994 resultados para Education, Secondary|Health Sciences, Public Health|Education, Health


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The United States health care system faces significant challenges, particularly with problems of the uninsured and with the rising costs of care. These problems lead many to study and discuss strategies for reforming the health care system. Four different plans for ideal health care reform, set forth by notable scholars or organizations, are explained herein. Then, states within the United States are examined in terms of their recent efforts at health care reform. Those states proposing significant changes to their health care systems are analyzed—namely, Maine, Massachusetts, and Vermont. The strategies used in these three states are compared to the strategies laid out by the experts in order to determine which strategies are the most popular in current health care reform efforts among the states studied here. These strategies are totaled to find which organization's plan for ideal reform seems to be the most popular. The strategies of managed competition are shown to be the most popular strategies among these three state health care reforms, while the strategies of the single-payer plan discussed herein were the least popular. All three states seem to utilize strategies that build upon their previous health care system, rather than implementing strategies that completely replace the previous system. ^

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The purpose of this study was to conduct a descriptive, exploratory analysis of the utilization of both traditional healing methods and western biomedical approaches to health care among members of the Vietnamese community in Houston, Texas. The first goal of the study was to identify the type(s) of health care that the Vietnamese use. The second goal was to highlight the numerous factors that may influence why certain health care choices are made. The third goal of this study was to examine the issue of preference to determine which practices would be used if limiting factors did not exist. ^ There were 81 participants, consisting of males and females who were 18 years or older. The core groups of participants were Vietnamese students from the University of Houston-Downtown and volunteer staff members from VN TeamWork. Asking the students and staff members to recommend others for the study used the snowball method of recruiting additional participants. ^ Surveys and informed consents were in English and Vietnamese. The participants were given the choice to take the surveys face-to-face or on their own. Surveys consisted of structured questions with predetermined choices, as well as, open-ended questions to allow more detailed information. The quantitative and qualitative data were coded and entered into a database, using SPSS software version 15.0. ^ Results indicated that participants used both traditional (38.3%) and biomedical (59.3%) healing, with 44.4% stating that it depended on the illness as to treatment. Coining was the most used traditional healing method, clearly still used by all ages. Coining was also the method most used when issues regarding fear and delayed western medical treatment were involved. It was determined that insurance status, more than household income, guided health care choices. A person's age, number of years spent in the United States, age at migration, and the use of certain traditional healing methods like coining all played a role in the importance of the health care practitioner speaking Vietnamese. The most important finding was that 64.2% of the participants preferred both traditional and western medicine because both methods work. ^

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Many patients with anxiety and depression initially seek treatment from their primary care physicians. Changes in insurance coverage and current mental parity laws, make reimbursement for services a problem. This has led to a coding dilemma for physicians seeking payment for their services. This study seeks to determine first the frequency at which primary care physicians use alternative coding, and secondly, if physicians would change their coding practices, provided reimbursement was assured through changes in mental parity laws. A mail survey was sent to 260 randomly selected primary care physicians, who are family practice, internal medicine, and general practice physicians, and members of the Harris County Medical Society. The survey evaluated the physicians' demographics, the number of patients with psychiatric disorders seen by primary care physicians, the frequency with which physicians used alternative coding, and if mental parity laws changed, the rate at which physicians would use a psychiatric illness diagnosis as the primary diagnostic code. The overall response rate was 23%. Only 47 of the 59 physicians, who responded, qualified for the study and of those 45% used a psychiatric disorder to diagnose patients with a primary psychiatric disorder, 47% used a somatic/symptom disorder, and 8% used a medical diagnosis. From the physicians who would not use a psychiatric diagnosis as a primary ICD-9 code, 88% were afraid of not being reimbursed and 12% were worried about stigma or jeopardizing insurability. If payment were assured using a psychiatric diagnostic code, 81% physicians would use a psychiatric diagnosis as the primary diagnostic code. However, 19% would use an alternative diagnostic code in fear of stigmatizing and/or jeopardizing patients' insurability. Although the sample size of the study design was adequate, our survey did not have an ideal response rate, and no significant correlation was observed. However, it is evident that reimbursement for mental illness continues to be a problem for primary care physicians. The reformation of mental parity laws is necessary to ensure that patients receive mental health services and that primary care physicians are reimbursed. Despite the possibility of improved mental parity legislation, some physicians are still hesitant to assign patients with a mental illness diagnosis, due to the associated stigma, which still plays a role in today's society. ^

