984 resultados para Madison County, Alabama.


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This research study was conducted as a descriptive study of prenatal care experiences of women enrolled in public and private managed care programs. The study's aim was to describe the demographic characteristics of the women in the study and to analyze and compare their prenatal care experiences. ^ The objective of this study was to examine the research question: Do pregnant women enrolled in Medicaid Managed Care receive the same level of care as women enrolled in other Managed Care Programs in Harris County, Texas? ^ The study population was a convenience sample of pregnant women enrolled in managed care programs who presented to one of the two hospital study sites for delivery of their infant. The study utilized a self administered survey to measure adequacy and content of prenatal care received by the women during this pregnancy. Adequacy of prenatal care utilization was determined based on the Kessner Index criteria of timing of initiation of care and number of visits. Content of care was measured by the number of different medical services the women reported they had received and the number of health information topics the women reported on which they had received information. Demographic characteristics were described with univariate and bivariate statistics of frequencies and cross tabulations. Associations were evaluated using measures of linear correlations. ^ Results from the study showed there is an association between enrollment in Medicaid Managed Care (public) and prenatal care received compared to women enrolled in other Managed Care Programs (private). The results were derived from statistical tests on data the postpartum women gave when they completed the self-administered survey. Provider type was a moderate predictor of quality and quantity of prenatal care. The results also indicate that in the study population, minority ethnicity, income and lower educational status were associated with intermediate and inadequate prenatal care. ^

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Characteristics of child abuse cases are not well known. In this study I collected data on 70 child abuse cases that were reported to Children's Protective Services in Harris County in 1998. The purpose of this study was to determine the factors in Harris County that lead to the identification of physical and sexual abuse. In order to answer the questions of who, what, where and when relative to the discovery of abuse I applied the same questionnaire (see Appendix) to each of 35 Sexual Abuse case reports and to each of 35 Physical Abuse/Neglect case reports. Answers to the first four questions were arranged by frequency distribution to show the predominant reporter, the 10 most common indicators, the most common locale, and the most frequent timing. Tables of the age, sex, and ethnicity of the children indicate the identity of those whose victimization was most reported. In addition the relationship between the form questions and the characteristics of the children was explored. A comparison of Sexual Abuse cases with Physical Abuse/Neglect cases was conducted and the results were analyzed and recorded in the Tables. ^ Child maltreatment often has negative short and long term effects on children's mental health and development. Suicide, violence, delinquency, drug and alcohol abuse and other forms of criminality are frequently child abuse related. Early detection and treatment helps to alleviate the myriad mental and physical ailments that untreated victims present as adults. This translates into medical dollar savings. ^ The long term objectives of my research were to reduce the number of undetected and unreported child abuse cases in Harris County by formulating better educational programs and literature for medical professionals and other personnel who are in contact with children. ^

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The persistence of low birth weight and intrauterine growth retardation (IUGR) in the United States has puzzled researchers for decades. Much of the work that has been conducted on adverse birth outcomes has focused on low birth weight in general and not on IUGR. Studies that have examined IUGR specifically thus far have focused primarily on individual-level maternal risk factors. These risk factors have only been able to explain a small portion of the variance in IUGR. Therefore, recent work has begun to focus on community-level risk factors in addition to the individual-level maternal characteristics. This study uses Social Ecology to examine the relationship of individual and community-level risk factors and IUGR. Logistic regression was used to establish an individual-level model based on 155, 856 births recorded in Harris County, TX during 1999-2001. IUGR was characterized using a fetal growth ratio method with race/ethnic and sex specific mean birth weights calculated from national vital records. The spatial distributions of 114,460 birth records spatially located within the City of Houston were examined using choropleth, probability and density maps. Census tracts with higher than expected rates of IUGR and high levels of neighborhood disadvantage were highlighted. Neighborhood disadvantage was constructed using socioeconomic variables from the 2000 U.S. Census. Factor analysis was used to create a unified single measure. Lastly, a random coefficients model was used to examine the relationship between varying levels of community disadvantage, given the set of individual-level risk factors for 152,997 birth records spatially located within Harris County, TX. Neighborhood disadvantage was measured using three different indices adapted from previous work. The findings show that pregnancy-induced hypertension, previous preterm infant, tobacco use and insufficient weight gain have the highest association with IUGR. Neighborhood disadvantage only slightly further increases the risk of IUGR (OR 1.12 to 1.23). Although community level disadvantage only helped to explain a small proportion of the variance of IUGR, it did have a significant impact. This finding suggests that community level risk factors should be included in future work with IUGR and that more work needs to be conducted. ^

