Texas Department of Health organizational structure changes: A reflection of public health policy and agency expansion, September 1, 1946--June 30, 1994

The premise of this study is that changes in the agency's organizational structure reflect changes in government public health policy. Based on this premise, this study tracks the changes in the organizational structure and the overall expansion of the Texas Department of Health to understand the evolution of changing public health priorities in state policy from September 1, 1946 through June 30, 1994, a period of growth and new responsibilities. It includes thirty-seven observations of organizational structure as depicted by organizational charts of the agency and/or adapted from public documents. ^ The major questions answered are, what are the changes in the organizational structure, why did they occur and, what are the policy priorities reflected in these changes in and across the various time periods. ^ The analysis of the study included a thorough review of the organizational structure of the agency for the time-span of the study, the formulation of the criteria to be used in ascertaining the changes, the delineation of the changes in the organizational structure and comparison of the observations sequentially to characterize the change, the discovery of reasons for the structural changes (financial, statutory - federal and state, social and political factors), and the determination of policy priorities for each time period and their relation to the expansion and evolution of the agency. ^ The premise that the organizational structure of the agency and the changes over time reflect government public health policy and agency expansion was found to be true. ^

Interrelationships between the structural and functional aspects of social relationships, comorbidity and health related quality of life in breast cancer survivors

It is widely acknowledged in theoretical and empirical literature that social relationships, comprising of structural measures (social networks) and functional measures (perceived social support) have an undeniable effect on health outcomes. However, the actual mechanism of this effect has yet to be clearly understood or explicated. In addition, comorbidity is found to adversely affect social relationships and health related quality of life (a valued outcome measure in cancer patients and survivors). ^ This cross sectional study uses selected baseline data (N=3088) from the Women's Healthy Eating and Living (WHEL) study. Lisrel 8.72 was used for the latent variable structural equation modeling. Due to the ordinal nature of the data, Weighted Least Squares (WLS) method of estimation using Asymptotic Distribution Free covariance matrices was chosen for this analysis. The primary exogenous predictor variables are Social Networks and Comorbidity; Perceived Social Support is the endogenous predictor variable. Three dimensions of HRQoL, physical, mental and satisfaction with current quality of life were the outcome variables. ^ This study hypothesizes and tests the mechanism and pathways between comorbidity, social relationships and HRQoL using latent variable structural equation modeling. After testing the measurement models of social networks and perceived social support, a structural model hypothesizing associations between the latent exogenous and endogenous variables was tested. The results of the study after listwise deletion (N=2131) mostly confirmed the hypothesized relationships (TLI, CFI >0.95, RMSEA = 0.05, p=0.15). Comorbidity was adversely associated with all three HRQoL outcomes. Strong ties were negatively associated with perceived social support; social network had a strong positive association with perceived social support, which served as a mediator between social networks and HRQoL. Mental health quality of life was the most adversely affected by the predictor variables. ^ This study is a preliminary look at the integration of structural and functional measures of social relationships, comorbidity and three HRQoL indicators using LVSEM. Developing stronger social networks and forming supportive relationships is beneficial for health outcomes such as HRQoL of cancer survivors. Thus, the medical community treating cancer survivors as well as the survivor's social networks need to be informed and cognizant of these possible relationships. ^

Racial and ethnic disparities in diabetes mellitus and hypertension: Influence of income and insurance status in a cross-sectional study of the United States

Racial/ethnic disparities in diabetes mellitus (DM) and hypertension (HTN) have been observed and explained by socioeconomic status (education level, income level, etc.), screening, early diagnosis, treatment, prognostic factors, and adherence to treatment regimens. To the author's knowledge, there are no studies addressing disparities in hypertension and diabetes mellitus utilizing Hispanics as the reference racial/ethnic group and adjusting for sociodemographics and prognostic factors. This present study examined racial/ethnic disparities in HTN and DM and assessed whether this disparity is explained by sociodemographics. To assess these associations, the study utilized a cross-sectional design and examined the distribution of the covariates for racial/ethnic group differences, using the Pearson Chi Square statistic. The study focused on Non-Hispanic Blacks since this ethnic group is associated with the worst health outcomes. Logistic regression was used to estimate the prevalence odds ratio (POR) and to adjust for the confounding effects of the covariates. Results indicated that except for insurance coverage, there were statistically significant differences between Non-Hispanic Blacks and Non-Hispanic Whites, as well as Hispanics with respect to study covariates. In the unadjusted logistic regression model, there was a statistically significant increased prevalence of hypertension among Non-Hispanic Blacks compared to Hispanics, POR 1.36, 95% CI 1.02-1.80. Low income was statistically significantly associated with increased prevalence of hypertension, POR 0.38, 95% CI 0.32-0.46. Insurance coverage, though not statistically significant, was associated with an increase in the prevalence of hypertension, p>0.05. Concerning DM, Non-Hispanic Blacks were more likely to be diabetic, POR 1.10, 95% CI 0.85-1.47. High income was statistically significantly associated with decreased prevalence of DM, POR 0.47, 95% CI 0.39-0.57. After adjustment for the relevant covariates, the racial disparities between Hispanics and Non-Hispanic Blacks in HTN was removed, adjusted prevalence odds (APOR) 1.21, 95% CI 0.88-1.67. In this sample, there was racial/ethnic disparity in hypertension but not in diabetes mellitus between Hispanics and Non-Hispanic Blacks, with disparities in hypertension associated with socioeconomic status (family income, education, marital status) and also by alcohol, physical activity and age. However, race, education and BMI as class variables were statistically significantly associated with hypertension and diabetes mellitus p<0.0001. ^

