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Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health
- Source :
- Naven, L, Inglis, G, Harris, R, Fergie, G, Teal, G, Phipps, R, Stewart, S, Kelly, L, Hilton, S, Smith, M, McCartney, G, Walsh, D, Tolan, M & Egan, J 2017, ' Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health ', Evidence and Policy . https://doi.org/10.1332/174426417X14987303892451, Evidence & policy : a journal of research, debate and practice
- Publication Year :
- 2018
- Publisher :
- Bristol University Press, 2018.
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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.
- Subjects :
- Medical education
030505 public health
Data collection
evidence
business.industry
Automatic identification and data capture
real-time
Qualitative property
Public relations
Article
Electronic mail
03 medical and health sciences
Identification (information)
0302 clinical medicine
technology
Quota sampling
030212 general & internal medicine
Social determinants of health
0305 other medical science
business
Psychology
Social Sciences (miscellaneous)
policy
Social influence
Subjects
Details
- ISSN :
- 17442656 and 17442648
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Evidence and Policy
- Accession number :
- edsair.doi.dedup.....497fed55965516ace6932d5f8b1b244c