Clinical Trials Directory

Trials / Unknown

UnknownNCT02609516

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

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

Status
Unknown
Phase
Study type
Observational
Enrollment
1,300,000 (estimated)
Sponsor
University College, London · Academic / Other
Sex
All
Age
45 Years
Healthy volunteers
Accepted

Summary

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?

Detailed description

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.

Conditions

Interventions

TypeNameDescription
OTHERThis is not an intervention studyThis study is based on the retrospective analysis of linked electronic health records.

Timeline

Start date
2015-01-01
Primary completion
2015-09-01
Completion
2017-01-01
First posted
2015-11-20
Last updated
2015-11-20

Locations

1 site across 1 country: United Kingdom

Source: ClinicalTrials.gov record NCT02609516. Inclusion in this directory is not an endorsement.