Pediatric antiretroviral adherence and child disclosure in Botswana

The scale-up of antiretrovirals (ARVs) to treat HIV/AIDS in Africa has been rapid over the last five years. Botswana was the first African nation to roll out a comprehensive ARV program, where ARVs are available to all citizens who qualify. Excellent adherence to these ARVs is necessary to maintain HIV suppression and on-going health of all individuals taking them. Children rely almost entirely on their caregivers for the administration of these medications, and very little research has been done to examine the factors which affect both adherence and disclosure to the child of their HIV status. ^ Methods. This cross-sectional study used multiple methods to examine adherence, disclosure, and stigma across various dimensions of the child and caregiver's lives, including 30 caregiver questionnaires, interviewer-administered 3-day adherence recalls, pharmacy pill counts, and chart reviews. Fifty in-depth interviews were conducted with caregivers, male caregivers, teenagers, and health care providers. ^ Results. Perceived family stigma was found to be a predictor of excellent adherence. After controlling for age, children who live with their mothers were significantly less likely to know their HIV status than children living with any other relative (OR=0.403, p=0.014). Children who have a grandmother living in the household or taking care of them each day are significantly more likely to have optimal adherence than children who don't have grandmother involvement in their daily lives. ^ Discussion. Visible illness plays an intermediary role between adherence and perceived family stigma: Caregivers know that ARVs suppress physical manifestations of HIV, and in an effort to avoid unnecessary disclosure of the child's status to family members, therefore have children with excellent adherence. Grandmothers play a vital role in supporting the care and treatment of children in Botswana. ^

An ecologic comparison study of the impact of economic disadvantage on Texas Assessment of Knowledge and Skills performance, graduation rates, and readiness for higher education for students attending public and charter schools in Texas from 2004 to 2006

Purpose. No Child Left Behind aimed to "improve the academic achievement of the disadvantaged." The primary research question considered how academic achievement of those from economic disadvantage compared to those not from disadvantage? ^ Economically disadvantaged students can potentially have added academic disadvantage. Research shows low academic achievement can potentially result in drug abuse, youth violence, and teen pregnancy. ^ Methods. To compare the student populations, measures included TAKS results and academic indicator data collected by the Texas Education Agency. ^ Results. T-test analyses showed a significant difference between the economically and non-economically disadvantaged student populations in meeting the TAKS passing standard, graduation, and preparation for higher education.^ Conclusions. The achievement gap between students remained as indicated by the Texas testing program. More research and time are needed to observe if the desired impact on those from economic disadvantage will be reflected by academic achievement data.^

