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Impact of Socioeconomic Inequalities in Transition Between Health, Multimorbidity and Death Amongst Older People

2015年11月17日 更新者:Harry Hemingway、University College, London

What is the Impact of Socioeconomic Inequalities in the Rates of Transition Between Health, Multimorbidity and Death Amongst Older People in England?

Life expectancy at age 65 in the most deprived fifth of the English population was about 4 years shorter than of the most affluent fifth in 2010. The inverse gradient between mortality and social position is well established. But how disease patterns and multimorbidity (having two or more long term conditions at the same time) impact on differential mortality rates is inconclusive: is it because disadvantaged groups acquire more or more lethal combinations of, diseases over their life course; or, simply, become ill at ages younger than more affluent groups?

研究概览

地位

未知

条件

详细说明

The association between social inequality and cause-specific mortality and single disease morbidity has been studied extensively. However, it remains unclear whether having two or more chronic diseases concurrently (or 'multimorbidity') plays a role in contributing to the inequalities gap in survival. This is particularly relevant given an ageing population and the trend of a widening in the life expectancy gap across several European countries.

Multimorbidity incidence increases rapidly with age. Estimates of the prevalence of multimorbidity in older people range from 55% to 98%, mainly due to the selection of diseases included, population coverage (hospital, community) and data source (self-reported surveys or clinical records). However, across all studies there is a clear and consistent pattern of higher prevalence rates at older ages, with multimorbidity.

Many aspects of the patient health trajectory remain under-explored. Patient case-mixes are likely to vary across socioeconomic groups, alongside a host of prognostic factors, including the clustering of multiple risk factors, age of onset, and disease presentation, progression and management in the presence of multiple health conditions.

研究类型

观察性的

注册 (预期的)

1300000

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

      • London、英国、WC1 E7H
        • University College London

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

45年 及以上 (成人、年长者)

接受健康志愿者

是的

有资格学习的性别

全部

取样方法

非概率样本

研究人群

Patients included in the CALIBER dataset.

描述

Inclusion Criteria:

  • Registered with a participating practice that has agreed to data linkage
  • Registered with an 'up to standard' participating general practice for at least 1 year
  • Aged 45 and over on Jan 1st 2001 or who turn 45 between 1st Jan 2001 and 25th March 2010, irrespective of initial health status.

Exclusion Criteria:

  • Patients with a record unlinked to deprivation due to missing or incomplete postcode of residence.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
Healthy
Patients without any of the pre-specified chronic diseases
This study is based on the retrospective analysis of linked electronic health records.
Multimorbid
Patients having any two or more of the pre-specified chronic diseases
This study is based on the retrospective analysis of linked electronic health records.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Yearly multimorbidity incidence rate
大体时间:10 years

Numerator: Of patients with either 0 or 1 chronic diseases as on 1st Jan of the year, all those who become multimorbid by 31st Dec of the year.

Denominator: patient years at risk of patients with either 0 or 1 chronic diseases as on 1st Jan of the year

10 years
Yearly multimorbidity prevalence
大体时间:10 years
Numerator: all those with 2 or more listed diseases on 1st July of the year. Denominator: All eligible patients on 1st July of the year, irrespective of disease status on that date.
10 years
Yearly all-cause mortality rates
大体时间:10 years

Numerator: number of deaths until 31st Dec of the year amongst the patients included in the denominator.

Denominator: Person years at risk of patients with 0,1,2 or more diseases on 1st Jan of the year.

10 years
Overall life expectancy
大体时间:10 years
Incident rates of transitions between no disease, 1 disease, 2+ diseases, and death.
10 years
Health state-specific life expectancies
大体时间:10 years
Incident rates of transitions between four health states - no disease, 1 disease, 2+ diseases, and death.
10 years

次要结果测量

结果测量
措施说明
大体时间
Yearly non-accidental mortality rates
大体时间:10 years
As outcome 3 but excluding accidental deaths from the numerator
10 years

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 研究主任:Madhavi Bajekal, PhD、University College, London

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2015年1月1日

初级完成 (实际的)

2015年9月1日

研究完成 (预期的)

2017年1月1日

研究注册日期

首次提交

2015年11月17日

首先提交符合 QC 标准的

2015年11月17日

首次发布 (估计)

2015年11月20日

研究记录更新

最后更新发布 (估计)

2015年11月20日

上次提交的符合 QC 标准的更新

2015年11月17日

最后验证

2015年11月1日

更多信息

与本研究相关的术语

其他研究编号

  • 14_179

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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