Scottish Centre for Telehealth and Telecare

Optimising Remote Monitoring & Long Term Conditions Projections

Predicted Prevalence of Long Term Conditions in Scotland 2014 – 2029

The report and associated documents in this section were produced in collaboration with NSS ISD. It provides information about the predicted prevalence of COPD, Diabetes, Heart Failure and Hypertension in the population of Scotland.

This information can be used for business case development and service planning purposes. It is made up from several stand-alone components:

  • Summary Report: Anticipating Service Demand: Projected Prevalence of Specific Long Term Conditions in Scotland. This document provides an overview and summary of predictions along with a high-level analysis, observations and conclusions. It contains graphs of the data provided in the accompanying projection tables.
  • National projections tables: These workbooks provide details on methodology, projection results, prevalence rates, prevalence period and age along with information about data sources and definitions. Separate analyses for male and female populations are provided.

Females

COPD Predictions

Diabetes Type 1 Predictions

Diabetes Type 2 Predictions

Heart Failure Predictions

Hypertension Predictions

Males

COPD Predictions

Diabetes Type 1 Predictions

Diabetes Type 2 Predictions

Heart Failure Predictions

Hypertension Predictions

  • Board projections tables: These workbooks provide breakdowns of each condition by each Health Board’s male and female populations in graphs and table format. An age breakdown by Health Board is also provided in table format.

Health Board Level – all conditions

Health Board Level – age group level all conditions

  • Slide Deck: A copy of the graphs provided in the briefing note listed above have been reproduced in PowerPoint format.
  • Poster: NSS ISD have developed a poster presentation of their work which was showcased at the Faculty for Public Health Conference.
  • Technical report: This provides technical information designed to help with interpretation of the projections. It also provides details about; data sources and quality. Along with information about the method and models used.

 

For more information, please contact Michelle Brogan – Michelle.Brogan@nhs24.scot.nhs.uk

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