Smartphone applications (“apps”) may contribute to closing the treatment gap for depression by reaching large populations at relatively low costs. The general public seems open towards the use of ...apps for mental disorders but less is known about the attitudes of health care professionals. Therefore, the aim of this study was to examine the available evidence on the effectiveness of apps for depression and to explore the attitudes of health care professionals towards their use in practice. A systematic literature search was performed aimed at studies utilizing smartphone applications for depression. In addition, a survey was conducted to explore health care professionals’ attitudes towards using these treatment apps in clinical practice. Twelve articles were identified in the systematic literature review. All included trials reported a decline in depressive symptoms after the intervention periods. In the survey, 72 health care professionals participated. Significant differences were found between the level of technology experience and how much the health care professional would consider the use of mobile applications in clinical practice. Survey participants reported openness towards therapeutic app use but very little knowledge and experience in the field. Apps appear to be a promising self-management tool for reducing depressive symptoms. Despite some concerns, health care professionals’ attitudes towards the use of smartphone applications in clinical practice are quite positive. The provision of information on the potential benefits of e-health interventions as well as the training of professionals in the application of new technologies may increase health care professionals’ awareness and knowledge about mobile apps for the treatment of mental disorders.
Schizophrenia research is providing an increasing number of studies and important insights into the condition's etiopathogenesis based on genetic, neuropsychological and cranial neuroimaging studies. ...However, research progress has not yet led to the incorporation of such findings into the revised classification criteria of mental disorders or everyday clinical practice. By 2020, schizophrenia will most likely still be a clinically defined primary psychotic disorder. While there is some hope that treatment will be improved with new antipsychotic drugs, drugs addressing negative symptoms, more refined psychotherapy approaches and the introduction of new treatment modalities like transcranial magnetic stimulation, an additional hope is to improve early detection and prevention. As the results of new research into the etiopathogenesis of schizophrenia are promising to improve diagnosis, classification and therapy in the future, a picture of complex brain dysfunction is currently emerging requiring sophisticated mathematical methods of analysis. The imminent clinical challenge will be to develop comprehensive diagnostic and treatment modules individually tailored to the time‐variable needs of patients and their families.
During the Coronavirus-19 (COVID-19) pandemic, considerable changes occurred in the utilization of mental health care.
We conducted an analysis of the changes of inpatient and day patient mental ...health care utilization in an association of psychiatric hospitals during the COVID-19 pandemic.
We used the statistics database of the association of nine psychiatric hospitals of the Rhineland Regional Council (Landschaftsverband Rheinland, LVR). We compared the case numbers of spring 2019 and spring 2020 and analyzed alterations in the diagnostic spectrum. Finally, we analyzed the age, gender, and diagnoses of patients tested positive for COVID-19.
A total of 25,612 inpatient psychiatric hospital admissions were assessed. Case rates decreased by 25% during the COVID-19 pandemic. Changes varied between diagnostic groups, and there were even increases in case numbers for certain diagnoses. Women and patients of higher ages were overrepresented among psychiatric inpatients with COVID-19.
The COVID-19 pandemic resulted in considerable reductions in the total number of mental health-care admissions and in changes in the diagnostic spectrum. The results may be explainable by deferrals of elective hospital admissions during the acute phase of the pandemic and by destabilizing effects of the pandemic and social distancing on people with mental disorders.