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Back symptoms are a major global public health problem with the lifetime prevalence ranging between 50-80%. Research suggests that work-related factors contribute to the occurrence of back pain in various industries. Despite the hazardous nature, strenuous tasks, and awkward postures associated with farm work, little is known about back injury and symptoms in farmworker adults and children. Research in the United States is particularly limited. This is a concern given the large proportion of migrant farmworkers in the United States without adequate access to healthcare as well as a substantial number of youth working in agriculture. The present study describes back symptoms and identifies work-related factors associated with back pain in migrant farmworker families and farmworker high school students from Starr County, TX. Two separate datasets were used from two cohort studies "Injury and Illness Surveillance in Migrant Farmworkers (MANOS)" (study A: n=267 families) and "South Texas Adolescent Rural Research Study (STARRS)" (study B: n=345). Descriptive and inferential statistics including multivariable logistic regression were used to identify work-related factors associated with back pain in each study. In migrant farmworker families, the prevalence of chronic back pain during the last migration season ranged from 9.5% among youngest children to 33.3% among mothers. Chronic back pain was significantly associated with increasing age; fairly bad/very bad quality of sleep while migrating; fewer than eight hours of sleep at home in Starr County, TX; depressive symptoms while migrating; self-provided water for washing hands/drinking; weeding at work; and exposure to pesticide drift/direct spray. Among farmworker adolescents, the prevalence of severe back symptoms was 15.7%. Severe back symptoms were significantly associated with being female; history of a prior accident/back injury; feeling tense, stressed, or anxious sometimes/often; lifting/carrying heavy objects not at work; current tobacco use; increasing lifetime number of migrant farmworker years; working with/around knives; and working on corn crops. Overall, results support that associations between work-related exposures and chronic back pain and severe back symptoms remain after controlling for the effect of non-work exposures in farmworker populations. ^

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Introduction. It has been well established that poor uninsured children lack access to dental care and have greater dental needs than their insured counterparts. ^ Objective. To assess the capacity of Bexar County's dental safety net to treat children. To assess the dental needs of Bexar County children ages 0-18 who are uninsured or are Medicaid or SCHIP recipients. ^ Methods. Information was requested from dental safety net clinics that treat children ages 0-18. Data from the census, NHANES and other sources was used to estimate the dental needs. ^ Results. The capacity of the current safety net to treat children is 33,537 patient encounters per year. The dental needs of the community are 227,124 patient encounters per year. ^ Conclusion. The results of the study indicate that Bexar County is not prepared to treat the dental needs of the underserved children in San Antonio.^

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While numerous studies have found similar mortality rates for Hispanics compared to non-Hispanic whites, surprisingly little is known about years of potential life lost (YPLL) differentials in mortality. The primary purpose of this paper is to quantify the effect that YPLL has on Hispanics in order to determine if YPLL differs between Hispanics and non-Hispanic whites. Using YPLL may bring attention to dissimilarities that are often obscured through traditional measures. Bexar County 2000-2004 data from the Texas Department of State Health Services, Vital Statistics Unit was analyzed for the descriptive analysis and 2003 Bexar County Multiple Cause Death data was analyzed for the regression analysis. The multiple regression models were used to examine Hispanic and non-Hispanic white differences in years of potential life lost (YPLL) before age 75 from all-causes of death. For this analysis, YPLL was regressed on ethnicity, education level and marital status for men and women. The descriptive analysis found YPLL from all-causes was greater among non-Hispanic whites than Hispanics. However, the regression analysis found Hispanics lost more year of potential from all-causes of death compared to non-Hispanic whites. This indicates that the effect of ethnicity on YPLL differs for different methods of analysis. Future research efforts should keep in mind the method of analysis when using YPLL. Understanding differences in mortality among Hispanics and non-Hispanic whites is important for targeting future health policies and research to aid in eliminating Hispanic health disparities. ^

