死亡地点:对英格兰西北部部分地区癌症死亡的分析。

Anthony C Gatrell, Juliet C Harman, Brian J Francis, Carol Thomas, Sara M Morris, Malcolm McIllmurray
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引用次数: 66

摘要

背景:关于死亡地点分布的详细地理性质的工作相对较少。特别是,鉴于有证据表明大多数癌症患者更愿意在家中死去,有必要检查各地对这种偏好的满足程度有多大差异。方法:使用英格兰西北部单一卫生当局的癌症死亡数据,我们分别使用二项和二项逻辑回归模型对死亡地点进行了小区域和个体分析。结果:小区域分析结果显示,在贫困程度越高的地区,癌症患者在医院或临终关怀中死亡的可能性越大,在家中死亡的可能性越小,但一旦控制了其他因素,这种影响就会消失。在个人层面上,生活在贫困地区的人在家中死亡的可能性降低,而在医院死亡的可能性随着地区贫困程度的增加而增加。年龄、性别、癌症类型以及离医院或临终关怀所的距离,都对特定环境下的死亡概率有一定影响。结论:在英格兰西北部部分地区,癌症患者的死亡地点存在显著的地方差异。然而,对癌症患者死亡地点的研究需要考虑到各种环境,如果研究贫困或社会阶层的影响,则需要调整其他因素,包括与不同环境的接近程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Place of death: analysis of cancer deaths in part of North West England.

Background: Relatively little work of a detailed geographical nature has been undertaken on the distribution of place of death. In particular, given evidence that most cancer patients would prefer to die at home there is a need to examine the extent to which this preference is met differentially from place to place.

Methods: Using data on cancer deaths for a single Health Authority in North West England we conducted both small area and individual analyses of place of death, using binomial and binary logistic regression models, respectively.

Results: Results from the small area analysis show that in more deprived areas cancer patients are more likely to die in hospital or hospice, and less likely to die at home, but that the effect disappears for home and hospice deaths once other factors are controlled for. At the individual level, the probability of death at home decreases among those living in deprived areas, whereas the probability of death in hospital increases as area deprivation increases. Age, gender, type of cancer, and proximity to hospital or hospice all have some effect on the probability of dying in a particular setting.

Conclusion: There is significant place-to-place variation in place of death among cancer patients in part of North West England. However, studies of place of death among cancer patients need to consider the full range of settings and, if examining the impact of deprivation or social class, need to adjust for other factors, including proximity to different settings.

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