Abstract Background Involuntary psychiatric hospitalisation occurs under different legal premises. According to German law, detention under the Mental Health Act (MHA) is possible in cases of ...imminent danger of self-harm or harm to others, while detention according to the legal guardianship legislation (LGL) serves to prevent self-harm if there is considerable but not necessarily imminent danger. This study aims to compare clinical, sociodemographic and environmental socioeconomic differences and similarities between patients hospitalised under either the MHA or LGL. Methods We conducted a retrospective health records analysis of all involuntarily hospitalised cases in the four psychiatric hospitals of the city of Cologne, Germany, in 2011. Of the 1,773 cases, 87.3% were detained under the MHA of the federal state of North Rhine-Westphalia and 6.4% were hospitalised according to the federal LGL. Another 6.3% of the cases were originally admitted under the MHA, but the legal basis of detention was converted to LGL during the inpatient psychiatric stay (MHA→LGL cases). We compared sociodemographic, clinical, systemic and environmental socioeconomic (ESED) variables of the three groups by means of descriptive statistics. We also trained and tested a machine learning-based algorithm to predict class membership of the involuntary modes of psychiatric inpatient care. Results Cases with an admission under the premises of LGL lived less often on their own, and they were more often retired compared to MHA cases. They more often had received previous outpatient or inpatient treatment than MHA cases, they were more often diagnosed with a psychotic disorder and they lived in neighbourhoods that were on average more socially advantaged. MHA→LGL cases were on average older and more often retired than MHA cases. More often, they had a main diagnosis of an organic mental disorder compared to both MHA and LGL cases. Also, they less often received previous psychiatric inpatient treatment compared to LGL cases. The reason for detention (self-harm or harm to others) did not differ between the three groups. The proportion of LGL and MHA cases differed between the four hospitals. Effect sizes were mostly small and the balanced accuracy of the Random Forest was low. Conclusion We found some plausible differences in patient characteristics depending on the legal foundation of the involuntary psychiatric hospitalisation. The differences relate to clinical, sociodemographic and socioeconomical issues. However, the low effect sizes and the limited accuracy of the machine learning models indicate that the investigated variables do not sufficiently explain the respective choice of the legal framework. In addition, we found some indication for possibly different interpretation and handling of the premises of the law in practice. Our findings pose the need for further research in this field.
Within the last five years the number of homeless persons in Germany has more than doubled, with many suffering from mental illnesses that require treatment. Whether the mental illness itself led to ...losing shelter or whether the state of being homeless increased the likelihood of developing symptoms of a mental disorder remains unclear. The current study assessed the interaction of homelessness and mental illness from a care provider perspective.
We conducted a retrospective analysis of inpatient routine data from 20 psychiatric hospitals in North Rhine-Westphalia (NRW), Germany, over a period of four years (N = 366,767 inpatient treatment cases). Patients were considered "homeless" if they had no fixed unique address.
About 2.4% of the analyzed cohort was classified as homeless, with increasing tendency over the study period (+14% from 2016 to 2019). The percentage of homeless patients varied broadly between the hospitals (0.2-6.3%). Homeless patients were more often male and on average eight years younger than patients with a fixed address. Homeless patients experienced more involuntary measures (admission and restraint), had a shorter course of treatment and were more often discharged within one day. Every second homeless case was diagnosed with a substance use disorder and every third homeless case with a psychotic disorder, whereas affective disorders were diagnosed less frequently in this group. Psychiatric comorbidity occurred more often in homeless patients whereas somatic diseases did not.
Multiple patient-related sociodemographic and local factors are associated with homelessness of psychiatric inpatients. In addition, clinical factors differ between homeless and non-homeless patients, pointing to more severe mental illness and treatment complications (e.g., coercive measures) in homeless persons. Thus, homelessness of psychiatric inpatients can imply special challenges that need to be considered by healthcare providers and politicians, with the goal of optimizing mental and social care and the mental health outcomes of homeless persons.
Internet-delivered interventions can be effective in treating mental disorders. However, their rate of use in German psychiatric inpatient routine care is low. The current study aimed to investigate ...the attitude of mental health care professionals working in inpatient care regarding internet-delivered interventions, including presumed benefits, barriers and facilitators. In total, 176 health professionals from ten inpatient psychiatric hospitals throughout Germany were surveyed on site. The professionals’ attitude towards internet-delivered interventions in inpatient care was assessed by an adapted version of the ‘Attitude toward Telemedicine in Psychiatry and Psychotherapy’ (ATTiP) questionnaire. To identify benefits, barriers and facilitators, we developed open-response questions that were based on the ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT) and analyzed by a qualitative content analysis. Professionals reported little experience or knowledge about internet-delivered interventions. Their attitude towards internet-delivered interventions in psychiatric inpatient care was rather indifferent. The most frequently mentioned potential benefits were an optimised treatment structure and patient empowerment; the most frequently anticipated barriers were too severe symptoms of patients, the feared neglect of face-to-face contacts and insufficient technical equipment; and the most frequently mentioned facilitators were high usability of the internet-based intervention, a sufficient functional level of the patient and further education of staff. For successful implementation in the inpatient sector, internet-delivered interventions must be adapted to the special needs of severely mentally ill patients and to the hospital management systems and workflow. In addition, technical preconditions (internet access, devices) must be met. Last, further education of mental health care professionals is needed.
