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DIAMOND (DIgital Alcohol Management ON Demand): a feasibility RCT and embedded process evaluation of a digital health intervention to reduce hazardous and harmful alcohol use recruiting in hospital…

Overview of attention for article published in Pilot and Feasibility Studies, June 2018
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
DIAMOND (DIgital Alcohol Management ON Demand): a feasibility RCT and embedded process evaluation of a digital health intervention to reduce hazardous and harmful alcohol use recruiting in hospital emergency departments and online
Published in
Pilot and Feasibility Studies, June 2018
DOI 10.1186/s40814-018-0303-7
Pubmed ID
Authors

Fiona L. Hamilton, Jo Hornby, Jessica Sheringham, Stuart Linke, Charlotte Ashton, Kevin Moore, Fiona Stevenson, Elizabeth Murray

Abstract

The harmful use of alcohol is a causal factor in more than 200 disease and injury conditions and leads to over 3 million deaths every year worldwide. Relatively few problem alcohol users access treatment due to stigma and lack of services. Alcohol-specific digital health interventions (DHI) may help them, but trial data comparing DHI with face-to-face treatment are lacking. We conducted a feasibility RCT of an alcohol DHI, testing recruitment, online data-collection and randomisation processes, with an embedded process evaluation. Recruitment ran from October 2015 for 12 months. Participants were adults, drinking at hazardous and harmful levels, recruited from hospital emergency departments (ED) in London or recruited online. Participants were randomised to HeLP-Alcohol, a six module DHI with weekly reminder prompts (phone, email or text message), or to face-to-face treatment as usual (TAU). Participants were invited to take part in qualitative interviews after the trial. The trial website was accessed 1074 times: 420 people completed online eligibility questionnaires; 350 did not meet eligibility criteria, 51 declined to participate, and 19 were recruited and randomised. Follow-up data were collected from three participants (retention 3/19), and four agreed to be interviewed for the process evaluation. The main themes of the interviews were:Participants were not at equipoise. They wanted to try the website and were disappointed to be randomised to face-to-face, so they were less engaged and dropped out.Other reasons for drop out included not accepting that they had a drink problem; problem drinking interfering with their ability to take part in a trial or forgetting appointments; having a busy life and being randomised to TAU made it difficult to attend appointments. This feasibility RCT aimed to test recruitment, randomisation, retention, and data collection methods, but recruited only 19 participants. This illustrates the importance of undertaking feasibility studies prior to fully powered RCTs. From the qualitative interviews we found that potential recruits were not at equipoise for recruitment. An alternative methodology, for example a preference RCT recruiting from multiple locations, needs to be explored in future trials. International Standard Randomized Controlled Trial Number: ISRCTN31789096.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 10 15%
Student > Bachelor 8 12%
Student > Ph. D. Student 6 9%
Professor 2 3%
Other 5 7%
Unknown 24 35%
Readers by discipline Count As %
Psychology 13 19%
Medicine and Dentistry 12 18%
Nursing and Health Professions 9 13%
Social Sciences 4 6%
Economics, Econometrics and Finance 2 3%
Other 3 4%
Unknown 25 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 June 2018.
All research outputs
#12,806,738
of 23,090,520 outputs
Outputs from Pilot and Feasibility Studies
#509
of 1,049 outputs
Outputs of similar age
#152,248
of 328,710 outputs
Outputs of similar age from Pilot and Feasibility Studies
#25
of 38 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,049 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 50% 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 328,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.