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Based on the success of a community health and wellness program, Wellness in the City, delivered in Dallas County by trained volunteers, Texas Cooperative Extension (TCE) decided to pilot the program in 16 counties in North and East Texas. Before implementing the program, TCE wanted the Dallas County program to be reviewed and revised as needed to meet the diverse community needs in the pilot counties. TCE also asked for an implementation manual to be developed for the county agents to utilize. ^ To achieve these objectives, I first reviewed literature on other volunteer-implemented health interventions in the U.S. to see how they were planned, disseminated, implemented, and evaluated. Next, I reviewed the Wellness in the City program and materials. I applied all the information I gathered up to that point to the program development committee meetings (committee included seven TCE county agents, a TCE regional program director, and me). The program structure and training materials were revised based on our research and program implementation experience. These changes were made to ensure adequate training for the volunteers and to create a program that is applicable in the communities it will be piloted in. ^ With the program structure and training presentations developed, next I focused on compiling the implementation manual, which includes program details and volunteer recruitment, training, and management materials. The goal was to create a manual with everything the county agents will need to implement the program, so they can focus their efforts on putting the manual to use and recruiting and managing the volunteers. The final step was developing a program evaluation form for the agents to complete. It includes questions to assess the agents' thoughts about the training content, the feasibility of implementing the program using the manual, and the challenges of the program. ^

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In the last several decades traditional community health indicators have become ambiguous and lost some of their relevance. During this same period national and international health agencies adopted new expanded definitions of Health that include underlying social determinants. These two influences are responsible for a proliferation of new health indicators and many are constructed from a combination of older mortality measures and available information on morbidity. Problems inherent in attempting to combine these sources of information have produced a situation where some indicators are difficult to calculate at the national level and may not function at all for small communities. What is needed is a relevant measure of the burden of ill health appropriate for smaller populations that is accessible to local health planners. ^ Death records are still the best available population health information. In Europe the burden of health problems is often portrayed using 'premature' death. Health agencies in the United States have moved to adopt Years of Potential Life Lost. Both these regions are also developing systems of 'avoidable' or 'preventable' death as health indicators. This research proposes a method combining these methodologies to produce a relevant indicator portraying the burden of ill health in communities. ^

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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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Objective. The objective of this study is to determine the prevalence of MRSA colonization in adult patients admitted to intensive care units at an urban tertiary care hospital in Houston, Texas and to evaluate the risk factors associated with colonization during a three month active-screening pilot project. Design. This study used secondary data from a small cross-sectional pilot project. Methods. All patients admitted to the seven specialty ICUs were screened for MRSA by nasal culture. Results were obtained utilizing the BD GeneOhm™ IDI-MRSA assay in vitro diagnostic test, for rapid MRSA detection. Statistical analysis was performed using the STATA 10, Epi Info, and JavaStat. Results . 1283/1531 (83.4%) adult ICU admissions were screened for nasal MRSA colonization. Of those screened, demographic and risk factor data was available for 1260/1283 (98.2%). Unresolved results were obtained for 73 patients. Therefore, a total of 1187/1531 (77.5%) of all ICU admissions during the three month study period are described in this analysis. Risk factors associated with colonization included the following: hospitalization within the last six months (odds ratio 2.48 [95% CI, 1.70-3.63], p=0.000), hospitalization within the last 12 months, (odds ratio 2.27 [95% CI, 1.57-3.80], p=0.000), and having diabetes mellitus (odds ratio 1.63 [95% CI, 1.14-2.32], p=0.007). Conclusion. Based on the literature, the prevalence of MRSA for this population is typical of other prevalence studies conducted in the United States and coincides with the continual increasing trend of MRSA colonization. Significant risk factors were similar to those found in previous studies. Overall, the active surveillance screening pilot project has provided valuable information on a population not widely addressed. These findings can aid in future interventions for the education, control, prevention, and treatment of MRSA. ^

