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Improving medication adherence in stroke patients through Short Text Messages (SMS4Stroke)-study protocol for a randomized, controlled trial

Overview of attention for article published in BMC Neurology, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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3 X users

Citations

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23 Dimensions

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255 Mendeley
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Title
Improving medication adherence in stroke patients through Short Text Messages (SMS4Stroke)-study protocol for a randomized, controlled trial
Published in
BMC Neurology, August 2015
DOI 10.1186/s12883-015-0413-2
Pubmed ID
Authors

Ayeesha Kamran Kamal, Quratulain Nauman Shaikh, Omrana Pasha, Iqbal Azam, Muhammad Islam, Adeel Ali Memon, Hasan Rehman, Muhammad Affan, Sumaira Nazir, Salman Aziz, Muhammad Jan, Anita Andani, Abdul Muqeet, Bilal Ahmed, Shariq Khoja

Abstract

Stroke is a major cause of morbidity and mortality, especially in low and middle income countries. Medical management is the mainstay of therapy to prevent recurrence of stroke. Current estimates are that only 1 in 6 patients have perfect adherence to medication schedules. Using SMS (Short Messaging Service) as reminders to take medicines have been used previously for diseases such as diabetes and HIV with moderate success. We aim to explore the effectiveness and acceptability of SMS in increasing adherence to medications in patients with stroke. This will be a randomized, controlled, assessor blinded single center superiority trial. Adult participants with access to a cell phone and a history of stroke longer than 1 month on multiple risk modifying medications will be selected from Neurology and Stroke Clinic. They will be randomized into two parallel groups in a 1:1 ratio via block technique with one group receiving the standard of care as per institutional guidelines while the parallel group receiving SMS reminders for each dose of medicine in addition to the standard of care. In addition intervention group will receive messages for lifestyle changes, medication information, risk factors and motivation for medication adherence. These will bemodeled on Social Cognitive Theory and Health Belief Model and will be categorized by Michies Taxonomy of Behavioral Change Communication. Patient compliance to medicines will be measured at baseline and then after 2 months in each group by using the Morisky Medication Adherence Scale. The change in compliance to medication regimen after the intervention and the difference between the two groups will be used to determine the effectiveness of SMS reminders as a tool to increase medication compliance. The acceptability of the SMS will be determined by a tool designed for this study whose attributes are based Rogers Diffusion of innovation theory. A sample size of 86 participants in each arm will be sufficient to detect a difference of 1 point on the MMAS with a power of 90 % and significance level of 5 % between the two groups; using an attrition rate of 15 %, 200 participants in all will be randomized. The SMS for Stroke Study will provide evidence for feasibility and effectiveness of SMS in improving post stroke medication adherence in an LMIC setting. https://clinicaltrials.gov/ct2/show/NCT01986023 11 /11/2013.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Spain 1 <1%
United States 1 <1%
Unknown 251 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 18%
Researcher 30 12%
Student > Ph. D. Student 26 10%
Student > Bachelor 22 9%
Student > Doctoral Student 18 7%
Other 44 17%
Unknown 69 27%
Readers by discipline Count As %
Medicine and Dentistry 52 20%
Nursing and Health Professions 30 12%
Psychology 22 9%
Social Sciences 13 5%
Computer Science 9 4%
Other 46 18%
Unknown 83 33%
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 28 February 2016.
All research outputs
#14,578,246
of 25,337,969 outputs
Outputs from BMC Neurology
#1,136
of 2,688 outputs
Outputs of similar age
#126,764
of 274,926 outputs
Outputs of similar age from BMC Neurology
#25
of 65 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,688 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 56% 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 274,926 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 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.