obesity prevention and treatment, the need to create specific guidelines for school nurses, the need for further education for nurses relating to counseling, and the need for more support from the school and community for school-based obesity prevention. ^
Resumo:
Hemophilia is a hereditary bleeding disorder which requires lifelong specialized care. A network of Hemophilia Treatment Centers (HTCs) exists to meet the medical needs of patients affected by hemophilia. Genetic counseling services are an integral part of the HTC model of care; however, many HTCs do not have genetic counselors on staff. As a result, the duty to provide these services must fall to other healthcare providers within the HTC. To assess the knowledge and attitudes of these providers we developed a 49 question survey that was distributed electronically to hematologists and nurses at U.S. HTCs. The survey consisted of a three sections: demographic information, knowledge of hemophilia genetics, and attitudes towards genetic services. A total of 111 complete responses were received and analyzed. The average knowledge score among all participants was 74.8% with a total of 81 participants receiving a passing score of 70% or above. Thirty participants scored below 70% in the knowledge section. In general, attitude scores were high indicating that the majority of hematologists and nurses in HTCs feel confident in their ability to provide genetic counseling services. Over 90% of participants reported that they have some form of access to genetic counseling services at their center. Hematologists and nurses practicing in U.S. HTCs demonstrate sufficient knowledge of the genetics of hemophilia, and they generally feel confident in their ability to provide genetic counseling services to their patients. While their knowledge is sufficient, the average knowledge score was lower than 75%. Certain questions covering new genetic technologies and testing practices were more commonly missed than questions asking about more basic aspects of hemophilia genetics, such as inheritance and carrier testing. Finally, many clinics report having access to a counselor, but it is oftentimes a hematologist or nurse who is providing genetic counseling services to patients. Given the inconsistency in knowledge among providers coupled with the high confidence in one’s ability to counsel patients, it leaves room to question whether information about the genetics of hemophilia is being communicated to patients in the most appropriate and accurate manner.
Resumo:
Similar to other health care processes, referrals are susceptible to breakdowns. These breakdowns in the referral process can lead to poor continuity of care, slow diagnostic processes, delays and repetition of tests, patient and provider dissatisfaction, and can lead to a loss of confidence in providers. These facts and the necessity for a deeper understanding of referrals in healthcare served as the motivation to conduct a comprehensive study of referrals. The research began with the real problem and need to understand referral communication as a mean to improve patient care. Despite previous efforts to explain referrals and the dynamics and interrelations of the variables that influence referrals there is not a common, contemporary, and accepted definition of what a referral is in the health care context. The research agenda was guided by the need to explore referrals as an abstract concept by: 1) developing a conceptual definition of referrals, and 2) developing a model of referrals, to finally propose a 3) comprehensive research framework. This dissertation has resulted in a standard conceptual definition of referrals and a model of referrals. In addition a mixed-method framework to evaluate referrals was proposed, and finally a data driven model was developed to predict whether a referral would be approved or denied by a specialty service. The three manuscripts included in this dissertation present the basis for studying and assessing referrals using a common framework that should allow an easier comparative research agenda to improve referrals taking into account the context where referrals occur.