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Background. Diarrhea and malnutrition are the leading causes of mortality for children age one to four in the Dominican Republic. Communities within the Miches watershed lack sanitation infrastructure and water purification systems, which increases the risk of exposure to water-borne pathogens. The purpose of this cross-sectional study was to analyze health information gathered through household interviews and to test water samples for the presence of diarrheagenic pathogens and antibiotic-resistant bacteria within the Miches watershed. Methods. Frequency counts and thematic analysis were used to investigate Human Health Survey responses and Fisher's exact test was used to determine correlation between water source and reported illness. Bacteria cultured from water samples were analyzed by Gram stain, real-time PCR, API® 20E biochemical identification, and for antibiotic resistance. Results. Community members reported concerns about water sources with respect to water quality, availability, and environmental contamination. Pathogenic strains of E. coli were present in the water samples. Drinking aquifer water was positively-correlated with reported stomach aches (p=0.04) while drinking from rivers or creeks was associated with the reported absence of “gripe” (cold or flu) (p=0.01). The lack of association between reported illnesses and water source for the majority of variables suggested that there were multiple vehicles of disease transmission. Antibiotic resistant bacteria were isolated from the water samples tested. Conclusions. The presence of pathogenic E. coli in water samples suggested that water is at least one route of transmission for diarrheagenic pathogens in the Miches watershed. The presence of antibiotic-resistant bacteria in the water samples may indicate the proliferation of resistance plasmids in the environment as a result of antibiotic overuse in human and animal populations and a lack of sanitation infrastructure. An intervention that targets areas of hygiene, sanitation, and water purification is recommended to limit human exposure to diarrheagenic pathogens and antibiotic-resistant organisms. ^

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In 1979, China implemented the one child policy to stifle the burden of the massive demographic growth cast on the future economic development and quality of living conditions. At the time, a quarter of the world's population resided in China and occupied only 7 percent of the world's arable land (The World Factbook, 2006). The government set the target total population to about 1.4 billion for the year 2010 and to significantly reduce the natural increase rate. First this overview paper will describe population demographics and economy of China's society. This paper will also investigate what the one child policy entails and how it is implemented. Furthermore, the consequences of the policy in regard to population growth, sex ratio, marital discrepancies, adverse health of mother and child, aging population, and pension coverage will be examined. Finally, future recommendations and an alternative policy will be postulated to increase the effectiveness of the policy and improve its effects on health. ^

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Background. The purpose of this study was to describe the risk factors and demographics of persons with salmonellosis and shigellosis and to investigate both seasonal and spatial variations in the occurrence of these infections in Texas from 2000 to 2004, utilizing time series analyses and the geographic information system digital mapping methods. ^ Methods. Spatial Analysis: MapInfo software was used to map the distribution of age-adjusted rates of reported shigellosis and salmonellosis in Texas from 2000–2004 by zip codes. Census data on above or below poverty level, household income, highest level of educational attainment, race, ethnicity, and urban/rural community status was obtained from the 2000 Decennial Census for each zip code. The zip codes with the upper 10% and lower 10% were compared using t-tests and logistic regression to determine whether there were any potential risk factors. ^ Temporal analysis. Seasonal patterns in the prevalence of infections in Texas from 2000 to 2003 were determined by performing time-series analysis on the numbers of cases of salmonellosis and shigellosis. A linear regression was also performed to assess for trends in the incidence of each disease, along with auto-correlation and multi-component cosinor analysis. ^ Results. Spatial analysis: Analysis by general linear model showed a significant association between infection rates and age, with young children aged less than 5 and those aged 5–9 years having increased risk of infection for both disease conditions. The data demonstrated that those populations with high percentages of people who attained a higher than high school education were less likely to be represented in zip codes with high rates of shigellosis. However, for salmonellosis, logistic regression models indicated that when compared to populations with high percentages of non-high school graduates, having a high school diploma or equivalent increased the odds of having a high rate of infection. ^ Temporal analysis. For shigellosis, multi-component cosinor analyses were used to determine the approximated cosine curve which represented a statistically significant representation of the time series data for all age groups by sex. The shigellosis results show 2 peaks, with a major peak occurring in June and a secondary peak appearing around October. Salmonellosis results showed a single peak and trough in all age groups with the peak occurring in August and the trough occurring in February. ^ Conclusion. The results from this study can be used by public health agencies to determine the timing of public health awareness programs and interventions in order to prevent salmonellosis and shigellosis from occurring. Because young children depend on adults for their meals, it is important to increase the awareness of day-care workers and new parents about modes of transmission and hygienic methods of food preparation and storage. ^

