Joint Strategic Needs Assessment (JSNA): The APHO resource pack

YHPHO has become part of Public Health England, joining its Knowledge and Intelligence Team (Northern and Yorkshire).

This page is an historical archive only.

Commissioned by the Department of Health, APHO has been reviewing the data and information needs of the JSNA process. This work has resulted in the five-part APHO Resource Pack published in 2008:

  1. JSNA core dataset (or via 'Core Dataset' link from the DH JSNA site)

    The Core Dataset now contains additional National Indicators and Vital Signs (the NHS equivalent). For each indicator, we either supply a definition and suggest possible data sources, or else refer the reader to the official Handbook of Definitions for National Indicators.

  2. Statistical validity (or via 'Useful links' from the DH JSNA site)

    This guidance lifts the lid on some of the statistical issues which are liable to crop up in a JSNA, such as:

    • Confidence Intervals
    • Statistical Significance
    • Small Numbers Problem
    • Synthetic Estimates
    • Ecological Fallacy
    • Multiple Comparisons
    • League Tables
    • Regression to the Mean


  3. Projection methods for use in JSNA (or via 'Useful links' from the DH JSNA site)

    An important aspect of JSNA is being able to predict levels of need 3-5 years ahead. This document signposts you to existing forecasts from official and other sources, and advises on the best choice of methodology and data to enable you to produce your own.

  4. Data sharing for JSNA (or via 'Useful links' from the DH JSNA site)

    Data sharing between partners is essential to the success of JSNA, but must be undertaken in compliance with the relevant legislation and principles of good practice. These guidelines show you how to approach this tricky issue safely and effectively.

  5. Measuring health inequalities (or via 'Useful links' from the DH JSNA site)

    JSNA encourages us to focus upon the inequalities in the local area, and identify those groups who are getting a 'raw deal'. The guidance on Measuring Health Inequalities explains how to:

    • Understand the terminology of inequality
    • Choose a suitable geographical unit of analysis
    • Display and interpret inequalities graphically
    • Calculate absolute and relative gaps
    • Interpret more sophisticated inequality measures
Last Updated: Thursday, 11th April 2013

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