Developing a minimum data standard for student mental health services in the UK: A qualitative study with staff from university support services.

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Title: Developing a minimum data standard for student mental health services in the UK: A qualitative study with staff from university support services.
Authors: O'Donnell, Jennifer, Broglia, Emma, Turner, Afra, Fudge, Mark, Knowles, Louise, Barkham, Michael
Source: Counselling & Psychotherapy Research. Dec2024, Vol. 24 Issue 4, p1454-1465. 12p.
Subjects: Database management standards, Corporate culture, Mental health services, Student health services, Mental health counselors, Research funding, Qualitative research, Executives, Focus groups, Psychotherapist attitudes, Interviewing, Content analysis, Thematic analysis, Research methodology, Content mining, Counseling, Psychology of college students
Geographic Terms: United Kingdom
Abstract: Objective: This study is part of the Student Counselling Outcomes Research and Evaluation (SCORE) initiative that is pooling university counselling service data to improve datasets and evidence for counselling in this sector. This study aimed to explore university counselling staff views about which data should be included in a national minimum data standard (MDS) to provide evidence for counselling in the sector. Method: Semi‐structured focus groups were conducted with university counselling staff including counsellors, service leaders and mental health advisors. They explored data to include in an MDS, current data collection practices, service and sector level data collection barriers. Two researchers performed content analysis involving identifying fields for inclusion. Thematic analysis was used to identify contextual issues surrounding data collection. Ten focus groups were conducted with 41 participants across 26 university counselling services. Results: Content analysis identified fields of information for the MDS within the categories of student characteristics, demographics, clinical assessment and service evaluation. Thematic analysis explored context and culture surrounding data collection, barriers and facilitators, institutional influence and ideal data collection practices. This highlights the need for service support and training around data collection, clear processes, and adequate IT infrastructure and staff resources. Discussion: These findings will inform the development of an MDS as part of the SCORE study. The next stage will involve further development of the MDS and piloting in services. The longer term aim is to implement an MDS across university counselling services, enabling the growth of evidence for the sector which may allow increased funding and service provision. [ABSTRACT FROM AUTHOR]
Copyright of Counselling & Psychotherapy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Developing a minimum data standard for student mental health services in the UK: A qualitative study with staff from university support services.
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  Data: <searchLink fieldCode="JN" term="%22Counselling+%26+Psychotherapy+Research%22">Counselling & Psychotherapy Research</searchLink>. Dec2024, Vol. 24 Issue 4, p1454-1465. 12p.
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  Data: Objective: This study is part of the Student Counselling Outcomes Research and Evaluation (SCORE) initiative that is pooling university counselling service data to improve datasets and evidence for counselling in this sector. This study aimed to explore university counselling staff views about which data should be included in a national minimum data standard (MDS) to provide evidence for counselling in the sector. Method: Semi‐structured focus groups were conducted with university counselling staff including counsellors, service leaders and mental health advisors. They explored data to include in an MDS, current data collection practices, service and sector level data collection barriers. Two researchers performed content analysis involving identifying fields for inclusion. Thematic analysis was used to identify contextual issues surrounding data collection. Ten focus groups were conducted with 41 participants across 26 university counselling services. Results: Content analysis identified fields of information for the MDS within the categories of student characteristics, demographics, clinical assessment and service evaluation. Thematic analysis explored context and culture surrounding data collection, barriers and facilitators, institutional influence and ideal data collection practices. This highlights the need for service support and training around data collection, clear processes, and adequate IT infrastructure and staff resources. Discussion: These findings will inform the development of an MDS as part of the SCORE study. The next stage will involve further development of the MDS and piloting in services. The longer term aim is to implement an MDS across university counselling services, enabling the growth of evidence for the sector which may allow increased funding and service provision. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Counselling & Psychotherapy Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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    Subjects:
      – SubjectFull: Database management standards
        Type: general
      – SubjectFull: Corporate culture
        Type: general
      – SubjectFull: Mental health services
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      – SubjectFull: United Kingdom
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              Text: Dec2024
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