Patterns of change in different phases of outpatient psychotherapy: a stage-sequential pattern analysis of change in session reports.
Identifieur interne : 000290 ( PubMed/Corpus ); précédent : 000289; suivant : 000291Patterns of change in different phases of outpatient psychotherapy: a stage-sequential pattern analysis of change in session reports.
Auteurs : Julian Rubel ; Wolfgang Lutz ; Dietmar SchulteSource :
- Clinical psychology & psychotherapy [ 1099-0879 ]
English descriptors
- KwdEn :
- MESH :
- geographic : Germany.
- methods : Psychotherapy.
- psychology : Mental Disorders, Outpatients.
- statistics & numerical data : Outpatients.
- therapy : Mental Disorders.
- Adolescent, Adult, Aged, Female, Humans, Male, Middle Aged, Treatment Outcome, Young Adult.
Abstract
Knowledge about typical change patterns of psychotherapy patients can help to improve treatment guidelines for psychological disorders. Recent studies showed that it is possible to identify several patient subgroups with regard to their early change pattern. However, although focusing on the early phase of treatment, change patterns in later stages have hardly been investigated yet. In this study, Growth Mixture Modelling was used to identify latent change classes in different phases of therapy in a naturalistic sample of 1229 psychotherapy outpatients. Furthermore, this paper inquired into the relation between the change patterns in different phases as well as their predictive power for therapy length and outcome. Results revealed different change patterns for the three investigated phases. While in an early treatment phase, (sessions one-six) five different change patterns could be identified: the number of change classes decreased considerably over time, resulting in three patterns in the second (sessions 7-12) and two in the third phase (sessions 13-18). In each phase, by far, the biggest class showed a pattern of good progress with small/no further improvements.
DOI: 10.1002/cpp.1868
PubMed: 24115489
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pubmed:24115489Le document en format XML
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Recent studies showed that it is possible to identify several patient subgroups with regard to their early change pattern. However, although focusing on the early phase of treatment, change patterns in later stages have hardly been investigated yet. In this study, Growth Mixture Modelling was used to identify latent change classes in different phases of therapy in a naturalistic sample of 1229 psychotherapy outpatients. Furthermore, this paper inquired into the relation between the change patterns in different phases as well as their predictive power for therapy length and outcome. Results revealed different change patterns for the three investigated phases. While in an early treatment phase, (sessions one-six) five different change patterns could be identified: the number of change classes decreased considerably over time, resulting in three patterns in the second (sessions 7-12) and two in the third phase (sessions 13-18). In each phase, by far, the biggest class showed a pattern of good progress with small/no further improvements.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24115489</PMID><DateCreated><Year>2015</Year><Month>01</Month><Day>27</Day></DateCreated><DateCompleted><Year>2015</Year><Month>11</Month><Day>16</Day></DateCompleted><DateRevised><Year>2015</Year><Month>01</Month><Day>27</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1099-0879</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>1</Issue><PubDate><MedlineDate>2015 Jan-Feb</MedlineDate></PubDate></JournalIssue><Title>Clinical psychology & psychotherapy</Title><ISOAbbreviation>Clin Psychol Psychother</ISOAbbreviation></Journal><ArticleTitle>Patterns of change in different phases of outpatient psychotherapy: a stage-sequential pattern analysis of change in session reports.</ArticleTitle><Pagination><MedlinePgn>1-14</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/cpp.1868</ELocationID><Abstract><AbstractText Label="UNLABELLED">Knowledge about typical change patterns of psychotherapy patients can help to improve treatment guidelines for psychological disorders. Recent studies showed that it is possible to identify several patient subgroups with regard to their early change pattern. However, although focusing on the early phase of treatment, change patterns in later stages have hardly been investigated yet. In this study, Growth Mixture Modelling was used to identify latent change classes in different phases of therapy in a naturalistic sample of 1229 psychotherapy outpatients. Furthermore, this paper inquired into the relation between the change patterns in different phases as well as their predictive power for therapy length and outcome. Results revealed different change patterns for the three investigated phases. While in an early treatment phase, (sessions one-six) five different change patterns could be identified: the number of change classes decreased considerably over time, resulting in three patterns in the second (sessions 7-12) and two in the third phase (sessions 13-18). In each phase, by far, the biggest class showed a pattern of good progress with small/no further improvements.</AbstractText><AbstractText Label="KEY PRACTITIONER MESSAGES" NlmCategory="UNASSIGNED">Most change in patients' progress estimates took place in an early phase of the treatment and levelled out on a relatively high level in later phases of the treatment. Substantial improvements were still present in later phases of the treatment but occurred less frequent than in early stages. Continuous outcome monitoring and feedback systems should integrate progress measures to monitor patients progress especially in the early phase of the treatment and feed the so gained information back to therapists.</AbstractText><CopyrightInformation>Copyright © 2013 John Wiley & Sons, Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rubel</LastName><ForeName>Julian</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Clinical Psychology & Psychotherapy, University of Trier, Trier, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lutz</LastName><ForeName>Wolfgang</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Schulte</LastName><ForeName>Dietmar</ForeName><Initials>D</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>10</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Clin Psychol Psychother</MedlineTA><NlmUniqueID>9416196</NlmUniqueID><ISSNLinking>1063-3995</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001523" MajorTopicYN="N">Mental Disorders</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010045" MajorTopicYN="N">Outpatients</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011613" MajorTopicYN="N">Psychotherapy</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Differential Change Patterns</Keyword><Keyword MajorTopicYN="N">Growth Mixture Modelling</Keyword><Keyword MajorTopicYN="N">Patient-focused Research</Keyword><Keyword MajorTopicYN="N">Session Reports</Keyword><Keyword MajorTopicYN="N">Transition Analysis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>12</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>08</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>08</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>10</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>10</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>11</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24115489</ArticleId><ArticleId IdType="doi">10.1002/cpp.1868</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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