Clinical Utility of Haloperidol in 51 State Hospital Admissions

1973 ◽  
Vol 24 (3) ◽  
pp. 162-164
Author(s):  
Robert B. Leonard
2003 ◽  
Vol 93 (1) ◽  
pp. 235-238 ◽  
Author(s):  
Kaye Baron ◽  
J. Ray Hays

This study examined sociodemographic, diagnostic, psychological, and episode-based variables in a sample of 130 psychiatric patients admitted to treatment at least twice in a 6-yr. period. Short length of initial hospitalization ( r = -.30, p <.01) and younger age on initial admission ( r = -.20, p <.05) were significantly correlated with frequent hospital admissions. Scores on four of the subscales of the WAIS-R were significantly correlated with readmission, confirming that patients who have fewer cognitive resources are at risk of frequent admissions. A multiple regression analysis combining variables to predict readmission accounted for only 12% of the common variance ( r128 = .34, p <.01), however, indicating that a prediction equation with these variables has limited clinical utility.


1975 ◽  
Vol 37 (2) ◽  
pp. 486-486 ◽  
Author(s):  
Gerald N. Weiskott ◽  
George B. Tipton

1990 ◽  
Vol 26 (3) ◽  
pp. 245-253 ◽  
Author(s):  
William H. Fisher ◽  
Jeffrey L. Geller ◽  
Janet Wirth-Cauchon

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Gerri Sefton ◽  
Bernie Carter ◽  
Steven Lane ◽  
Matthew Peak ◽  
Ceu Mateus ◽  
...  

Abstract Background Active monitoring of hospitalised adults, using handheld electronic physiological surveillance systems, is associated with reduced in-patient mortality in the UK. Potential also exists to improve the recognition and response to deterioration in hospitalised children. However, the clinical effectiveness, the clinical utility, and the cost-effectiveness of this technology to reduce paediatric critical deterioration, have not been evaluated in an NHS environment. Method This is a non-randomised stepped-wedge prospective mixed methods study. Participants will be in-patients under the age of 18 years, at a tertiary children’s hospital. Day-case, neonatal surgery and Paediatric Intensive Care Unit (PICU) patients will be excluded. The intervention is the implementation of Careflow Vitals and Connect (System C) to document vital signs and sepsis screening. The underpinning age-specific Paediatric Early Warning Score (PEWS) risk model calculates PEWS and provides associated clinical decision support. Real-time data of deterioration risk are immediately visible to the entire clinical team to optimise situation awareness, the chronology of the escalation and response are captured with automated reporting of the organisational safety profile. Baseline data will be collected prospectively for 1 year preceding the intervention. Following a 3 month implementation period, 1 year of post-intervention data will be collected. The primary outcome is unplanned transfers to critical care (HDU and/or PICU). The secondary outcomes are critical deterioration events (CDE), the timeliness of critical care transfer, the critical care interventions required, critical care length of stay and outcome. The clinical effectiveness will be measured by prevalence of CDE per 1000 hospital admissions and per 1000 non-PICU bed days. Observation, field notes, e-surveys and focused interviews will be used to establish the clinical utility of the technology to healthcare professionals and the acceptability to in-patient families. The cost-effectiveness will be analysed using Health Related Group costs per day for the critical care and hospital stay for up to 90 days post CDE. Discussion If the technology is effective at reducing CDE in hospitalised children it could be deployed widely, to reduce morbidity and mortality, and associated costs. Trial registration Current Controlled Trials ISRCTN61279068, date of registration 03.06.19, retrospectively registered.


Author(s):  
Sarah Richardson ◽  
James Murray ◽  
Daniel Davis ◽  
Blossom C M Stephan ◽  
Louise Robinson ◽  
...  

Abstract Background Delirium is common, distressing and associated with poor outcomes. Despite this, delirium remains poorly recognised, resulting in worse outcomes. There is an urgent need for methods to objectively assess for delirium. Physical function has been proposed as a potential surrogate marker, but few studies have monitored physical function in the context of delirium. We examined if trajectories of physical function are affected by the presence and severity of delirium in a representative sample of hospitalised participants over 65 years. Methods During hospital admissions in 2016, we assessed participants from the DECIDE study daily for delirium and physical function, using the Hierarchical Assessment of Balance and Mobility (HABAM). We used linear mixed models to assess the effect of delirium and delirium severity during admission on HABAM trajectory. Results Of 178 participants, 58 experienced delirium during admission. Median HABAM scores in those with delirium were significantly higher (indicating worse mobility) than those without delirium. Modelling HABAM trajectories, HABAM scores at first assessment were worse in those with delirium than those without, by 0.76 (95% CI: 0.49-1.04) points. Participants with severe delirium experienced a much greater perturbance in their physical function, with an even lower value at first assessment and slower subsequent improvement. Conclusions Physical function was worse in those with delirium compared to without. This supports the assertion that motor disturbances are a core feature of delirium and monitoring physical function, using a tool such as the HABAM, may have clinical utility as a surrogate marker for delirium and its resolution.


2009 ◽  
Vol 44 (3) ◽  
pp. 8-8 ◽  
Author(s):  
Aaron Levin

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