A process evaluation of the childhood lead poisoning prevention program in Houston, Texas, 1992--1995

A process evaluation of the Houston Childhood Lead Poisoning Prevention Program, 1992-1995, was conducted. The Program's goal is to reduce lead poisoning prevalence. The study proposed to determine to what extent the Program was implemented as planned by measuring how well Program services were actually: (1) received by the intended target population; (2) delivered to children with elevated blood lead levels; (3) delivered in compliance with the Centers for Disease Control and Prevention and Program guidelines and timetables; and (4) able to reduce lead poisoning prevalence among those rescreened. Utilizing a program monitoring design, the Program's pre-collected computer records were reviewed. The study sample consisted of 820 children whose blood lead levels were above 15 micrograms per deciLiter, representing approximately 2.9% of the 28,406 screened over this period. Three blood lead levels from each participant were examined: the initial elevated result; the confirmatory result; and the next rescreen result, after the elevated confirmatory level. Results showed that the Program screened approximately 18% (28,406 of 161,569) of Houston's children under age 6 years for lead poisoning. Based on Chi-square tests of significance, results also showed that lead-poisoned participants were more likely to be younger than 3 years, male and Hispanic, compared to those not lead poisoned. The age, gender and ethnic differences observed were statistically significant (p =.01, p =.00, p =.00). Four of the six Program services: medical evaluations, rescreening, environmental inspections and confirmation, had satisfactory delivery completion rates of 71%-98%. Delivery timetable compliance rates for three of the six services examined: outreach contacts, home visits and environmental inspections were below 32%. However, dangerously elevated blood lead levels fell and lead poisoning prevalence dropped from 3.3% at initial screening to 1.2% among those rescreened, after intervention. From a public health perspective, reductions in lead poisoning prevalence are very meaningful. Based on these findings, the following are recommendations for future research: (1) integrate Program database files by utilizing a computer database management program; (2) target services at Hispanic male children under age 3 years living in the highest risk neighborhoods; (3) increase resources to: improve tracking and documentation of service delivery and provide more non-medical case management and environmental services; and (4) share the evaluation methodology/findings with the Centers for Disease Control and Prevention administrators; the implications may be relevant to other program managers conducting such assessments. ^

Predictors of weight stability in women and men: The aerobic center longitudinal study, 1987--1995

It is estimated that more than half the U.S. adult population is overweight or obese as classified by a body mass index of 25.0–29.9 or ≥30 kg/m 2, respectively. Since the current treatment approaches for long-term maintenance of weight loss are lacking, the National Institutes of Health state that an effective approach may be to focus on weight gain prevention. There is a limited body of literature describing how adults maintain a stable weight as they age. It is hypothesized that weight stability is the result of a balance between energy consumption and energy expenditure as influenced by diet, lifestyle, behavior, genetics and environment. The purpose of this research was to examine the dietary intake and behaviors, lifestyle habits, and risk factors for weight change that predict weight stability in a cohort of 2101 men and 389 women aged 20 to 8 7 years in the Aerobic Center Longitudinal Study regardless of body weight at baseline. At baseline, participants completed a maximal exercise treadmill test to determine cardiorespiratory fitness, a medical history questionnaire, which included self-reported measures of weight, dietary behaviors, lifestyle habits, and risk factors for weight change, a three-day diet record, and a mail-back version of the medical history questionnaire in 1990 or 1995. All analyses were performed separately for men and women. Results from multivariate regression analyses indicated that the strongest predictor of follow-up weight for men and women was previous weight, accounting for 87.0% and 81.9% of the variance, respectively. Age, length of follow-up and eating habits were also significant predictors of follow-up weight in men, though these variables only explained 3% of the variance. For women, length of follow-up and currently being on a diet were significantly associated with follow-up weight but these variables explained only an additional 2% of the variance. Understanding the factors that influence weight change has tremendous public health importance for developing effective methods to prevent weight gain. Since current weight was the strongest predictor of previous weight, preventing initial weight gain by maintaining a stable weight may be the most effective method to combat the increasing prevalence of overweight and obesity. ^

Factors associated with diabetes in tuberculosis patients in Harris County, Texas 1995--2004

Objective. To determine the prevalence and factors associated with diabetes in tuberculosis patients in Harris County, Texas. ^ Background. Tuberculosis and diabetes mellitus are two diseases of immense public health significance. Various epidemiologic studies have established an association between the two conditions. While many studies have identified factors associated with the conditions individually, few have looked at factors associated with their co-occurrence particularly in the United States. Furthermore, most of those studies are hospital-based and may not be representative of the population. The aim of this study was to determine the prevalence and distribution of diabetes among tuberculosis patients in Harris County, Texas and to identify the factors associated with diabetes in tuberculosis. ^ Methods. A population-based case control study was performed using secondary data from the Houston Tuberculosis Initiative (HTI) collected from October 1995 to September 2004. Socio-demographic characteristics and clinical variables were compared between tuberculosis patients with diabetes and non-diabetic tuberculosis patients. Logistic regression analysis was performed to identify associations. Survival at 180 days post tuberculosis diagnosis was assessed by Cox regression. ^ Results. The prevalence of diabetes among the tuberculosis (TB) population was 14.4%. The diabetics (cases) with a mean age 53 ± 13.3 years were older than the non-diabetics (controls) with a mean age of 39 ± 18.5 years (p<0.001). Socio-demographic variables that were independently associated with the risk of diabetes were age (OR 1.04, p<0.001) and Hispanic ethnicity (OR 2.04, p<0.001). Diabetes was associated with an increased risk of pulmonary tuberculosis disease (OR 1.33, p<0.028). Among individuals with pulmonary TB, diabetes was associated with positive sputum acid-fast bacilli (AFB) smear (OR 1.47, p<0.005) and culture (OR 1.83, p<0.018). Diabetics were more likely to have cavitary lung disease than non-diabetics (OR 1.50, p<0.002). After adjustment for age and HIV status, the risk of dying within 180 days of TB diagnosis was significantly increased in the diabetics (HR 1.51, p<0.002). ^ Conclusion. Diabetes mellitus was more prevalent in our tuberculosis patients than in the general population. The tuberculous diabetic may be more infectious and has a higher risk of death. It is therefore imperative to screen diabetics for TB and TB patients for diabetes. ^

