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PubMed1999

A small area analysis estimating the prevalence of addiction to opioids in Barcelona, 1993.

STUDY OBJECTIVE: To determine the distribution of opioid use prevalence in small areas and its relation with socioeconomic indicators. DESIGN: Capture-recapture was applied using data from the Barcelona Drug Information System for 1993 (treatment demands, hospital emergency room visits, deaths from heroin acute adverse reaction and pre-trial prison admissions). To avoid dependence between sources, a log-linear regression model with interactions was fitted. For small neighbourhoods, where capture-recapture estimates were not obtainable, the Heroin Problem Index (HPI) was used to predict prevalence rates from a regression model. The correlation between estimated opioid use prevalence by neighbourhoods and their socioeconomic level was computed. MAIN RESULTS: The city's estimated prevalence was 12.9 opioid addicts per 1000 inhabitants aged 15 to 44 years (95% CI: 10.1, 17.2), which represents 9176 persons. The highest rate was found in the inner city neighbourhood. Comparing rates obtained for each neighbourhood with their unemployment rates, a high correlation coefficient was obtained (r = 0.80, p < 0.001). CONCLUSION: The main contribution of this study is that of combining capture-recapture with the HPI to produce small area prevalence estimates, which would not have been possible using only one method. Areas with higher socioeconomic status showed proportionally low addiction prevalences, but in depressed areas, prevalences varied widely.

Adolescent↗
PubMed1994

Allocating resources to health authorities: development of method for small area analysis of use of inpatient services.

Every year about 22 billion pounds is allocated to health authorities for hospital and community services in England. The distribution of most of these funds is based on a formula developed to reflect the population's needs, but the existing formula has been criticised on several grounds. This paper describes the development of a method to determine the health needs for small geographical areas. Data from the hospital episodes statistics and 1991 census together with information on vital statistics and supply of health care facilities were used in the model. Two stage least squares regression was used to identify true indicators of need, and these were entered into a multilevel model to take account of variations in practice in different health authorities. The resulting formula should be more statistically robust and more sensitive to needs than previous approaches.

Health Care Rationing↗
PubMed1994

Allocating resources to health authorities: results and policy implications of small area analysis of use of inpatient services.

A study designed to identify the principal determinants of use of inpatient facilities in NHS hospitals in England used the data and methods outlined in the previous paper. The model for the psychiatric sector contains mortality, self reported morbidity, and social variables indicating deprivation and the level of care at home. The non-acute model contains mortality and several socioeconomic variables. The models lay less weight on age than the current formula, and a national formula based on these models would, in the acute sector, redistribute resources to poorer areas compared with the current formula.

Health Care Rationing↗
PubMed1993

Small area analysis of lumbar spine surgery in South Australia.

The hospital separation records for 1987 in the health planning regions of South Australia were reviewed using a selection algorithm to identify all hospitalizations involving a lumbar spine surgery (LSS) for low back or leg pain. Among 16 health planning regions (two additional regions were excluded from the analysis because of the low number of observations) the LSS rate varied almost four-fold, from 25 to 92/100,000, with a mean of 55/100,000. The effect of 24 socioeconomic and health care supply characteristic variables upon observed differences in rates were tested. The unemployment rate was the only significant variable in the analysis, explaining 11% of the variation in the surgery rates for the 16 regions. This finding is in agreement with studies from other countries that suggest that characteristics of small areas do not substantially predict the rates of elective surgical procedures. The decision-making processes of surgeons and their patients remain poorly defined; the contributions to the rate of lumbar spine surgery by the health care delivery system, physician behaviours or patient expectations are not yet identified.

Health Services Needs and Demand↗
PubMed2002

Income, race, and preventable hospitalizations: a small area analysis in New Jersey.

This research examines the effect of income, race, and cultural factors on preventable hospitalizations, using age and sex-adjusted preventable admissions from 53 contiguous zip codes in New Jersey from 1993 to 1995. Low income was strongly associated with high rates of preventable hospitalization in the study zip codes. Income is likely a proxy for education level, barriers to accessing primary care, and health insurance. A floor effect of income levels was present that may reflect a natural level of preventable hospitalization not affected by income, education, or health insurance status. An independent relationship found between nonwhite race and high preventable hospitalization may be in part the result of delays in seeking care affected by antecedent cultural factors. Removing financial barriers is critical but may be insufficient for reducing preventable hospitalizations if other barriers are not also addressed.

Adolescent↗
PubMed1992

Socioeconomic status and mortality revisited: an extension of the Brisbane area analysis.

