9 resultados para Application of Data-driven Modelling in Water Sciences
em DigitalCommons@The Texas Medical Center
Resumo:
The Houston Academy of Medicine--Texas Medical Center (HAM--TMC) Library collected data on friends of the library groups from 103 health sciences libraries, using a mail questionnaire. Sixteen of the responding libraries had independent friends groups; seven had friends groups that were subordinate to a university group. The sixteen independent groups gave as their major purposes (1) to raise money for their associated library and (2) to develop support for their library. These groups contributed an average of $4,870 a year to their libraries, the money being used primarily to purchase rare books and working-collection books and to sponsor social events. The subordinate groups contributed relatively little money to the health sciences libraries responding to the survey.
Resumo:
This dissertation investigated perspectives on cultural competence among African-American women patients, staff, and the administrator of a dental clinic serving people living with HIV/AIDS; and evaluated the role of the National Standards for Culturally and Linguistically Appropriate Services in Health Care (CLAS) in advancing the provision of culturally competent care in the clinic. ^ The study was qualitative with data collection via focus groups and individual interviews with a sample of African-American women patients, and individual interviews with a sample of staff and the clinic administrator. Transcripts were coded and themes identified using the software program ATLAS.ti. A cultural audit template was developed and applied to evaluate cultural competency. ^ Among attitudes and behaviors that contributed to the provision of culturally competent care at the clinic were respect and empathic communication. Formal cultural competency was not featured strongly in the methods by which the staff learned to work with diverse populations. Instead cultural competence among the staff was based on thoughtful hiring practices, natural aptitude and a climate that encouraged learning through informal sharing of experiences. The staff and administrator felt that an African-American dentist would be an asset in improving culturally competent care at the clinic. Previous research and national policy also promote the provider-patient racial/ethnic concordance to improve care. In this study, however, the patients were happy with the care provided regardless of the race/ethnicity of the staff, probably reflecting the well developed cultural competence skills of clinic staff overall. ^ The clinic administrator was unaware of the CLAS standards although the clinic was implicitly operated under their mandates. This occurred because the clinic is supported by federal funding and the CLAS standards were incorporated into the requirements. Incorporation into and monitoring of the CLAS standards in federally funded programs therefore appears to be an effective means for ensuring that they are implemented. ^ This study illustrates that cultural competence, though not universally understood, can be systematically investigated to identify what constitutes appropriate care and the factors that support or inhibit it. Among important elements of culturally competent care are respect and empathic communication. ^
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:
A simple and inexpensive method is described for analysis of uranium (U) activity and mass in water by liquid scintillation counting using $\alpha$/$\beta$ discrimination. This method appears to offer a solution to the need for an inexpensive protocol for monitoring U activity and mass simultaneously and an alternative to the potential inaccuracy involved when depending on the mass-to-activity conversion factor or activity screen.^ U is extracted virtually quantitatively into 20 ml extractive scintillator from a 1-$\ell$ aliquot of water acidified to less than pH 2. After phase separation, the sample is counted for a 20-minute screening count with a minimum detection level of 0.27 pCi $\ell\sp{-1}$. $\alpha$-particle emissions from the extracted U are counted with close to 100% efficiency with a Beckman LS6000 LL liquid scintillation counter equipped with pulse-shape discrimination electronics. Samples with activities higher than 10 pCi $\ell\sp-1$ are recounted for 500-1000 minutes for isotopic analysis. Isotopic analysis uses events that are automatically stored in spectral files and transferred to a computer during assay. The data can be transferred to a commercially available spreadsheet and retrieved for examination or data manipulation. Values for three readily observable spectral features can be rapidly identified by data examination and substituted into a simple formula to obtain $\sp{234}$U/$\sp{238}$U ratio for most samples. U mass is calculated by substituting the isotopic ratio value into a simple equation.^ The utility of this method for the proposed compliance monitoring of U in public drinking water supplies was field tested with a survey of drinking water from Texas supplies that had previously been known to contain elevated levels of gross $\alpha$ activity. U concentrations in 32 samples from 27 drinking water supplies ranged from 0.26 to 65.5 pCi $\ell\sp{-1}$, with seven samples exceeding the proposed Maximum Contaminant Level of 20 $\mu$g $\ell\sp{-1}$. Four exceeded the proposed activity screening level of 30 pCi $\ell\sp{-1}$. Isotopic ratios ranged from 0.87 to 41.8, while one sample contained $\sp{234}$U activity of 34.6 pCi $\ell\sp{-1}$ in the complete absence of its parent, $\sp{238}$U. U mass in the samples with elevated activity ranged from 0.0 to 103 $\mu$g $\ell\sp{-1}$. A limited test of screening surface and groundwaters for contamination by U from waste sites and natural processes was also successful. ^