The impact of 1995--1996 health sector reforms in the effectiveness of malaria control program in the state of Orissa, India

Malaria poses a significant public health problem worldwide. The World Health Organization indicates that approximately 40% of the world's population and almost 85% of the population from the South–East Asian region is at risk of contracting malaria. India being the most populous country in the region, contributes the highest number of malaria cases and deaths attributed to malaria. Orissa is the state that has the highest number of malaria cases and deaths attributable to malaria. A secondary data analysis was carried out to evaluate the effectiveness of the World bank-assisted Malaria Action Program in the state of Orissa under the health sector reforms of 1995-96. The secondary analysis utilized the government of India's National Anti Malaria Management Information System's (NAMMIS) surveillance data and the National Family Health Survey (NFHS–I and NFHS–II) datasets to compare the malaria mortality and morbidity in the state between 1992-93 and 1998-99. Results revealed no effect of the intervention and indicated an increase of 2.18 times in malaria mortality between 1992-1999 and an increase of 1.53 times in malaria morbidity between 1992-93 and 1998-99 in the state. The difference in the age-adjusted malaria morbidity in the state between the time periods of 1992-93 and 1998-99 proved to be highly significant (t = 4.29 df=16, p<. 0005) whereas the difference between the increase of age-adjusted malaria morbidity during 1992-93 and 1998-99 between Orissa (with intervention) and Bihar (no intervention) proved to be non significant (t=.0471 df=16, p<.50). Factors such as underutilization of World Bank funds for the malaria control program, inadequate health care infrastructure, structural adjustment problems, poor management, poor financial management, parasite resistance to anti-malarial drugs, inadequate supply of drugs and staff shortages may have contributed to the failure of the program in the state.^

Estimates of hospital and physician costs of epilepsy in the United States for 1995 comparing the provider -based survey method and a patient -based medical charts and billing method

This investigation compares two different methodologies for calculating the national cost of epilepsy: provider-based survey method (PBSM) and the patient-based medical charts and billing method (PBMC&BM). The PBSM uses the National Hospital Discharge Survey (NHDS), the National Hospital Ambulatory Medical Care Survey (NHAMCS) and the National Ambulatory Medical Care Survey (NAMCS) as the sources of utilization. The PBMC&BM uses patient data, charts and billings, to determine utilization rates for specific components of hospital, physician and drug prescriptions. ^ The 1995 hospital and physician cost of epilepsy is estimated to be $722 million using the PBSM and $1,058 million using the PBMC&BM. The difference of $336 million results from $136 million difference in utilization and $200 million difference in unit cost. ^ Utilization. The utilization difference of $136 million is composed of an inpatient variation of $129 million, $100 million hospital and $29 million physician, and an ambulatory variation of $7 million. The $100 million hospital variance is attributed to inclusion of febrile seizures in the PBSM, $−79 million, and the exclusion of admissions attributed to epilepsy, $179 million. The former suggests that the diagnostic codes used in the NHDS may not properly match the current definition of epilepsy as used in the PBMC&BM. The latter suggests NHDS errors in the attribution of an admission to the principal diagnosis. ^ The $29 million variance in inpatient physician utilization is the result of different per-day-of-care physician visit rates, 1.3 for the PBMC&BM versus 1.0 for the PBSM. The absence of visit frequency measures in the NHDS affects the internal validity of the PBSM estimate and requires the investigator to make conservative assumptions. ^ The remaining ambulatory resource utilization variance is $7 million. Of this amount, $22 million is the result of an underestimate of ancillaries in the NHAMCS and NAMCS extrapolations using the patient visit weight. ^ Unit cost. The resource cost variation is $200 million, inpatient is $22 million and ambulatory is $178 million. The inpatient variation of $22 million is composed of $19 million in hospital per day rates, due to a higher cost per day in the PBMC&BM, and $3 million in physician visit rates, due to a higher cost per visit in the PBMC&BM. ^ The ambulatory cost variance is $178 million, composed of higher per-physician-visit costs of $97 million and higher per-ancillary costs of $81 million. Both are attributed to the PBMC&BM's precise identification of resource utilization that permits accurate valuation. ^ Conclusion. Both methods have specific limitations. The PBSM strengths are its sample designs that lead to nationally representative estimates and permit statistical point and confidence interval estimation for the nation for certain variables under investigation. However, the findings of this investigation suggest the internal validity of the estimates derived is questionable and important additional information required to precisely estimate the cost of an illness is absent. ^ The PBMC&BM is a superior method in identifying resources utilized in the physician encounter with the patient permitting more accurate valuation. However, the PBMC&BM does not have the statistical reliability of the PBSM; it relies on synthesized national prevalence estimates to extrapolate a national cost estimate. While precision is important, the ability to generalize to the nation may be limited due to the small number of patients that are followed. ^