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A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
AIM: MyLifeTracker is a session‐by‐session mental health outcome measure for young people aged 12 to 25 years. The aim of this study was to determine clinically significant change indexes for this measure that would identify developmentally appropriate thresholds. The study also aimed to determine e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Publishing Asia Pty Ltd
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359251/ https://www.ncbi.nlm.nih.gov/pubmed/32662215 http://dx.doi.org/10.1111/eip.13016 |
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author | Kwan, Benjamin Rickwood, Debra J. |
author_facet | Kwan, Benjamin Rickwood, Debra J. |
author_sort | Kwan, Benjamin |
collection | PubMed |
description | AIM: MyLifeTracker is a session‐by‐session mental health outcome measure for young people aged 12 to 25 years. The aim of this study was to determine clinically significant change indexes for this measure that would identify developmentally appropriate thresholds. The study also aimed to determine expected change trajectories to enable clinicians to compare a client's progress against average rates of change. METHODS: Participants comprised young people aged 12 to 25 years from both a clinical and a community sample from Australia. The clinical sample was 63 840 young people that attended a headspace centre. The non‐clinical group was an Australian representative community sample of 4034 young people. RESULTS: Clinically significant change indexes were developed for MyLifeTracker specific for age and gender groups by comparing clinical and non‐clinical samples. Males and young people aged 12 to 14 years needed to reach higher scores to achieve clinically significant change compared to females and other age groups, respectively. MyLifeTracker expected change trajectories followed a cubic pattern for those with lower baseline scores of 0 to 50, whereas those with baseline scores of 51 and above had varying patterns. For those with lower baseline scores, expected change trajectories showed that stronger change was evident early in treatment, which then tapered off before accelerating again later in treatment. CONCLUSIONS: The development of MyLifeTracker benchmarks allows the measure to be used for Feedback Informed Treatment by supporting treatment planning and decision‐making. This information can help clinicians to identify clients who are not on track or deteriorating and identify when clients are improving. |
format | Online Article Text |
id | pubmed-8359251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wiley Publishing Asia Pty Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83592512021-08-17 A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker Kwan, Benjamin Rickwood, Debra J. Early Interv Psychiatry Original Articles AIM: MyLifeTracker is a session‐by‐session mental health outcome measure for young people aged 12 to 25 years. The aim of this study was to determine clinically significant change indexes for this measure that would identify developmentally appropriate thresholds. The study also aimed to determine expected change trajectories to enable clinicians to compare a client's progress against average rates of change. METHODS: Participants comprised young people aged 12 to 25 years from both a clinical and a community sample from Australia. The clinical sample was 63 840 young people that attended a headspace centre. The non‐clinical group was an Australian representative community sample of 4034 young people. RESULTS: Clinically significant change indexes were developed for MyLifeTracker specific for age and gender groups by comparing clinical and non‐clinical samples. Males and young people aged 12 to 14 years needed to reach higher scores to achieve clinically significant change compared to females and other age groups, respectively. MyLifeTracker expected change trajectories followed a cubic pattern for those with lower baseline scores of 0 to 50, whereas those with baseline scores of 51 and above had varying patterns. For those with lower baseline scores, expected change trajectories showed that stronger change was evident early in treatment, which then tapered off before accelerating again later in treatment. CONCLUSIONS: The development of MyLifeTracker benchmarks allows the measure to be used for Feedback Informed Treatment by supporting treatment planning and decision‐making. This information can help clinicians to identify clients who are not on track or deteriorating and identify when clients are improving. Wiley Publishing Asia Pty Ltd 2020-07-14 2021-08 /pmc/articles/PMC8359251/ /pubmed/32662215 http://dx.doi.org/10.1111/eip.13016 Text en © 2020 The Authors Early Intervention in Psychiatry Published by John Wiley & Sons Australia, Ltd https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Kwan, Benjamin Rickwood, Debra J. A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker |
title | A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
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title_full | A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
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title_fullStr | A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
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title_full_unstemmed | A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
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title_short | A routine outcome measure for youth mental health: Clinically interpreting MyLifeTracker
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title_sort | routine outcome measure for youth mental health: clinically interpreting mylifetracker |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359251/ https://www.ncbi.nlm.nih.gov/pubmed/32662215 http://dx.doi.org/10.1111/eip.13016 |
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