Process evaluation of the Texas occupational safety & health surveillance system

Introduction: The Texas Occupational Safety & Health Surveillance System (TOSHSS) was created to collect, analyze and interpret occupational injury and illness data in order to decrease the impact of occupational injuries within the state of Texas. This process evaluation was performed midway through the 4-year grant to assess the efficiency and effectiveness of the surveillance system’s planning and implementation activities1. ^ Methods: Two evaluation guidelines published by the Centers for Disease Control and Prevention (CDC) were used as the theoretical models for this process evaluation. The Framework for Program Evaluation in Public Health was used to examine the planning and design of TOSHSS using logic models. The Framework for Evaluating Public Health Surveillance Systems was used to examine the implementation of approximately 60 surveillance activities, including uses of the data obtained from the surveillance system. ^ Results/Discussion: TOSHSS planning activities omitted the creation of a scientific advisory committee and specific activities designed to maintain contacts with stakeholders; and proposed activities should be reassessed and aligned with ongoing performance measurement criteria, including the role of collaborators in helping the surveillance system achieve each proposed activity. TOSHSS implementation activities are substantially meeting expectations and received an overall score of 61% for all activities being performed. TOSHSS is considered a surveillance system that is simple, flexible, acceptable, fairly stable, timely, moderately useful, with good data quality and a PVP of 86%. ^ Conclusions: Through the third year of TOSHSS implementation, the surveillance system is has made a considerable contribution to the collection of occupational injury and illness information within the state of Texas. Implementation of the nine recommendations provided under this process evaluation is expected to increase the overall usefulness of the surveillance system and assist TDSHS in reducing occupational fatalities, injuries, and diseases within the state of Texas. ^ 1 Disclaimer: The Texas Occupational Safety and Health Surveillance System is supported by Grant/Cooperative Agreement Number (U60 OH008473-01A1). The content of the current evaluation are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health.^

A PUBLIC HEALTH SURVEILLANCE SYSTEM FOR THE WESTERN CAYO DISTRICT, BELIZE (DISEASE)

A demonstration project entailing disease surveillance was conducted in the western Cayo District, Belize, from November 1981 to March 1982. The purpose was to test and demonstrate the feasibility of community-based surveillance. Interviews were conducted in three hundred twenty households at monthly intervals over a five-month period. Information regarding disease prevalence and medical care utilization relevant to public health practice was analyzed by staff attached to the health center in Benque Viejo. Data collected at the health center were used to validate reported findings.^ Differences between reported and actual study findings regarding clinic visits were small, though in many instances statistically significant. The proportion of underreported clinic visits was greater than the proportion overreported. Overall, reporting accuracy improved with time, particularly from the first to second month. Clinic utilization experience reported for men was as accurate as that reported for females.^ There was agreement between interview and clinic disease findings. In fact, the proportion of conditions defined in the interview and matched to clinic findings was high (malaria, diarrhea, dysentery, skin sores and ulcerations, and problems of nutrition) except for upper respiratory disorders. Finally, some conditions were more likely to be taken to the health center than others, e.g., children with diarrhea or skin sores and ulcerations were less likely to be taken to the health center than if they had malaria. ^

Syndromic surveillance at a long term shelter for persons displaced by hurricanes Katrina and Rita conducted by the San Antonio Metropolitan Health District