Resumo:
Tobacco use is a major health hazard, and the onset of tobacco use occurs almost entirely in the teenage years. For this reason, schools are an ideal site for tobacco prevention programs. Although studies have shown that effective school-based tobacco prevention programs exist, all too frequently these programs are not used. In order for effective programs to achieve their potential impact, strategies for speeding the diffusion of these programs to school districts and seeing that, once adopted, programs are implemented as they are intended, must be developed and tested.^ This study (SC2) set out to replicate the findings of an earlier quasi-experimental study (The Smart Choices Diffusion Study, or SC1) in which strategies based on diffusion theory and social learning theory were found to be effective in encouraging adoption and implementation of an effective tobacco prevention program in schools. To increase awareness and encourage adoption, intervention strategies in both studies utilized opinion leaders, messages highlighting positive aspects of the program, and modeling of benefits and effective use through videotape and newsletters. To encourage accurate implementation of the curriculum, teacher training for the two studies utilized videotaped modeling and practice of activities by teachers. SC2 subjects were 38 school districts that make up one of Texas' 20 education service regions. These districts had served as the comparison group in SC1, and findings for the SC1 comparison and intervention groups were utilized as historic controls.^ SC2 achieved a 76.3% adoption rate and found that an average of 84% of the curriculum was taught with an 82% fidelity to methods utilized by the curriculum. These rates and rates for implementation of dissemination strategies were equal to or greater than corresponding rates for SC1. The proportion of teachers implementing the curriculum in SC2 was found to be equal to SC1's video-trained districts but lower than the SC1 workshop-trained group.^ SC2's findings corroborate and support the findings from the earlier study, and increase our confidence in its findings. Taken together, the findings from SC2 and SC1 point to the effectiveness of their theory-based intervention strategies in encouraging adoption and accurate implementation of the tobacco prevention curriculum. ^
Resumo:
Purpose of the study. The purpose of this randomized controlled clinical trial was to determine if a brief intervention would improve foot self-care behaviors in adult patients with Type 2 diabetes who presented to the emergency department for non-emergent care in a predominantly Hispanic southwestern border community. ^ Methods. A pre-post-test, three-group design was used to compare the foot self-care behaviors of patients who received usual care to those who received lower extremity amputation (LEA) risk assessment and to those who received LEA risk assessment plus a brief foot self-care intervention. After being randomized into 3 groups (N = 167), baseline assessments of demographics, diabetes history, acculturation, and the Summary of Diabetes Self Care Activities (SDSCA) questionnaire and Modified Insulin Management Diabetes Self Efficacy Scale (MIMDSES) were completed in English or Spanish. At one-month, 144 (84%) participants were available for follow-up by the research assistant masked to group assignment. ^ Results. At baseline, significant differences in foot self-care behaviors and self monitoring blood glucose were noted based on ethnicity and gender. Men had significantly lower confidence in their ability to manage their diabetes overall. There was a significant difference between baseline and follow up self reported foot self-care behaviors within the intervention group (t (47) = −4.32, p < .01) and the control group (t (46) = −2.06, p < .05). There were no significant differences between groups for self-reported foot self-care behaviors. There was a significant difference in observed foot self-care behaviors between groups (F(2,135) = 2.99, p < .05). Self-efficacy scores were positively correlated with self-reported self-care behaviors. ^ Conclusions. This predominantly Hispanic population with type 2 diabetes reported performing diabetes self-care behaviors less than five days a week. There were within group changes, but no significant between group changes in reported self-care behaviors. However, at the one month follow up, there were significant differences between groups in observed foot self-care behaviors with the intervention group demonstrating the most accurate behaviors. Differences based on gender and ethnicity emphasize the need to individualize diabetes education. Priorities for culturally competent diabetes education, approaches to increasing self-efficacy and future research directions are suggested. ^
Resumo:
Obesity rates around the nation have risen to epidemic proportions. Rates of childhood obesity are at very high levels with 24.4% of preschool-aged children in the U.S. currently considered as overweight or obese. The percentage of childhood obesity is much higher in the southern part of the United States as compared to the rest of the nation. Minority populations, especially African American and Hispanic, are affected more than other ethnic groups. Obesity prevention programs are needed targeting young children <6 years of age from minority populations. Currently, there are few obesity prevention programs that have been implemented and evaluated in children <6 years of age. Gardening programs have been successful in improving the health status of elementary school children by increasing fruit and vegetable intake and increasing preferences for healthier food choices. However, there is no evidence of the feasibility and acceptability of a garden-based obesity prevention program among preschoolers. This pretest study, a classroom-based gardening curriculum program with 16 lesson plans and coordinating activities for preschool age children (3-5 years old) enrolled in Head Start, provides the opportunity to address this need. The study included 103 preschoolers from two centers and 9 teachers or teachers' aides. Qualitative data on feasibility and acceptability was collected from process evaluation forms of individual lesson plans and focus groups with teachers. Teacher questionnaires assessed individual teacher characteristics and provided feedback regarding the curriculum. Quantitative measures of teachers' self-efficacy, attitudes, and knowledge pertaining to nutrition were analyzed from pre and post-test surveys. Results revealed this preschool garden-based nutrition curriculum was both feasible and acceptable. The program improved teacher's self-efficacy, knowledge, and attitudes about nutrition, with teacher's confidence in ability to teach a gardening curriculum increasing from a mean score of 2.14 to 3.00 from pre to post test (P value = 0.0046). These results indicate implementing garden-based nutrition lessons within preschools is achievable. Employing garden-based nutrition lessons in the classroom is the first step in teaching children about nutrition and gardening concepts. Constructing gardening beds for more hands-on learning is the next proposed step in the larger parent study of this program.^