Using the methodology of an earlier study of socioeconomic mortality gradients, we partitioned Brisbane City into five strata of equal size on the basis of suburb scores derived from aggregate socioeconomic census data. Numbers of deaths by stratum, age, sex and cause were obtained from mortality files. For almost all causes, mortality gradients had not changed between 1976-1979 and 1980-1987. A new category, medically-preventable death under age 65, had lower rates in higher-ranking suburbs. Potential years of life lost (PYLL) per unit of population, age-standardised, were also computed by stratum and cause. External causes of death were the main contributors to PYLL among men, with a strong socioeconomic gradient, while neoplasms were most important among women, with little evidence of a social class effect. It is estimated that, in urban Australia, the annual number of additional deaths under age 65 due to socioeconomic circumstances is over 2000 for males and over 1000 for females. This study provides a baseline against which the programs of health advancement initiated in the mid-1980s may be evaluated, or conversely, the effects of societal changes assessed.

Adolescent↗
PubMed2004

Hospitalization for heart disease, stroke, and diabetes mellitus among Indian-born persons: a small area analysis.

BACKGROUND: We set out to describe the risk of hospitalization from heart disease, stroke, and diabetes among persons born in India, all foreign-born persons, and U.S.-born persons residing in New York City. METHODS: We examined billing records of 1,083,817 persons hospitalized in New York City during the year 2000. The zip code of each patient's residence was linked to corresponding data from the 2000 U.S. Census to obtain covariates not present in the billing records. Using logistic models, we evaluated the risk of hospitalization for heart disease, stroke and diabetes by country of origin. RESULTS: After controlling for covariates, Indian-born persons are at similar risk of hospitalization for heart disease (RR = 1.02, 95% confidence interval 1.02, 1.03), stroke (RR = 1.00, 95% confidence interval, 0.99, 1.01), and diabetes mellitus (RR = 0.96 95% confidence interval 0.94, 0.97) as native-born persons. However, Indian-born persons are more likely to be hospitalized for these diseases than other foreign-born persons. For instance, the risk of hospitalization for heart disease among foreign-born persons is 0.70 (95% confidence interval 0.67, 0.72) and the risk of hospitalization for diabetes is 0.39 (95% confidence interval 0.37, 0.42) relative to native-born persons. CONCLUSIONS: South Asians have considerably lower rates of hospitalization in New York than reported in countries with national health systems. Access may play a role. Clinicians working in immigrant settings should nonetheless maintain a higher vigilance for these conditions among Indian-born persons than among other foreign-born populations.

Adolescent↗
PubMed1988

Cesarean birth rate: small-geographic-area analysis.

Population-based analysis of cesarean section rates within 172 geographic areas in the Commonwealth of Massachusetts during fiscal year 1985 revealed a nearly normal distribution of observed-to-expected rates, implying that the forces that compel obstetricians to perform this surgical procedure are pervasive. However, a small number of areas were identified in which the number of procedures performed was significantly different from the state mean. During fiscal years 1982 to 1985, certain geographic subgroups consistently demonstrated incidence rates significantly greater than the state mean. Although variation (either overutilization or underutilization) from the state rate is not synonymous with inappropriate care, those physicians within the identified geographic areas must take responsibility for ascertaining the explanation for the variance.

Cesarean Section↗
PubMedDate not supplied

Air pollution and medical care use by older Americans: a cross-area analysis.

The case for reduction of air pollution has been predicated primarily on the frequently observed relationship between pollution and mortality and morbidity. Because pollution control usually involves costs, a rational public policy will weigh the benefits against the costs. This study investigates another potential benefit from pollution reduction: namely, decreased use of medical care. We find a strong relationship between particulate matter and inpatient and outpatient care at ages 65-84 across 183 metropolitan statistical areas (MSAs). The relationship is statistically significant at a very high level of confidence even after the region and population size of the areas, education, real income, racial composition, use of cigarettes, and obesity are controlled for.

Aged↗
PubMed2005

Social capital, geography and health: a small-area analysis for England.

There has recently been much debate about the influence of social capital on health outcomes. In particular it has been suggested that levels of social capital vary from place to place and that such variations may account for previously unexplained between-place variations in health outcomes. As yet few studies exist of the influence of small-area variations in social capital on health outcomes. One reason for this is the difficulty of obtaining indicators for small areas such as electoral wards in England, and we describe a method used to derive what we term 'synthetic estimates' of aspects of social capital by linking coefficients produced from multi-level analyses of national survey datasets to census data. We produce estimates for electoral wards in England and apply these in multi-level models of our response variable, the probability of survival of individuals surveyed in the Health and Lifestyle Survey of England. We report various combinations of models incorporating individual attributes, health-related behaviours, area measures of deprivation, and area measures of social capital. Our overall conclusion is that we find little support, at this spatial scale, for the proposition that area measures of social capital exert a beneficial effect on health outcomes.

Censuses↗
PubMed1990

Standards and norms in small area analysis.

Description of the type and amount of variation in the use of health care services across geographic areas is a well-established method of inquiry encompassing the analysis of both medical and surgical treatment modalities.

Catchment Area, Health↗