Background. Beginning September 2, 2005, San Antonio area shelters received approximately 12,700 evacuees from Hurricane Katrina. Two weeks later, another 12,000 evacuees from Hurricane Rita arrived. By mid-October, 2005, the in-shelter population was 1,000 people. There was concern regarding the potential for spread of infectious diseases in the shelter. San Antonio Metropolitan Health District (SAMHD) established a syndromic surveillance system with Comprehensive Health Services (CHS) who provided on-site health care. CHS was in daily contact with SAMHD to report symptoms of concern until the shelter closed December 23, 2005. ^ Study type. The objective of this study was to assess the methods used and describe the practical considerations involved in establishing and managing a syndromic surveillance system, as established by the SAMHD in the long-term shelter clinic maintained by CHS for the hurricane evacuees. ^ Methods. Information and descriptive data used in this study was collected from multiple sources, primarily from the San Antonio Metropolitan Health District’s 2006 Report on Syndromic Surveillance of a Long-Term Shelter by Hausler & Rohr-Allegrini. SAMHD and CHS staff ensured that each clinic visit was recorded by date, demographic information, chief complaint and medical disposition. Logs were obtained daily and subsequently entered into a Microsoft Access database and analyzed in Excel. ^ Results. During a nine week period, 4,913 clinic visits were recorded, reviewed and later analyzed. Repeat visits comprised 93.0% of encounters. Chronic illnesses contributed to 21.7% of the visits. Approximately 54.0% were acute care encounters. Of all encounters, 17.3% had infectious disease potential as primarily gastrointestinal and respiratory syndromes. Evacuees accounted for 86% and staff 14% of all visits to the shelter clinic. There were 782 unduplicated individuals who sought services at the clinic, comprised of 63% (496) evacuees and 36% (278) staff members. Staff were more likely to frequent the clinic but for fewer visits each. ^ Conclusion. The presence of health care services and syndromic surveillance provided the opportunity to recognize, document and intervene in any disease outbreak at this long-term shelter. Constant vigilance allowed SAMHD to inform and reassure concerned people living and working in the shelter and living outside the shelter.^

Returning Texas Senate Bill 530 back to 1100 Congress Avenue: The need for effective surveillance reporting of student fitness levels to Texas house representatives

Every Texas student is required to complete the FITNESSGRAM fitness assessment under legislation outlined in Senate Bill 530. This study described cardiovascular, body mass index (BMI), and overall fitness levels of students (grades 3–12) in the state of Texas during the 2009–2010 school year, and provides examples of how to effectively present results to Texas House Representatives using three unique health communication strategies. Given the Texas legislature mandates FITNESSGRAM collection yet did not require reporting according to their election district, the data were aggregated to 150 Texas House Representative Districts by sex and grade category to facilitate effective fitness data dissemination. Fitness data were also analyzed with results from the Texas Assessment of Knowledge and Skills (TAKS) to provide insight into potential relationships between fitness and academic achievement. ^ The majority of students in Texas need improvement on at least 1 fitness assessment. In general, female students have superior fitness in elementary and middle school but the fitness edge is erased by high school. Female cardiovascular fitness deteriorates faster from elementary to high school compared to male students. Female BMI deteriorates and male BMI improves from elementary to high school. Cardiovascular fitness and overall fitness decreases from elementary to high school for both male and female students. ^ Student fitness was significantly and strongly independently correlated with academic achievement. Further analysis showed that House Representatives with TAKS scores in the top quartile consistently showed superior fitness. Small significant partial correlations remain between fitness and TAKS assessment after controlling for socioeconomic status. In general, correlations were stronger between female BMI and TAKS assessment compared to male students. Cardiovascular fitness was significantly correlated with TAKS assessment for both genders. This paper supports student fitness as a confounder in the relationship between socioeconomic status and academic achievement. Plus, student fitness has a strong correlation with academic that deserves further exploration. ^ Senate Bill 530 fails to organize and implement a health communication strategy that effectively disseminates the health data collected to stakeholders of interest. The lack of a vital health communication strategy results in an incomplete student health surveillance system. This paper outlines three unique strategies tailored to legislators. It is important to disseminate health information using a variety of methods tailored to your targeted audience. The use of interactive mapping technology presented (GIS) uses new technology that has the potential to effectively reach a large audience.^

