Clickety-click: e-mental health train on track.

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Title: Clickety-click: e-mental health train on track.
Authors: Griffiths, Kathleen, Farrer, Louise, Christensen, Helen
Source: Australasian Psychiatry. Apr2007, Vol. 15 Issue 2, p100-108. 9p.
Subjects: Mental health services, Psychiatry, Internet, Mental health, Computer network resources
Abstract: Objective: Experts forecast that the Internet will bring about radical change in healthcare. This paper aims to summarise evidence concerning the efficacy of Internet-based programs in the delivery of mental health care and its implications for mental health professionals. It also describes those Internet programs which are both of demonstrated effectiveness in the treatment of anxiety or depression and available without restriction or cost to the public. Conclusions: There is evidence that Internet-based programs can improve a range of mental health conditions. Some of these programs could be used by psychiatrists and other mental health professionals as an adjunct to clinician-based treatment. However, clinicians need to know which programs work and how they can be accessed. [ABSTRACT FROM AUTHOR]
Copyright of Australasian Psychiatry is the property of Sage Publications Inc. 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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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Clickety-click: e-mental health train on track.
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  Data: <searchLink fieldCode="AR" term="%22Griffiths%2C+Kathleen%22">Griffiths, Kathleen</searchLink><br /><searchLink fieldCode="AR" term="%22Farrer%2C+Louise%22">Farrer, Louise</searchLink><br /><searchLink fieldCode="AR" term="%22Christensen%2C+Helen%22">Christensen, Helen</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Australasian+Psychiatry%22">Australasian Psychiatry</searchLink>. Apr2007, Vol. 15 Issue 2, p100-108. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+health+services%22">Mental health services</searchLink><br /><searchLink fieldCode="DE" term="%22Psychiatry%22">Psychiatry</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+resources%22">Computer network resources</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Experts forecast that the Internet will bring about radical change in healthcare. This paper aims to summarise evidence concerning the efficacy of Internet-based programs in the delivery of mental health care and its implications for mental health professionals. It also describes those Internet programs which are both of demonstrated effectiveness in the treatment of anxiety or depression and available without restriction or cost to the public. Conclusions: There is evidence that Internet-based programs can improve a range of mental health conditions. Some of these programs could be used by psychiatrists and other mental health professionals as an adjunct to clinician-based treatment. However, clinicians need to know which programs work and how they can be accessed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Australasian Psychiatry is the property of Sage Publications Inc. 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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        Value: 10.1080/10398560601123716
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        Text: English
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      – SubjectFull: Mental health services
        Type: general
      – SubjectFull: Psychiatry
        Type: general
      – SubjectFull: Internet
        Type: general
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      – SubjectFull: Computer network resources
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      – TitleFull: Clickety-click: e-mental health train on track.
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              Text: Apr2007
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              Y: 2007
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