Resumo:
In the midst of health care reform, and as health care organizations reorganize to provide more cost-effective healthcare, the population is being shifted into new healthcare delivery systems such as health insurance purchasing alliances, and health maintenance organizations. These new models of delivery are usually organized within resource restricted and data limited environments. Health care planners are faced with the challenge of identifying priorities for preventive and primary care services within these newly organized populations (Medicare HMO, Medicaid HMO, etc.). The author proposes a technique usually employed in epidemiology--attributable risk estimation--as a planning methodology to establish preventive health priorities within newly organized populations. Illustrations of the methodology are provided utilizing the Texas 1992 population. ^
Resumo:
Biodegradability is a desirable, if not a necessary characteristic of pesticides. Carbaryl, as Sevin, is one of the more widely used insecticides for the control of agricultural pests and has been reported to be readily degraded by microorganisms. Because of its broad application, the concentration of Sevin in surface waters has been reported to reach nearly four parts per million (PPM) in surface waters, where it has been reported to affect the growth and metabolic rates of aquatic bacterial populations. Following these reports, it is of public health importance to determine the effects of this insecticide on the growth and metabolic rates of bacteria used to indicate water pollution, and on pathogenic organisms which are found in polluted water.^ This study was conducted to determine the effect of carbaryl on the growth and metabolic rates of indicator and pathogenic organisms. Escherichia coli and Streptococcus faecalis were used as indicators, while Staphylococcus aureus and Salmonella typhimurium were the pathogens studied. Pure and mixed cultures of these organisms were exposed to two concentrations of carbaryl (Sevin).^ The study demonstrated that the fecal pollution indicator organisms, E. coli and S. faecalis respond differently to the presence of small concentrations of carbaryl in water as do the two pathogens tested, (S. typhimurium and S. aureus). The growth of all test organisms as measured by spread plate counts, was reduced by the presence of either one mg/l or five mg/l carbaryl within a period of eight days. Survival of the organisms in the presence of five mg/l carbaryl varied dependent upon whether the organism was in pure or mixed culture. In the presence of five mg/l carbaryl, both pure and mixed culture of E. coli showed longer survival. S. faecalis survived for more than eight days in pure culture, neither S. typhimurium nor S. aureus survived for eight days in pure culture.^ The metabolic rate of S. faecalis and S. aureus was reduced by both five mg/l and one mg/l Sevin concentrations, contrary to E. coli and S. typhimurium which had reduced metabolic rate with the introduction of five mg/l Sevin but showed an increase in the metabolic rate with one mg/l Sevin. There was no difference between the test and control when mixed populations were exposed to five mg/l Sevin and the metabolic rate tested. A mixture of E. coli and S. typhimurium populations showed a respiration increase over the control when exposed to one mg/l Sevin concentration. If similar effects occur in polluted surface waters, misleading results from bacteriological water quality testing may occur. ^
Resumo:
Path analysis has been applied to components of the iron metabolic system with the intent of suggesting an integrated procedure for better evaluating iron nutritional status at the community level. The primary variables of interest in this study were (1) iron stores, (2) total iron-binding capacity, (3) serum ferritin, (4) serum iron, (5) transferrin saturation, and (6) hemoglobin concentration. Correlation coefficients for relationships among these variables were obtained from published literature and postulated in a series of models using measures of those variables that are feasible to include in a community nutritional survey. Models were built upon known information about the metabolism of iron and were limited by what had been reported in the literature in terms of correlation coefficients or quantitative relationships. Data were pooled from various studies and correlations of the