Publications by authors named "Jan Rigby"

Objective: Resuscitation from out-of-hospital cardiac arrest (OHCA) is largely determined by the availability of cardiopulmonary resuscitation (CPR) and defibrillation within 5-10 min of collapse. The potential contribution of organised groups of volunteers to delivery of CPR and defibrillation in their communities has been little studied. Ireland has extensive networks of such volunteers; this study develops and tests a model to examine the potential impact at national level of these networks on early delivery of care.

View Article and Find Full Text PDF

Objectives: To investigate the relationship between area-level deprivation and risk of cognitive dysfunction.

Design: Cross-sectional analysis.

Setting: The Trinity, Ulster, and Department of Agriculture (TUDA) study from 2008 to 2012.

View Article and Find Full Text PDF

Approximately 1.2 billion individuals worldwide live in extreme poverty (< $1/d), and 2.7 billion live in moderate poverty (< $2/d).

View Article and Find Full Text PDF

Background And Objectives: Low socioeconomic status (SES) is associated with both development and progression of chronic kidney disease (CKD). The impact of SES on severity of CKD at presentation to a renal service is less well known. This study investigated the relationship between SES and severity of CKD in a retrospective, cross-sectional analysis involving 1657 patients at the Sheffield Kidney Institute (Sheffield, UK).

View Article and Find Full Text PDF

Objective: To monitor geographical inequalities in health in New Zealand during the period 1980 to 2001, a time of rapid social and economic change in society.

Methods: Age-standardised mortality rates were calculated using mortality records aggregated to a consistent set of geographical areas (the 2001 District Health Boards) for the periods 1980-82, 1985-87, 1990-92, 1995-97 and 1999-2001. In addition, the Relative Index of Inequality (RII) was calculated for each period to provide a robust measure of mortality rates over time.

View Article and Find Full Text PDF

The paper presents a spatial microsimulation approach to the analysis of health inequalities. A dynamic spatial microsimulation model of Britain, under development at the Universities of Leeds and Sheffield, uses data from the censuses of 1971, 1981 and 1991 and the British Household Panel Survey to simulate urban and regional populations in Britain. Geographical information systems and spatial microsimulation are used for the analysis of health inequalities in British regions in a 30 year simulation.

View Article and Find Full Text PDF