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The purposes of this study were to determine the prevalence of food insecurity and factors associated with food insecurity among households with children enrolled in Head Start programs in Houston, Texas, and Birmingham, Alabama. This cross-sectional study utilized data gathered from 688 households recruited by convenience sample from two Head Start districts in each city. Interviewers collected data from primary caregivers on demographic characteristics, dietary intake, and the six-item USDA food security module. Chi-square and logistic regression analysis were used to determine the association of food security and demographic characteristics. Comparison of means was used to analyze the association between the child's fruit and vegetable intake and the household's food security status. The prevalence of food insecurity among the sample was 34.9% (95% CI: 31.3%, 38.5%). Characteristics associated with food insecurity were the caregiver's national origin (Foreign-born (ref.) v. U.S.-born, adjusted OR = 0.36, 95% CI: 0.14, 0.94), gender of the child (male (ref.) v. female, adjusted OR = 1.44, 95% CI: 1.03, 2.01), and city of residence (Birmingham (ref.) v. Houston, adjusted OR = 0.20, 95% CI: 0.10, 0.39). Children in food insecure households consumed more daily servings of fruits and vegetables on average (mean = 2.44) than children in food secure households (mean = 2.16, p = 0.04). ^

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The aim of this study was to examine the association between determinants of access to healthcare and preventable hospitalizations, based on Davidson et al.'s framework for evaluating the effects of individual and community determinants on access to healthcare. The study population consisted of the low income, non-elderly, hospitalized adults residing in Harris County, Texas in 2004. The objectives of this study were to examine the proportion of the variance in preventable hospitalizations at the ZIP-code level, to analyze the association between the proximity to the nearest safety net clinic and preventable hospitalizations, to examine how the safety net capacity relates to preventable hospitalizations, to compare the relative strength of the associations of health insurance and the proximity to the nearest safety net clinic with preventable hospitalizations, and to estimate and compare the costs of preventable hospitalizations in Harris County with the average cost in the literature. The data were collected from Texas Health Care Information Collection (2004), Census 2000, and Project Safety Net (2004). A total of 61,841 eligible individuals were included in the final data analysis. A random-intercept multi-level model was constructed with two different levels of data: the individual level and the ZIP-code level. The results of this study suggest that ZIP-code characteristics explain about two percent of the variance in preventable hospitalizations and safety net capacity was marginally significantly associated with preventable hospitalizations (p= 0.062). Proximity to the nearest safety net clinic was not related to preventable hospitalizations; however, health insurance was significantly associated with a decreased risk of preventable hospitalization. The average direct cost was $6,466 per preventable hospitalization, which is significantly different from reports in the literature. ^

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As an important emerging arboviral disease in Texas and throughout the world, dengue fever has the potential to make a re-emergence in the Harris County/Houston metropolitan area. Harris County has seen dengue epidemics in the past. The area has a competent vector, Aedes aegypti, capable of transmission of the virus should it be introduced. It is important to examine areas of highest risk for dengue emergence and transmission in Harris County so that surveillance and educational programs can be properly implemented. This study uses mapping software to visually represent risk factor information with areas of known Ae. aegypti populations. This study focused on known demographic risk factors such as race/ethnicity, place of birth, gender as well as socioeconomic status represented by educational attainment and income. This study found that there are several areas, particularly in central Harris County that are at particular risk for dengue transmission. The findings support the hypothesis that in areas of lower socioeconomic status there were increased populations of foreign born populations, Hispanic populations, and identified locations of a competent vector present. These findings suggest that more specific surveillance of Ae. aegypti, testing of the mosquitoes for dengue virus, and active surveillance for human cases should be implemented in these areas. ^

