Background: Flexible Assertive Community Treatment (Flexible ACT) has been implemented in Sweden during recent years due to increasing interest in integrated services for people with severe mental illness. To date, few studies have been done on Flexible ACT effectiveness.
Aims: The overall aim of this study was to explore the extent to which clients assigned to the Flexible ACT board for ACT intensive care were stabilized with improved everyday functioning, social outcomes, and changes in healthcare use.
Methods: Ninety-three participants with psychosis, in need of ACT from six newly started Flexible ACT teams, were included. Data were collected using the Social Outcome Index scale (SIX), Practical and Social Functioning Scale, and a healthcare usage questionnaire.
Results: There was a significant positive change in everyday functioning and in the SIX-item ‘friendship’ at 18-months follow-up. A positive correlation was also found between everyday functioning and the SIX-item ‘friendship’ and a negative correlation between duration of ACT and everyday functioning. A significant increase in number of inpatient hospital days and psychiatric outpatient visits also occurred.
Conclusion: Clients with psychosis who need ACT may benefit from Flexible ACT through improved social functioning. Being involved in meaningful activities and supported by others are key aspects of recovering from mental illness and are enhanced by Flexible ACT. 相似文献
Nonrapid eye movement (NREM) sleep is associated with fading consciousness in humans. Recent neuroimaging studies have demonstrated the spatiotemporal alterations of the brain functional connectivity (FC) in NREM sleep, suggesting the changes of information integration in the sleeping brain. However, the common stationarity assumption in FC does not satisfactorily explain the dynamic process of information integration during sleep. The dynamic FC (dFC) across brain networks is speculated to better reflect the time‐varying information propagation during sleep. Accordingly, we conducted simultaneous EEG‐fMRI recordings involving 12 healthy men during sleep and observed dFC across sleep stages using the sliding‐window approach. We divided dFC into two aspects: mean dFC (dFCmean) and variance dFC (dFCvar). A high dFCmean indicates stable brain network integrity, whereas a high dFCvar indicates instability of information transfer within and between functional networks. For the network‐based dFC, the dFCvar were negatively correlated with the dFCmean across the waking and three NREM sleep stages. As sleep deepened, the dFCmean decreased (N0~N1 > N2 > N3), whereas the dFCvar peaked during the N2 stage (N0~N1 < N3 < N2). The highest dFCvar during the N2 stage indicated the unstable synchronizations across the entire brain. In the N3 stage, the overall disrupted network integration was observed through the lowest dFCmean and elevated dFCvar, compared with N0 and N1. Conclusively, when the network specificity (dFCmean) breaks down, the consciousness dissipates with increasing variability of information exchange (dFCvar). 相似文献
While the introduction of new surgical techniques can radically improve patient care, they may equally expose patients to unforeseen harms associated with untested procedures. The enthusiastic uptake of laparoscopic cholecystectomy in the early 1990s saw a dramatic increase in the rate of common bile duct injuries, and was described by Alfred Cuschieri as ‘the biggest unaudited free‐for‐all in the history of surgery’ due to ‘a lack of effective centralised control’. Whether a new surgical intervention is considered an acceptable ‘minor’ variation of an established procedure, or is sufficiently ‘novel’ to constitute experimentation on human subjects is often unclear. Furthermore, once a new technique is identified as experimental, there is no agreed protocol for safety evaluation in a first‐in‐human setting. In phase I (first‐in‐human) pharmacological trials only small, single arm cohorts of highly selected patients are enrolled in order to establish the safety profile of a new drug. This exposes only a small number of patients to the unknown or unforeseen risks that may be associated with a new agent, in a highly regulated and scientifically rigorous manner. There is no equivalent study design for the introduction of new and experimental surgical procedures. This article proposes a practical stepwise approach to the safe introduction of new surgical procedures that surgeons and surgical departments can adopt. It includes criteria for new surgical techniques which require formal prospective ethical evaluation, and a novel study design for conducting a safety evaluation at the ‘first in human’ stage. 相似文献
To assess whether ICU caregivers can correctly read and interpret continuous EEG (cEEG) data displayed with the computer algorithm NeuroTrend (NT) with the main attention on seizure detection and determination of sedation depth.
Methods
120 screenshots of NT (480 h of cEEG) were rated by 18 briefly trained nurses and biomedical analysts. Multirater agreements (MRA) as well as interrater agreements (IRA) compared to an expert opinion (EXO) were calculated for items such as pattern type, pattern location, interruption of recording, seizure suspicion, consistency of frequency, seizure tendency and level of sedation.
Results
MRA as well as IRA were almost perfect (80–100%) for interruption of recording, spike-and-waves, rhythmic delta activity and burst suppression. A substantial agreement (60–80%) was found for electrographic seizure patterns, periodic discharges and seizure suspicion. Except for pattern localization (70.83–92.26%), items requiring a precondition and especially those who needed interpretation like consistency of frequency (47.47–79.15%) or level of sedation (41.10%) showed lower agreements.
Conclusions
The present study demonstrates that NT might be a useful bedside monitor in cases of subclinical seizures. Determination of correct sedation depth by ICU caregivers requires a more detailed training.
Significance
Computer algorithms may reduce the workload of cEEG analysis in ICU patients. 相似文献