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Adherence to oral anticancer chemotherapy: What influences patients’ over or non-adherence? Analysis of the OCTO study through quantitative–qualitative methods

Overview of attention for article published in BMC Research Notes, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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8 tweeters

Citations

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7 Dimensions

Readers on

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43 Mendeley
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Title
Adherence to oral anticancer chemotherapy: What influences patients’ over or non-adherence? Analysis of the OCTO study through quantitative–qualitative methods
Published in
BMC Research Notes, July 2015
DOI 10.1186/s13104-015-1231-8
Pubmed ID
Authors

Aurélie Bourmaud, Emilie Henin, Fabien Tinquaut, Véronique Regnier, Chloé Hamant, Olivier Colomban, Benoit You, Florence Ranchon, Jérôme Guitton, Pascal Girard, Gilles Freyer, Michel Tod, Catherine Rioufol, Véronique Trillet-Lenoir, Franck Chauvin

Abstract

Numerous oral anticancer chemotherapies are available. Non-adherence or over-adherence to these chemotherapies can lead to lowered efficacy and increased risk of adverse events. The objective of this study was to identify patients' adherence profiles using a qualitative-quantitative method. A capecitabine treatment was initiated for 38 patients with advanced breast or colorectal cancer. At inclusion, information on patients' beliefs was reported using a questionnaire. Later, Information on patients' relation to treatment was obtained from a sub-group during an interview with a sociologist. Questionnaires were analyzed using Multiple Classification Analysis to cluster patients. Treatment adherence was evaluated by an electronic medication event monitoring systems (MEMS caps) and then correlated with patient clusters. Interviews were analyzed to complete and explain results. 38 patients were enrolled between 2008 and 2011 and completed the questionnaire. Twenty had adherence measured with MEMS caps all along treatment. Between 4 and 6 months after inclusion, 16 patients were interviewed. Patient profile B (retired, with a regular life, surrounded by a relative's attention to drug adherence, with a low educational level) was statistically associated with adequate adherence (p = 0.049). A tendency for lower adherence was observed among more highly educated patients with an irregular, active life (NS). All patients taking capecitabine demonstrated a risk of over-adherence, potentiating side effects. These encouraging primary results suggest that further studies should be undertaken and that educational programs tailored to patient profiles should be evaluated to enhance adherence for those who need it and to empower all patients to manage treatment side effects.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
France 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 8 19%
Student > Doctoral Student 4 9%
Other 4 9%
Student > Postgraduate 4 9%
Other 5 12%
Unknown 8 19%
Readers by discipline Count As %
Medicine and Dentistry 13 30%
Pharmacology, Toxicology and Pharmaceutical Science 7 16%
Nursing and Health Professions 6 14%
Biochemistry, Genetics and Molecular Biology 2 5%
Economics, Econometrics and Finance 1 2%
Other 4 9%
Unknown 10 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 August 2015.
All research outputs
#891,346
of 5,436,647 outputs
Outputs from BMC Research Notes
#234
of 1,720 outputs
Outputs of similar age
#40,141
of 189,688 outputs
Outputs of similar age from BMC Research Notes
#7
of 76 outputs
Altmetric has tracked 5,436,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,720 research outputs from this source. They receive a mean Attention Score of 4.1. 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 189,688 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 78% of its contemporaries.
We're also able to compare this research output to 76 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 90% of its contemporaries.