National Segmentation Dataset Incidence Analysis

Incidence rate comparison

Incidence represents the number of newly diagnosed cases of a condition within a specific time period (in this case, 2018/19) per 100,000 people in the population. The graph compares these rates between local linked GP and SUS data (blue bars) and the comprehensive National Segmentation Dataset (red bars), which combines hospital, community, mental health, and some GP data.

Depression shows the highest incidence at approximately 1,200 per 100,000, followed by hypertension and osteoarthritis.

The datasets show similar patterns for many conditions, particularly in well-documented areas like diabetes and mental health, demonstrating the robust nature of the National Segmentation Dataset. Where differences exist, this likely reflects the different ways conditions are coded and captured across care settings.

Comparison between Local ICB Segmentation Dataset (Linked Primary Care and SUS data)
and the same ICB in the National Segmentation Dataset

Incident Rate per 100,000 People

Age at diagnosis comparison

The age at diagnosis represents when people are first identified as having a particular condition. The box-and-whisker plot shows this age distribution, comparing local linked GP and SUS data (blue) with the National Segmentation Dataset (red), which draws from multiple care settings to provide a comprehensive view of diagnosis timing.

Conditions like dementia and heart failure typically show later median age of diagnosis (70-80 years), while conditions like depression and epilepsy show earlier median ages (40-50 years).

The consistency between datasets for many conditions, particularly in chronic diseases like diabetes and COPD, demonstrates the reliability of the National Segmentation Dataset in capturing age at diagnosis. Where variations exist, they often reflect the different pathways through which patients are diagnosed across various healthcare settings.

Comparison between Local ICB Segmentation Dataset (linked Primary Care and SUS data)
and the same ICB in the National Segmentation Dataset

Age at diagnosis