Literature DB >> 24972761

Short message service text messaging was feasible as a tool for data collection in a trial of treatment for irritable bowel syndrome.

Sally Brabyn1, Joy Adamson2, Hugh MacPherson2, Helen Tilbrook2, David J Torgerson2.   

Abstract

OBJECTIVES: To examine the feasibility of collecting data relating to irritable bowel syndrome (IBS), symptoms by short message service (SMS) text and explore the data to assess its usefulness. STUDY DESIGN AND
SETTING: In a randomized parallel group design substudy, 59 consenting participants recruited from primary care to a trial of acupuncture for IBS (ISRCTN 08827905) were randomized to receive a one-question SMS message at either 9:30 am or at 6:30 pm for 7 days: "On a scale of 0-9, with 0 being no symptoms and 9 being the worst symptoms you could have, how would you score your IBS symptoms now? Please text back a single number."
RESULTS: Of the total messages, 59% (n = 203) were answered within 15 minutes, 73.4% (n = 254) within 1 hour, and 97% (n = 334) within 10 hours. Response rates to evening texts were higher (93.5% vs. 87.6% P = 0.05) and response times shorter though not significantly (median: 0 vs. 5 hours; P = 0.12). There was no difference in mean scores, and morning symptoms varied more. Mean scores correlated significantly with IBS trial primary outcome measure, the IBS symptom severity score, and secondary outcome measures.
CONCLUSION: Among IBS trial participants, data collection by SMS is feasible and acceptable, and there is potential for deriving meaningful data from the scores.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data collection; Irritable bowel syndrome; Missing data; Short message service (SMS); Symptom mapping; Text message

Mesh:

Year:  2014        PMID: 24972761     DOI: 10.1016/j.jclinepi.2014.05.004

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

1.  An embedded randomised controlled retention trial of personalised text messages compared to non-personalised text messages in an orthopaedic setting.

Authors:  Alex S Mitchell; Liz Cook; Alexandra Dean; Caroline Fairhurst; Matthew Northgraves; David J Torgerson; Mike Reed
Journal:  F1000Res       Date:  2020-06-11

2.  Effectiveness of Using Mobile Phone Image Capture for Collecting Secondary Data: A Case Study on Immunization History Data Among Children in Remote Areas of Thailand.

Authors:  Kasemsak Jandee; Jaranit Kaewkungwal; Amnat Khamsiriwatchara; Saranath Lawpoolsri; Waranya Wongwit; Peerawat Wansatid
Journal:  JMIR Mhealth Uhealth       Date:  2015-07-20       Impact factor: 4.773

3.  Validity of single item responses to short message service texts to monitor depression: an mHealth sub-study of the UK ACUDep trial.

Authors:  Ada Keding; Jan R Böhnke; Tim J Croudace; Stewart J Richmond; Hugh MacPherson
Journal:  BMC Med Res Methodol       Date:  2015-07-30       Impact factor: 4.615

4.  Searching for the optimal measuring frequency in longitudinal studies -- an example utilizing short message service (SMS) to collect repeated measures among patients with low back pain.

Authors:  Iben Axén; Lennart Bodin
Journal:  BMC Med Res Methodol       Date:  2016-09-13       Impact factor: 4.615

5.  Acceptability of dietary and physical activity lifestyle modification for men following radiotherapy or radical prostatectomy for localised prostate cancer: a qualitative investigation.

Authors:  Lucy E Hackshaw-McGeagh; Eileen Sutton; Raj Persad; Jonathan Aning; Amit Bahl; Anthony Koupparis; Chris Millett; Richard M Martin; J Athene Lane
Journal:  BMC Urol       Date:  2017-10-10       Impact factor: 2.264

6.  An evaluation of a personalised text message reminder compared to a standard text message on postal questionnaire response rates: an embedded randomised controlled trial.

Authors:  Ann Cochrane; Charlie Welch; Caroline Fairhurst; Sarah Cockayne; David J Torgerson
Journal:  F1000Res       Date:  2020-02-26

7.  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

  7 in total

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