期刊
HEALTH & PLACE
卷 71, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.healthplace.2021.102648
关键词
Health behaviours; Online spatial data visualisation tools; Acceptability; Decision-support; Qualitative methods
资金
- National Institute for Health Research (NIHR) School for Public Health Research (SPHR) [PD-SPH-2015]
- Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence
- British Heart Foundation
- Cancer Research UK
- Economic and Social Research Council
- National Institute for Health Research
- Wellcome Trust under UK Clinical Research Collaboration [MR/K023187/1]
- Medical Research Council [MC_UU_00006/7]
- Medical Research Council
- MRC [MC_UU_00006/7] Funding Source: UKRI
The distribution of food outlets and active travel infrastructure in towns and cities are associated with health behaviors and obesity risk. Decision-makers face barriers in adopting policies to improve public health due to a lack of local data and research evidence. Online spatial data visualization tools created by researchers can help bridge this gap and assist stakeholders in decision-making.
The distribution of food outlets within towns and cities and the provision of active travel infrastructure have been associated with health behaviours that can contribute to obesity risk. Decision-makers describe a lack of local data and research evidence as a barrier to policy adoption to improve the public's health. Online spatial data visualisation tools created by researchers can help to bridge this gap. We explored stakeholder experiences of using such tools for decision-support, with a focus on facilitators and barriers to use. We conducted 16 qualitative interviews with Public Health, Planning and Transport Planning professionals, who had used two recentlydeveloped tools. Participants described the importance of tools being open access; their use in story-telling, particularly to non-experts; and more broadly their use even when imperfect. They expressed that 'robustness' of underpinning data was important, however this was not easily defined. Participants employed personal heuristics, principally based on endorsement and developer credibility, to determine suitability for use. We present key learning points for future developers to maximise engagement and impact.
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