Locus of control as a predictor of students dropping out of high school

Education is related to health. In cross-sectional data, education level has been associated with physical functioning. Also, lower levels of education have been associated with health behaviors including smoking, alcohol use, and greater body weight. In school, students may benefit from greater exposed to health-related messages, while students who have dropped out may be more susceptible to influences regarding negative health behaviors such as smoking. ^ Improved school retention might improve long-term health outcomes. However, there is limited evidence regarding modifiable factors that predict likelihood of dropping out. Two likely psychosocial measures are locus of control and parent-child academic conversations. In the current study, data from two waves of a population-based longitudinal survey, the National Education Longitudinal Survey, were utilized to evaluate whether these two psychosocial measures could predict likelihood of dropping out, for students (n = 16,749) in tenth grade at 1990, with dropout status determined at 1992, while controlling for recognized sociodemographic predictors including parental income, parental education level, race/ethnicity, and sex. Locus of control was measured with the Pearlin Mastery Scale, and parent-child academic conversations were measured by three questions concerning course selection at school, school activities and events, and things the student studied in class. ^ In a logistic regression model, with the sociodemographic control measures entered in a first step before entry of the psychosocial measures in a second step, this study determined that lower levels of locus of control were associated with greater likelihood of dropping out after two years (odds ratio (OR) = 1.11, 95% confidence interval (CI) 108 to 1.15, p < .001), and two of the three parent-child academic discussion items were associated with greater likelihood of dropping out after two years (OR = 1.69, CI 1.48-1.93, p < .001; OR = 1.22, CI 1.05-1.41, p = .01; OR = 1.01, CI .88-1.15, p = .94). ^ It is possible that interventions aimed at improving locus of control, and aimed at building parent-child academic conversations, could lower the likelihood of students dropping out, and this in turn could yield improved heath behaviors and health status in the child's future. ^

Physician's adherence to the standard protocol for diabetes treatment in Brooke Army Medical Center (BAMC)

The level of compliance with clinical practice guidelines for patients with Type II Diabetes Mellitus was evaluated in 157 patients treated at BAMC from 1 January 2006 to 1 January 2007. This retrospective analysis was conducted reviewing data from medical records and following the VA/DOD protocols that health care providers are expected to follow at this facility. Data collected included patient’s age and gender, presence or absence of complications of diabetes, physical examination findings, glycemic and lipid control, eye care, foot care, kidney function, and self-management and education. Subjects were selected performing systematic random sampling, and included both male and female patients, from a variety of ages and ethnic groups. The Diabetes complications screened for included glycemic and lipid complications, retinopathy, cardiovascular complications, peripheral circulation complications, and nephropathy. The results revealed that 19.10% had no complications and that the most common complications were: cardiovascular (49.68%), glycemic and lipid control (10.82%), retinopathy and peripheral circulation (8.28% each), and nephropathy (2.54%). Only 2.54% of the records reviewed did not include information on complications. Strictly following the Department of Defense guidelines, six treatment modules were evaluated independently and together to get a final percentage of adherence to the clinical practice guidelines. It was established that the level of adherence was going to be graded as follows: Extremely deficient: 0-15%; very poor: 16-30%; Poor and in need of improvement: 31-45%. Acceptable: 46-60%; Good: 61-80%, and Excellent: 81-100%. The results indicated that the percentage of physicians' adherence to each protocol was as follows: 88.31%, 89.93%, 90.63%, 89.42%, 89.42% and 89.64%. When the results were pooled, the level of adherence to the clinical practice guidelines was 89.55%, proving my hypothesis that Brooke Army Medical Center physicians have excellent adherence to the standard protocols for Diabetes Type II to treat their patients. ^

Prevalence of depressive symptoms among Hispanic women attending a public health clinic

Background. Estimates of perinatal depression have ranged from 5% to more than 25% of women (Gavin et al. 2005). Although Hispanics have one of the highest birthrates, few studies have looked at the prevalence of depression among this population. This study aims to describe the prevalence of depressive symptoms among a sample of Hispanic women. Methods. A convenience sample of 439 Hispanic women were screened for depression using the Center for Epidemiologic Studies Depression Scale. Sociodemographic data relating to pregnancy were also collected. Results. Although bivariate analysis found several variables to be significant, multivariate analysis found only marital and pregnancy status to be significant in predicting depression. Conclusions. While marital and pregnancy status proved to the strongest predictors for depression, future research would benefit from collecting information on timing of pregnancy and postpartum to further explore the role of pregnancy status and depressive symptoms. ^

Systematic review of interventions designed to reduce screen time in children and adolescents