Predictors of HIV testing among injection drug users

The current analysis examined the association of several demographic and behavioral variables with prior HIV testing within a population of injection drug users (IDUs) living in Harris County, Texas in 2005 (n=563). After completing the initial univariate analyses of all potential predictors, a multivariable model was created. This model was designed to guide future intervention efforts. Data used in this analysis were collected by the University of Texas School of Public Health in association with the Houston Department of Health and Human Services for the first IDU cycle of the National HIV Behavioral Surveillance System. About 76% of the IDUs reported previously being tested for HIV. Demographic variables that displayed a significant association with prior testing during the univariate analyses include age, race/ethnicity, birth outside the United States, education level, recent arrest, and current health insurance coverage. Several drug-related and sexual behaviors also demonstrated significant associations with prior testing, including age of first injection drug use, heroin use, methamphetamine use, source of needles or syringes, consistent use of new needles, recent visits to a shooting gallery or similar location, previous alcohol or drug treatment, condom use during their most recent sexual encounter, and having sexual partners who also used injection drugs. Additionally, the univariate analyses revealed that recent use of health or HIV prevention services was associated with previously testing for HIV. The final multivariable model included age, race/ethnicity, recent arrest, previous alcohol or drug treatment, and heroin use. ^

Contraceptive use in women by body mass index categories

The prevalence of obesity has increased sharply in the United States since the mid 1970's. Obese women who become pregnant are at increased risk of pregnancy complications for both mother and fetus. This study assessed whether women in higher body mass index (BMI) categories engage in the preventive behaviors of contraception more frequently than normal weight women. It also evaluated the type of contraception used by both obese and normal weight women. The study used cross-sectional data from 7 states participating in the Family Planning Module of the 2006 Behavioral Risk Factor Surveillance System (BRFSS). The Behavioral Risk Factor Surveillance System survey is an annual random digit dialed telephone survey of the non-institutionalized civilian population aged 18 years and older. The Family Planning Module was administered by Arizona, Kentucky, Minnesota, Missouri, Montana, Oregon, and Wisconsin. Of the 4,757 women who participated in the Family Planning Module, 2,244 (53.2%) were normal weight, 1,202 (25.6%) were overweight, and 1,072 (21.2%) were obese. The majority of these women 4,115 (86.2%) reported using some type of contraception to prevent pregnancy. Six hundred forty two women (13.8%) stated they did not use any type of contraception to prevent pregnancy. Within body mass index categories, 14% of normal weight women, 13% of overweight women, and 13.4% of obese women did not use any type of contraception. Neither the bivariate analysis nor the logistic regressions found body mass index categories to be statistically associated with contraceptive use. The relationship between body mass index categories and contraceptive method was found to be statistically significant. The predictive probability graph found that women at all levels of BMI have a lower probability of using barrier contraception methods as compared to procedural and hormonal methods. Hormonal contraception methods have the highest probability of use for women with a BMI of 15 to 25. In contrast, the probability of using procedural contraception methods is relatively flat and less than hormonal methods for BMI between 15 and 25. However, the probability of using procedural contraception increases dramatically with a BMI greater than 25. At a BMI greater than 42, women have a greater than 50% probability of using procedural contraception. Although a relationship between body mass index and contraception use was not found, contraception method was found to be associated with body mass index. The reasons why normal weight women prefer hormonal contraception while overweight/obese women are more likely to use procedural methods needs to be explored. By understanding the relationship between obesity and contraception, we can hopefully decrease unintended pregnancies and overall improve pregnancy related health outcomes. To determine if relationships between contraception use/type and body mass index exist, further research needs to be conducted on a national level. ^