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This study assesses adolescent's health issues in Comal County, TX. Adolescents are defined as youth between the ages of 12 to 17 years of age, who resided in Comal County during the time period of 2000 to 2007. The analysis focused on high risk behaviors including use of gateway drugs—tobacco and alcohol; illegal substance use; and reproductive health related indicators, including sexual activity, sexually transmitted diseases, and pregnancy. This study is based on the primary and secondary data collected as part of the 2008 Comal County Community Assessment. It compares findings from the primary data sources to extant data from four secondary data sources including: (1) The Centers for Disease Control & Prevention (national) Healthy People 2010; (2) The Centers for Disease Control & Prevention, Youth Risk Behavior Surveillance Survey, 2007; (3) The Texas Department of State Health Services, 2000 to 2007; and The Pride Survey (Local and Statewide). The methods are drawn from the literature on "rapid epidemiologic appraisal" (Annett H. & Rifkin S. B., 1988). The study focus on corroborating the perceptions, subjective concerns, opinions and beliefs of the Comal County key stakeholders and community participants with qualitative and quantitative indicators of health and well being. The value of this approach is to inform community leaders using a public health perspective and evidence in their decisions about priority setting and resources allocation activities for prevention of high risk behaviors and promotion of adolescent health and well being. ^

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Objective. To determine the prevalence and factors associated with diabetes in tuberculosis patients in Harris County, Texas. ^ Background. Tuberculosis and diabetes mellitus are two diseases of immense public health significance. Various epidemiologic studies have established an association between the two conditions. While many studies have identified factors associated with the conditions individually, few have looked at factors associated with their co-occurrence particularly in the United States. Furthermore, most of those studies are hospital-based and may not be representative of the population. The aim of this study was to determine the prevalence and distribution of diabetes among tuberculosis patients in Harris County, Texas and to identify the factors associated with diabetes in tuberculosis. ^ Methods. A population-based case control study was performed using secondary data from the Houston Tuberculosis Initiative (HTI) collected from October 1995 to September 2004. Socio-demographic characteristics and clinical variables were compared between tuberculosis patients with diabetes and non-diabetic tuberculosis patients. Logistic regression analysis was performed to identify associations. Survival at 180 days post tuberculosis diagnosis was assessed by Cox regression. ^ Results. The prevalence of diabetes among the tuberculosis (TB) population was 14.4%. The diabetics (cases) with a mean age 53 ± 13.3 years were older than the non-diabetics (controls) with a mean age of 39 ± 18.5 years (p<0.001). Socio-demographic variables that were independently associated with the risk of diabetes were age (OR 1.04, p<0.001) and Hispanic ethnicity (OR 2.04, p<0.001). Diabetes was associated with an increased risk of pulmonary tuberculosis disease (OR 1.33, p<0.028). Among individuals with pulmonary TB, diabetes was associated with positive sputum acid-fast bacilli (AFB) smear (OR 1.47, p<0.005) and culture (OR 1.83, p<0.018). Diabetics were more likely to have cavitary lung disease than non-diabetics (OR 1.50, p<0.002). After adjustment for age and HIV status, the risk of dying within 180 days of TB diagnosis was significantly increased in the diabetics (HR 1.51, p<0.002). ^ Conclusion. Diabetes mellitus was more prevalent in our tuberculosis patients than in the general population. The tuberculous diabetic may be more infectious and has a higher risk of death. It is therefore imperative to screen diabetics for TB and TB patients for diabetes. ^

