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What IAPT services can learn from those who do not attend.

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Title: What IAPT services can learn from those who do not attend.
Authors: Marshall, Dan (AUTHOR), Quinn, Cath (AUTHOR), Child, Sue (AUTHOR), Shenton, Deborah (AUTHOR), Pooler, Jill (AUTHOR), Forber, Sue (AUTHOR), Byng, Richard (AUTHOR)
Source: Journal of Mental Health. Oct2016, Vol. 25 Issue 5, p410-415. 6p. 1 Diagram.
Subjects: Health services accessibility, Interviewing, Longitudinal method, Research methodology, Mental health services, Patient compliance, Quality assurance, Questionnaires, Research funding, Qualitative research, Thematic analysis, Patient dropouts
Geographic Terms: England
Abstract: Background: Rates of non-attendance within IAPT are 45–48%. Non-attendance has negative implications for patients, staff and services. Aims: This research aimed to identify service-related factors that contribute to non-attendance. Method: Qualitative interviews with 14 patients recruited from six IAPT services in the South West. These were individuals who, having been referred to IAPT, never attended, or only attended one treatment contact. They were interviewed face-to-face or by telephone using semi-structured interview schedules. The resulting data were analysed thematically through an iterative qualitative analysis using data mapping sheets. Results: Five themes emerged from an analysis of the data including: the waiting process, the relationship between IAPT services and GPs, expectations of assessment and treatment, rigidity of service and practitioner contributions to the relationship. Conclusions: The analysis identifies ways in which IAPT services could reduce non-attendance. It also highlights areas of interest for future non-attendance in healthcare research, particularly collaborative care and protocolisation of treatment. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mental Health is the property of Taylor & Francis Ltd 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.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: What IAPT services can learn from those who do not attend.
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  Data: <searchLink fieldCode="AR" term="%22Marshall%2C+Dan%22">Marshall, Dan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quinn%2C+Cath%22">Quinn, Cath</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Child%2C+Sue%22">Child, Sue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shenton%2C+Deborah%22">Shenton, Deborah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pooler%2C+Jill%22">Pooler, Jill</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Forber%2C+Sue%22">Forber, Sue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Byng%2C+Richard%22">Byng, Richard</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mental+Health%22">Journal of Mental Health</searchLink>. Oct2016, Vol. 25 Issue 5, p410-415. 6p. 1 Diagram.
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  Data: Background: Rates of non-attendance within IAPT are 45–48%. Non-attendance has negative implications for patients, staff and services. Aims: This research aimed to identify service-related factors that contribute to non-attendance. Method: Qualitative interviews with 14 patients recruited from six IAPT services in the South West. These were individuals who, having been referred to IAPT, never attended, or only attended one treatment contact. They were interviewed face-to-face or by telephone using semi-structured interview schedules. The resulting data were analysed thematically through an iterative qualitative analysis using data mapping sheets. Results: Five themes emerged from an analysis of the data including: the waiting process, the relationship between IAPT services and GPs, expectations of assessment and treatment, rigidity of service and practitioner contributions to the relationship. Conclusions: The analysis identifies ways in which IAPT services could reduce non-attendance. It also highlights areas of interest for future non-attendance in healthcare research, particularly collaborative care and protocolisation of treatment. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Mental Health is the property of Taylor & Francis Ltd 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=119616073
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3109/09638237.2015.1101057
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 6
        StartPage: 410
    Subjects:
      – SubjectFull: Health services accessibility
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Mental health services
        Type: general
      – SubjectFull: Patient compliance
        Type: general
      – SubjectFull: Quality assurance
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: Thematic analysis
        Type: general
      – SubjectFull: Patient dropouts
        Type: general
      – SubjectFull: England
        Type: general
    Titles:
      – TitleFull: What IAPT services can learn from those who do not attend.
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            NameFull: Marshall, Dan
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            NameFull: Quinn, Cath
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            NameFull: Shenton, Deborah
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            NameFull: Pooler, Jill
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            NameFull: Forber, Sue
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            – D: 01
              M: 10
              Text: Oct2016
              Type: published
              Y: 2016
          Identifiers:
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              Value: 09638237
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              Value: 25
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