Tracking changes in physical activity during inpatient treatment in a psychiatric clinic in Germany by asking two simple questions.
Jannik RoemplerMoritz Bruno PetzoldAntonia BendauJens PlagAndreas StröhlePublished in: European archives of psychiatry and clinical neuroscience (2023)
Increasing physical activity is essential to improve psychiatric patients' physical and mental health. This study aimed to characterise the physical activity levels of inpatients in a general psychiatric clinic and to determine the feasibility of using a simple tool in everyday practice to assess physical activity levels in standard patient documentation. We assessed the level of physical activity undertaken by patients treated on an inpatient basis in a psychiatric hospital over 20 months. A total of 328 patients were included in the analysis. Physical activity was measured using a slightly altered version of the Exercise as a vital sign (EVS) questionnaire. All information was extracted from letters of discharge. During inpatient treatment, moderate to vigorous activity levels increased, and more patients engaged in physical activity. Patients with mood or anxiety disorders displayed the most considerable increase in physical activity. Patients with other diagnoses, such as schizophrenia, benefitted less or not at all. Factors associated with physical activity included-among others-history of substance use, education and month of admission. Investigating the feasibility of standardised documentation of physical activity showed fluctuation in documentation rates throughout the study. The level of physical activity performed by psychiatric patients can be increased during inpatient treatment. Implementing physical activity level as part of standard patient documentation is a first step in gathering data to assess the need for interventions to achieve an optimal physical activity in psychiatric patients throughout inpatient treatment.
Keyphrases
- physical activity
- mental health
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- body mass index
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- palliative care
- healthcare
- emergency department
- sleep quality
- prognostic factors
- machine learning
- patient reported outcomes
- artificial intelligence
- health information
- advance care planning