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Harris County, which includes Houston, Texas, is an endemic and epidemic area for two viruses transmitted by arthropods (arboviruses). These viruses are maintained in cycles involving mosquitoes and wild birds, and transmission to humans is accidental. The majority of human infections is asymptomatic or may result in a flu-like syndrome. However, some infections can result in meningitis or encephalitis. These neuroinvasive infections may cause death, and those who survive may experience serious neurological complications requiring costly and lengthy medical care. The most important arboviruses in terms of morbidity are St. Louis encephalitis (SLEV) and West Nile (WNV) viruses. In fact, Harris County reports more SLEV encephalitis cases than any other county in the U.S. Most arboviral human cases occur from July through September, when mosquitoes are most active. Those at risk for encephalitis and death are the elderly and those with a history of hypertension or immunosuppresion. There is no specific treatment and no human vaccines are commercially available in the U.S. The approach for control of arboviruses in Harris County during epidemics is multidisciplinary and executed by several agencies. It includes surveillance, vector control, and educational messages for the population. Prevention of outbreaks consists of elimination of the vector and its breeding grounds, and practicing personal protective measures to prevent exposure to mosquitoes. ^ Current findings indicate that mosquito-borne viruses other than SLEV and WNV could pose an additional threat for the population. Eastern equine encephalitis virus (EEEV) activity has been detected in dogs and sentinel chickens in Houston and surrounding areas. Several serotypes of dengue virus have caused recent outbreaks in south Texas, and some locally-acquired cases have been detected in Houston. Since the clinical presentation of all arboviruses that cause encephalitis is very similar, and current surveillance is focused on detecting SLEV and WNV, there is a possibility that other arboviruses could be present in the area but are not being detected. Additionally, Harris County's ample annual rainfall and flooding problems, warm weather, multiple mosquito species, local and migrating birds that are susceptible to arboviral infection, and a constant flow of goods and travelers from many parts of the world could favor the emergence or re-emergence of other arboviruses. ^ The aims of this project were to determine if other arboviruses were circulating in the county, to assess the knowledge and attitudes about mosquito-borne viruses in a sample of the population, and to conduct an analysis of the initial WNV epidemic in Harris County. Through the retrospective analysis of clinical specimens collected during the 2002-2005 epidemic seasons, serologic evidence of dengue infection was detected suggesting the possibility that this virus may be co-circulating with SLEV and WNV. A cross-sectional survey revealed high awareness about arboviruses but not a consistent use of protective measures to avoid mosquitoes. The third component for this project included a retrospective review and geographical analysis of the 2002 WNV epidemic. ^ Overall, this study documented valuable information about the dengue virus, a potentially emerging arbovirus in Texas, revealed the need for more educational preventative programs, reinforced the value of mosquito and avian surveillance, and indicated the importance of continuing to investigate the factors that contribute to the development of outbreaks. ^

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Background. The population-based Houston Tuberculosis Initiative (HTI) study has enrolled and gathered demographic, social, behavioral, and disease related data on more than 80% of all reported Mycobacterium Tuberculosis (MTB) cases and 90% of all culture positive patients in Houston/Harris County over a 9 year period (from October 1995-September 2004). During this time period 33% (n=1210) of HTI MTB cases have reported a history of drug use. Of those MTB cases reporting a history of drug use, a majority of them (73.6%), are non-injection drug users (NIDUs). ^ Other than HIV, drug use is the single most important risk factor for progression from latent to infectious tuberculosis (TB). In addition, drug use is associated with increased transmission of active TB, as seen by the increased number of clonally related strains or clusters (see definition on page 30) found in this population. The deregulatory effects of drug use on immune function are well documented. Associations between drug use and increased morbidity have been reported since the late 1970's. However, limited research focused on the immunological consequence of non-injection drug use and its relation to tuberculosis infection among TB patients is available. ^ Methods. TB transmission patterns, symptoms, and prevalence of co-morbidities were a focus of this project. Smoking is known to suppress Nitric Oxide (NO) production and interfere with immune function. In order to limit any possible confounding due to smoking two separate analyses were done. Non-injection drug user smokers (NIDU-S) were compared to non-drug user smokers (NDU-S) and non-injection drug user non-smokers (NIDU-NS) were compared to non-drug user non-smokers (NDU-NS) individually. Specifically proportions, chi-square p-values, and (where appropriate) odds ratios with 95% confidence intervals were calculated to assess characteristics and potential associations of co-morbidities and symptoms of TB among NIDUs HTI TB cases. ^ Results. Significant differences in demographic characteristics and risk factors were found. In addition drug users were found to have a decreased risk for cancer, diabetes mellitus, and chronic pulmonary disease. They were at increased risk of having HIV/AIDS diagnosis, liver disease, and trauma related morbidities. Drug users were more likely to have pulmonary TB disease, and a significantly increased amount of clonally related strains of TB or "clusters" were seen in both smokers and non-smoker drug users when compared to their non-drug user counterparts. Drug users are more likely to belong to print groups (clonally related TB strains with matching spoligotypes) including print one and print three and the Beijing family group, s1. Drug users were found to be no more likely to experience drug resistance to TB therapy and were likely to be cured of disease upon completion of therapy. ^ Conclusion. Drug users demographic and behavioral risk factors put them at an increased risk contracting and spreading TB disease throughout the community. Their increased levels of clustering are evidence of recent transmission and the significance of certain print groups among this population indicate the transmission is from within the social family. For these reasons a focus on this "at risk population" is critical to the success of future public health interventions. Successful completion of directly observed therapy (DOT), the tracking of TB outbreaks and incidence through molecular characterization, and increased diagnostic strategies have led to the stabilization of TB incidence in Houston, Harris County over the past 9 years and proven that the Houston Tuberculosis Initiative has played a critical role in the control and prevention of TB transmission. ^

