Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health

Lynn Naven, Greig Inglis, Rachel Harris, Gillian Fergie, Gemma Teal, Rebecca Phipps, Sally Stewart, Lorna Kelly, Shona Hilton, Madeline Smith, Gerry McCartney, David Walsh, Matthew Tolan, James Egan

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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.
Original languageEnglish
JournalEvidence and Policy
DOIs
Publication statusPublished - 18 Jul 2017

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health
stakeholder
data capture
SMS
decision-making process
evidence
website
time
lack
trend

Keywords

  • technology
  • real-time
  • evidence
  • policy

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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. / Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health. In: Evidence and Policy. 2017.
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title = "Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health",
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.",
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note = "Acceptance date from PDF This article is distributed under the terms of the Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/) which permits adaptation, alteration, reproduction and distribution without further permission provided the original work is attributed. The derivative works do not need to be licensed on the same terms.",
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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

Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health. / 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.

In: Evidence and Policy, 18.07.2017.

Research output: Contribution to journalArticle

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T1 - Right Here Right Now (RHRN) pilot study: testing a method of near-real-time data collection on the social determinants of health

AU - Naven, Lynn

AU - Inglis, Greig

AU - Harris, Rachel

AU - Fergie, Gillian

AU - Teal, Gemma

AU - Phipps, Rebecca

AU - Stewart, Sally

AU - Kelly, Lorna

AU - Hilton, Shona

AU - Smith, Madeline

AU - McCartney, Gerry

AU - Walsh, David

AU - Tolan, Matthew

AU - Egan, James

N1 - Acceptance date from PDF This article is distributed under the terms of the Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/) which permits adaptation, alteration, reproduction and distribution without further permission provided the original work is attributed. The derivative works do not need to be licensed on the same terms.

PY - 2017/7/18

Y1 - 2017/7/18

N2 - 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.

AB - 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.

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KW - real-time

KW - evidence

KW - policy

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DO - 10.1332/174426417X14987303892451

M3 - Article

JO - Evidence and Policy

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SN - 1744-2648

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