How to measure outcome? A perspective from the dynamic complex systems approach.
The evaluation and assessment of outcome is an important issue in psychotherapy research and practice. Since the beginning of empirical research, the effectiveness of treatments has been in the focus of interest to optimise mental health care. Despite this importance, the assessment of outcome by pr...
| Publicado en: | Counselling & Psychotherapy Research Vol. 22; no. 4; pp. 937 - 946 |
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| Autores principales: | , , , , |
| Formato: | questions and answers tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159612345&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159612345 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14733145 TFX jtl: Counselling & Psychotherapy Research issn: 14733145 maglogo: Y pubinfo: dt: Dec2022 vid: 22 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 159612345 155279290 159612345 159612345 10.1002/capr.12521 159612345 ppf: 937 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: How to measure outcome? A perspective from the dynamic complex systems approach. aug: au: Schiepek, Günter de Felice, Giulio Desmet, Mattias Aichhorn, Wolfgang Sammet, Isa affil: Institute of Synergetics and Psychotherapy Research, Paracelsus Medical University, Salzburg, Austria sug: subj: Mental Disorders Therapy Psychotherapy Outcome Assessment Evaluation Self Assessment Smartphone Treatment Outcomes Memory Data Collection ab: The evaluation and assessment of outcome is an important issue in psychotherapy research and practice. Since the beginning of empirical research, the effectiveness of treatments has been in the focus of interest to optimise mental health care. Despite this importance, the assessment of outcome by pre‐to‐post comparisons of point measures is hampered by some limitations. These include, amongst others, the predominant use of standard questionnaires neglecting personalised outcome criteria, the focus on point measures that ignore dynamic patterns representing the volatility of mental functioning, memory biases that become important if a recall of longer time periods is urged, and the non‐ergodicity of trajectories of change. Based on new methods of digitalised data collection in the real‐life setting of patients, some conclusions for process and outcome monitoring can be drawn: first, most mental diseases are characterised by specific dynamic patterns (dynamic diseases) whose changes can be assessed by high‐frequency time sampling, for example daily assessments of patients. Second, personal criteria for self‐assessments can be identified by multiperspective case formulations. Third, electronic devices such as smartphones allow for data collection in the real‐world settings of patients, which gives access to experiences in their ecosystems. pubtype: Academic Journal doctype: questions and answers tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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