Resumo:
Cardiovascular disease (CVD) is the number one cause of death for people in Texas as well as Mexico. The progressive morbidity and mortality of CVD can be prevented initially and controlled through regular health screenings or visits to the physician where health markers such as hypertension can be detected and treated. Yet, many people go unaware of existing hypertension not only due to lack of access to health care but to their own personal beliefs, ideas, or perceived barriers that prevent them from seeking preventative health care. ^ The main purpose of this study was to evaluate whether individuals of Mexican origin, who have some form of medical coverage, posses more knowledge, more perceived severity, less perceived barriers, and greater self-efficacy in regards to hypertension than those individuals who have no medical coverage. This was done by addressing the following specific aims: 1.To evaluate the association between individuals who have health care coverage and those who do not have health care coverage in regards to their beliefs of hypertension; 2. To evaluate if there exists a variation among the respondents demographic data and their beliefs of hypertension. ^ The total number of respondents were 150; with 75 being from Cuidad Juarez, and 75 being from El Paso, Texas. The results indicated that the individuals with some form of medical coverage perceived themselves to be more susceptible to suffering a cardiac event or developing heart disease than those who had no form of medical coverage. The individuals with some form of health care coverage also found themselves having less perceived barriers than those who had no health care coverage. The level of education seemed to have some association with individuals perceiving themselves as being susceptible to experiencing a cardiac event if they do not control their hypertension. Regarding self-efficacy, or the self-reported confidence in performing certain behaviors to controlling hypertension, those individuals who perceived themselves as having no self-efficacy had a lower level of education, compared to those who did perceive themselves as possessing self-efficacy. The findings of this study indicate that beliefs regarding hypertension and medical coverage are variables that need to be investigated further for individuals in the El Paso and Cuidad Juarez region. ^
Resumo:
Hierarchical linear growth model (HLGM), as a flexible and powerful analytic method, has played an increased important role in psychology, public health and medical sciences in recent decades. Mostly, researchers who conduct HLGM are interested in the treatment effect on individual trajectories, which can be indicated by the cross-level interaction effects. However, the statistical hypothesis test for the effect of cross-level interaction in HLGM only show us whether there is a significant group difference in the average rate of change, rate of acceleration or higher polynomial effect; it fails to convey information about the magnitude of the difference between the group trajectories at specific time point. Thus, reporting and interpreting effect sizes have been increased emphases in HLGM in recent years, due to the limitations and increased criticisms for statistical hypothesis testing. However, most researchers fail to report these model-implied effect sizes for group trajectories comparison and their corresponding confidence intervals in HLGM analysis, since lack of appropriate and standard functions to estimate effect sizes associated with the model-implied difference between grouping trajectories in HLGM, and also lack of computing packages in the popular statistical software to automatically calculate them. ^ The present project is the first to establish the appropriate computing functions to assess the standard difference between grouping trajectories in HLGM. We proposed the two functions to estimate effect sizes on model-based grouping trajectories difference at specific time, we also suggested the robust effect sizes to reduce the bias of estimated effect sizes. Then, we applied the proposed functions to estimate the population effect sizes (d ) and robust effect sizes (du) on the cross-level interaction in HLGM by using the three simulated datasets, and also we compared the three methods of constructing confidence intervals around d and du recommended the best one for application. At the end, we constructed 95% confidence intervals with the suitable method for the effect sizes what we obtained with the three simulated datasets. ^ The effect sizes between grouping trajectories for the three simulated longitudinal datasets indicated that even though the statistical hypothesis test shows no significant difference between grouping trajectories, effect sizes between these grouping trajectories can still be large at some time points. Therefore, effect sizes between grouping trajectories in HLGM analysis provide us additional and meaningful information to assess group effect on individual trajectories. In addition, we also compared the three methods to construct 95% confident intervals around corresponding effect sizes in this project, which handled with the uncertainty of effect sizes to population parameter. We suggested the noncentral t-distribution based method when the assumptions held, and the bootstrap bias-corrected and accelerated method when the assumptions are not met.^