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Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study

BACKGROUND: Mobile phones offer new opportunities to efficiently and interactively collect real-time data from patients with acute illnesses, such as urinary tract infections (UTIs). One of the main benefits of using mobile data collection methods is automated data upload, which can reduce the chanc...

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Autores principales: Duane, Sinead, Tandan, Meera, Murphy, Andrew W, Vellinga, Akke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424123/
https://www.ncbi.nlm.nih.gov/pubmed/28442451
http://dx.doi.org/10.2196/resprot.6389
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author Duane, Sinead
Tandan, Meera
Murphy, Andrew W
Vellinga, Akke
author_facet Duane, Sinead
Tandan, Meera
Murphy, Andrew W
Vellinga, Akke
author_sort Duane, Sinead
collection PubMed
description BACKGROUND: Mobile phones offer new opportunities to efficiently and interactively collect real-time data from patients with acute illnesses, such as urinary tract infections (UTIs). One of the main benefits of using mobile data collection methods is automated data upload, which can reduce the chance of data loss, an issue when using other data collection methods such as paper-based surveys. OBJECTIVE: The aim was to explore differences in collecting data from patients with UTI using text messaging, a mobile phone app (UTI diary), and an online survey. This paper provides lessons learned from integrating mobile data collection into a randomized controlled trial. METHODS: Participants included UTI patients consulting in general practices that were participating in the Supporting the Improvement and Management of UTI (SIMPle) study. SIMPle was designed to improve prescribing antimicrobial therapies for UTI in the community. Patients were invited to reply to questions regarding their UTI either via a prospective text message survey, a mobile phone app (UTI diary), or a retrospective online survey. Data were collected from 329 patients who opted in to the text message survey, 71 UTI patients through the mobile phone UTI symptom diary app, and 91 online survey participants. RESULTS: The age profile of UTI diary app users was younger than that of the text message and online survey users. The largest dropout for both the text message survey respondents and UTI diary app users was after the initial opt-in message; once the participants completed question 1 of the text message survey or day 2 in the UTI diary app, they were more likely to respond to the remaining questions/days. CONCLUSIONS: This feasibility study highlights the potential of using mobile data collection methods to capture patient data. As well as improving the efficiency of data collection, these novel approaches highlight the advantage of collecting data in real time across multiple time points. There was little variation in the number of patients responding between text message survey, UTI diary, and online survey, but more patients participated in the text message survey than the UTI diary app. The choice between designing a text message survey or UTI diary app will depend on the age profile of patients and the type of information the researchers’ desire. TRIAL REGISTRATION: ClinicalTrials.gov NCT01913860; https://clinicaltrials.gov/ct2/show/NCT01913860 (Archived by WebCite at http://www.webcitation.org/6pfgCztgT).
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spelling pubmed-54241232017-05-17 Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study Duane, Sinead Tandan, Meera Murphy, Andrew W Vellinga, Akke JMIR Res Protoc Original Paper BACKGROUND: Mobile phones offer new opportunities to efficiently and interactively collect real-time data from patients with acute illnesses, such as urinary tract infections (UTIs). One of the main benefits of using mobile data collection methods is automated data upload, which can reduce the chance of data loss, an issue when using other data collection methods such as paper-based surveys. OBJECTIVE: The aim was to explore differences in collecting data from patients with UTI using text messaging, a mobile phone app (UTI diary), and an online survey. This paper provides lessons learned from integrating mobile data collection into a randomized controlled trial. METHODS: Participants included UTI patients consulting in general practices that were participating in the Supporting the Improvement and Management of UTI (SIMPle) study. SIMPle was designed to improve prescribing antimicrobial therapies for UTI in the community. Patients were invited to reply to questions regarding their UTI either via a prospective text message survey, a mobile phone app (UTI diary), or a retrospective online survey. Data were collected from 329 patients who opted in to the text message survey, 71 UTI patients through the mobile phone UTI symptom diary app, and 91 online survey participants. RESULTS: The age profile of UTI diary app users was younger than that of the text message and online survey users. The largest dropout for both the text message survey respondents and UTI diary app users was after the initial opt-in message; once the participants completed question 1 of the text message survey or day 2 in the UTI diary app, they were more likely to respond to the remaining questions/days. CONCLUSIONS: This feasibility study highlights the potential of using mobile data collection methods to capture patient data. As well as improving the efficiency of data collection, these novel approaches highlight the advantage of collecting data in real time across multiple time points. There was little variation in the number of patients responding between text message survey, UTI diary, and online survey, but more patients participated in the text message survey than the UTI diary app. The choice between designing a text message survey or UTI diary app will depend on the age profile of patients and the type of information the researchers’ desire. TRIAL REGISTRATION: ClinicalTrials.gov NCT01913860; https://clinicaltrials.gov/ct2/show/NCT01913860 (Archived by WebCite at http://www.webcitation.org/6pfgCztgT). JMIR Publications 2017-04-25 /pmc/articles/PMC5424123/ /pubmed/28442451 http://dx.doi.org/10.2196/resprot.6389 Text en ©Sinead Duane, Meera Tandan, Andrew W Murphy, Akke Vellinga. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 25.04.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Duane, Sinead
Tandan, Meera
Murphy, Andrew W
Vellinga, Akke
Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title_full Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title_fullStr Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title_full_unstemmed Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title_short Using Mobile Phones to Collect Patient Data: Lessons Learned From the SIMPle Study
title_sort using mobile phones to collect patient data: lessons learned from the simple study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424123/
https://www.ncbi.nlm.nih.gov/pubmed/28442451
http://dx.doi.org/10.2196/resprot.6389
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