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Comparison of an interactive voice response system and smartphone application in the identification of gout flares
OBJECTIVE: To examine the feasibility, preference, and satisfaction of an interactive voice response (IVR) system versus a customized smartphone application (StudyBuddy) to capture gout flares METHODS: In this 24-week prospective, randomized, crossover, open-label pilot study, 44 gout patients were...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599289/ https://www.ncbi.nlm.nih.gov/pubmed/31255174 http://dx.doi.org/10.1186/s13075-019-1944-5 |
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author | Elmagboul, Nada Coburn, Brian W. Foster, Jeffrey Mudano, Amy Melnick, Joshua Bergman, Debra Yang, Shuo Redden, David Chen, Lang Filby, Cooper Curtis, Jeffrey R. Mikuls, Ted R. Saag, Kenneth G. |
author_facet | Elmagboul, Nada Coburn, Brian W. Foster, Jeffrey Mudano, Amy Melnick, Joshua Bergman, Debra Yang, Shuo Redden, David Chen, Lang Filby, Cooper Curtis, Jeffrey R. Mikuls, Ted R. Saag, Kenneth G. |
author_sort | Elmagboul, Nada |
collection | PubMed |
description | OBJECTIVE: To examine the feasibility, preference, and satisfaction of an interactive voice response (IVR) system versus a customized smartphone application (StudyBuddy) to capture gout flares METHODS: In this 24-week prospective, randomized, crossover, open-label pilot study, 44 gout patients were randomized to IVR vs. StudyBuddy and were crossed over to the other technology after 12 weeks. Flares were reported via weekly (and later daily) scheduled StudyBuddy or IVR queries. Feasibility was ascertained via response rate to scheduled queries. At 12 and 24 weeks, participants completed preference/satisfaction surveys. Preference and satisfaction were assessed using dichotomous or ordinal questions. Sensitivity was assessed by the frequency of flare reporting with each approach. RESULTS: Thirty-eight of 44 participants completed the study. Among completers, feasibility was similar for IVR (81%) and StudyBuddy (80%). Conversely, most (74%) preferred StudyBuddy. Measures of satisfaction (ease of use, preference over in-person clinic visits, and willingness for future use) were similar between the IVR and StudyBuddy; however, more participants deemed the StudyBuddy as convenient (95% vs. 73%, P = 0.01) and less disruptive (97% vs. 82%, P = 0.03). Although the per patient number of weeks in flare was not significantly different (mean 3.4 vs. 2.6 weeks/patient, P = 0.15), the StudyBuddy captured more of the total flare weeks (35%) than IVR (27%, P = 0.02). CONCLUSION: A smartphone application and IVR demonstrated similar feasibility but overall sensitivity to capture gout flares and participant preference were greater for the smartphone application. Participant preference for the smartphone application appeared to relate to perceptions of greater convenience and lower disruption. TRIAL REGISTRATION: NCT, NCT02855437. Registered 4 August 2016 |
format | Online Article Text |
id | pubmed-6599289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65992892019-07-11 Comparison of an interactive voice response system and smartphone application in the identification of gout flares Elmagboul, Nada Coburn, Brian W. Foster, Jeffrey Mudano, Amy Melnick, Joshua Bergman, Debra Yang, Shuo Redden, David Chen, Lang Filby, Cooper Curtis, Jeffrey R. Mikuls, Ted R. Saag, Kenneth G. Arthritis Res Ther Research Article OBJECTIVE: To examine the feasibility, preference, and satisfaction of an interactive voice response (IVR) system versus a customized smartphone application (StudyBuddy) to capture gout flares METHODS: In this 24-week prospective, randomized, crossover, open-label pilot study, 44 gout patients were randomized to IVR vs. StudyBuddy and were crossed over to the other technology after 12 weeks. Flares were reported via weekly (and later daily) scheduled StudyBuddy or IVR queries. Feasibility was ascertained via response rate to scheduled queries. At 12 and 24 weeks, participants completed preference/satisfaction surveys. Preference and satisfaction were assessed using dichotomous or ordinal questions. Sensitivity was assessed by the frequency of flare reporting with each approach. RESULTS: Thirty-eight of 44 participants completed the study. Among completers, feasibility was similar for IVR (81%) and StudyBuddy (80%). Conversely, most (74%) preferred StudyBuddy. Measures of satisfaction (ease of use, preference over in-person clinic visits, and willingness for future use) were similar between the IVR and StudyBuddy; however, more participants deemed the StudyBuddy as convenient (95% vs. 73%, P = 0.01) and less disruptive (97% vs. 82%, P = 0.03). Although the per patient number of weeks in flare was not significantly different (mean 3.4 vs. 2.6 weeks/patient, P = 0.15), the StudyBuddy captured more of the total flare weeks (35%) than IVR (27%, P = 0.02). CONCLUSION: A smartphone application and IVR demonstrated similar feasibility but overall sensitivity to capture gout flares and participant preference were greater for the smartphone application. Participant preference for the smartphone application appeared to relate to perceptions of greater convenience and lower disruption. TRIAL REGISTRATION: NCT, NCT02855437. Registered 4 August 2016 BioMed Central 2019-06-29 2019 /pmc/articles/PMC6599289/ /pubmed/31255174 http://dx.doi.org/10.1186/s13075-019-1944-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Elmagboul, Nada Coburn, Brian W. Foster, Jeffrey Mudano, Amy Melnick, Joshua Bergman, Debra Yang, Shuo Redden, David Chen, Lang Filby, Cooper Curtis, Jeffrey R. Mikuls, Ted R. Saag, Kenneth G. Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title | Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title_full | Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title_fullStr | Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title_full_unstemmed | Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title_short | Comparison of an interactive voice response system and smartphone application in the identification of gout flares |
title_sort | comparison of an interactive voice response system and smartphone application in the identification of gout flares |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599289/ https://www.ncbi.nlm.nih.gov/pubmed/31255174 http://dx.doi.org/10.1186/s13075-019-1944-5 |
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