Abstract
Purpose
With the limited availability of mental healthcare, it is of utmost importance to provide care that matches the needs
of patients: short if possible, but also more intense when necessary. This study explored whether Early Maladaptive Schemas
(EMSs) play a predictive role in the intensity of needed mental health treatment of cancer-related psychopathology.
Methods
EMSs were assessed before mental health treatment in 256 patients who sought help at a specialized mental health
care centre for those affected by cancer in the Netherlands. Data about treatment indication and intensity of mental health
treatment were collected. Univariate and multivariate logistic regression analysis were used to assess the predictive value of
the EMSs total score and specific domains on treatment indication and treatment intensity.
Results
The presence of more severe EMSs predicted an indication for a more intense mental health treatment before start of
the treatment, and actual more intense mental health treatment. The domain Impaired Autonomy and Performance appeared
to be conceptually close to the domain Disconnection and Rejection, we left the latter out in our multivariate analysis and
then found that Impaired Autonomy was the best predictor of intensity of mental health treatment.
Conclusion
Our findings imply that assessing EMSs could help to identify patients who will receive more treatment time.
With the limited availability of mental healthcare, it is of utmost importance to provide care that matches the needs
of patients: short if possible, but also more intense when necessary. This study explored whether Early Maladaptive Schemas
(EMSs) play a predictive role in the intensity of needed mental health treatment of cancer-related psychopathology.
Methods
EMSs were assessed before mental health treatment in 256 patients who sought help at a specialized mental health
care centre for those affected by cancer in the Netherlands. Data about treatment indication and intensity of mental health
treatment were collected. Univariate and multivariate logistic regression analysis were used to assess the predictive value of
the EMSs total score and specific domains on treatment indication and treatment intensity.
Results
The presence of more severe EMSs predicted an indication for a more intense mental health treatment before start of
the treatment, and actual more intense mental health treatment. The domain Impaired Autonomy and Performance appeared
to be conceptually close to the domain Disconnection and Rejection, we left the latter out in our multivariate analysis and
then found that Impaired Autonomy was the best predictor of intensity of mental health treatment.
Conclusion
Our findings imply that assessing EMSs could help to identify patients who will receive more treatment time.
Original language | English |
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Article number | 325 |
Number of pages | 9 |
Journal | Supportive Care in Cancer |
Volume | 31 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- Adaptation, Psychological
- Humans
- Mental Health
- Multivariate Analysis
- Neoplasms/therapy
- Psychopathology
- Psychotherapy
- Surveys and Questionnaires