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Dove Medical Press

A counselor in your pocket: feasibility of mobile health tailored messages to support HIV medication adherence

Overview of attention for article published in Patient preference and adherence, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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15 X users
googleplus
1 Google+ user
video
1 YouTube creator

Citations

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20 Dimensions

Readers on

mendeley
124 Mendeley
Title
A counselor in your pocket: feasibility of mobile health tailored messages to support HIV medication adherence
Published in
Patient preference and adherence, September 2015
DOI 10.2147/ppa.s88222
Pubmed ID
Authors

Paul F Cook, Jane M Carrington, Sarah J Schmiege, Whitney Starr, Blaine Reeder

Abstract

Medication adherence is a major challenge in HIV treatment. New mobile technologies such as smartphones facilitate the delivery of brief tailored messages to promote adherence. However, the best approach for tailoring messages is unknown. Persons living with HIV (PLWH) might be more receptive to some messages than others based on their current psychological state. We recruited 37 PLWH from a parent study of motivational states and adherence. Participants completed smartphone-based surveys at a random time every day for 2 weeks, then immediately received intervention or control tailored messages, depending on random assignment. After 2 weeks in the initial condition, participants received the other condition in a crossover design. Intervention messages were tailored to match PLWH's current psychological state based on five variables - control beliefs, mood, stress, coping, and social support. Control messages were tailored to create a mismatch between message framing and participants' current psychological state. We evaluated intervention feasibility based on acceptance, ease of use, and usefulness measures. We also used pilot randomized controlled trial methods to test the intervention's effect on adherence, which was measured using electronic caps that recorded pill-bottle openings. Acceptance was high based on 76% enrollment and 85% satisfaction. Participants found the hardware and software easy to use. However, attrition was high at 59%, and usefulness ratings were slightly lower. The most common complaint was boredom. Unexpectedly, there was no difference between mismatched and matched messages' effects, but each group showed a 10%-15% improvement in adherence after crossing to the opposite study condition. Although smartphone-based tailored messaging was feasible and participants had clinically meaningful improvements in adherence, the mechanisms of change require further study. Possible explanations might include novelty effects, increased receptiveness to new information after habituation, or pseudotailoring, three ways in which attentional processes can affect behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 19%
Student > Master 22 18%
Student > Ph. D. Student 19 15%
Student > Bachelor 7 6%
Student > Doctoral Student 7 6%
Other 17 14%
Unknown 29 23%
Readers by discipline Count As %
Medicine and Dentistry 26 21%
Psychology 18 15%
Social Sciences 11 9%
Computer Science 9 7%
Nursing and Health Professions 7 6%
Other 15 12%
Unknown 38 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 December 2015.
All research outputs
#3,621,629
of 25,373,627 outputs
Outputs from Patient preference and adherence
#224
of 1,757 outputs
Outputs of similar age
#45,174
of 276,788 outputs
Outputs of similar age from Patient preference and adherence
#4
of 46 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 86% 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 276,788 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 83% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.