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Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach
BACKGROUND: Severe life events are acknowledged as important etiological factors in the development of clinical disorders, including major depression. Interview methods capable of assessing context and meaning of events have demonstrated superior validity compared with checklist questionnaire method...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526994/ https://www.ncbi.nlm.nih.gov/pubmed/26175304 http://dx.doi.org/10.2196/resprot.4085 |
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author | Spence, Ruth Bunn, Amanda Nunn, Stephen Hosang, Georgina M Kagan, Lisa Fisher, Helen L Taylor, Matthew Bifulco, Antonia |
author_facet | Spence, Ruth Bunn, Amanda Nunn, Stephen Hosang, Georgina M Kagan, Lisa Fisher, Helen L Taylor, Matthew Bifulco, Antonia |
author_sort | Spence, Ruth |
collection | PubMed |
description | BACKGROUND: Severe life events are acknowledged as important etiological factors in the development of clinical disorders, including major depression. Interview methods capable of assessing context and meaning of events have demonstrated superior validity compared with checklist questionnaire methods and arguments for interview approaches have resurfaced because choosing the appropriate assessment tool provides clarity of information about gene-environment interactions in depression. Such approaches also have greater potential for understanding and treating clinical cases or for use in interventions. OBJECTIVE: (1) To argue that life events need sophisticated measurement not satisfactorily captured in checklist approaches. (2) To review life-events measures and key findings related to disorder, exemplifying depression. (3) To describe an ongoing study with a new online measure and to assess its psychometric properties and the association of life events in relation to disorder and educational outcomes. METHODS: The Computerised Life Events Assessment Record (CLEAR) is under development as a tool for online assessment of adult life events. Based on the Life Events and Difficulties Schedule interview, CLEAR seeks to assess life events to self and close others, link these to other events and difficulties, and utilize calendar-based timing, to improve upon checklist approaches. RESULTS: The CLEAR study is in the preliminary stages and its results are expected to be made available by the end of 2015. CONCLUSIONS: There is currently no sophisticated technological application of social risk factor assessment, such as life events and difficulties. CLEAR is designed to gather reliable and valid life-event data while combating the limitations of interviews (eg, time consuming and costly) and life-event checklists (eg, inability to accurately measure severity and independence of life events). The advantages of using such innovative methodology for research, clinical practice, and interventions are discussed. |
format | Online Article Text |
id | pubmed-4526994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45269942015-08-11 Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach Spence, Ruth Bunn, Amanda Nunn, Stephen Hosang, Georgina M Kagan, Lisa Fisher, Helen L Taylor, Matthew Bifulco, Antonia JMIR Res Protoc Protocol BACKGROUND: Severe life events are acknowledged as important etiological factors in the development of clinical disorders, including major depression. Interview methods capable of assessing context and meaning of events have demonstrated superior validity compared with checklist questionnaire methods and arguments for interview approaches have resurfaced because choosing the appropriate assessment tool provides clarity of information about gene-environment interactions in depression. Such approaches also have greater potential for understanding and treating clinical cases or for use in interventions. OBJECTIVE: (1) To argue that life events need sophisticated measurement not satisfactorily captured in checklist approaches. (2) To review life-events measures and key findings related to disorder, exemplifying depression. (3) To describe an ongoing study with a new online measure and to assess its psychometric properties and the association of life events in relation to disorder and educational outcomes. METHODS: The Computerised Life Events Assessment Record (CLEAR) is under development as a tool for online assessment of adult life events. Based on the Life Events and Difficulties Schedule interview, CLEAR seeks to assess life events to self and close others, link these to other events and difficulties, and utilize calendar-based timing, to improve upon checklist approaches. RESULTS: The CLEAR study is in the preliminary stages and its results are expected to be made available by the end of 2015. CONCLUSIONS: There is currently no sophisticated technological application of social risk factor assessment, such as life events and difficulties. CLEAR is designed to gather reliable and valid life-event data while combating the limitations of interviews (eg, time consuming and costly) and life-event checklists (eg, inability to accurately measure severity and independence of life events). The advantages of using such innovative methodology for research, clinical practice, and interventions are discussed. JMIR Publications Inc. 2015-07-14 /pmc/articles/PMC4526994/ /pubmed/26175304 http://dx.doi.org/10.2196/resprot.4085 Text en ©Ruth Spence, Amanda Bunn, Stephen Nunn, Georgina M Hosang, Lisa Kagan, Helen L Fisher, Matthew Taylor, Antonia Bifulco. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 14.07.2015. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Spence, Ruth Bunn, Amanda Nunn, Stephen Hosang, Georgina M Kagan, Lisa Fisher, Helen L Taylor, Matthew Bifulco, Antonia Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title | Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title_full | Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title_fullStr | Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title_full_unstemmed | Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title_short | Measuring Life Events and Their Association With Clinical Disorder: A Protocol for Development of an Online Approach |
title_sort | measuring life events and their association with clinical disorder: a protocol for development of an online approach |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526994/ https://www.ncbi.nlm.nih.gov/pubmed/26175304 http://dx.doi.org/10.2196/resprot.4085 |
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