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Electronic screening for lifestyle issues and mental health in youth: a community-based participatory research approach

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2016
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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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6 X users
wikipedia
1 Wikipedia page

Citations

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33 Dimensions

Readers on

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149 Mendeley
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Title
Electronic screening for lifestyle issues and mental health in youth: a community-based participatory research approach
Published in
BMC Medical Informatics and Decision Making, November 2016
DOI 10.1186/s12911-016-0379-z
Pubmed ID
Authors

Felicity Goodyear-Smith, Arden Corter, Hannah Suh

Abstract

We previously developed YouthCHAT, a youth programme for electronic screening and intervention for lifestyle risk factors and mental health issues. Our aim was to tailor the YouthCHAT package for use in a clinic catering for disadvantaged youth, assess its acceptability and utility, and develop a framework to scale-up its implementation. We used a community-based participatory research approach to implement YouthCHAT in a rural clinic in New Zealand. Modifications to the programme were developed using an iterative process involving clinicians and patients. Electronic YouthCHAT data were collated and descriptive statistics produced. Quantitative data from post-consultation youth surveys were analysed, with thematic analyses undertaken of free text responses and staff interviews. A generic implementation framework was developed with modifiable components. Thirty youth, predominantly female Māori, completed electronic screening then attended their clinician. Consultations included discussion of YouthCHAT responses, with joint problem-solving and decision-making regarding intervention. Twenty-seven (90 %) screened positive for at least one domain. Nineteen (67 %) had one to three issues. Sixteen (53 %) wanted help with at least one issue, either immediately or later. Patients gave YouthCHAT high acceptability ratings (M = 8.29/10), indicating it was easy to use, helped them think about and identify problems, talk with their doctor, and assisted their doctor to be aware of these issues. They liked that YouthCHAT kept them busy in the waiting room and gave them time to reflect on their responses, and what to discuss with their clinician. Clinicians felt that YouthCHAT was acceptable to their young patients because it was electronic and reinforced their privacy. They indicated YouthCHAT identified problems that would have not been identified in a normal consult, and improved consultations by making them faster. The clinic continues to use YouthCHAT post-study. A community-based participatory approach was used to engage key stakeholders (patients and clinic staff) for 'real life' translation of an electronic mental health and lifestyle screening and intervention package into a specific youth clinic context. Patients and staff found the programme acceptable and useful, and a framework was developed for scaled up and sustainable tailored implementation in other settings.

X Demographics

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

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 16%
Student > Master 20 13%
Student > Ph. D. Student 16 11%
Student > Bachelor 13 9%
Student > Doctoral Student 9 6%
Other 18 12%
Unknown 49 33%
Readers by discipline Count As %
Medicine and Dentistry 24 16%
Nursing and Health Professions 22 15%
Psychology 14 9%
Social Sciences 11 7%
Agricultural and Biological Sciences 3 2%
Other 13 9%
Unknown 62 42%
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 15 January 2017.
All research outputs
#5,866,754
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#499
of 2,030 outputs
Outputs of similar age
#86,141
of 315,523 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 23 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 315,523 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 72% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.