During the first phase of the Coronavirus-19 disorder (COVID-19) pandemic in the spring of 2020, utilization of inpatient mental healthcare was significantly reduced. We now report on a long-term ...observational study of inpatient mental healthcare in a large psychiatric hospital association in North Rhine-Westphalia, Germany, covering the second and third pandemic waves of autumn and winter 2020 followed up until June 2021.
Analysis of the changes of inpatient and day patient mental healthcare utilization in an association of psychiatric hospitals during the COVID-19 pandemic from January 2020 until June 2021.
We used the statistics database of the association of the nine psychiatric hospitals of the Rhineland Regional Council (Landschaftsverband Rheinland, LVR). We compared the case numbers of the pandemic period with previous years and analyzed changes in the diagnostic spectrum, rates of coercion and therapeutic outcomes. We also analyzed age, gender, diagnoses and coercive measures of patients tested positive for COVID-19 during inpatient psychiatric healthcare.
Case rates were reduced during and after the COVID-19 pandemic episodes of 2020 and the following months of spring and summer 2021. Changes varied between diagnostic groups, and there were even increases of case numbers for acute psychotic disorders. Coercive measures increased during the pandemic, but therapeutic outcomes were maintained at the pre-pandemic level. Women and patients of higher ages were overrepresented among psychiatric inpatients with COVID-19.
The COVID-19 pandemic led to over during reductions of inpatient psychiatric hospital admissions and changes of the diagnostic spectrum accompanied by increased rates of coercive measures. These effects may reflect an overall increased severity of mental disorders during the COVID-19 pandemic, deferrals of inpatient admissions or a lack of outpatient mental healthcare services utilization. To differentiate and quantitate these potential factors, further studies in the general population and in the different mental healthcare sectors are needed. In order to reduce the number of COVID-19 cases in psychiatric hospitals, vaccination of people of higher ages and with dementias seem to be the most needed strategy.
The purpose of our study was to identify predictors of a high risk of involuntary psychiatric in-patient treatment.
We carried out a detailed analysis of the 1773 mental health records of all the ...persons treated as in-patients under the PsychKG NRW (Mental Health Act for the state of North Rhine-Westphalia, Germany) in a metropolitan region of Germany (the City of Cologne) in 2011. 3991 mental health records of voluntary in-patients from the same hospitals served as a control group. We extracted medical, sociodemographic and socioeconomic data from these records. Apart from descriptive statistics, we used a prediction model employing chi-squared automatic interaction detection (CHAID).
Among involuntary patients, organic mental disorders (ICD10: F0) and schizophrenia and other psychotic disorders (ICD10: F2) were overrepresented. Patients treated as in-patients against their will were on average older, they were more often retired and had a migratory background. The Exhaustive CHAID analysis confirmed the main diagnosis to be the strongest predictor of involuntary in-patient psychiatric treatment. Other predictors were the absence of outpatient treatment prior to admission, admission outside of regular service hours and migratory background. The highest risk of involuntary treatment was associated with patients with organic mental disorders (ICD 10: F0) who were married or widowed and patients with non-organic psychotic disorders (ICD10: F2) or mental retardation (ICD10: F7) in combination with a migratory background. Also, referrals from general hospitals were frequently encountered.
We identified modifiable risk factors for involuntary psychiatric in-patient treatment. This implies that preventive measures may be feasible and should be implemented to reduce the rate of involuntary psychiatric in-patient treatment. This may include efforts to establish crisis resolution teams to improve out-patient treatment, train general hospital staff in deescalation techniques, and develop special programs for patients with a migratory background.
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