Unveiling the hidden burden: estimating the proportion of undiagnosed depression, hypertension and diabetes - a modelling study using survey data from adults in England, 2011-2019.

ABSTRACT:

Background

A large proportion of chronic conditions are undiagnosed, preventing early treatment, and leading to poorer outcomes. Understanding how levels of underdiagnosis vary between diseases and population groups over time is crucial for effectively allocating resources and targeting interventions to increase diagnosis rates.

Methods

We used two annual national surveys: the Health Survey for England (cross-sectional) and the UK Household Longitudinal Survey, to identify people with diabetes, hypertension and depression. Diagnosed cases were defined as a self-report of being told by a nurse or doctor as having a condition; undiagnosed cases were defined as those where screening tools used in the survey identified clinical signs of the condition but the individual did not s

SUBMITTER: Barr B 

PROVIDER: S-EPMC12581041 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature