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Guided online self-management interventions in primary care: a survey on use, facilitators, and barriers

Overview of attention for article published in BMC Primary Care, March 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Guided online self-management interventions in primary care: a survey on use, facilitators, and barriers
Published in
BMC Primary Care, March 2016
DOI 10.1186/s12875-016-0424-0
Pubmed ID
Authors

Rosalie van der Vaart, Vera Atema, Andrea W. M. Evers

Abstract

Guided online psychological self-management interventions offer broad prospects for the treatment of people with mild to moderate mental health problems, but implementation is challenging. The aims of this study are (1) to gain insight into use of and intention to use these interventions among primary care health professionals, (2) to determine the main barriers to use such interventions among non-users. An online survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was disseminated among mental health counsellors (MHCs; in Dutch POHs) in GP practices and primary care psychologists (PCP) in mental health care practices. The survey covered the current use of online interventions, the intention to use these in the future, and an operationalization of the UTAUT concepts: performance expectancy, effort expectancy, social influence, and facilitating conditions. In total, 481 MHCs and 290 PCPs responded (24 %). Of them, 49 % of MHCs and 21 % of PCPs currently use online interventions in their treatments. A further 40 % of MHCs and 27 % of PCPs plan to introduce such interventions within the next year. Both groups were moderately positive about the presence of eHealth facilitators in their daily practice. Among current non-users, performance expectancy and facilitating conditions were significant predictors of usage intention in both groups of health professionals. Use of and intention to use online interventions is relatively high in Dutch primary care. Non-users, particularly, experience several barriers which need attention to enhance implementation. There is a need for further efforts regarding facilitation of and education on eHealth, as well as for research directed to its normalization in daily practice.

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X Demographics

The data shown below were collected from the profiles of 6 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 195 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 13%
Student > Bachelor 24 12%
Student > Ph. D. Student 23 12%
Researcher 20 10%
Student > Doctoral Student 17 9%
Other 35 18%
Unknown 52 27%
Readers by discipline Count As %
Psychology 29 15%
Nursing and Health Professions 25 13%
Medicine and Dentistry 23 12%
Business, Management and Accounting 20 10%
Social Sciences 12 6%
Other 27 14%
Unknown 60 31%
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 10 February 2017.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from BMC Primary Care
#1,232
of 2,359 outputs
Outputs of similar age
#144,968
of 314,757 outputs
Outputs of similar age from BMC Primary Care
#24
of 34 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 46th percentile – i.e., 46% 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 314,757 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 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.