Physical activity levels and access to places to be physically active

The built environment is recognized as having an impact on health and physical activity. Ecological theories of physical activity suggest that enhancing access to places to be physically active may increase activity levels. Studies show that users of fitness facilities are more likely to be active than inactive and active people are more likely to report access to fitness facilities. The purpose of this study was to examine the ecologic relationship between density of fitness facilities and self-reported levels of physical activity in adults in selected Metropolitan Statistical Areas (MSAs) in the United States.^ The 2007 MSA Business Patterns and the 2007 Behavioral Risk Factor Surveillance System (BRFSS) were used to gather fitness facility and physical activity data for 141 MSAs in the United States. Pearson correlations were performed between fitness facility density (number of facilities/100,000 people) and six summary measures of physical activity prevalence. Regional analysis was done using the nine U.S. Standard Regions for Temperature and Precipitation. ^ Direct correlations between fitness facility density and the percent of those physically active (r=0.27, 95% CI 0.11, 0.42, p=0.0012), those meeting moderate-intensity activity guidelines, (r=0.23, 95% CI 0.07, 0.38, p=0.006), and those meeting vigorous-intensity activity guidelines (r=0.30, 95% CI 0.14, 0.44, p=0.003) were found. An inverse correlation was found between fitness facility density and the percent of people physically inactive (r=-0.45, 95% CI -0.57, -0.31), p<0.0001). Regional analysis showed the same trends across most regions.^ Access to fitness facilities, defined here as fitness facility density, is related to physical activity levels. Results suggest the potential importance of the influence of the built environment on physical activity behaviors. Public health officials and city planners should consider the possible positive effect that increasing the number of fitness facilities in communities would have on activity levels.^

The economic cost of type 2 diabetes attributable to physical inactivity in the United States and Texas in 2007

Type 2 diabetes has grown to epidemic proportions in the U.S., and its prevalence has been steadily increasing in Texas. The physical activity levels in the population have remained low despite it being one of the primary preventive strategies for type 2 diabetes. The objectives of this study were to estimate the direct medical costs of type 2 diabetes attributable to not meeting physical activity Guidelines and to physical inactivity in the U.S. and Texas in 2007. This was a cross sectional study that used physical activity prevalence data from the 2007 Behavioral Risk Factor Surveillance System (BRFSS) to estimate the population attributable risk percentage (PAR%) for type 2 diabetes. These data were combined with the prevalence and cost data of type 2 diabetes to estimate the cost of type 2 diabetes attributable to not meeting Guidelines and to inactivity in the U.S. and Texas in 2007.^ The cost of type 2 diabetes in the U.S. in 2007, attributable to not meeting physical activity Guidelines was estimated to be $13.29 billion, and that attributable to physical inactivity (no leisure time physical activity) was estimated to be $3.32 billion. Depending on various assumptions, these estimates ranged from $7.61 billion to $41.48 billion for not meeting Guidelines, and $1.90 billion to $13.20 billion for physical inactivity in the U.S. in 2007. The cost of type 2 diabetes in Texas in 2007 attributable to not meeting physical activity Guidelines was estimated to be $1.15 billion, and that attributable to physical inactivity (no leisure time physical activity) was estimated to be $325 million. Depending on various assumptions, these estimates ranged from $800 million to $3.47 billion for not meeting Guidelines, and $186 million to $1.28 billion for physical inactivity in Texas in 2007. These results illustrate how much money could be saved annually just in terms of type 2 diabetes cost in the U.S. and Texas, if the entire adult population was active enough to meet physical activity Guidelines. Physical activity promotion, particularly at the environmental and policy level should be a priority in the population. ^

Health disparities between the United States mainland and Puerto Rico, Guam, and the United States Virgin Islands (United States territories)

