Back to Search Start Over

Right Here Right Now (RHRN) Pilot Study: Testing a Method of Near-Real-Time Data Collection on the Social Determinants of Health

Authors :
Naven, Lynn
Inglis, Greig
Harris, Rachel
Fergie, Gillian
Teal, Gemma
Phipps, Rebecca
Stewart, Sally
Kelly, Lorna
Hilton, Shona
Smith, Madeline
McCartney, Gerry
Walsh, David
Tolan, Matthew
Egan, James
Source :
Evidence & Policy: A Journal of Research, Debate and Practice. May 2018 14(2):301-321.
Publication Year :
2018

Abstract

Background: Informing policy and practice with up-to-date evidence on the social determinants of health is an ongoing challenge. One limitation of traditional approaches is the time-lag between identification of a policy or practice need and availability of results. The Right Here Right Now (RHRN) study piloted a near-real-time data-collection process to investigate whether this gap could be bridged. Methods: A website was developed to facilitate the issue of questions, data capture and presentation of findings. Respondents were recruited using two distinct methods--a clustered random probability sample, and a quota sample from street stalls. Weekly four-part questions were issued by email, Short Messaging Service (SMS or text) or post. Quantitative data were descriptively summarised, qualitative data thematically analysed, and a summary report circulated two weeks after each question was issued. The pilot spanned 26 weeks. Results: It proved possible to recruit and retain a panel of respondents providing quantitative and qualitative data on a range of issues. The samples were subject to similar recruitment and response biases as more traditional data-collection approaches. Participants valued the potential to influence change, and stakeholders were enthusiastic about the findings generated, despite reservations about the lack of sample representativeness. Stakeholders acknowledged that decision-making processes are not flexible enough to respond to weekly evidence. Conclusion: RHRN produced a process for collecting near-real-time data for policy-relevant topics, although obtaining and maintaining representative samples was problematic. Adaptations were identified to inform a more sustainable model of near-real-time data collection and dissemination in the future.

Details

Language :
English
ISSN :
1744-2648
Volume :
14
Issue :
2
Database :
ERIC
Journal :
Evidence & Policy: A Journal of Research, Debate and Practice
Publication Type :
Academic Journal
Accession number :
EJ1182747
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1332/174426417X14987303892451