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PubMed2006

U.S. congressional district cancer death rates.

BACKGROUND: Geographic patterns of cancer death rates in the U.S. have customarily been presented by county or aggregated into state economic or health service areas. Herein, we present the geographic patterns of cancer death rates in the U.S. by congressional district. Many congressional districts do not follow state or county boundaries. However, counties are the smallest geographical units for which death rates are available. Thus, a method based on the hierarchical relationship of census geographic units was developed to estimate age-adjusted death rates for congressional districts using data obtained at county level. These rates may be useful in communicating to legislators and policy makers about the cancer burden and potential impact of cancer control in their jurisdictions. RESULTS: Mortality data were obtained from the National Center for Health Statistics (NCHS) for 1990-2001 for 50 states, the District of Columbia, and all counties. We computed annual average age-adjusted death rates for all cancer sites combined, the four major cancers (lung and bronchus, prostate, female breast, and colorectal cancer) and cervical cancer. Cancer death rates varied widely across congressional districts for all cancer sites combined, for the four major cancers, and for cervical cancer. When examined at the national level, broad patterns of mortality by sex, race and region were generally similar with those previously observed based on county and state economic area. CONCLUSION: We developed a method to generate cancer death rates by congressional district using county-level mortality data. Characterizing the cancer burden by congressional district may be useful in promoting cancer control and prevention programs, and persuading legislators to enact new cancer control programs and/or strengthening existing ones. The method can be applied to state legislative districts and other analyses that involve data aggregation from different geographic units.

Age Distribution↗
PubMed1997

Patient density, nurse-to-patient ratio and nosocomial infection risk in a pediatric cardiac intensive care unit.

BACKGROUND: An investigation of a Serratia marcescens outbreak in a pediatric cardiac intensive care unit (CICU) suggested that understaffing or overcrowding might have been underlying risk factors. OBJECTIVE: To assess the effect of fluctuations in CICU nurse staffing levels and patient census on CICU nosocomial infection rate (NIR). METHODS: The monthly CICU nursing hours, patient days and nosocomial infections were obtained from retrospective review of administrative, patient and microbiology records during December, 1994, through December, 1995 (study period). The NIR and nursing hours:patient day ratio were then calculated. The correlations between NIR vs. nursing hours, patient days and nursing hours:patient day ratio were determined. RESULTS: The median monthly CICU NIR was 6.9 (range, 0 to 15.2) infections per 1000 patient days; the median number of hours worked per month by CICU registered nurses was 7754 (range, 7133 to 8452) hours; the median number of patient days treated per month was 507 (range, 381 to 590) patient days; and the median monthly nursing hours:patient day ratio was 15.2:1 (range, 13.2:1 to 19.9:1). The strongest linear correlation was observed between the monthly NIR and patient days (r = 0.89, P = 0.0001). There was an inverse correlation between the monthly NIR and nursing hours:patient day ratio (r = -0.77, P = 0.003). CONCLUSIONS: The NIR was most strongly correlated with patient census but also was strongly associated with the nursing hours:patient day ratio. These factors may influence the infection rate because of breaks in health care worker aseptic technique or decreased hand washing. Increased patient census alone may increase the risk of cross-transmission of nosocomial infections. As hospitals proceed with cost containment efforts the effect of fluctuations in patient census and nurse staffing on patient outcomes needs evaluation.

Child↗
PubMedDate not supplied

[Mortality and socioeconomic deprivation in the census tracts and districts of Barcelona].

OBJECTIVES: To analyze the association between socioeconomic deprivation and mortality in the census tracts of Barcelona and the distinct patterns of this association in the districts. METHODS: We performed an ecological, cross sectional study based on the 1,812 census tracts and the 10 districts of Barcelona, using socioeconomic variables obtained from the 1991 census and mortality data for 1987-1995. A deprivation index was created through component analysis. Descriptive analyses were performed and multivariate Poisson regression models were adjusted. RESULTS: The greater the socioeconomic deprivation in the census tracts, the higher the mortality. The quartile with the greatest deprivation had a relative risk (RR) of mortality of 1.24 (95% confidence interval [CI], 1.22-1.27) in males and an RR of 1.05 (95% CI, 1.02-1.07) in females (compared with the quartile of census tracts with the lowest deprivation). This association varied according to district: in the old inner-city district (district 1), which had the highest mortality and the greatest deprivation, the RR was 1.57 (95% CI, 1.21-2.05) for males, while in district 8, which also has considerable deprivation, mortality was lower. CONCLUSIONS: Analysis of socioeconomic inequalities in mortality in census tracts in an urban area highlights special areas of risk not observed in analysis of districts.

