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Indhold leveret af Audioboom, The Association for Child, and Adolescent Mental Health. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Audioboom, The Association for Child, and Adolescent Mental Health eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Personalising Treatment in Child Mental Health: Leveraging and Extending IPDMA Methodology
MP3•Episode hjem
Manage episode 455943550 series 2086164
Indhold leveret af Audioboom, The Association for Child, and Adolescent Mental Health. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Audioboom, The Association for Child, and Adolescent Mental Health eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
DOI: 10.13056/acamh.13594
In this Papers Podcast, Professor Jennifer Hudson and Lizél-Antoinette Bertie discuss their co-authored JCPP Editorial Perspective ‘Extending IPDMA methodology to drive treatment personalisation in child mental health’. There is an overview of the paper, key findings, and implications for practice.
Learning Objectives
1. Define and summarise how Individual Patient Data Meta-analysis (IPDMA) works.
2. The limitations of randomised control trials, systematic reviews and conventional meta-analyses in terms of answering research questions about what works for an individual.
3. Why the study focused on anxiety disorders in the context of youth.
4. Messages that researchers should take from this Editorial Perspective.
5. How the researchers envisage the approach outlined in the paper moving the field towards evidence-based personalised mental health care and how this can be translated into practice.
6. Insight into PADDY (the Platform for Anxiety Disorder Data in Youth) and the need for, and importance of, the formation of a topic-based data repository.
7. The ethical risks and logistical challenges of the formulation of a data repository and how such challenges can be met.
In this Papers Podcast, Professor Jennifer Hudson and Lizél-Antoinette Bertie discuss their co-authored JCPP Editorial Perspective ‘Extending IPDMA methodology to drive treatment personalisation in child mental health’. There is an overview of the paper, key findings, and implications for practice.
Learning Objectives
1. Define and summarise how Individual Patient Data Meta-analysis (IPDMA) works.
2. The limitations of randomised control trials, systematic reviews and conventional meta-analyses in terms of answering research questions about what works for an individual.
3. Why the study focused on anxiety disorders in the context of youth.
4. Messages that researchers should take from this Editorial Perspective.
5. How the researchers envisage the approach outlined in the paper moving the field towards evidence-based personalised mental health care and how this can be translated into practice.
6. Insight into PADDY (the Platform for Anxiety Disorder Data in Youth) and the need for, and importance of, the formation of a topic-based data repository.
7. The ethical risks and logistical challenges of the formulation of a data repository and how such challenges can be met.
316 episoder
MP3•Episode hjem
Manage episode 455943550 series 2086164
Indhold leveret af Audioboom, The Association for Child, and Adolescent Mental Health. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Audioboom, The Association for Child, and Adolescent Mental Health eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
DOI: 10.13056/acamh.13594
In this Papers Podcast, Professor Jennifer Hudson and Lizél-Antoinette Bertie discuss their co-authored JCPP Editorial Perspective ‘Extending IPDMA methodology to drive treatment personalisation in child mental health’. There is an overview of the paper, key findings, and implications for practice.
Learning Objectives
1. Define and summarise how Individual Patient Data Meta-analysis (IPDMA) works.
2. The limitations of randomised control trials, systematic reviews and conventional meta-analyses in terms of answering research questions about what works for an individual.
3. Why the study focused on anxiety disorders in the context of youth.
4. Messages that researchers should take from this Editorial Perspective.
5. How the researchers envisage the approach outlined in the paper moving the field towards evidence-based personalised mental health care and how this can be translated into practice.
6. Insight into PADDY (the Platform for Anxiety Disorder Data in Youth) and the need for, and importance of, the formation of a topic-based data repository.
7. The ethical risks and logistical challenges of the formulation of a data repository and how such challenges can be met.
In this Papers Podcast, Professor Jennifer Hudson and Lizél-Antoinette Bertie discuss their co-authored JCPP Editorial Perspective ‘Extending IPDMA methodology to drive treatment personalisation in child mental health’. There is an overview of the paper, key findings, and implications for practice.
Learning Objectives
1. Define and summarise how Individual Patient Data Meta-analysis (IPDMA) works.
2. The limitations of randomised control trials, systematic reviews and conventional meta-analyses in terms of answering research questions about what works for an individual.
3. Why the study focused on anxiety disorders in the context of youth.
4. Messages that researchers should take from this Editorial Perspective.
5. How the researchers envisage the approach outlined in the paper moving the field towards evidence-based personalised mental health care and how this can be translated into practice.
6. Insight into PADDY (the Platform for Anxiety Disorder Data in Youth) and the need for, and importance of, the formation of a topic-based data repository.
7. The ethical risks and logistical challenges of the formulation of a data repository and how such challenges can be met.
316 episoder
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