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David J Thurman

Publications and source records attributed to David J Thurman.

8 recordsLinked to original sources

Developing a computer algorithm to identify epilepsy cases in managed care organizations.

The goal of this study was to develop an algorithm for detecting epilepsy cases in managed care organizations (MCOs). A data set of potential epilepsy cases was constructed from an MCO's administrative data system for all health plan members continuously enrolled in the MCO for at least 1 year within the study period of July 1, 1996 through June 30, 1998. Epilepsy status was determined using medical record review for a sample of 617 cases. The best algorithm for detecting epilepsy cases was developed by examining combinations of diagnosis, diagnostic procedures, and medication use. The best algorithm derived in the exploratory phase was then applied to a new set of data from the same MCO covering the period of July 1, 1998 through June 30, 2000. A stratified sample based on ethnicity and age was drawn from the preliminary algorithm-identified epilepsy cases and non-cases. Medical record review was completed for 644 cases to determine the accuracy of the algorithm. Data from both phases were combined to permit refinement of logistic regression models and to provide more stable estimates of the parameters. The best model used diagnoses and antiepileptic drugs as predictors and had a positive predictive value of 84% (sensitivity 82%, specificity 94%). The best model correctly classified 90% of the cases. A stable algorithm that can be used to identify epilepsy patients within MCOs was developed. Implications for use of the algorithm in other health care settings are discussed.

Adult↗

Estimating prevalence, incidence, and disease-related mortality for patients with epilepsy in managed care organizations.

PURPOSE: The purpose of the present study was to apply computer algorithms to an administrative data set to identify the prevalence of epilepsy, incidence of epilepsy, and epilepsy-related mortality of patients in a managed care organization (MCO). METHODS: The study population consisted of members enrolled in Lovelace Health Plan, a component of Lovelace Health Systems, a statewide MCO headquartered in Albuquerque, New Mexico. Patient records were obtained from July 1996 to June 2001. Four logistic regression models with high sensitivity and specificity were applied to 1-, 3-, and 5-year time frames in which members were continuously enrolled in the MCO. Incidence was defined for patients who did not have an epilepsy-associated code in the 18 months before the first diagnosis entry. Mortality estimates in the population also were assessed by using a matched control group and linkage to a statewide death registry. RESULTS: The data yielded estimated prevalence rates of 7-10 per 1,000, depending on age, sex, ethnicity, and time interval. Annualized incidence was 47 per 100,000 for members continuously enrolled for 3 years and 71 per 100,000 for members continuously enrolled for 5 years. Crude mortality rates were 2-2.5 times higher for epilepsy patients identified with the algorithms than for the matched controls. Conditional logistic regression indicated that the odds of death for epilepsy patients as compared with controls ranged from 1.24 to 2.06. CONCLUSIONS: Accurate estimation of prevalence, incidence, and mortality rates for epilepsy is an essential component of disease management in MCOs. The algorithms in this project can be used to monitor trends in prevalence, incidence, and mortality to inform decisions critical to improving the health care needs and quality of life for patients with epilepsy.

Adult↗

Psychological distress, comorbidities, and health behaviors among U.S. adults with seizures: results from the 2002 National Health Interview Survey.

PURPOSE: To examine the association of seizures with health-related quality of life (HRQOL), physical and psychiatric comorbidities, and health behaviors. METHODS: We analyzed data obtained from adults aged 18 years or older (n = 30,445) who participated in the 2002 National Health Interview Survey, an ongoing, computer-assisted personal interview of the noninstitutionalized U.S. population. RESULTS: An estimated 1.4% of adults 18 years or older reported being told by a health care professional that they had seizures. Persons with seizures were significantly more likely than those without seizures to report lower levels of education, higher levels of unemployment, pain, hypersomnia and insomnia, and psychological distress (e.g., feelings of sadness, nervousness, hopelessness, and worthlessness). In addition, they were significantly more likely to report insufficient leisure-time physical activity as well as physical comorbidities such as cancer, arthritis, heart disease, stroke, asthma, severe headaches, lower back pain, and neck pain. CONCLUSIONS: Our findings suggest that it is advisable for health care professionals to assess psychiatric and physical comorbidities among patients with a history of seizures potentially to improve patient health outcomes. Furthermore, public health surveillance systems should include questions on seizures, epilepsy, and mental health to better examine associations among these disorders and to better identify populations meriting further assessment and intervention.

