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Global Functioning and Mental Health Parameters: Examining Interplay and Improvements in Inpatient Psychiatry
Alexander Finner1, Melanie Lenger1, Nina Dalkner1
1Clinical Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Global functioning in psychiatric care improved significantly, with clinician-rated depression being the strongest predictor. Integrating clinician and self-rated measures may enhance reliability for mental health treatment.
Area of Science:
- Psychiatry
- Mental Health Research
- Clinical Psychology
Background:
- Global functioning is a standard clinician-rated measure in inpatient psychiatric care.
- Its broad scope may limit sensitivity to specific mental health changes.
- This study investigates the interplay between global functioning and various mental health parameters.
Purpose of the Study:
- To examine the relationship and improvements in global functioning alongside depression severity, sleep quality, quality of life, life satisfaction, and mood level.
- To identify predictors of global functioning at admission, discharge, and over time in psychiatric inpatients.
Main Methods:
- 561 inpatients were assessed at admission and discharge.
- Measures included clinician- and self-rated depression, sleep quality, quality of life, life satisfaction, and mood.
- ANCOVAs and multiple linear regressions were used to analyze changes and predictors.
Main Results:
- Global functioning and most mental health parameters significantly improved (p < 0.001-0.019), excluding sleep quality.
- Clinician-rated depression severity was the strongest predictor of global functioning (β = -0.56 to -0.47, p < 0.001).
- Life satisfaction predicted improvement at admission (β = 0.27, p = 0.038); lower sleep quality correlated with higher global functioning (β = 0.16, p = 0.041).
Conclusions:
- A strong association between clinician-rated measures suggests a potential halo effect.
- Integrating clinician- and self-rated measures is proposed for enhanced diagnostic reliability.
- Visualizing integrated data could improve the assessment of mental health treatment effectiveness.
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