This descriptive systematic review describes intervention trials for children and youth that targeted screen time (ST) as a way to prevent or control obesity and measured ST, and at least one of the following: physical activity, dietary intake, and adiposity. Both “hands-on” (e.g., video games) and “hands free” (e.g., television viewing) ST were included. Published, completed intervention trials (k=12), not-yet-published, completed trials (k=6), and in-progress trials (k=11) were identified through searches of electronic databases, including trial registries and bibliographies of eligible study reports. Study characteristics of the 29 identified trials were coded and presented in evidence tables. Considerable attention was paid to the type of ST addressed, measures used, and the type of interventions. Based on the number of in-progress and not-yet-published trials, the number of completed, published reports will double in the next three years. Most of the studies were funded by federal sources. General populations, not restricted by race, gender, or weight status, were targets of most interventions with children ages 9-12 yeas as the modal age group. Most trials used randomized control trials in which the majority of control or comparison group received an intervention. The mean number of participants was 242.8 (SD=314.7) and interventions were delivered over an average of 10.5 months and consisted of approximately 16 sessions, with a total time of about eight hours. The majority of completed trials evaluate each of the four constructs, however, most studies have more than one measure to assess each construct (e.g., BMI and tricep skinfold thickness to evaluate adiposity) and rarely did studies use the same measures. This is likely why the majority of studies produced at least one significant intervention effect on each outcome that was assessed. The four major outcomes should be evaluated in all interventions attempting to reduce screen time in order to determine the mechanisms involved that may contribute to obesity. More importantly researchers should work together to determine the best measures to evaluate the four main constructs to allow studies to be compared. Another area for consensus is the definition of ST. ^

Psychosocial job characteristics as predictors of overall health: Results from a community-based cross-sectional study conducted in southeast Texas in 2001 and 2002

Stress at the workplace exposes people to increased risk for poor physical and/or mental health. Recently psychological and social disadvantages have been proven to place the worker at risk for mental or physical health outcomes. The overall purpose of this study was to study full time employed study subjects and (1) describe the various psychosocial job characteristics in a population of low income individuals stratified by race/ethnicity residing in Houston and Brownsville, Texas and (2) examine the associations between psychosocial job characteristics and physical, mental, and self rated health. It was observed that having a low level of education is associated with having very little or no control, security, and social support at the workplace. Being Mexican American was associated with having good job control, job security, job social support and having a less demanding job. Furthermore, the psychosocial job characteristics were associated with mental health outcomes but not with physical and self rated health. ^

Management and outcomes of anorectal infection in the cancer patient

Background. The objective of this retrospective cohort study is to examine the presentation and outcomes for a contemporary series of cancer patients with anorectal infection. In addition, we seek to identify factors which are associated with surgical intervention. ^ Methods. The study cohort was identified from ICD-9 codes for diagnosis of infection of the anal and rectal region and patients who underwent a surgical oncology consultation between 1/2000 and 12/2006. Clinical presentation, treatment rendered, and outcomes were retrospectively recorded. ^ Results. Of the 100 patients evaluated by the surgical oncology service for anorectal infection, 42 were treated non-operatively and 58 underwent surgical intervention. Factors associated with surgical intervention based on logistic multivariable analysis included the diagnosis of an abscess (odds ratio [OR] 10.5; 95% confidence interval [CI] 2.9-38.5) and the documentation of erythema on physical examination (OR 3.1; 95% CI 1.1-8.4). Thrombocytopenia (platelets < 50,000) was associated with non-operative management (OR 0.3; 95% CI 0.1-0.7). Incision and drainage was the most common surgical procedure (79%) while a wide debridement for a necrotizing soft tissue infection was required in 2 patients. Infection-specific 90-day mortality was only 1% (N=1). However, the median overall survival for the entire cohort was only 14.4 months (95% CI 7.9-19.5). ^ Conclusions. Non-operative management is a reasonable treatment option for anorectal infection in patients with cancer. Identification of an abscess, erythema on physical exam, and thrombocytopenia were associated with management strategy. Although rare, necrotizing soft tissue infections are associated with significant mortality. ^

Introduction to public health preparedness for disaster and emergency response

The unprecedented attacks of September 11, 2001, and the subsequent anthrax-related events thrust our nation's often forgotten public health system into the forefront of public attention. A strong public health system with a well-prepared workforce plays a critical role in preparing for and responding to the threat of bioterrorism and other disasters and emergencies. Technical expertise is critical as is a basic awareness and understanding of core public health competencies especially as they relate to disaster and emergency response is also imperative for a public health agency to function as a vital Emergency Response team member. Ideally this training should begin at the Public Health graduate level so as to provide the baseline core tools to be able to function as a vital team member when they are practicing out in the real world. Online learning is an efficient and effective method for providing public health education to in a flexible format to meet the needs of busy student-professions. This Public Health Disaster Preparedness online course developed during an Emergency Response state program practicum is a practical and proficient approach to accomplish this endeavor. ^

