Page last updated: 22-JAN-2010

Long Term Conditions Programme

 

SPARRA Reports

Link opens in new windowScottish Patients At Risk of Readmission and Admission (age 65 plus) link to an adobe pdf file  [PDF 443KB]

SPARRA is a risk prediction algorithm that predicts an individual's risk of emergency hospital admission in the next 12 months. The first version of SPARRA was aimed at identifying those patients aged 65 and over at greatest risk of emergency admission. This report describes the background to SPARRA's development, the methodology used and technical details of the algorithm.

Link opens in new windowScottish Patients at Risk of Readmission & Admission (all ages)link to an adobe pdf file  [PDF 243KB] 

This paper reports on the extension of the SPARRA risk-stratification tool so it can be applied to patients of all ages. The report includes a description of the methodology used to develop the tool, and summary analysis that examines the tool?s predictive power and provides early indication of the implications when using it to identify patients at high risk of emergency admission.

 

Prevalence and Long Term Conditions Reports

Link opens in new windowLong Term Conditions in Scotland Final Reportlink to an adobe pdf file  [PDF 470KB] 

This report identifies and assesses the main data sources for measuring long term conditions, and uses these to provide estimates of prevalence for major LTCs within the Scottish population.  The report also provides measures of multiple LTCs.    A summary version of the report is also available:Link opens in new windowLong-Term Conditions in Scotland -Summary  link to an adobe pdf file  [PDF 135KB]

 

Other Reports

Link opens in new windowWorking Paper 1 - Trends in rates of emergency inpatient admission among older people in Scotland: a comparative analysis at NHS Board level  link to an adobe pdf file  [PDF 241KB]

This paper provides a descriptive analysis of trends in emergency admissions and presents these at NHS Board level to show differences and similarities.
 


Main contact: Email Peter Martin