Health disparities have been documented for the United States mainland. No literature was found comparing the mainland population to that of Puerto Rico, Guam, and the United States Virgin Islands (United States territories). Using Healthy Lifestyle Characteristics of non-smoking, maintaining a healthy weight, consuming fruits/vegetables daily, and exercising regularly, the health of the mainland was compared to United States territories. The research questions were: (1) Among the characteristics, what are similarities/differences between citizens of the mainland United States and territories?, (2) Among the characteristics, what are similarities/differences in how the territories compare to each other?, (3) Does the mainland and the territories meet Healthy People 2010 goals for these characteristics?, (4) Are perceptions of health concordant or discordant with the characteristics for mainlanders and Puerto Ricans? ^ Using 2007 data from Behavioral Risk Factor Surveillance System (BRFSS), frequency distributions were compared for the Healthy Lifestyle Characteristics for the mainland territories. Research found smoking rates on Guam were statistically greater than the mainland, Puerto Rico or the Virgin Islands. Healthy body mass index levels and physical activity rates were better on Guam compared to other locations. Puerto Rico had significantly more overweight and obese persons, lower fruit/vegetable consumption rates, and lower physical activity rates than the mainland, Guam and the Virgin Islands. Research found mainlanders reported statistically greater participation in regular physical activity than did Puerto Ricans and Virgin Islanders; there were significant differences in fruit/vegetable consumption rates compared to both. The research found no locations met all four of Healthy People 2010 goals. Compared to mainlanders, research showed Puerto Ricans perceive their health significantly worse.^ A better understanding is needed for how United States citizens (mainlanders and territory residents) view participation in healthy behaviors and how health is affected by participating or not in healthy behaviors. For the year examined, Healthy People 2010 goals were not achieved. This study demonstrates Puerto Ricans’ health, using the four characteristics, is significantly worse than residents in the other locations. Public health programs targeting Puerto Ricans are warranted. Finally, this study highlights the need for continued research on the relationships among the mainland and territories.^

Factors associated with needle sharing among Black male injection drug users in Harris County, Texas

Background. Injection drug users (IDUs) are at increased risk for HIV transmission due to unique risk behaviors, such as sharing needles. In Houston, IDUs account for 18% of all HIV/AIDS cases among Black males. ^ Objectives. This analysis compared demographic, behavioral, and psychosocial characteristics of needle sharing and non-sharing IDUs in a population of Black males in Harris County, Texas. ^ Methods. Data used for this analysis were from the second IDU cycle of the National HIV Behavioral Surveillance System. This dataset included a sample of 288 Black male IDUs. Univariate and multivariate statistical analysis were performed to determine statistically significant associations of needle sharing in this population and to create a functional model to inform local HIV prevention programs. ^ Results. Half of the participants in this analysis shared needles in the past 12 months. Compared to non-sharers, sharers were more likely to be homeless (OR=3.70, p<0.01) or arrested in the past year (OR=2.31, p<0.01), inject cocaine (OR=2.07, p<0.01), report male-to-male sex in the past year (OR=6.97, p<0.01), and to exchange sex for money or drugs. Sharers were less likely than non-sharers to graduate high school (OR=0.36, p<0.01), earn $5,000 or more a year (OR=1.15, p=0.05), get needles from a medical source (OR=0.59, p=0.03), and ever test for HIV (OR=0.17, p<0.01). Sharers were more likely to report depressive symptoms (OR=3.49, p<0.01), lower scores on the family support scale (mean difference 0.41, p=0.01) and decision-making confidence scale (mean difference 0.38, p<0.01), and greater risk-taking (mean difference -0.49, p<0.01) than non-sharers. In a multivariable logistic regression, sharers were less likely to have graduated high school (OR=0.33, p<0.01) and have been tested for HIV (OR=0.12, p<0.01) and were more likely to have been arrested in the past year (OR=2.3, p<0.01), get needles from a street source (OR=3.87, p<0.01), report male-to-male sex (OR=7.01, p<0.01), and have depressive symptoms (OR=2.36, p=0.02) and increased risk-taking (OR=1.78, p=0.01). ^ Conclusions. IDUs that shared needles are different from those that did not, reporting lower socioeconomic status, increased sexual and risk behaviors, increased depressive symptoms and increased risk-taking. These findings suggest that intervention programs that also address these demographic, behavioral, and psychosocial factors may be more successful in decreasing needle sharing among this population.^

HPV vaccine coverage in Texas counties: An application of multilevel, small area estimation

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.^

Investigating the effects of the 2007 Texas tobacco tax increase on the smoking behavior of adults

