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mHealth Education Applications Along the Cancer Continuum

Overview of attention for article published in Journal of Cancer Education, December 2014
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About this Attention Score

  • 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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4 X users
wikipedia
1 Wikipedia page

Citations

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71 Dimensions

Readers on

mendeley
210 Mendeley
Title
mHealth Education Applications Along the Cancer Continuum
Published in
Journal of Cancer Education, December 2014
DOI 10.1007/s13187-014-0761-4
Pubmed ID
Authors

Sharon Watkins Davis, Ingrid Oakley-Girvan

Abstract

The majority of adults worldwide own a mobile phone, including those in under-resourced communities. Mobile health (mhealth) education technologies present a promising mechanism for improving cancer prevention, treatment, and follow-up. The purpose of this study was to summarize the literature related to mobile phone (mhealth) applications for patient education specific to cancer and identify current recommendations from randomized studies. In particular, we were interested in identifying mobile phone applications along the cancer continuum, from cancer prevention to survivorship. The authors identified 28 articles reporting on mobile applications for patients related to cancer. Articles were identified in all categories along the cancer continuum, including health professional involvement in application development. Of these, six involved direct patient education, and eight focused on improving patient/professional communication and patient self-management. However, only six of the studies were randomized interventions. The potential for mobile applications to help overcome the "health care gap" has not yet been realized in the studies from the USA that were reviewed for this paper. However, early recommendations are emerging that support the use of mHealth communications to change behaviors for cancer prevention, early detection, and symptom management and improved patient-provider communication. Recommendations include short messages, use of multiple modalities as patient characteristics dictate comfort with mHealth communication, and the inclusion of patients and health professionals to develop and test applications. Tailoring mHealth to particular cultures, languages, and ethnic groups may also represent a unique possibility to provide accessible information and education at minimal cost for under-resourced communities and individuals.

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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 206 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 15%
Researcher 28 13%
Student > Ph. D. Student 27 13%
Student > Bachelor 21 10%
Student > Doctoral Student 18 9%
Other 42 20%
Unknown 42 20%
Readers by discipline Count As %
Medicine and Dentistry 51 24%
Nursing and Health Professions 30 14%
Computer Science 22 10%
Psychology 16 8%
Social Sciences 13 6%
Other 24 11%
Unknown 54 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 December 2018.
All research outputs
#6,266,996
of 25,085,910 outputs
Outputs from Journal of Cancer Education
#218
of 1,286 outputs
Outputs of similar age
#79,884
of 373,482 outputs
Outputs of similar age from Journal of Cancer Education
#3
of 21 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,286 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% 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 373,482 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 21 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.