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Applicability of acceptance and commitment therapy-based mobile app in depression nursing

Overview of attention for article published in Translational Behavioral Medicine, November 2016
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Title
Applicability of acceptance and commitment therapy-based mobile app in depression nursing
Published in
Translational Behavioral Medicine, November 2016
DOI 10.1007/s13142-016-0451-3
Pubmed ID
Authors

Kirsikka Kaipainen, Pasi Välkkynen, Nina Kilkku

Abstract

Due to the high burden of depression, new models and methods of mental healthcare need to be developed. Prior research has shown the potential benefits of using technology tools such as mobile apps as self-help or combined with psychological treatment. Therefore, professionals should acquaint themselves with evidence-based apps to be able to use them with clients and guide the clients in their use. The purpose of this study was to explore how an acceptance and commitment therapy-based mobile app was perceived as a self-management tool among nurses, and how it could be applied in the prevention and treatment of depression and other mental health issues. Sixteen Finnish nurses undergoing depression nurse specialist education used the app for 5 weeks and participated in semistructured focus group interviews. Interviews were analyzed by qualitative content analysis. In general, the nurses found the app suitable as a self-management tool and identified three models of using it in clinical practice. Having used the app personally, the nurses were eager to take it into use with various client groups, especially in occupational health but also in the treatment of mental health problems. However, they also raised concerns about the effort needed in familiarizing oneself with the content and pointed out specific client groups for whom the benefits of the app should be carefully weighed against the potential risks. Despite the small sample size, the findings suggest that involving technology tools as part of the nurses' education could ease their adoption in clinical practice. The degree of professional support in the app use should be aligned to the severity of the mental health problems.

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The data shown below were collected from the profile of 1 X user 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 13%
Student > Master 22 12%
Student > Bachelor 21 12%
Researcher 17 9%
Student > Doctoral Student 12 7%
Other 32 18%
Unknown 55 30%
Readers by discipline Count As %
Psychology 44 24%
Nursing and Health Professions 24 13%
Medicine and Dentistry 20 11%
Computer Science 12 7%
Engineering 5 3%
Other 13 7%
Unknown 64 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 November 2016.
All research outputs
#14,431,072
of 23,577,654 outputs
Outputs from Translational Behavioral Medicine
#664
of 1,016 outputs
Outputs of similar age
#222,619
of 420,237 outputs
Outputs of similar age from Translational Behavioral Medicine
#8
of 10 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 32nd percentile – i.e., 32% 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 420,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.