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Median Household Income (median + household_income)
Selected AbstractsDo California Counties With Lower Socioeconomic Levels Have Less Access to Emergency Department Care?ACADEMIC EMERGENCY MEDICINE, Issue 5 2010Deepa Ravikumar Abstract Objectives:, The study objective was to examine the relationship between number of emergency departments (EDs) per capita in California counties and measures of socioeconomic status, to determine whether individuals living in areas with lower socioeconomic levels have decreased access to emergency care. Methods:, The authors linked 2005 data from the American Hospital Association (AHA) Annual Survey of Hospitals with the Area Resource Files from the United States Department of Health and Human Services and performed Poisson regression analyses of the association between EDs per capita in individual California counties using the Federal Information Processing Standard (FIPS) county codes and three measures of socioeconomic status: median household income, percentage uninsured, and years of education for individuals over 25 years of age. Multivariate analyses using Poisson regression were also performed to determine if any of these measures of socioeconomic status were independently associated with access to EDs. Results:, Median household income is inversely related to the number of EDs per capita (rate ratio = 0.83; 95% confidence interval [CI] = 0.71 to 0.96). Controlling for income in the multivariate analysis demonstrates that there are more EDs per 100,000 population in FIPS codes with more insured residents when compared with areas having less insured residents with the same levels of household income. Similarly, FIPS codes whose residents have more education have more EDs per 100,000 compared with areas with the same income level whose residents have less education. Conclusions:, Counties whose residents are poorer have more EDs per 100,000 residents than those with higher median household incomes. However, for the same income level, counties with more insured and more highly educated residents have a greater number of EDs per capita than those with less insured and less educated residents. These findings warrant in-depth studies on disparities in access to care as they relate to socioeconomic status. ACADEMIC EMERGENCY MEDICINE 2010; 17:508,513 © 2010 by the Society for Academic Emergency Medicine [source] Community alcohol outlet density and underage drinkingADDICTION, Issue 2 2010Meng-Jinn Chen ABSTRACT Aim This study examined how community alcohol outlet density may be associated with drinking among youths. Methods Longitudinal data were collected from 1091 adolescents (aged 14,16 at baseline) recruited from 50 zip codes in California with varying levels of alcohol outlet density and median household income. Hierarchical linear models were used to examine the associations between zip code alcohol outlet density and frequency rates of general alcohol use and excessive drinking, taking into account zip code median household income and individual-level variables (age, gender, race/ethnicity, personal income, mobility and perceived drinking by parents and peers). Findings When all other factors were controlled, higher initial levels of drinking and excessive drinking were observed among youths residing in zip codes with higher alcohol outlet densities. Growth in drinking and excessive drinking was, on average, more rapid in zip codes with lower alcohol outlet densities. The relation of zip code alcohol outlet density with drinking appeared to be mitigated by having friends with access to a car. Conclusion Alcohol outlet density may play a significant role in initiation of underage drinking during early teenage, especially when youths have limited mobility. Youth who reside in areas with low alcohol outlet density may overcome geographic constraints through social networks that increase their mobility and the ability to seek alcohol and drinking opportunities beyond the local community. [source] Do California Counties With Lower Socioeconomic Levels Have Less Access to Emergency Department Care?ACADEMIC EMERGENCY MEDICINE, Issue 5 2010Deepa Ravikumar Abstract Objectives:, The study objective was to examine the relationship between number of emergency departments (EDs) per capita in California counties and measures of socioeconomic status, to determine whether individuals living in areas with lower socioeconomic levels have decreased access to emergency care. Methods:, The authors linked 2005 data from the American Hospital Association (AHA) Annual Survey of Hospitals with the Area Resource Files from the United States Department of Health and Human Services and performed Poisson regression analyses of the association between EDs per capita in individual California counties using the Federal Information Processing Standard (FIPS) county codes and three measures of socioeconomic status: median household income, percentage uninsured, and years of education for individuals over 25 years of age. Multivariate analyses using Poisson regression were also performed to determine if any of these measures of