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Background. Previous studies show emergency rooms to be over crowded nation wide. With growing attention to this problem, the Houston-Galveston Area Council (H-GAC) initiated a study in 2005 to assess their region's emergency health care system, and continued this effort in 2007. The purpose of this study was to examine recent changes in volume, capacity and performance in the Houston-Galveston region's emergency health care system and determine whether the system has been able to effectively respond to the residents' demands. Methods. Data were collected by the Houston-Galveston Area Council and The Abaris Group using a self-administered 2002-2006 survey completed by administrators of the region's hospitals, EMS providers, and select fire departments that provide EMS services. Data from both studies were combined and matched to examine trends. Results. Volume increased among the reporting hospitals within the Houston-Galveston region from 2002 to 2006; however, capacity remained relatively unchanged. EMS providers reported higher average off load times in 2007 compared to 2005, but the increases were not statistically significant. Hospitals reported transferring a statistically significant greater percentage of patients in 2006 than 2004. There was no statistically significant change in any of the other measures. Conclusion. These findings indicate an increase in demand for the Houston-Galveston region's emergency healthcare services with no change in supply. Additional studies within the area are needed to fully assess and evaluate the impact of these changes on system performance. ^

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Purpose. The purpose of the study was to use measures of an HIV positive child's health to examine whether or not there is a difference in their health status according to caretaker and household economic status. ^ Study design. This was a case comparison study between HIV infected children living with parents and those living with grandparents. ^ Study setting. The study was conducted at the Pediatric Infectious Disease Clinic (PIDC) in Mulago, Kampala, Uganda. ^ Participants. 369 HIV-infected children aged seven months to 15 years attending the PIDC between June 13th and August 15th 2007 as well as their caretakers. ^ Method. Patients were recruited during their clinic visits after they had seen the health care providers and waited to receive their medication. Methods used included a survey of all the 369 caregiver participants and abstraction of data from the 369 patient charts. ^ Results. There was no significant association between staging and caretaker status (OR: 0.73 95%CI 0.44–1.21 p=0.09). Children taken care of by grandparents were more likely to have low height for age z-scores and higher weight for height z-scores (OR: 0.32, 95%CI: 0.14–0.74, p = 0.005). There was no difference is social support seeking behavior between parents and grandparents. ^ Conclusion. There was no statistically significant association observed between caretaker status and presenting in advanced stages. This implies that the stage at which HIV-infected children present for care is not determined by the type of caretaker. Caretakers for HIV-infected children need a lot of support beyond medical care. ^