Adolescent↗
PubMedDate not supplied

Computing population-based estimates of health-adjusted life expectancy.

Observed health-adjusted life expectancy (HALE) is an indicator of population health. There are a number of ways to compute HALE for a community. The authors surveyed several methods and demonstrate resulting variation in the estimates of HALE. Quality of well-being (QWB) measures from 1,430 participants in the Beaver Dam Health Outcomes Study are taken as weights. Actuarial life-table methods using community mortality data, State of Wisconsin census data from two time frames, and U.S. census data are used with the QWB to estimate HALE. Measurement of community population health using HALE computations can be completed with national, regional, or local data. Community-level estimates may not be well approximated using large-scale mortality experience. A Bayesian method is developed combining the local data with regional data. The Bayesian method creates a smooth set of rates, retains the local flavor of the community, and gives a measure of variability of the estimated HALE.

Actuarial Analysis↗
PubMed1999

High school athletic participation, sexual behavior and adolescent pregnancy: a regional study.

PURPOSE: To determine whether high school athletic participation among adolescents in Western New York was associated with reduced rates of sexual behavior and pregnancy involvement. METHODS: A secondary analysis of data from the Family and Adolescent Study, a longitudinal study of a random sample of adolescents (ages 13-16 years) from 699 families living in households in Western New York. A general population sample was obtained with characteristics closely matching the census distributions in the area. Interview and survey methods provided data on athletic participation, frequency of sexual relations during the past year, and risk for pregnancy. Bivariate correlations were used to examine relationships among athletic participation, demographic and control variables, and measures of sexual behavior and pregnancy rates. Next, path analyses were done in order to test for hypothesized relationships between athletic participation, sexual behavior, and pregnancy involvement while controlling for age, race, income, family cohesion, and non-athletic forms of extracurricular activity. Variables that were significantly associated with sexual behavior and/or pregnancy involvement were presented for both sexes within the resulting multivariate models. RESULTS: Lower income and higher rates of sexual activity were associated with higher rates of pregnancy involvement for both sexes. Family cohesion was associated with lower sexual activity rates for both sexes. For girls, athletic participation was directly related to reduced frequency of sexual behavior and, indirectly, to pregnancy risk. Male athletes did not exhibit lower rates of sexual behavior and involvement with pregnancy than male non-athletes. Boys who participated in the arts, however, did report lower rates of sexual behavior and, indirectly, less involvement with pregnancy. CONCLUSIONS: Female adolescents who participated in sports were less likely than their non-athletic peers to engage in sexual activity and/or report a pregnancy. Among male adolescents, athletic participation was unrelated to sexual behavior and pregnancy involvement. Teen pregnancy prevention efforts for girls should consider utilizing sport as a strategic tool.

Adolescent↗
PubMed2006

Longitudinal study of urban malaria in a cohort of Ugandan children: description of study site, census and recruitment.

BACKGROUND: Studies of malaria in well-defined cohorts offer important data about the epidemiology of this complex disease, but few have been done in urban African populations. To generate a sampling frame for a longitudinal study of malaria incidence and treatment in Kampala, Uganda, a census, mapping and survey project was conducted. METHODS: All households in a geographically defined area were enumerated and mapped. Probability sampling was used to recruit a representative sample of children and collect baseline descriptive data for future longitudinal studies. RESULTS: 16,172 residents living in 4931 households in a densely-populated community (18,824 persons/km2) were enumerated. A total of 582 households were approached with at least one child less than 10 years of age in order to recruit 601 children living in 322 households. At enrollment, 19% were parasitaemic, 24% were anaemic, 43% used bednets, and 6% used insecticide-treated nets. Low G6PD activity (OR = 0.33, P = 0.009) and bednet use (OR = 0.64, P = 0.045) were associated with a decreased risk of parasitaemia. Increasing age (OR = 0.62 for each year, P < 0.001) and bednet use (OR = 0.58, P = 0.02) were associated with a decreased risk of anaemia CONCLUSION: Detailed surveys of target populations in urban Africa can provide valuable descriptive data and provide a sampling frame for recruitment of representative cohorts for longitudinal studies. Plans to use a multi-disciplinary approach to improve the understanding of the distribution and determinants of malaria incidence and response to therapy in this population are discussed.