socioeconomic status were independently associated with access to EDs. Results:, Median household income is inversely related to the number of EDs per capita (rate ratio = 0.83; 95% confidence interval [CI] = 0.71 to 0.96). Controlling for income in the multivariate analysis demonstrates that there are more EDs per 100,000 population in FIPS codes with more insured residents when compared with areas having less insured residents with the same levels of household income. Similarly, FIPS codes whose residents have more education have more EDs per 100,000 compared with areas with the same income level whose residents have less education. Conclusions:, Counties whose residents are poorer have more EDs per 100,000 residents than those with higher median household incomes. However, for the same income level, counties with more insured and more highly educated residents have a greater number of EDs per capita than those with less insured and less educated residents. These findings warrant in-depth studies on disparities in access to care as they relate to socioeconomic status. ACADEMIC EMERGENCY MEDICINE 2010; 17:508,513 © 2010 by the Society for Academic Emergency Medicine [source] Pneumonia and Influenza Hospitalizations in Elderly People with DementiaJOURNAL OF AMERICAN GERIATRICS SOCIETY, Issue 12 2009Elena N. Naumova PhD OBJECTIVES: To compare the demographic and geographic patterns of pneumonia and influenza (P&I) hospitalizations in older adults with dementia with those of the U.S. population and to examine the relationship between healthcare accessibility and P&I. DESIGN: Observational study using historical medical claims from the Centers for Medicare and Medicaid Services (CMS) and CMS records supplemented with information derived from other large national sources. SETTING: Retrospective analysis of medical records uniformly collected over a 5-year period with comprehensive national coverage. PARTICIPANTS: A study population representative of more than 95% of all people aged 65 and older residing in the continental United States. MEASUREMENTS: Six million two hundred seventy-seven thousand six hundred eighty-four records of P&I between 1998 and 2002 were abstracted, and county-specific outcomes for hospitalization rates of P&I, mean length of hospital stay, and percentage of deaths occurring in a hospital setting were estimated. Associations with county-specific elderly population density, percentage of nursing home residents, median household income per capita, and rurality index were assessed. RESULTS: Rural and poor counties had the highest rate of P&I and percentage of influenza. Patients with dementia had a lower frequency of influenza diagnosis, a shorter length of hospital stay, and 1.5 times as high a rate of death as the national average. CONCLUSION: The results suggest strong disparities in healthcare practices in rural locations and vulnerable populations; infrastructure, proximity, and access to healthcare are significant predictors of influenza morbidity and mortality. These findings have important implications for influenza vaccination, testing, and treatment policies and practices targeting the growing fraction of patients with cognitive impairment. [source] Socioeconomic Status and Survival in Older Patients with MelanomaJOURNAL OF AMERICAN GERIATRICS SOCIETY, Issue 11 2006Carlos A. Reyes-Ortiz MD OBJECTIVES: To determine the association between socioeconomic status (SES) and survival in older patients with melanoma. DESIGN: Retrospective cohort study. SETTING: Surveillance, Epidemiology and End Results (SEER): a population-based cancer registry covering 14% of the U.S. population. PARTICIPANTS: Twenty-three thousand sixty-eight patients aged 65 and older with melanoma between 1988 and 1999. MEASUREMENTS: Outcome was melanoma-specific survival. Main independent variable was SES (measured as census tract median household income) taken from the SEER-Medicare linked data. RESULTS: Subjects residing in lower-income areas (,$30,000/y) had lower 5-year survival rates (88.5% vs 91.1%, P<.001) than subjects residing in higher-income areas (>$30,000/y). In Cox proportional hazard models, higher income was associated with lower risk of death from melanoma (hazard ratio=0.88, 95% confidence interval=0.79,0.98, P=.02) after adjusting for sociodemographics, stage at diagnosis, thickness, histology, anatomic site, and comorbidity index. There was an interaction effect between SES and ethnicity and survival from melanoma. For whites and nonwhites (all other ethnic groups), 5-year survival rates increased as income increased, although the effect was greater for nonwhites (77.6% to 90.1%, 1st to 5th quintiles, P=.01) than for whites (89.0% to 91.9%, 1st to 5th quintiles, P<.001). CONCLUSION: Older subjects covered by Medicare residing in lower-SES areas had poorer melanoma survival than those residing in higher-SES areas. Further research is needed to determine whether low SES is associated with late-stage disease biology and poorer early detection of melanoma. [source] Can neighborhood associations be allies in health policy efforts?JOURNAL OF COMMUNITY PSYCHOLOGY, Issue 1 2002Political