Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health.
Just-in-time adaptive interventions (JITAIs) represent an intervention design that adapts the provision and type of support over time to an individual's changing status and contexts, intending to deliver the right support on the right occasion. As a novel strategy for delivering mobile health interv...
| Publicado en: | American Journal of Public Health Vol. 113; no. 1; pp. 60 - 70 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Public Health Association
Jan2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=160782941&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 160782941 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jan2023 vid: 113 iid: 1 pid: 44 pub: American Public Health Association artinfo: ui: 160782941 10.2105/ajph.2022.307150 ppf: 60 ppct: 10 formats: tig: atl: Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health. aug: au: Liu, Xueqing Deliu, Nina Chakraborty, Bibhas su: Health services accessibility Public health Randomized controlled trials Psychological adaptation Health equity Experimental design Statistical sampling sug: subj: Health services accessibility Public health Randomized controlled trials Psychological adaptation Health equity Health and Welfare Funds Marketing Research and Public Opinion Polling Experimental design Statistical sampling ab: Just-in-time adaptive interventions (JITAIs) represent an intervention design that adapts the provision and type of support over time to an individual's changing status and contexts, intending to deliver the right support on the right occasion. As a novel strategy for delivering mobile health interventions, JITAIs have the potential to improve access to quality care in underserved communities and, thus, alleviate health disparities, a significant public health concern. Valid experimental designs and analysis methods are required to inform the development of JITAIs. Here, we briefly review the cutting-edge design of microrandomized trials (MRTs), covering both the classical MRT design and its outcome-adaptive counterpart. Associated statistical challenges related to the design and analysis of MRTs are also discussed. Two case studies are provided to illustrate the aforementioned concepts and designs throughout the article. We hope our work leads to better design and application of JITAIs, advancing public health research and practice. (Am J Public Health. 2023;113(1):60–69. https://doi.org/10.2105/AJPH.2022.307150) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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