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Unlocking Data To Inform Public Health Policy and Practice: Decision-Maker Perspectives on the Use of Cross-Sectoral Data as Part of a Whole-Systems Approach, 2022
Creator
Tweed, E, University of Glasgow
Craig, P, University of Glasgow
Study number / PID
856285 (UKDA)
10.5255/UKDA-SN-856285 (DOI)
Data access
Restricted
Series
Not available
Abstract
Objectives: We sought to work collaboratively with public health stakeholders who use evidence in their work to identify practical ways that cross-sectoral data sharing and linkage could be used to best effect to improve health and reduce health inequalities.
Methods: We undertook three sequential stakeholder workshops with participants from local and central government, public health teams, Health and Social Care Partnerships, the third sector, organisations which support data-intensive research, and public representatives from across Scotland. The workshops were informed by a scoping review on use of evidence in public health policy and practice, searching Medline, Scopus, SSCI, and key institutional websites, and by three case studies of existing cross-sectoral linkage projects.
Details of data collection: The data collection comprises de-identified transcripts of stakeholder workshops and a copy of the visual map produced as part of the workshops. Stakeholders comprised people
We held workshops to bring together people working in public health practice; in policy sectors potentially relevant to health; and in information governance, infrastructure and/or support for data and research; as well as a number of public representatives. Potential attendees were identified through a stakeholder mapping exercise with the project advisory group, followed by review of relevant organisational websites and advice from gatekeeper organisations such as Administrative Data Scotland.Background
Secondary data from different sectors can provide unique insights into the social, environmental, economic, and political determinants of health. This is especially pertinent in the context of whole-systems approaches to public health, which typically combine cross-sectoral collaboration with the application of theoretical insights from systems science. However, sharing and linkage of data between different sectors to inform healthy public policy is still relatively rare. Previous...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
28/06/2021 - 01/03/2022
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Still image
Data collection mode
Three sequential stakeholder workshops, carried out online via Microsoft Teams, with 20 participants. Participants comprised representatives from local and central government, public health teams, Health & Social Care Partnerships, the third sector, organisations which support data-intensive research, and public representatives. Participants were recruited based on stakeholder mapping with the project advisory group, review of relevant organisational websites, and advice from gatekeeper organisations such as Administrative Data Scotland. Each workshop lasted three hours and consisted of a mix of whole group and breakout room activities, including presentations, facilitated discussions, and participatory tools such as live polling. Workshops were supplemented by scoping review and case studies.
Funding information
Grant number
Unknown
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person (sphsu-datasharing@glasgow.ac.uk) for this data collection to request permission to access the data, explaining your reason for wanting access to the data, then contact our Access Helpdesk.