The Health Foundation, 8 Salisbury Square, London, UK.
ICES, Toronto, ON, M4N 3M5, Canada.
BMC Public Health. 2023 Mar 11;23(1):472. doi: 10.1186/s12889-023-15370-y.
There is currently mixed evidence on the influence of long-term conditions and deprivation on mortality. We aimed to explore whether number of long-term conditions contribute to socioeconomic inequalities in mortality, whether the influence of number of conditions on mortality is consistent across socioeconomic groups and whether these associations vary by working age (18-64 years) and older adults (65 + years). We provide a cross-jurisdiction comparison between England and Ontario, by replicating the analysis using comparable representative datasets.
Participants were randomly selected from Clinical Practice Research Datalink in England and health administrative data in Ontario. They were followed from 1 January 2015 to 31 December 2019 or death or deregistration. Number of conditions was counted at baseline. Deprivation was measured according to the participant's area of residence. Cox regression models were used to estimate hazards of mortality by number of conditions, deprivation and their interaction, with adjustment for age and sex and stratified between working age and older adults in England (N = 599,487) and Ontario (N = 594,546).
There is a deprivation gradient in mortality between those living in the most deprived areas compared to the least deprived areas in England and Ontario. Number of conditions at baseline was associated with increasing mortality. The association was stronger in working age compared with older adults respectively in England (HR = 1.60, 95% CI 1.56,1.64 and HR = 1.26, 95% CI 1.25,1.27) and Ontario (HR = 1.69, 95% CI 1.66,1.72 and HR = 1.39, 95% CI 1.38,1.40). Number of conditions moderated the socioeconomic gradient in mortality: a shallower gradient was seen for persons with more long-term conditions.
Number of conditions contributes to higher mortality rate and socioeconomic inequalities in mortality in England and Ontario. Current health care systems are fragmented and do not compensate for socioeconomic disadvantages, contributing to poor outcomes particularly for those managing multiple long-term conditions. Further work should identify how health systems can better support patients and clinicians who are working to prevent the development and improve the management of multiple long-term conditions, especially for individuals living in socioeconomically deprived areas.
长期疾病和贫困对死亡率的影响存在混合证据。我们旨在探讨长期疾病的数量是否会导致死亡率的社会经济不平等,以及疾病数量对死亡率的影响在社会经济群体中是否一致,以及这些关联是否因工作年龄(18-64 岁)和老年人(65+岁)而异。我们通过使用可比的代表性数据集复制分析,在英格兰和安大略省之间进行了跨司法管辖区比较。
参与者从英格兰的临床实践研究数据链和安大略省的健康管理数据中随机选择。从 2015 年 1 月 1 日至 2019 年 12 月 31 日或死亡或注销之日起对他们进行随访。在基线时计算疾病数量。根据参与者的居住区域来衡量贫困程度。在英格兰(N=599487)和安大略省(N=594546),使用 Cox 回归模型根据疾病数量、贫困程度及其相互作用来估计死亡率风险,调整了年龄和性别,并按工作年龄和老年人进行分层。
在英格兰和安大略省,与生活在最贫困地区的人相比,生活在最贫困地区的人在死亡率方面存在贫困梯度。基线时的疾病数量与死亡率的增加有关。在英格兰,工作年龄组的相关性强于老年人(HR=1.60,95%CI 1.56,1.64 和 HR=1.26,95%CI 1.25,1.27),而在安大略省,工作年龄组的相关性强于老年人(HR=1.69,95%CI 1.66,1.72 和 HR=1.39,95%CI 1.38,1.40)。疾病数量调节了死亡率的社会经济梯度:患有更多长期疾病的人,梯度越平缓。
在英格兰和安大略省,疾病数量导致了更高的死亡率和死亡率的社会经济不平等。当前的医疗保健系统支离破碎,无法弥补社会经济劣势,导致特别是那些患有多种长期疾病的人预后不佳。进一步的工作应该确定医疗系统如何更好地支持正在努力预防多种长期疾病的发展和改善管理的患者和临床医生,特别是那些生活在社会经济贫困地区的患者。