Publications by authors named "S S Harnas"

This systematic literature review aimed to propose a definition of personalized psychological treatment and to suggest how the definition can be operationalized. PsycINFO, Cochrane Library, MEDLINE and EMBASE were searched up to 11 December 2023 for studies in which a definition of personalized psychological treatment was included or a systematic operationalization of personalized psychological treatment was described. Based on a narrative synthesis of the collected definitions, summary categories were developed that informed the proposed definition.

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Article Synopsis
  • - The study examined how three different methods for prioritizing symptoms in cancer survivors (patient preference, symptom severity, and timing of symptoms) influenced treatment recommendations for issues like fear of recurrence, depression, and fatigue.
  • - Results showed limited agreement among the methods, with moderate correlation between patient preference and symptom severity; many patients preferred treatment for fatigue, while symptom severity primarily indicated treatment for fear of recurrence.
  • - The findings suggest that these three methods lead to varying treatment suggestions, highlighting the need for further research and the importance of involving patients in decision-making to tailor psychological interventions effectively.
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Background: Fear of cancer recurrence, depressive symptoms, and cancer-related fatigue are prevalent symptoms among cancer survivors, adversely affecting patients' quality of life and daily functioning. Effect sizes of interventions targeting these symptoms are mostly small to medium. Personalizing treatment is assumed to improve efficacy.

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Introduction: A common approach to personalizing psychological interventions is the allocation of treatment modules to individual patients based on cut-off scores on questionnaires, which are mostly based on group studies. However, this way, intraindividual variation and temporal dynamics are not taken into account. Automated individual time series analyses are a possible solution, since these can identify the factors influencing the targeted symptom in a specific individual, and associated modules can be allocated accordingly.

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