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Feasibility, acceptability and validity of SMS text messaging for measuring change in depression during a randomised controlled trial

Overview of attention for article published in BMC Psychiatry, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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10 X users
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5 Facebook pages

Citations

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38 Dimensions

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170 Mendeley
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Title
Feasibility, acceptability and validity of SMS text messaging for measuring change in depression during a randomised controlled trial
Published in
BMC Psychiatry, April 2015
DOI 10.1186/s12888-015-0456-3
Pubmed ID
Authors

Stewart J Richmond, Ada Keding, Magdalene Hover, Rhian Gabe, Ben Cross, David Torgerson, Hugh MacPherson

Abstract

Despite widespread popularity, text messaging has rarely been used for data collection in clinical research. This paper reports on the development, feasibility, acceptability, validity, and discriminant utility of a single item depression rating scale, delivered weekly via an automated SMS system, as part of a large randomised controlled trial. 755 depressed patients (BDI-II score ≥20) were recruited from primary care into a randomised trial of acupuncture versus counselling or usual care, and invited to opt into a repeated-measures text messaging sub-study. Two weeks following random allocation, trial participants were sent a weekly text message for 15 weeks. Texts were a single question asking, on a scale from 1 to 9, the extent to which they felt depressed. Feasibility and acceptability of the automated SMS system were evaluated according to cost, ease of implementation, proportion consenting, response rates, and qualitative feedback. Concurrent validity was estimated by correlating SMS responses with the Patient Health Questionnaire (PHQ-9). SMS responses were compared between groups over time to explore treatment effects. 527 (69.8%) trial participants consented to the texting sub-study, of whom 498 (94.5%) responded to at least one message. Participants provided a valid response to an average of 12.5 messages. Invalid responses accounted for 1.1% of texts. The automated SMS system was quick to set-up, inexpensive, and well received. Comparison of PHQ-9 and SMS responses at 3 months demonstrated a moderate to high degree of agreement (Kendall's tau-b = 0.57, p < 0.0001, n = 220). SMS depression scores over the 15 weeks differed significantly between trial arms (p = 0.007), with participants allocated to the acupuncture and counselling arms reporting improved depression outcomes compared to usual GP care alone, which reached statistical significance ten weeks after randomisation. Overall, the single item SMS scale also appeared more responsive to changes in depression, resulting from treatment, than the PHQ-9. Automated SMS systems offer a feasible and acceptable means of monitoring depression within clinical research. This study provides clear evidence to support the regular use of a simple SMS scale as a sensitive and valid outcome measure of depression within future randomised controlled trials. Current Controlled Trials - ISRCTN63787732 http://www.controlled-trials.com/ISRCTN63787732/ACUDEP Date of registration: 15/12/2009.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 1 <1%
Sweden 1 <1%
Canada 1 <1%
Unknown 164 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 22%
Student > Bachelor 28 16%
Student > Ph. D. Student 22 13%
Student > Master 17 10%
Student > Doctoral Student 10 6%
Other 29 17%
Unknown 26 15%
Readers by discipline Count As %
Medicine and Dentistry 45 26%
Psychology 30 18%
Nursing and Health Professions 14 8%
Social Sciences 11 6%
Computer Science 7 4%
Other 31 18%
Unknown 32 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2015.
All research outputs
#4,415,480
of 24,875,365 outputs
Outputs from BMC Psychiatry
#1,692
of 5,272 outputs
Outputs of similar age
#51,943
of 269,594 outputs
Outputs of similar age from BMC Psychiatry
#22
of 92 outputs
Altmetric has tracked 24,875,365 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.