Adolescent↗

Prevalence of epilepsy and health status of adults with epilepsy in Georgia and Tennessee: Behavioral Risk Factor Surveillance System, 2002.

Behavioral risk factors associated with comorbidity in people with epilepsy are largely unknown. We studied a population-based sample of 8057 adults through the 2002 Behavioral Risk Factor Surveillance System, in Georgia and Tennessee, ascertaining a lifetime epilepsy prevalence of 2.1% in this population. This structured interview revealed that those with epilepsy had significantly worse self-reported fair or poor health status (39% vs 17% in adults without epilepsy), significantly greater cigarette smoking (38.8% vs 24.9% in other adults), and high rates of obesity (34.1% vs 23.7% in adults without epilepsy). Large percentages of adults with epilepsy reported currently symptomatic asthma and recent joint pain. Adults with epilepsy had lower educational attainment and lower household incomes, but a higher rate of medical insurance coverage, than did other adults. This type of population-based survey can serve to identify health disparities, behavioral risk factors for other chronic diseases, and unmet health care needs in individuals with epilepsy, and to track changes in these measures over time.

Adolescent↗

Developing a measure to assess attitudes toward epilepsy in the US population.

The aim of this study was to develop an instrument to measure the US public's attitudes toward people with epilepsy and to assess the initial reliability and validity of the instrument. A 46-item attitudinal instrument was developed and tested using a proportional, stratified, national, random-digit dial household telephone survey of adults aged > or = 18 (n=758). Exploratory factor analyses revealed four underlying constructs that accounted for 34.4% of the variance in the factor analysis: negative stereotypes (alpha=0.73); risk and safety concerns (alpha=0.85); work and role expectations (alpha=0.76); and personal fear and social avoidance (alpha=0.79). Knowledge was also assessed; participants with less knowledge about epilepsy had more negative attitudes. The results of these analyses provided evidence for reliability and construct validity of the instrument. Additional tests of the reliability, validity, and factor structure of the scales are necessary to refine the instrument.

Analysis of Variance↗

Traumatic brain injury-related hospital discharges. Results from a 14-state surveillance system, 1997.

PROBLEM/CONDITION: Previous studies indicate that each year in the United States, approximately 1.5 million Americans sustain a traumatic brain injury (TBI). Of those injured, approximately one quarter million are hospitalized. Approximately one third of adults hospitalized with TBI still need help with daily activities 1 year after their discharge. REPORTING PERIOD: This report summarizes surveillance data for TBI in the United States for January-December 1997. DESCRIPTION OF THE SYSTEM: Data are from 14 states that participated in an ongoing CDC-funded TBI surveillance system. State health departments used CDC guidelines to identify TBI cases from hospital discharge data or from other statewide injury data systems. Supplementary information was abstracted from medical records. RESULTS: The overall age-adjusted TBI-related live hospital discharge rate was 69.7/100,000 population. Rates were highest for American Indians and Alaska Natives (75.3/100,000) and Blacks (74.4/100,000). The age-adjusted rate for males was approximately twice as high as for females (91.9 versus 47.7/100,000 respectively). For both sexes, the rates were highest among those aged 15-19 years and >/= 65 years. Motor-vehicle crashes, falls, and assaults were the leading causes of injury for TBI-related discharges (27.9, 22.5, and 7.3/100,000 respectively). TBI-related discharge rates for falls were highest among those aged >/= 65 years (82.3/100,000). Black males and American Indian/Alaska Native males had the highest rates of TBI attributable to assault (31.3 and 29.5 per 100,000, respectively), approximately 4 times the rate for white males. An estimated 46% of injured motor-vehicle occupants, 53% of motorcyclists, and 41% of pedal cyclists reportedly were not using personal protective equipment (PPE) (e.g., seat belts or helmets) at the time of their TBI. With regard to outcome assessed before discharge from the hospital, approximately 17% of persons hospitalized with TBI had moderate to severe disability. INTERPRETATION: Data in this report, the most extensive to date from a multistate population-based TBI surveillance system, indicate the importance of TBI as a public health problem. Population-based information regarding TBI hospitalizations can be useful in assessing the effect of prevention efforts and planning for the service needs of persons with TBI.

