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104 results for “psychiatry”
Implementation of guidelines on prevention of coercion and violence (PreVCo) in psychiatry
<p><span><span>Fifty-four psychiatric wards in Germany treating voluntary and involuntary patients were randomly allocated to either an intervention or to a waiting list condition. The intervention consisted of the implementation of three out of 12 suggested recommendations as selected by the ward teams, supported by external study workers. As the primary outcome measure, the number of coercive measures used per bed and month in the final 3 months of the intervention period was determined. Secondary outcomes were the cumulative duration of coercive measures used per bed and months and assaults per bed and month. </span></span><span><span>Achieved guideline adherence was measured by a fidelity scale developed for this purpose during a pilot study for the PreVCo Rating Tool. After a 3-month baseline collection period under routine conditions, randomisation was done after matching wards pairwise according to frequency of coercive measures used and scores on the PreVCo Rating Tool at baseline. </span></span></p>
Current Opinion in Psychiatry - Air pollution and Neurodevelopment Paper Method and Dataset
<p>The dataset for this research was compiled through an advanced PubMed search targeting publications from a one-year period. Keywords focused on air pollution, neurodevelopment, and associated disorders. From an initial pool of 5,000 publications, filtering based on co-occurrence of relevant keywords reduced this to approximately 80 papers. VOSviewer was employed to analyze co-occurrences and generate a visual map of relationships between air pollution and child neurodevelopment. The thesaurus was applied to standardize terminology, refining the final network for detailed analysis of keyword clusters and their interactions.</p>
Treating Tobacco Dependence in Inpatient Psychiatry - 1
ClinicalTrials.gov study NCT00136812. IPD Sharing: NO. Countries: 1. Publications: 1.
Event Marker Ingested To Trigger Event Recorder 3.0 Psychiatry Study
ClinicalTrials.gov study NCT01804257. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Reminder Changes to Increase Smoking Cessation Treatment in Outpatient Psychiatry
ClinicalTrials.gov study NCT04071795. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Tobacco Treatment Strategies for Inpatient Psychiatry
ClinicalTrials.gov study NCT00968513. IPD Sharing: NO. Countries: 1. Publications: 3.
Bridge: Proactive Psychiatry Consultation and Case Management for Patients With Cancer
ClinicalTrials.gov study NCT03360695. IPD Sharing: NO. Countries: 1. Publications: 1.
Implementation of guidelines on prevention of coercion and violence (PreVCo) in psychiatry
Open the record for dataset details and reuse information.
IMaging-PsychiAtry Challenge rfMRI data
<p>Autism spectrum disorder (ASD) is a severe psychiatric disorder that affects 1 in 166 children.</p> <p>There is evidence that ASD is reflected in individuals brain networks and anatomy. Yet, it remains unclear how systematic these effects are, and how large is their predictive remain unclear. The large cohort assembled here can bring some anwsers. Predicting autism from brain imaging will provide biomarkers and shed some light on the mechanisms of the pathology.</p> <p><a href="https://github.com/ramp-kits/autism">https://github.com/ramp-kits/autism</a></p>
Online Tables for the thesis "Clustering approaches for patient stratification in psychiatry" by Jonas Hagenberg
<p>This repository contains the online tables that accompany my thesis "Clustering approaches for patient stratification in psychiatry".</p> <p>In the following, I list the description of all tables:</p> <p> </p> <div> <div> <p>1: Information about somatic diseases and medication separated by status (participants labeled as cases and used in the clustering as well as controls without a DSM-IV diagnosis). N data denotes the number of individuals who had the information available. The medication information was not available for the OPTIMA cohort. N denotes the individuals who were affected by the disease or took the medication.</p> <p>2: Missingness and coefficient of variation information of the immune marker data for 237 participants used in the clustering and 36 controls without a DSM-IV diagnosis. The coefficient of variation was calculated from three internal controls that were run in duplicates.</p> <p>3: Variable importance of all variables the initial clustering. The variable importance is calculated as the F-value from an ANOVA model with the clusters as independent variables. The variable importance cannot be interpreted as a p-value as the variables were already used in the clustering, thereby inflating the p-values. Full version of supplementary table 3.</p> <p>4: Variable importance of all gene sets in the initial clustering. Full version of supplementary table 8.</p> <p>5: Variable importance of all variables the secondary analysis corrected for age, sex and BMI. Full version of supplementary table 9.</p> <p>6: Variable importance of all variables the exploratory analysis including cell type proportions. Full version of supplementary table 10.</p> <p>7: Variable importance of all gene sets in the exploratory analysis including cell type proportions. Full version of supplementary table 11.</p> <p>8: Differentially expressed genes with regard to the CRP concentration separated by cell type. The analysis was performed with DESeq2 and the model contained CRP, IL-6 and BMI. Full version of supplementary table 12.