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Community health workers (CHWs) are an accepted, viable component of health systems worldwide. Most often they are utilized in developing regions where health care access is limited and/or health care practitioners are scarce. In this way community health workers have been used to extend the reach of primary care delivery to whole nations, and can be used to reduce health disparities in disadvantaged populations or minority groups as well. In the United States, utilization of CHWs is fragmented, and an amalgam of programs exist which are usually only community-specific. These programs are often burdened by financial un-sustainability. The Community Health Worker National Workforce Study (2007) was markedly the first effort to compile a profile of the CHW workforce in all 50 states. El Paso County, as a uniquely bi-national setting, provided a prime locale to assess CHW utilization on a localized scale, and in a distinctively Latino population and medically underserved area. ^ Results gleaned from this study of 45 CHWs and 5 administrators demonstrate commonalities between El Paso County CHWs and the national CHW workforce; differences were found in average education level, wages for experienced CHWs, as well as primary target populace and target health issues. Future research should focus on cost-effectiveness of CHW utilization.^

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Background. Over half of children in the United States under age five spend 32 hours a week in child care, facilities, where they consume approximately 33-50% of their food intake. ^ Objectives. The aim of this research was to identify the effects of state nutrition policies on provision of food in child care centers. ^ Subjects. Eleven directors or their designee from ten randomly selected licensed child care centers in Travis County, Texas were interviewed. Centers included both nonprofit and for-profit centers, with enrollments ranging from 19 to 82. ^ Methods. Centers were selected using a web-based list of licensed child care providers in the Austin area. One-on-one interviews were conducted in person with center directors using a standard set of questions developed from previous pilot work. Interview items included demographic data, questions about state policies regarding provision of foods in centers, effects of policies on child care center budgets and foods offered, and changes in the provision of food. All interviews were audiotaped and transcribed, and themes were identified using standard qualitative techniques. ^ Results. Four of the centers provided both meals and snacks, four provided snacks only, and two did not provide any food. Directors of centers that provided food were more likely to report adherence to the Minimum Standards than directors of centers that did not. In general, center directors reported that the regulations were loosely enforced. In contrast, center directors were more concerned about a local city-county regulation that required food permits and new standards for kitchens. Most of these local regulations were cost prohibitive and, as a result, centers had changed the types of foods provided, which included providing less fresh produce and more prepackaged items. Although implementation of local regulations had reduced provision of fruits and vegetables to children, no adjustments were reported for allocation of resources, tuition costs or care of the children. ^ Conclusions. Qualitative data from a small sample of child care directors indicate that the implementation and accountability of food- and nutrition-related guidelines for centers is sporadic, uncoordinated, and can have unforeseen effects on the provision of food. A quantitative survey and dietary assessment methods should be conducted to verify these findings in a larger and more representative sample.^