↓ Skip to main content

Rationale and design of mDOT-HuA study: a randomized trial to assess the effect of mobile-directly observed therapy on adherence to hydroxyurea in adults with sickle cell anemia in Tanzania

Overview of attention for article published in BMC Medical Research Methodology, October 2016
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rationale and design of mDOT-HuA study: a randomized trial to assess the effect of mobile-directly observed therapy on adherence to hydroxyurea in adults with sickle cell anemia in Tanzania
Published in
BMC Medical Research Methodology, October 2016
DOI 10.1186/s12874-016-0245-9
Pubmed ID
Authors

Abel Makubi, Philip Sasi, Mariam Ngaeje, Enrico M. Novelli, Bruno P. Mmbando, Mark T. Gladwin, Julie Makani

Abstract

Hydroxyurea (HU) has been demonstrated to be efficacious in reducing complications in individuals with sickle cell anemia (SCA) but poor adherence is a barrier. Directly Observed Therapy (DOT) has been shown to improve adherence in various chronic diseases but there is limited data in adults with SCA. To examine the effect of mobile-directly observed therapy (mDOT) on adherence to HU (mDOT-HuA) in adults with SCA at Muhimbili National Hospital in Tanzania. The mDOT-HuA study is a single centre, prospective, randomized, open label clinical trial. One-hundred individuals with SCA with haemoglobin SS genotype, aged ≥18 years, living in Dar es Salaam, able and willing to record and submit videos electronically will be included. Participants will be divided into two treatment arms; 50 in the standard monitoring (SM) arm will receive mobile phones and fixed dose HU therapy with standard monitoring; 50 in the mDOT arm will receive mobile phones, fixed dose HU therapy with standard monitoring and a mobile directly observed web based medication adherence monitoring system. The primary outcome is the proportion of participants achieving ≥80 % HU adherence compared between the two arms as assessed through medication possession ratio at the end of 3 months of treatment. REDCap, an open source software application will be used to collect data using clinical research forms. The proportions of adherence in the two arms will be compared by Fisher's exact test. Analysis of outcomes will have performed by both the intention-to treat and per-protocol methods. Should this study become sucessful, it will have the potential for the development of novel strategies for improving HU adherence in SCA. ClinicalTrials.gov Identifier: NCT02844673 , registered on 25(th)t July 2016 (retrospectively registered).

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 26%
Unspecified 7 14%
Researcher 7 14%
Professor > Associate Professor 4 8%
Student > Bachelor 3 6%
Other 10 20%
Unknown 6 12%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Unspecified 7 14%
Nursing and Health Professions 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Social Sciences 4 8%
Other 10 20%
Unknown 9 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 November 2017.
All research outputs
#9,664,411
of 12,083,996 outputs
Outputs from BMC Medical Research Methodology
#855
of 1,024 outputs
Outputs of similar age
#180,372
of 256,886 outputs
Outputs of similar age from BMC Medical Research Methodology
#34
of 43 outputs
Altmetric has tracked 12,083,996 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,024 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 256,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.