Stroke Briefing

The Chronic Conditions Hub is a website that brings together information on chronic health conditions. It allows you to easily access, manage and share relevant information resources. The Chronic Conditions Hub includes the Institute of Public Health in Ireland’s (IPH) estimates and forecasts of the number of people living with chronic conditions. On the Chronic Conditions Hub you will find: - A Briefing for each condition - Detailed technical documentation - Detailed national and sub-national data that can be downloaded or explored using online data tools - A prevalence tool that allows you to calculate prevalence figures for your population data A stroke happens when blood flow to a part of the brain is interrupted by a blocked or burst blood vessel. A lack of blood supply can damage brain cells and affect body functions. IPH has systematically estimated and forecast the prevalence of stroke on the island of Ireland.   Epidemiology Age, family history, diabetes, high blood pressure, high cholesterol, smoking, unhealthy diet, physical inactivity and alcohol are the main risk factors for stroke. The World Health Organization estimates that stroke and cerebrovascular disease is responsible for 10% of all world deaths and is the second most common cause of death worldwide. Cerebrovascular diseases (ICD 10 codes I60-I69) were responsible for 7.2% of all deaths in the Republic of Ireland in 2009 and for 8.6% of all deaths in Northern Ireland in 2010.

Stroke Briefing: Technical Documentation

A stroke happens when blood flow to a part of the brain is interrupted by a blocked or burst blood vessel. A lack of blood supply can damage brain cells and affect body functions. IPH has systematically estimated and forecast the prevalence of stroke on the island of Ireland. This document details the methods used to calculate these estimates and forecasts. Technical documentation      

Prevalence of chronic conditions – Coronary Heart Disease

IPH has estimated and forecast clinical diagnosis rates of CHD (heart attack and/or angina) among adults for the years 2010, 2015 and 2020. In the Republic of Ireland, the data are based on the Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007 . The data describe the number of people who report that they have experienced doctor-diagnosed heart attack and/or angina in the previous 12 months (annual clinical diagnosis). Data is available by age and sex for each Local Health Office of the Health Service Executive (HSE) in the Republic of Ireland. In Northern Ireland, the data are based on the Health and Social Wellbeing Survey 2005/06 . The data describe the number of people who report that they have experienced doctor-diagnosed heart attack and/or angina at any time in the past (lifetime clinical diagnosis). Data are available by age and sex for each Local Government District in Northern Ireland. Clinical diagnosis rates in the Republic of Ireland relate to the previous 12 months and are not directly comparable with clinical diagnosis rates in Northern Ireland which relate to anytime in the past. The IPH estimated prevalence per cents may be marginally different to estimated prevalence per cents taken directly from the reference study. There are two reasons for this: 1) The IPH prevalence estimates relate to 2010 while the reference studies relate to earlier years (Northern Ireland Health and Social Wellbeing Survey 2005/06, Survey of Lifestyle, Attitudes and Nutrition 2007, Understanding Society 2009). Although we assume that the risk of the condition in the risk groups do not change over time, the distribution of the number of people in the risk groups in the population changes over time (eg the population ages).  This new distribution of the risk groups in the population means that the risk of the condition is weighted differently to the reference study and this results in a different overall prevalence estimate. 2) The IPH prevalence estimates are based on a statistical model of the reference study. The model includes a number of explanatory variables to predict the risk of the condition. Therefore the model does not include records from the reference study that are missing data on these explanatory variables. A prevalence estimate for a condition taken directly from the reference study would include these records.