Aging↗
PubMed2001

Mapping residents' perceptions of neighborhood boundaries: a methodological note.

Neighborhood influences on children and youth are the subjects of increasing numbers of studies, but there is concern that these investigations may be biased, because they typically rely on census-based units as proxies for neighborhoods. This pilot study tested several methods of defining neighborhood units based on maps drawn by residents, and compared the results with census definitions of neighborhoods. When residents' maps were used to create neighborhood boundary definitions, the resulting units covered different space and produced different social indicator values than did census-defined units. Residents' agreement about their neighborhoods' boundaries differed among the neighborhoods studied. This pilot study suggests that discrepancies between researcher and resident-defined neighborhoods are a possible source of bias in studies of neighborhood effects.

Adult↗
PubMed2001

Alcohol-related hospital utilization and mortality in different occupations in Sweden in 1991-1995.

OBJECTIVES: This study investigated alcohol-related hospital utilization and alcohol-related mortality according to occupation among men and women. Whether increased rates of alcoholism in some occupations result from circumstances within the occupation or from selective recruitment of persons prone to alcohol misuse was studied. METHODS: All Swedish residents were included who reported an occupation in the censuses of 1985 and 1990 and were born in 1926-1960. The relationships between occupation and hospitalization due to an alcoholism diagnosis in 1991-1994 and alcohol-related mortality in 1991-1995 were studied among stable workers (those who held the same occupation in both censuses) and newly recruited workers (those who held different occupations in the two censuses). Incidence and mortality rates were calculated for the different occupations using the person-year method, and standardized rate ratios were used as approximations of the relative risk of disease occurrence and mortality in different occupations as compared with the corresponding statistics of the entire study population. RESULTS: Several, mostly manual, occupations showed an increased relative risk of alcoholism diagnoses and alcohol-related mortality. Nonmanual occupations had low risks. Women in male-dominated high-risk occupations often showed increased relative risks. Stable and newly recruited employees in the same occupation showed very similar relative risks. CONCLUSIONS: New recruits into high-risk occupations often have increased relative risks of at least the same magnitude as persons employed long-term in the same occupations. This finding indicates that the increased relative risk of alcoholism found in some occupations can partly be explained by selective recruitment of heavy drinkers.

Alcoholism↗
PubMed2006

State-level adjusted ESRD incident rates: use of observed vs model-predicted category-specific rates.

Because of differences in case-mix across states, state-level case-mix-adjusted end-stage renal disease (ESRD) incident rates are reported in each United States Renal Data System Annual Data Report to make the across-state comparisons valid. The adjusted rates were estimated by the direct adjustment method, a widely used method for adjusted event rate calculation, based on observed category-specific ESRD incident rates in each state (called the observation-based method). However, when some adjusting categories in a state are small, the adjusted rate and the standard error for this state as estimated by this method may be inaccurate. This report proposes a model-based method that can overcome the disadvantages of the observation-based method and can be extended to continuous adjusting variables. National ESRD incident data and national population data from 1990 to 1999 were used. State-level adjusted ESRD incident rates were estimated by both the observation- and the model-based methods. For the model-based method, a Poisson regression model was used to estimate category-specific ESRD incident rates. For large-population states, both observation- and model-based methods produced similar estimates for adjusted ESRD incident rates. For small-population states, however, the observation-based method produced year-to-year estimates of adjusted ESRD incident rates that varied considerably and also had very large standard errors. In contrast, the model-based method produced stable estimates. The model-based method can overcome the disadvantages of the observation-based method for estimating state-level adjusted ESRD incident rates, especially for small states.

Age Distribution↗
PubMed2004

Historical measures of social context in life course studies: retrospective linkage of addresses to decennial censuses.

BACKGROUND: There is evidence of a contribution of early life socioeconomic exposures to the risk of chronic diseases in adulthood. However, extant studies investigating the impact of the neighborhood social environment on health tend to characterize only the current social environment. This in part may be due to complexities involved in obtaining and geocoding historical addresses. The Life Course Socioeconomic Status, Social Context, and Cardiovascular Disease Study collected information on childhood (1930-1950) and early adulthood (1960-1980) place of residence from 12,681 black and white middle-aged and older men and women from four U.S. communities to link participants with census-based socioeconomic indicators over the life course. RESULTS: Most (99%) participants were linked to 1930-50 county level socioeconomic census data (the smallest level of aggregation universally available during this time period) corresponding to childhood place of residence. Linkage did not vary by race, gender, birth cohort, or level of educational attainment. A commercial geocoding vendor processed participants' self-reported street addresses for ages 30, 40, and 50. For 1970 and 1980 censuses, spatial coordinates were overlaid onto shape files containing census tract boundaries; for 1960 no shape files existed and comparability files were used. Several methods were tested for accuracy and to increase linkage. Successful linkage to historical census tracts varied by census (66% for 1960, 76% for 1970, 85% for 1980). This compares to linkage rates of 94% for current addresses provided by participants over the course of the ARIC examinations. CONCLUSION: There are complexities and limitations in characterizing the past social context. However, our results suggest that it is feasible to characterize the earlier social environment with known levels of measurement error and that such an approach should be considered in future studies.

Journal Article↗
PubMed1999

Traumatic occupational fatalities in the retail industry, United States 1992-1996.

BACKGROUND: Retail is a growing economic sector and employs an increasing number of the overall workforce, yet little is known about the incidence and characteristics of work-related deaths in the retail industry. METHODS: Workplace deaths were examined using the Census of Fatal Occupational Injuries from 1992 through 1996. Occupational fatality rates were calculated by age, gender, and type of establishment, and characteristics of occupational deaths in the retail industry were compared to other industries. RESULTS: Liquor stores had the highest work-related fatality rates in the retail industry. The two leading causes of death in the retail industry were violence (69.5%) and motor vehicle crashes (19.3%). Females, younger, minority, and foreign-born workers were more likely to be killed in retail than other industries. Deaths in the retail industry were more likely to be in small businesses, after normal business hours, and in urban settings. DISCUSSION: Workers in the retail industry were at lower risk of most types of workplace deaths but had a markedly increased risk of violent death than workers in other industries.

Accidents, Traffic↗
PubMed2007

Organizational and unit factors contributing to reduction in the use of seclusion and restraint procedures on an acute psychiatric inpatient unit.

OBJECTIVE: The use of seclusion or restraint (S/R) as an emergency medical intervention to assist patients in regaining behavioral control continues to be an area of interest and concern for the Joint Commission on the Accreditation of Healthcare Organizations (JCAHO), consistent with the ongoing concerns in the medical, patient advocate, legislative and legal communities. This study examined unit characteristics and the use of S/R in a VA facility with a secured, acute mental health unit before and after the promulgation of the JCAHO 2000 standards for utilization of S/R for behavioral health reasons. METHODS: Variables examined include patient acuity, patient census, number of admits, number of discharges, length of stay, number of nursing staff on duty, critical incidents and S/R hours per month. RESULTS: Results indicated S/R use began showing a notable decrease corresponding to the time that senior unit management began discussions of the new JCAHO standards. These reductions maintained statistical significance even after controlling for changes in unit environmental variables.

Acute Disease↗
PubMed1993

Accident rates for heavy truck-tractors in Michigan.

Accident rates of heavy truck-tractors are modelled using log-linear methods. The accident data used are a census of truck-tractor involvements in Michigan from May 1987 to April 1988. Travel data used to calculate the rates were produced by a survey of truck-tractors in Michigan covering the same time period. Both the accident and travel data were limited to Michigan-registered tractors operating in Michigan. Log-linear models of casualty and property-damage-only accident rates were developed using number of trailers, road type, area type, and time of day as predictor variables. Overall, differences between tractors with one and two trailers were not significant. Tractors with no trailers (bobtails) have significantly higher accident rates. Characteristics of the operating environment were found to have larger effects on the accident rate than tractor configuration (except for the bobtail). Rates varied by a factor of up to 6.8, depending on the road type. Casualty accident risk at night was 1.4 times the risk during the day. The risk of a casualty accident in rural areas was 1.6 times that of urban areas.

Accidents, Traffic↗
PubMed1988

A geographic regression model for medical statistics.

A method for modeling geographic processes using census-type data is introduced in an analysis of male and female lung cancer mortality rates. The study area comprises the counties in those states which abut the Gulf of Mexico and the southeast Atlantic Coast of the United States. A spatially autoregressive model is used to estimate the strength of the univariate relationship between both the male and female lung cancer mortality rates in a country and in the respective lung cancer rates in the first to fifth order adjacent counties. The results show that male lung cancer exhibits spatial autocorrelation while female lung cancer does not, and that the female data exhibit a spatial trend while the male data do not. These findings suggest that factors which vary at the regional scale play a greater role in the etiology of female lung cancer and that factors that vary at the neighborhood scale play a greater role in the etiology of male lung cancer.