The School Sealant Program: An evaluation of the oral health education component

Dental caries is a common preventable childhood disease leading to severe physical, mental and economic repercussions for children and their families if left untreated. A needs assessment in Harris County reported that 45.9% of second graders had untreated dental caries. In order to address this growing problem, the School Sealant Program (SSP), a primary preventive initiative, was launched by the Houston Department of Health and Human Services (HDHHS) to provide oral health education, and underutilized dental preventive services to second grade children from participating Local School Districts (LSDs). ^ To determine the effectiveness and efficiency of the SSP, a program evaluation was conducted by the HDHHS between September 2007 and June 2008 for the Oral Health Education (OHE) component of the SSP. The objective of the evaluation was to assess short term changes in oral health knowledge of the participants and determine if these changes, if any, were due to the OHE sessions. An 8-item multiple choice pre/post test was developed for this purpose and administered to the participants before and immediately after the OHE sessions. ^ The present project analyzed pre and post test data of 1,088 second graders from 22 participating schools. Changes in overall and topic-specific knowledge of the program participants before and after the OHE sessions were analyzed using the Wilcoxon's signed rank test. ^ Results. The overall knowledge assessment showed a statistically significant (p <0.001) increase in the dental health knowledge of the participants after the oral health education sessions. Participants in the higher scoring category (7-8 correct responses) increased from 9.5% at baseline to 60.8% after the education sessions. Overall knowledge increased in all school regions with the highest knowledge gains seen in the Central and South regions. Males and females had similar knowledge gains. Significant knowledge differences were also found for each of the topic specific categories (functions of teeth, healthy diet, healthy habits, dental sealants; p<0.001) indicating an increase in topic specific knowledge of the participants post-health education sessions. ^ Conclusions. The OHE sessions were successful in increasing the short term oral health knowledge of the participants. ^

A model for use by local public health departments to evaluate pandemic influenza plans

The events of the 1990's and early 2000's demonstrated the need for effective planning and response to natural and man-made disasters. One of those potential natural disasters is pandemic flu. Once defined, the CDC stated that program, or plan, effectiveness is improved through the process of program evaluation. (Centers for Disease Control and Prevention, 1999) Program evaluation should be accomplished not only periodically, but in the course of routine administration of the program. (Centers for Disease Control and Prevention, 1999) Accomplishing this task for a "rare, but significant event" is challenging. (Herbold, John R., PhD., 2008) To address this challenge, the RAND Corporation (under contract to the CDC) developed the "Facilitated Look-Backs" approach that was tested and validated at the state level. (Aledort et al., 2006).^ Nevertheless, no comprehensive and generally applicable pandemic influenza program evaluation tool or model is readily found for use at the local public health department level. This project developed such a model based on the "Facilitated Look-Backs" approach developed by RAND Corporation. (Aledort et al., 2006) Modifications to the RAND model included stakeholder additions, inclusion of all six CDC program evaluation steps, and suggestions for incorporating pandemic flu response plans in seasonal flu management implementation. Feedback on the model was then obtained from three LPHD's—one rural, one suburban, and one urban. These recommendations were incorporated into the final model. Feedback from the sites also supported the assumption that this model promotes the effective and efficient evaluation of both pandemic flu and seasonal flu response by reducing redundant evaluations of pandemic flu plans, seasonal flu plans, and funding requirement accountability. Site feedback also demonstrated that the model is comprehensive and flexible, so it can be adapted and applied to different LPHD needs and settings. It also stimulates evaluation of the major issues associated with pandemic flu planning. ^ The next phase in evaluating this model should be to apply it in a program evaluation of one or more LPHD's seasonal flu response that incorporates pandemic flu response plans.^

Hospital and environmental variation in Texas nonprofit hospital organizational policies regarding charity care

The 2005 Annual Statement of Community Benefits Standard (ASCBS) and the annual report of the Community Benefits Plan, Summary of Current Hospital Charity Care Policy and Community Benefits, were used to identify various environmental and policy relationships with regard to eligibility for charity care requirements, a component for meeting the nonprofit requirements established by the Texas Legislature for nonprofit tax exemption (Texas Health and Safety Code, §311.04610). ^ Charity care policies are established by the individual hospital (or systems) and are generally defined as rules concerning care provided by the institution without the expectation of payment. This study has been undertaken to provide specific information about the charity care eligibility requirement policies of nonprofit hospitals. These hospitals are the part of the safety net for those persons who are indigent, low-income and uninsured. This study examines nonprofit hospitals by physical location, bed size, religious affiliation, trauma level, disproportionate share, and teaching designations. County information includes population, percentage of residents eligible for Medicaid benefits, ethnic makeup of county residents, poverty level, designation of a hospital district or operators of a public hospital, and the number of nonprofit and for-profit hospitals located in the county. Although this information has been collected by the Texas Department of State Health Services (DSHS), no other analysis has been conducted. ^