Curtis Sarah, Copeland Alison, Fagg James, Congdon Peter, Almog Michael, Fitzpatrick Justine
Department of Geography, Health Research Group, Queen Mary College, University of London, London, UK.
Health Place. 2006 Mar;12(1):19-37. doi: 10.1016/j.healthplace.2004.07.002. Epub 2004 Oct 27.
We report on comparative analyses of small area variation in rates of acute hospital admissions for psychiatric conditions in Greater London around the year 1998 and in New York City (NYC) in 2000. Based on a theoretical model of the factors likely to influence psychiatric admission rates, and using data from the most recent population censuses and other sources, we examine the association with area indicators designed to measure access to hospital beds, socio-economic deprivation, social fragmentation and ethnic/racial composition. We report results on admissions for men and women aged 15-64 for all psychiatric conditions (excluding self-harm), drug-related substance abuse/addiction, schizophrenia and affective disorders. The units of analysis in NYC were 165 five-digit Zip Code Areas and, in London, 760 electoral wards as defined in 1998. The analysis controls for age and sex composition and, as a proxy for access to care, spatial proximity to hospitals with psychiatric beds. Poisson regression modeling incorporating random effects was used to control for both overdispersion in the counts of admissions and for the effects of spatial autocorrelation. The results for NYC and London showed that local admission rates for all types of condition were positively and significantly associated with deprivation and the association is independent of demographic composition or 'access' to beds. In NYC, social fragmentation showed a significant association with admissions due to affective disorders and schizophrenia, and for drug dependency among females. Racial minority concentration was significantly and positively associated with admissions for schizophrenia. In London, social fragmentation was associated positively with admissions for men and women due to schizophrenia and affective disorders. The variable measuring racial/ethnic minority concentration for London wards showed a negative association with admission rates for drug dependency and for affective disorders. We discuss the interpretation of these results and the issues they raise in terms of the potential and limitations of international comparison.
我们报告了1998年前后大伦敦地区和2000年纽约市(NYC)精神疾病急性住院率的小区域差异比较分析。基于一个可能影响精神科住院率的因素的理论模型,并使用最新人口普查和其他来源的数据,我们研究了与旨在衡量病床可及性、社会经济剥夺、社会碎片化以及种族/民族构成的区域指标之间的关联。我们报告了15 - 64岁男性和女性所有精神疾病(不包括自残)、药物相关物质滥用/成瘾、精神分裂症和情感障碍的住院结果。纽约市的分析单位是165个五位邮政编码区域,伦敦的分析单位是1998年定义的760个选区。分析控制了年龄和性别构成,并以与设有精神科病床的医院的空间距离作为获得医疗服务的替代指标。采用纳入随机效应的泊松回归模型来控制住院计数中的过度离散以及空间自相关的影响。纽约市和伦敦的结果表明,所有类型疾病的当地住院率与剥夺呈正相关且显著相关,并且这种关联独立于人口构成或病床“可及性”。在纽约市,社会碎片化与情感障碍和精神分裂症导致的住院以及女性药物依赖显著相关。少数族裔集中程度与精神分裂症住院呈显著正相关。在伦敦,社会碎片化与男性和女性因精神分裂症和情感障碍导致的住院呈正相关。衡量伦敦选区种族/少数族裔集中程度的变量与药物依赖和情感障碍的住院率呈负相关。我们讨论了这些结果的解释以及它们在国际比较的潜力和局限性方面所引发的问题。