Smoking is major cause of premature mortality and morbidity in the United States. The health consequences of tobacco usage are increasingly concentrated in minority and lower socioeconomic groups. One of the most effective means of deterring tobacco consumption and generating revenue to fund prevention activities is the levying of excise taxes. In 2007 the state of Texas increased the excise tax on cigarettes by $1.00 per pack. This study sought to determine if there was a significant effect on smoking prevalence in the state by examining Behavioral Risk Factor Surveillance System (BRFSS) data for two years leading up to the tax increase-2005 and 2006- and two years post tax increase -2007 and 2008. Results were compared against a chi square distribution and three multiple logistic regression models were created to adjust for race/ethnicity, age, education and income. Results from this study show that there was not a significant decrease in smoking prevalence for most of the groups stratified by age, income and ethnicity. There was not a significant decrease in the younger adults aged 18-34 by income, ethnicity, or education. Smoking prevalence increased for some groups, e.g., Hispanic females. In the regression models, the tax effect was not significant. While overall prevalence decreased by 9%, there were not significant reductions among non-White or Hispanic survey participants. Taxed sales dropped by approximately 17% according to the Texas Comptroller. Without BRFSS data measuring daily cigarette consumption among current smokers, now not assessed, it is impossible to determine whether the discrepancy in reported prevalence and taxes sales is attributable to consumption of fewer cigarettes among smokers or tax avoidance.^

Seasonality of respiratory syncytial virus infection in Texas

Respiratory syncytial virus (RSV) is a common cause of respiratory infection in infants and children that can result in bronchiolitis or pneumonia. Each year in the United States, it causes up to 400 deaths and 125,000 hospitalizations among children less than one year of age. RSV is transmitted by direct or close contact with contaminated secretions, which may involve droplets and fomites. Monthly administration of a monoclonal RSV antibody, palivizumab (Synagis™, MedImmune, Gaithersburg, MD), in premature infants, infants with chronic lung disease, or congenital heart disease has been shown to significantly reduce the risk of severe RSV infection. The Centers for Disease Control and Prevention's (CDC) National Respiratory and Enteric Virus Surveillance System (NREVSS) is a laboratory based passive reporting system that collects state, regional, and national RSV data. The CDC defines the RSV season onset as “the first of 2 consecutive weeks during which the mean percentage of specimens testing positive for RSV antigen is 10%.” RSV season offset is defined as the last of 2 consecutive weeks during which the percentage of positive specimens is less than or equal to 10%. Annual RSV epidemics generally occur during the winter and early spring months, but the RSV season is known to vary by national regions. Precise delineation of the RSV epidemiology by region could maximize protection from RSV and minimize the cost of RSV immune prophylaxis. ^ The purpose of this thesis is to define the RSV season in Texas over time; compare the RSV season of the state of Texas and its regions with the national norms; and to compare RSV seasonality between the various regions in Texas. ^ This study was a retrospective analysis of data reported to NREVSS to evaluate potential disparities in the onset weeks, offset weeks, and duration of the annual RSV season in Texas. Data were collected from 70 reporting sites, and includes information from the 2004–2005 to 2009–2010 RSV seasons. ^ The observed median onset (week 44) and offset week (week 8) for the Texas were consistent with national estimates for the South. Regional estimates and statistical analysis suggested that the RSV season in Texas would be better represented by regions. Regional seasonal comparisons revealed considerable variation in season offset and duration between many of the geographic regions within Texas. This trend should be studied further.^

Using spatial linear models with SAR and CAR structure to examine Texas lung cancer incidence rates

Scholars have found that socioeconomic status was one of the key factors that influenced early-stage lung cancer incidence rates in a variety of regions. This thesis examined the association between median household income and lung cancer incidence rates in Texas counties. A total of 254 individual counties in Texas with corresponding lung cancer incidence rates from 2004 to 2008 and median household incomes in 2006 were collected from the National Cancer Institute Surveillance System. A simple linear model and spatial linear models with two structures, Simultaneous Autoregressive Structure (SAR) and Conditional Autoregressive Structure (CAR), were used to link median household income and lung cancer incidence rates in Texas. The residuals of the spatial linear models were analyzed with Moran's I and Geary's C statistics, and the statistical results were used to detect similar lung cancer incidence rate clusters and disease patterns in Texas.^