</p> <p>9: Differentially expressed genes with regard to the IL-6 concentration separated by cell type. The analysis was performed with DESeq2 and the model contained CRP, IL-6 and BMI. Full version of supplementary table 13.</p> <p>10: Enriched hallmark gene sets with regard to CRP calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type.</p> <p>11: Enriched hallmark gene sets with regard to IL-6 calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type.</p> <p>12: Enriched hallmark gene sets with regard to BMI calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type.</p> <p>13: Enriched GO biological pathway gene sets with regard to CRP calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type. Full version of supplementary table 15.</p> <p>14: Enriched GO biological pathway gene sets with regard to IL-6 calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type.</p> <p>15: Enriched GO biological pathway gene sets with regard to BMI calculated with the results from the model containing CRP, IL-6 and BMI separated by cell type.</p> <p>16: Differentially expressed genes with regard to the CRP concentration separated by cell type. The analysis was performed with DESeq2 and the model contained CRP and IL-6.</p> <p>17: Differentially expressed genes with regard to the IL-6 concentration separated by cell type. The analysis was performed with DESeq2 and the model contained CRP and IL-6.</p> <p>18: Differentially expressed genes with regard to the CRP concentration separated by cell type. The analysis was performed with DESeq2 and the model contained CRP and BMI.</p> <p>19: Differentially expressed genes with regard to BMI separated by cell type. The analysis was performed with DESeq2 and the model contained CRP and BMI.</p> <p>20: Differentially expressed genes with regard to the IL-6 concentration separated by cell type. The analysis was performed with DESeq2 and the model contained IL-6 and BMI.</p> <p>21: Differentially expressed genes with regard to BMI separated by cell type. The analysis was performed with DESeq2 and the model contained IL-6 and BMI.</p> <p>22: Differentially expressed genes with regard to the CRP concentration separated by cell type. The analysis was performed with DESeq2 and the model contained only CRP.</p> <p>23: Differentially expressed genes with regard to the IL-6 concentration separated by cell type. The analysis was performed with DESeq2 and the model contained only IL-6.</p> <p>24: Differentially expressed genes with regard to BMI separated by cell type. The analysis was performed with DESeq2 and the model contained only BMI.</p> <p>25: Variable importance of initial multi-omics clustering of the DEGs identified in the single cell data set.</p> </div> </div>
Fig. 8 in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 8. Known distribution of Onthophagus chevrolati, Onthophagus retusus, and Onthophagus aureofuscus in Mexico.
Fig. 5. Onthophagus howdeni. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 5. Onthophagus howdeni. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 4. Onthophagus howdenorum. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 4. Onthophagus howdenorum. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 1. Onthophagus aureofuscus. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 1. Onthophagus aureofuscus. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 7. Onthophagus zapotecus. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 7. Onthophagus zapotecus. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 3. Onthophagus retusus. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 3. Onthophagus retusus. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 6. Onthophagus oaxacanus. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 6. Onthophagus oaxacanus. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Fig. 2. Onthophagus chevrolati. A in Entwicklung Medizintechnik 2019 bis 2030 : stationäre Rehabilitation & stationäre Psychiatrie
Fig. 2. Onthophagus chevrolati. A) Illustration of female, B) Illustration of male, C) Female, dorsal habitus, D) Male, dorsal habitus.
Matching Registered Nurse Services With Changing Care Demands in Psychiatric Hospitals: A Multicenter Observational Study (MatchRN Psychiatry Study). Data from the Nurse Survey
<p>Match<sup>RN</sup> Psychiatry is a multicenter observational study of Swiss psychiatric hospitals. This study's purpose is to describe health care quality by exploring hospital structures such as nurse staffing and the work environment; processes such as the rationing of care; nurse outcomes, including job satisfaction and work-life balance. The sample for this study included approximately 1200 nurses from 115 units of 13 psychiatric hospitals in Switzerland's German-speaking region. The nurse survey covered three dimensions: work environment, patient safety climate, and the rationing of care. Data were collected between September 2019 and June 2021. The Match<sup>RN</sup> Psychiatry study is funded by the participating psychiatric hospitals and the Swiss Psychiatric Nursing Leaders Association (Vereinigung Pflegekader Psychiatrie Schweiz).</p>
A Useful Support System for Psychiatric Diagnostics and Follow-up in Adult Psychiatry and Primary Care (ASPP)
ClinicalTrials.gov study NCT05827406. IPD Sharing: NO. Countries: 1. Publications: 9.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.