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Research examining programs designed to retain patients in health care focus on repeated interactions between outreach workers and patients (Bradford et al. 2007; Cheever 2007). The purpose of this study was to determine if patients who are peer-mentored at their intake exam remain in care longer and attend more physicians' visits than those who were not mentored. Using patients' medical records and a previously created mentor database, the study determined how many patients attended their intake visit but subsequently failed to establish regular care. The cohort study examined risk factors for establishing care, determined if patients lacking a peer mentor failed to establish care more than peer mentor assisted patients, and subsequently if peer mentored patients had better health outcomes. The sample consists of 1639 patients who were entered into the Thomas Street Patient Mentor Database between May 2005 and June 2007. The assignment to the mentored group was haphazardly conducted based on mentor availability. The data from the Mentor Database was then analyzed using descriptive statistical software (SPSS version 15; SPSS Inc., Chicago, Illinois, USA). Results indicated that patients who had a mentor at intake were more likely to return for primary care HIV visits at 90 and 180 days. Mentored patients also were more likely to be prescribed ART within 180 days from intake. Other risk factors that impacted remaining in care included gender, previous care status, time from diagnosis to intake visit, and intravenous drug use. Clinical health outcomes did not differ significantly between groups. This supports that mentoring did improve outcomes. Continuing to use peer-mentoring programs for HIV care may help in increasing retention of patients in care and improving patients' health in a cost effective manner. Future research on the effects of peer mentoring on mentors, and effects of concordance of mentor and patient demographics may help to further improve peer-mentoring programs. ^

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Objective. To examine and evaluate racial and ethnic disparities in glycemic control among HRS respondents with diabetes aged 55-94 years. ^ Methods. The HRS Diabetes 2003 database provides data on blood-drawn glycemic control and self-reported demographics, socioeconomic status, clinical, health access and self-care characteristics. 1,141 non-Hispanic White, non-Hispanic Black, and Hispanic respondents were included in multiple logistic regression of glycemic control. ^ Results. The rate of poor control was significantly higher among Blacks (61.5%, 105/171) and Hispanics (65.3% 72/110) than among Whites (45.0% 387/860) (p < 0.01). After controlling for influential covariates and interactions, Blacks and Hispanics had a three-fold increased risk for poor control compared to Whites when duration was five years or less. ^ Conclusions. Clinical and self-perception variables, like duration, medication, and self-rated poor diabetes control affected glycemic control independent of race and ethnicity, but there remains unexplained racial and ethnic disparities for newly-diagnosed individuals. This is the first study to find an interaction between duration and race and ethnicity on glycemic control. Future research should incorporate cultural beliefs and attitudes about diabetes control that may explain the racial and ethnic disparity. ^

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Perhaps it was foreshadowing the influence emerging technologies would have on health when the term "podcast" beat out "bird flu" for the 2005 word of the year, an honor given by The New Oxford American Dictionary. From medical school courses to medical journal summaries, podcasting has found a niche in the health field and with studies showing a high proportion of people using the Internet to seek health information, it is imperative that the online information be accurate and easily accessible. With the responsibility of health departments to reach out to their respective communities with effective health communication strategies, this study assessed the proportion of 50 states' and the District of Columbia's health departments utilizing podcasting as a tool for health communication. Additionally, to assess any trends, the prevalence of podcasting was compared to select state demographic characteristics (age, sex, and median income), the organization of the health department (freestanding or super-agency), and the respective United Health Foundation 2007 health ranking. ^ Prevalence data were collected from each state health department's website to find evidence of podcasting to any extent. If a podcast was present, characteristics including creator, release frequency, and transcript were further assessed. The study found that 51% (26/51) of all health departments were utilizing podcasts in some capacity and almost 20% (5/26) of these had created their own podcasts. The most common use of podcasting was to link to outside podcast resources, most notably, the Centers for Disease Control's podcast series. No significant associations were found between the state-specific variables and the podcasting outcomes; however, higher percentages of young adults in some states suggest potential podcasting opportunities for targeting these known podcast users with age-specific health messages. Another recommendation is a future assessment of local health departments' use of podcasting as their smaller, more defined target audiences may be a more efficient use of podcasting as a health communication tool. Additionally, there is a need for evaluations of podcasts' overall effectiveness as a health communication tool to (1) reach a target audience; and (2) convey a specific health message. In conclusion, the findings from this project illuminate the extent of podcast influence in states' and the District of Columbia's health departments as a health communication tool; however evaluations of effectiveness are imperative for future studies.^