Literature DB >> 25847724

The validity and acceptability of a text-based monitoring system for pediatric asthma studies.

Florian Gahleitner1, Julian Legg1, Emma Holland1, Sarah Pearson1, Graham Roberts1,2.   

Abstract

A meaningful analysis in research requires robust, valid data. Paper diaries allow the collection of data from individuals over time but are notorious for poor compliance and validity. SMS-technology is a novel method for data collection in medical research. Time-tagged SMS are transferred directly to an electronic file. We used SMS to collect symptoms and peak flow rate (PEFR) meter readings from 32 children with asthma. Parents responded first to five SMS daily for 7 days during an asymptomatic period and then for 14 days during a cold. Compliance with use of PEFR meter and SMS system were assessed. Digital PEFR meters enabled data download at the end of the study to confirm validity of transmitted data. Parents of 24 participants provided feedback about this data collection tool. Mean (±SD) "SMS-diary and PEFR-meter compliance" were 96% (±8) and 84% (±21) during baseline and 91% (±12) and 82% (±20) during cold respectively. Correctly reported PEFR values were found in 65.5% of all cases, in 8.3% PEFR values sent were "self-invented" and 2.4% of values were missing. All of the 22 parents completing the baseline questionnaire were happy to use SMS for this study. Of the 20 parents completing the follow up questionnaire, 95% (19/20) found the system user-friendly, 55% (11/20) would be more likely to participate in studies if they were using SMS data collection and 25% (5/20) were "sometimes unhappy" about receiving messages. This real-time capture of data is well accepted and could avoid some of the pitfalls of backfilled paper diaries.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  SMS; clinical research; pediatric lung diseases; telemonitoring

Mesh:

Year:  2015        PMID: 25847724     DOI: 10.1002/ppul.23200

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


  3 in total

1.  An Automated Text-Messaging Platform for Enhanced Retention and Data Collection in a Longitudinal Birth Cohort: Cohort Management Platform Analysis.

Authors:  Caroline M Barry; Aditi Sabhlok; Victoria C Saba; Alesha D Majors; Julia C Schechter; Erica L Levine; Martin Streicher; Gary G Bennett; Scott H Kollins; Bernard F Fuemmeler
Journal:  JMIR Public Health Surveill       Date:  2019-04-02

2.  Biomedical REAl-Time Health Evaluation (BREATHE): toward an mHealth informatics platform.

Authors:  Alex A T Bui; Anahita Hosseini; Rose Rocchio; Nate Jacobs; Mindy K Ross; Sande Okelo; Fred Lurmann; Sandrah Eckel; Eldin Dzubur; Genevieve Dunton; Frank Gilliland; Majid Sarrafzadeh; Rima Habre
Journal:  JAMIA Open       Date:  2020-05-07

3.  Best practices for collecting repeated measures data using text messages.

Authors:  Noa'a Shimoni; Siripanth Nippita; Paula M Castaño
Journal:  BMC Med Res Methodol       Date:  2020-01-03       Impact factor: 4.615

  3 in total

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