activity among neighborhood associations We examined organizational characteristics and types of political actions of neighborhood associations, and factors influencing the amount of political activity among the associations. We hypothesized that four neighborhood characteristics (population size, income, educational level, and percentage of owner-occupied households) and six organizational characteristics (budget, number of staff, size of board, newsletter publication, coalition involvement, and resident involvement) would influence the amount of political activity of the associations. We obtained data from the 1990 U.S. Census and a survey of neighborhood associations (n = 84) in Minneapolis and St. Paul, Minnesota. We found that neighborhood associations engaged in numerous and diverse political activities. Results from multiple regression analyses revealed that median household income was negatively associated with amount of political activity. Population size of the neighborhood and intensity of involvement in multi-organization coalitions were both positively associated with political activity (all significant at p < .05). We conclude that neighborhood associations, particularly those in larger and poorer neighborhoods, can be key allies in health and social policy efforts. © 2002 John Wiley & Sons, Inc. [source] Seasonal Homes and the Local Property Tax: Evidence from New York StateAMERICAN JOURNAL OF ECONOMICS AND SOCIOLOGY, Issue 2 2009Lester Hadsell This study examines the growth of seasonal (i.e., second or vacation) homes and their impact on local property tax rates using evidence from towns and villages in New York State between 1990 and 2000. We find that a greater concentration of seasonal homes in a municipality is associated with a lower effective property tax rate in towns, and a higher rate in small and rural villages. An alternative measure of tax burden, property taxes as a percentage of median household income, is not related to the presence of seasonal homes in towns but is positively related in small and rural villages. Our findings for towns contradict the findings of an earlier study by Fritz (1982) that found that an increase in town property allocated to vacation homes was significantly associated with an increasing property tax rate, although our findings for villages supports his findings. [source] The relationship between the neighbourhood environment and adverse birth outcomesPAEDIATRIC & PERINATAL EPIDEMIOLOGY, Issue 3 2006Thomas A. Farley Summary Intrauterine growth retardation and preterm birth are more frequent in African-American women and women of lower socio-economic status, but the reasons for these disparities are not fully understood. The physical and social environments in which these women live may contribute to these disparities. We conducted a multilevel study to explore whether conditions of mothers' neighbourhood of residence contribute to adverse birth outcomes independent of individual-level determinants. We analysed data from 105 111 births in 1015 census tracts in Louisiana during 1997,98, merging it with data from other existing sources on neighbourhood socio-economic status, neighbourhood physical deterioration, and neighbourhood density of retail outlets selling tobacco, alcohol and foods. After controlling for individual-level sociodemographic factors, tract-level median household income was positively associated with both birthweight-for-gestational-age and gestational age at birth. Neighbourhood physical deterioration was associated with these birth outcomes in ecological analyses but only inconsistently associated with them after controlling for individual-level factors. Neither gestational age nor birthweight-for-gestational-age was associated with the neighbourhood density of alcohol outlets, tobacco outlets, fast-food restaurants or grocery supermarkets. We conclude that measures of neighbourhood economic conditions are associated with both fetal growth and the length of gestation independent of individual-level factors, but that readily available measures of neighbourhood retail outlets are not. Additional studies are needed to better understand the nature of environmental influences on birth outcomes. [source] Joint replacement surgeries among medicare beneficiaries in rural compared with urban areasARTHRITIS & RHEUMATISM, Issue 12 2009Mark L. Francis Objective People in rural areas live farther away from hospitals than do people in urban areas. Thus, there is concern that people living in rural areas may be less willing or able to undergo elective surgical procedures. This study was undertaken to determine whether Medicare beneficiaries in rural areas were less likely to have elective total knee or hip replacement surgeries compared with their urban counterparts. Methods We performed a cross-sectional study of Medicare beneficiaries, controlling for age, sex, race/ethnicity, and economic status. Beneficiaries were assigned to rural versus urban areas based on their zip code of residence and the 10-point Rural-Urban Commuting Area designation. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Results Compared with urban beneficiaries, rural beneficiaries were 27% more likely to have total knee or hip replacement surgeries (OR 1.27 [95% CI 1.26,1.28]). After adjusting for age, sex, race/ethnicity, median household income, average house value, mean poverty ratio, and state of residence, rural beneficiaries were still 14% more likely to have total joint replacement surgeries (OR 1.14 [95% CI 1.13,1.16]). Differential use of surgery before and after receiving Medicare eligibility did not explain the findings. While significant sex, racial, and ethnic disparities were present in both rural and urban areas, for the most part these disparities were ameliorated rather than accentuated in rural areas. Conclusion Contrary to expectations, our findings indicate that Medicare beneficiaries living in rural areas are more likely to undergo total knee or hip replacement surgeries. [source] Do California Counties With Lower Socioeconomic Levels Have Less Access to Emergency Department Care?ACADEMIC EMERGENCY MEDICINE, Issue 5 2010Deepa Ravikumar Abstract Objectives:, The study objective was to examine the relationship between number of emergency departments (EDs) per capita in California counties and measures of socioeconomic status, to determine whether individuals living in areas with lower socioeconomic levels have decreased access to emergency care. Methods:, The authors linked 2005 data from the American Hospital Association (AHA) Annual Survey of Hospitals with the Area Resource Files from the United States Department of Health and Human Services and performed Poisson regression analyses of the association between EDs per capita in individual California counties using the Federal Information Processing Standard (FIPS) county codes and three measures of socioeconomic status: median household income, percentage uninsured, and years of education for individuals over 25 years of age. Multivariate analyses using Poisson regression were also performed to determine if any of these measures of socioeconomic status were independently associated with access to EDs. Results:, Median household income is inversely related to the number of EDs per capita (rate ratio = 0.83; 95% confidence interval [CI] = 0.71 to 0.96). Controlling for income in the multivariate analysis demonstrates that there are more EDs per 100,000 population in FIPS codes with more insured residents when compared with areas having less insured residents with the same levels of household income. Similarly, FIPS codes whose residents have more education have more EDs per 100,000 compared with areas with the same income level whose residents have less education. Conclusions:, Counties whose residents are poorer have more EDs per 100,000 residents than those with higher median household incomes. However, for the same income level, counties with more insured and more highly educated residents have a greater number of EDs per capita than those with less insured and less educated residents. These findings warrant in-depth studies on disparities in access to care as they relate to socioeconomic status. ACADEMIC EMERGENCY MEDICINE 2010; 17:508,513 © 2010 by the Society for Academic Emergency Medicine [source] Using commercial telephone directories to obtain a population-based sample for mail survey of women of reproductive agePAEDIATRIC & PERINATAL EPIDEMIOLOGY, Issue 3 2003Danelle T. Lobdell Summary In the United States, sampling women of reproductive age from the general population for research purposes is a challenge. Even more difficult is conducting a population-based study of couples attempting pregnancy to assess fecundity and fertility or related impairments. To address the problem of obtaining representative samples from the population in order to study such health-related issues, a commercially and readily available CD-ROM telephone directory was used and tested as a sampling framework for studies aimed at enrolling gravid women aged 18,44 years. A self-administered questionnaire (SAQ) was mailed to a stratified random sample of 10 005 (3%) households in Erie County, NY, USA. Overall, 17% of the questionnaires were undeliverable despite updating all addresses with residential software before mailing. Thirteen per cent (n = 1089) of the households returned completed questionnaires, of which 35% (n = 377) were completed by women aged 18,44 years. Using 1990 census information for zip code, respondents were more likely to be white and to have higher median household incomes than non-respondents. Of the 377 women who completed the questionnaire, 79% had been pregnant at least once, 5% reported being unable to become pregnant, and 16% reporting never trying to become pregnant. Despite the overall low response to the SAQ, the sampling framework captured a diverse group of women of reproductive age who reported various fecundity and fertility outcomes. The use of low-cost commercially available software linked to census data for selecting samples of women or couples for reproductive and perinatal research may be possible; however, oversampling of households, use of incentives and follow-up of non-respondents is needed to ensure adequate sample sizes. [source] | ||||||||||