Female↗
PubMed2005

McDonald's restaurants and neighborhood deprivation in Scotland and England.

BACKGROUND: Features of the local fast food environment have been hypothesized to contribute to the greater prevalence of obesity in deprived neighborhoods. However, few studies have investigated whether fast food outlets are more likely to be found in poorer areas, and those that have are local case studies. In this paper, using national-level data, we examine the association between neighborhood deprivation and the density of McDonald's restaurants in small census areas (neighborhoods) in Scotland and England. METHODS: Data on population, deprivation, and the location of McDonald's Restaurants were obtained for 38,987 small areas in Scotland and England (6505 "data zones" in Scotland, and 32,482 "super output areas" in England) in January 2005. Measures of McDonald's restaurants per 1000 people for each area were calculated, and areas were divided into quintiles of deprivation. Associations between neighborhood deprivation and outlet density were examined during February 2005, using one-way analysis of variance in Scotland, England, and both countries combined. RESULTS: Statistically significant positive associations were found between neighborhood deprivation and the mean number of McDonald's outlets per 1000 people for Scotland (p<0.001), England (p<0.001), and both countries combined (p<0.001). These associations were broadly linear with greater mean numbers of outlets per 1000 people occurring as deprivation levels increased. CONCLUSIONS: Observed associations between presence or absence of fast food outlets and neighborhood deprivation may provide support for environmental explanations for the higher prevalence of obesity in poor neighborhoods.

England↗
PubMed2006

The American Association for Pediatric Ophthalmology and Strabismus workforce distribution project.

PURPOSE: To describe data sources and functional utility of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) workforce database and associated map files. METHODS: Population data from the 2000 U.S. Census and current listings from the AAPOS and American Academy of Ophthalmology (AAO) databases were organized to demonstrate and analyze practitioner-to-population relationships for metropolitan statistical areas nationwide. An interactive map was developed to provide an intuitive graphical display of the data. RESULTS: A total of 749 active AAPOS members were distributed in 154 of 280 defined metropolitan statistical areas. Within these areas, a 0- to 20-year age subgroup varied from 17.8% to 42.6%, with an average of 30.4%. The AAPOS member-to-million-person ratio varied from 1.3 to 27, with higher numbers generally representing regions with population bases inadequately defined by Census Bureau statistical area definitions. Ratios for a majority of larger, better-defined areas ranged from 3 to 4 AAPOS members per million persons. Sizable areas with no AAPOS member presence were identified and tabulated. AAO members with a specified pediatric practice focus who were not AAPOS members were identified in 103 areas, possibly influencing patient choices and practitioner referrals for these regions. CONCLUSIONS: The AAPOS workforce database and related interactive map display practitioner and population data that may assist physicians and planners in targeting practice development and identifying potentially underserved areas.

Databases, Factual↗
PubMed2006

Ascertaining variation in hospitalization risk among immigrants using small area analysis.

INTRODUCTION: Data on hospitalization of immigrants to the United States are sparse, but small area analysis may improve the utility of existing data. METHODS: Applying logistic regression analysis to 2000 census and hospitalization data for New York City, we examined the odds of hospital admission by major diagnostic category and global region of birth after controlling for covariates. We used individual-level covariates to control for age, race, and gender. By matching the patient's zip code of residence to census data, we then added median household income, the proportion of persons born in a particular global region, and the proportion of foreign-born persons living in the same zip code as independent variables. RESULTS: The total proportion of foreign-born persons in a zip code predicts a lower hospitalization rate for most major diagnostic categories and most foreign-born groups. However, Africa-born persons have a higher odds of hospitalization for most major diagnostic categories - up to 1.79 (95% confidence interval 1.73, 1.86) for blood and blood forming disorders - relative to native-born persons. The odds of hospitalization among Africa-born persons for most conditions are over 3 times higher than other foreign-born groups. Hospitalization odds for Latin American-born persons were also higher than native-born persons across major diagnostic categories. CONCLUSION: Small area analysis generally predicts hospitalization rates that coincide with mortality studies and may serve as a useful tool for hypothesis testing in immigrant health.

Adolescent↗