Do directors of public health use PHE data in DPH annual reports?
PHE ePoster Library. Flowers J. Apr 10, 2019; 257464
Julian Flowers
Julian Flowers
Login now to access Regular content available to all registered users.

You may also access this content "anytime, anywhere" with the Free MULTILEARNING App for iOS and Android
Abstract
Rate & Comment (0)
Abstract Introduction
PHE produces a large number of health indicators and data intended for use by local authorities. If these data are to be useful for local authorities we hypothesized that DsPH should be referring to and using these data in annual reports. We set out to try and look at the frequency of use of PHE data in reports.
Methods:
We used a combination of data science techniques to automate the discovery and download of DPH reports from the web, and natural language processing (NLP) to analyse reports en masse. We created a set of keywords to search through the texts to estimate the frequency of referral to PHE data and the 'mention rate' - the proportion of reports containing at least one reference to PHE data. All analysis - web scraping and NLP was conducted using R software.
Results:
We were able to identify and analyse more than 600 reports over several years. There was no single comprehensive repository of reports and even with iterative searching we were unable to find reports for some areas. This involved using automated Google searching on each local authority web site and iterating through identified web-links. Of the reports identified 70% referred to PHE or PHE data. Reviewing those reports not detected as containing references to PHE data revealed that this was often due to their not using formal referencing.
Conclusions:
PHE data is widely referred to and used in DPH reports but is often not formally referenced. It is feasible to develop an automated process using R to identify and review of reports and create a central repository although some manual searching is required to ensure a comprehensive dataset. This approach could be part of assessing the impact of PHE data outputs.
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.


Save Settings