Adolescent↗

Surveillance for traumatic brain injury deaths--United States, 1989-1998.

PROBLEM/CONDITION: Data indicate that approximately 50,000 U.S. residents die as a result of traumatic brain injury (TBI) annually. Survivors of TBI are often left with neuropsychologic impairments that result in disabilities affecting work or social activity. During 1979-1992, TBI-related death rates declined 22%, from 24.6 to 19.3 deaths/100,000 population. This report describes the epidemiology and trends in TBI-related mortality during 1989-1998. REPORTING PERIOD: January 1, 1989-December 31, 1998. DESCRIPTION OF SYSTEMS: The National Center for Health Statistics (NCHS) Multiple Cause of Death public use data were analyzed for this study. RESULTS: During 1989-1998, an annual average of 53,288 deaths (range: 51,848-54,501) among U.S. residents were associated with TBI. TBI-related death rates declined 11.4%, from 21.9 to 19.4/100,000 population. The major causes of TBI-related deaths were firearm-related (40%), motor-vehicle-related (34%), and fall-related (10%). The leading causes of TBI-related deaths differed among age groups. Among youths aged 0-19 years, motor-vehicle-related TBIs were the leading cause; among persons aged 20-74 years, firearm-related TBIs were the leading cause; and among persons aged > or = 75 years, fall-related TBIs were the leading cause. Comparing rates in 1989 with rates in 1998, motor-vehicle-related causes declined by 22%; the majority of this decline occurred during the first 5 years of the period. During 1989-1998, firearm-related TBI-related deaths declined by 14%; approximately all of this decline occurred during the last 5 years of the period. In contrast, fall-related TBI-related death rates increased by 25% during the period. CONCLUSION: This analysis of mortality data identifies recent trends in TBI-related deaths occurring during 1989-1998. Fall-related TBI death rates have increased throughout the period. Firearm-related TBI death rates, which were increasing in the early 1990s, declined. Motor-vehicle-related TBI death rates, which were decreasing until the mid-1990s, have since demonstrated only a limited change. PUBLIC HEALTH ACTION: More current population-based epidemiologic studies of TBI are needed to assess recent trends of etiologic factors, provide additional guidance for public policy, and evaluate prevention strategies. Despite the decline in fatal TBI incidence, TBI morbidity and mortality remains a public health challenge. Public health, law enforcement, and transportation safety professionals can address these challenges by implementing effective interventions based on a thorough assessment of the factors that influence health-related behaviors.

Accidental Falls↗

Estimating nonfatal traumatic brain injury hospitalizations using an urban/rural index.

OBJECTIVE: To develop state-level estimates of the annual number of nonfatal cases of traumatic brain injury (TBI) resulting in hospitalization. METHODS: The estimation process incorporates annual nonfatal TBI hospitalization case counts from 15 states funded by the Centers for Disease Control and Prevention to conduct TBI surveillance; annual fatal TBI case counts based on National Center for Health Statistics data for all 50 states; and an index reflecting the urban/rural character of each state. These data are used to develop a negative binomial regression model that yields estimates of the annual number of nonfatal TBI hospitalization cases for each state not funded to conduct TBI surveillance. RESULTS: Sensitivity analysis suggests that on average the estimates fall within +/- 15% of the case counts that would be obtained directly from surveillance. CONCLUSION: In combination, the TBI case count data and the urban/rural index support effective modeling and estimation of annual nonfatal TBI hospitalization case counts at the state level.

Accidents, Traffic↗