same bivariate relationships were averaged after z- transformations. Correlation matrices were then constructed by transforming the average values back into correlation coefficients. The results of path analysis in this study indicate that hemoglobin is not a good indicator of early iron deficiency. It does not account for variance in iron stores. On the other hand, 91% of the variance in iron stores is explained by serum ferritin and total iron-binding capacity. In addition, the magnitude of the path coefficient (.78) of the serum ferritin-iron stores relationship signifies that serum ferritin is the most important predictor of iron stores in the proposed model. Finally, drawing upon known relations among variables and the amount of variance explained in path models, it is suggested that the following blood measures should be made in assessing community iron deficiency: (1) serum ferritin, (2) total iron-binding capacity, (3) serum iron, (4) transferrin saturation, and (5) hemoglobin concentration. These measures (with acceptable ranges and cut-off points) could make possible the complete evaluation of all three stages of iron deficiency in those persons surveyed at the community level. ^
Resumo:
The overarching goal of the Pathway Semantics Algorithm (PSA) is to improve the in silico identification of clinically useful hypotheses about molecular patterns in disease progression. By framing biomedical questions within a variety of matrix representations, PSA has the flexibility to analyze combined quantitative and qualitative data over a wide range of stratifications. The resulting hypothetical answers can then move to in vitro and in vivo verification, research assay optimization, clinical validation, and commercialization. Herein PSA is shown to generate novel hypotheses about the significant biological pathways in two disease domains: shock / trauma and hemophilia A, and validated experimentally in the latter. The PSA matrix algebra approach identified differential molecular patterns in biological networks over time and outcome that would not be easily found through direct assays, literature or database searches. In this dissertation, Chapter 1 provides a broad overview of the background and motivation for the study, followed by Chapter 2 with a literature review of relevant computational methods. Chapters 3 and 4 describe PSA for node and edge analysis respectively, and apply the method to disease progression in shock / trauma. Chapter 5 demonstrates the application of PSA to hemophilia A and the validation with experimental results. The work is summarized in Chapter 6, followed by extensive references and an Appendix with additional material.
Resumo:
Despite continued research and public health efforts to reduce smoking during pregnancy, prenatal cessation rates in the United States have decreased and the incidence of low birth weight has increased from 1985 to 1991. Lower socioeconomic status women who are at increased risk for poor pregnancy outcomes may be resistant to current intervention efforts during pregnancy. The purpose of this dissertation was to investigate the determinants of continued smoking and quitting among low-income pregnant women.^ Using data from cross-sectional surveys of 323 low-income pregnant smokers, the first study developed and tested measures of the pros and cons of smoking during pregnancy. The original decisional balance measure for smoking was compared with a new measure that added items thought to be more salient to the target population. Confirmatory factor analysis using structural equation modeling showed neither the original nor new measure fit the data adequately. Using behavioral science theory, content from interviews with the population, and statistical evidence, two 7-item scales representing the pros and cons were developed from a portion (n = 215) of the sample and successfully cross-validated on the remainder of the sample (n = 108). Logistic regression found only pros were significantly associated with continued smoking. In a discriminant function analysis, stage of change was significantly associated with pros and cons of smoking.^ The second study examined the structural relationships between psychosocial constructs representing some of the levels of and the pros and cons of smoking. The cross-sectional design mandates that statements made regarding prediction do not prove causation or directionality from the data or methods analysis. Structural equation modeling found the following: more stressors and family criticism were significantly more predictive of negative affect than social support; a bi-directional relationship was found between negative affect and current nicotine addiction; and negative affect, addiction, stressors, and family criticism were significant predictors of pros of smoking.^ The findings imply reversing the trend of decreasing smoking cessation during pregnancy may require supplementing current interventions for this population of pregnant smokers with programs addressing nicotine addiction, negative affect, and other psychosocial factors such as family functioning and stressors. ^