Association of behavioral “Theory of Mind” Test performance with neurophysiological and vegetative parameters in schizophrenia patients and healthy subjects

2017 ◽  
Vol 41 (S1) ◽  
pp. S766-S767
Author(s):  
Z. Garakh ◽  
Y. Zaytseva ◽  
A. Morozova ◽  
V. Strelets
Keyword(s):  
Theory Of Mind ◽  
Task Performance ◽  
Resting State ◽  
Healthy Subjects ◽  
Chronically Ill ◽  
Physiological Parameters ◽  
Classification Model ◽  
Imagery Task ◽  
Mu Rhythm ◽  
Chronically Ill Patients

IntroductionTheory of Mind (ToM) deficit is investigated by psychological and neurobiological methods using a range of social cognitive tests, including the verbal test Hinting Task. However, it remains unclear whether there is a connection between ToM results and the physiological characteristics in norm and in pathology.ObjectivesWe performed the comparison of Hinting Task performance in patients with schizophrenia and healthy subjects; analysis of correlations between Hinting Task performance with physiological parameters; discriminant analysis in order to classify subject groups according to predictors, including psychological and physiological parameters.MethodsWe measured Hinting Task, spectral power of the EEG mu-rhythm (SP) and heart rate (HR) at rest and during a motion imagery task in 114 right-handed subjects, 1st episode patients with schizophrenia (SCH1) n = 29, chronically ill patients with schizophrenia, duration of illness more than 5 years, (SCH2) n = 23, and healthy subjects (НС) n = 62.ResultsHinting Task rate: HC > SCH2 (P < 0.01), HC ≥ SCH1 (P = 0.07), SCH1 = SCH2 (P = 0.3). Only SCH1 Hinting Task score was associated with a complex of physiological parameters in the resting state [Multiple R = 0.78, F (3.25) = 13.31, P < 0.0001]. Discriminant function analysis of HC and the combined SCH group [F (7.106) = 7.078, P < 0.0000]. The samples were classified at 89% and 71%, respectively, including HR (P < 0.000001), SP in the resting state in C4 (P < 0.001), C3 (P < 0.01), SP changes in C3 (P < 0.05) and Hinting Task (P = 0.2).ConclusionsHinting Task Hinting Task is a part of classification model of norm and schizophrenia. Patients with first episode and chronically ill patients with schizophrenia do not differ in the studied parameters.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Age, disease, and cimetidine disposition in healthy subjects and chronically ill patients

1981 ◽  
Vol 29 (6) ◽  
pp. 737-743 ◽  
Author(s):  
Jerome J Schentag ◽  
Frank B Cerra ◽  
Genevieve M Calleri ◽  
Mary E Leising ◽  
Margaret A French ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Chronically Ill ◽  
Chronically Ill Patients

scholarly journals Metabolic resting-state brain networks in health and disease

2015 ◽  
Vol 112 (8) ◽  
pp. 2563-2568 ◽  
Author(s):  
Phoebe G. Spetsieris ◽  
Ji Hyun Ko ◽  
Chris C. Tang ◽  
Amir Nazem ◽  
Wataru Sako ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Task Performance ◽  
Resting State ◽  
Healthy Subjects ◽  
Time Course ◽  
Total Activity ◽  
Metabolic Imaging ◽  
Health And Disease ◽  
Network Functionality

The delineation of resting state networks (RSNs) in the human brain relies on the analysis of temporal fluctuations in functional MRI signal, representing a small fraction of total neuronal activity. Here, we used metabolic PET, which maps nonfluctuating signals related to total activity, to identify and validate reproducible RSN topographies in healthy and disease populations. In healthy subjects, the dominant (first component) metabolic RSN was topographically similar to the default mode network (DMN). In contrast, in Parkinson’s disease (PD), this RSN was subordinated to an independent disease-related pattern. Network functionality was assessed by quantifying metabolic RSN expression in cerebral blood flow PET scans acquired at rest and during task performance. Consistent task-related deactivation of the “DMN-like” dominant metabolic RSN was observed in healthy subjects and early PD patients; in contrast, the subordinate RSNs were activated during task performance. Network deactivation was reduced in advanced PD; this abnormality was partially corrected by dopaminergic therapy. Time-course comparisons of DMN loss in longitudinal resting metabolic scans from PD and Alzheimer’s disease subjects illustrated that significant reductions appeared later for PD, in parallel with the development of cognitive dysfunction. In contrast, in Alzheimer’s disease significant reductions in network expression were already present at diagnosis, progressing over time. Metabolic imaging can directly provide useful information regarding the resting organization of the brain in health and disease.

Prevalence and correlates for stress among caregivers for chronically ill patients at Ndola teaching hospital

2017 ◽  
Vol 4 (3) ◽  
pp. 107-111
Author(s):  
Davies Simukoko ◽  
◽  
David Mulenga ◽  
Victor Mwanakasale ◽  
◽  
...  
Keyword(s):  
Teaching Hospital ◽  
Chronically Ill ◽  
Chronically Ill Patients

PatientConcept App � an innovative tool to improve therapy adherence and to implement risk management plans. (Preprint)

2018 ◽  
Author(s):  
Michael Lang ◽  
Martin Mayr ◽  
Stefan Ringbauer ◽  
Lukas Cepek
Keyword(s):  
Risk Management ◽  
Disease Management ◽  
Chronically Ill ◽  
Patient Reported Outcome ◽  
Outcome Data ◽  
Daily Routine ◽  
Software Application ◽  
Patient Reported ◽  
Management Plans ◽  
Chronically Ill Patients

UNSTRUCTURED Background: Adherence constitutes a great challenge for disease management, particularly when treating chronically ill patients facing an extensive, complex and long-term therapy. Earlier studies emphasize the relevance of adherence for improving therapy benefits. Besides the positive impact of increased patient support, the use of mobile health applications has gained importance in disease management. Objective: We aimed to develop a software application providing innovative features to simplify the contact between patients and treating physicians in order to overcome adherence barriers, to implement risk management plans and to collect patient reported outcome data. Methods: A novel software application ensuring data security was developed. Various innovative modules have been implemented, enabling bidirectional communication between treating physicians and patients, supporting therapy monitoring and management and allowing the collection of large sets of anonymous patient data. Results: The PatientConcept app is freely available for download and is tested since 2016, with more than 1800 generated patient IDs and 279 patients documenting health data according to risk management plans online in 2017. The impact on adherence issues is currently tested in larger patient populations. Conclusion: This innovative app provides a feasible and cost-optimized possibility to intensify and simplify the communication between patients and their treating physicians across indications, thus promising an exceptional benefit to both. It may not only support chronically ill patients in managing their daily life and improving adherence, but can also facilitate the implementation of risk management plans through automated monitoring, thus supporting physicians in their daily routine. Furthermore, patient reported outcome data can be collected. Importantly, a secure ID-associated data management ensures patient anonymity complying with highest data safety standards.

Understanding care transition notifications for chronically ill patients

2021 ◽  
pp. 1-14
Author(s):  
Sarah Kianfar ◽  
Ann Schoofs Hundt ◽  
Peter L.T. Hoonakker ◽  
Doreen Salek ◽  
Janet Tomcavage ◽  
...  
Keyword(s):  
Chronically Ill ◽  
Care Transition ◽  
Chronically Ill Patients

scholarly journals Attitudes to and experience of disease management programs in primary care—an exploratory survey of general practitioners in Germany

2021 ◽  
Author(s):  
Julian Wangler ◽  
Michael Jansky
Keyword(s):  
Primary Care ◽  
Disease Management ◽  
Patient Care ◽  
General Practitioners ◽  
Linear Regression Analysis ◽  
Chronically Ill ◽  
Disease Management Programs ◽  
Federal States ◽  
Set Up ◽  
Chronically Ill Patients

Summary Background Disease management programs (DMPs) were set up in Germany in 2003 to improve outpatient care of chronically ill patients. The present study looks at the attitudes and experiences of general practitioners (GPs) in relation to DMPs, how they rate them almost 20 years after their introduction and where they see a need for improvement. Methods A total of 1504 GPs in the Federal States of Rhineland Palatinate, Saarland and Hesse were surveyed between December 2019 and March 2020 using a written questionnaire. Results In total, 58% of respondents rate DMPs positively and regard them as making a useful contribution to primary care. The guarantee of regular, structured patient care and greater compliance are regarded as particularly positive aspects. It was also established that diagnostic and therapeutic knowledge was expanded through participation in DMPs. 57% essentially follow the DMP recommendations for (drug) treatment. Despite positive experiences of DMPs in patient care, the GPs surveyed mention various challenges (documentation requirements, frequent changes to the programmes, inflexibility). Univariant linear regression analysis revealed factors influencing the satisfaction with DMPs, such as improvement of compliance and clearly defined procedures in medical care. Conclusion Most of the GPs surveyed consider the combination of continuous patient care and evidence-based diagnosis and treatment to be a great advantage. To better adapt DMPs to the conditions of primary care, it makes sense to simplify the documentation requirements, to regulate cooperation with other healthcare levels more clearly and to give GPs more decision-making flexibility. Increased inclusion of GP experience in the process of developing and refining DMPs can be helpful.

Post-discharge intervention in vulnerable, chronically ill patients

2011 ◽  
Vol 7 (2) ◽  
pp. 124-130 ◽  
Author(s):  
Devan Kansagara ◽  
Rebecca S. Ramsay ◽  
David Labby ◽  
Somnath Saha
Keyword(s):  
Chronically Ill ◽  
Post Discharge ◽  
Chronically Ill Patients
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