Delay in discharge of psychiatric patients frequently is attributed to the lack of available community resources, or to the unwillingness of the patient or his family to accept discharge or transfer to another facility. The role of the psychiatric system itself rarely is mentioned as a factor. A study of 138 psychiatric patients in a Canadian community hospital in 1978 showed that 35 per cent were judged to be delayed in their discharge. By far the greatest source of delay was the administration of the various psychiatric services within the system. Delayed patients were found to be statistically similar to nondelayed patients, except for the delayed patients tendency to be poorer and to be overrepresented on two of the six wards studied. The cost implications of the delays in discharge are discussed, as are suggestions for solving the problems within the administrative framework.
A total of 73 patients with acute pneumonia received two-stage treatment: etiotropic treatment based on early etiological diagnosis (at hospital) and subsequent early rehabilitation at sanatorium with the use of peloid therapy. It made it possible to attain the best short-term results in the treatment of pneumonias (as compared with control group patients), to shorten 2-4-fold the times of the patients' stay at hospital and to raise bed capacity, to reduce the total doses and duration of antibacterial therapy, to decrease the possibility of the allergic reactions and side effects, and to reduce 2-fold the cost of antibacterial therapy.
The results of a survey of pretrial examination cases admitted to the provincial psychiatric hospital in Saskatchewan from 1966 to 1975 are reported. The demographic and psychiatric data and data from the psychiatric reports to the Court are analyzed. Some deficiencies noted in the reports to the Court are discussed and some remedial measures are suggested.
This report describes a 12-month fever surveillance survey in a 258-bed veterans long-term care institution. There were 128 episodes of fever (one episode per 24 patient-months); 114 were studied. Lower respiratory tract infections were most frequent, 36 (32%), with 26 (23%) urinary tract infections. Streptococcus pneumoniae was the most common pathogen in the chest infections and Proteus mirabilis the most common of the urinary tract infections. In 40 (35%) there was no evidence of a lower respiratory tract, urinary tract, or other bacterial infection. Most recovered rapidly, many with no specific treatment. There was a 16% mortality associated with the febrile episodes.
Of 45 first admission schizophrenics from 1963, an incidence by first admission group for northern Alberta, 43 were followed-up 14 years later. Based on these figures the expectancy was found to be 0.49%. The proportion of patients who were married was less than expected in comparison with the general population, but amongst the married, fertility was probably comparable to the population's. At follow-up about half the patients were managing well with little or no disability, one quarter had moderate to marked disability and the remainder were socially, psychiatrically and occupationally disabled. From the time of first admission, patients had spent an average of 15% of their time in hospital and lost 28% of the total time due to psychiatric disability.
Retrospective analysis and retrospective follow-up.
Spinal cord injury (SCI) patients have today a nearly normal lifespan. Avoidance of medical complications is key to this end. The aim of the study was to analyse health in individuals surviving 25 years or more after traumatic SCI in Stockholm and Florence, and compare medical complications.
Data from the databases of the Spinal Unit of Florence and from the Spinalis, Stockholm were analysed. Patients included were C2-L 2, American Spinal Cord Association (ASIA) Impairment Scale (AIS) A-C, and =25 years post traumatic SCI. Patients underwent a thorough neurological and general examination, and were interviewed about medical events during those years. Analysed data include: gender, age at injury, current age, neurological level, AIS, cause of injury, presence of neuropathic pain (NP), and spasticity and medical complications.
A total of 66 Italian patients and 74 Swedish patients were included. The only statistical difference between the groups was cause of injury due to falls was higher in the Florence group (P
The Norwegian Knowledge Centre for the Health Services (NOKC) reports 30-day survival as a quality indicator for Norwegian hospitals. The indicators have been published annually since 2011 on the website of the Norwegian Directorate of Health (www.helsenorge.no), as part of the Norwegian Quality Indicator System authorized by the Ministry of Health. Openness regarding calculation of quality indicators is important, as it provides the opportunity to critically review and discuss the method. The purpose of this article is to describe the data collection, data pre-processing, and data analyses, as carried out by NOKC, for the calculation of 30-day risk-adjusted survival probability as a quality indicator.
Three diagnosis-specific 30-day survival indicators (first time acute myocardial infarction (AMI), stroke and hip fracture) are estimated based on all-cause deaths, occurring in-hospital or out-of-hospital, within 30 days counting from the first day of hospitalization. Furthermore, a hospital-wide (i.e. overall) 30-day survival indicator is calculated. Patient administrative data from all Norwegian hospitals and information from the Norwegian Population Register are retrieved annually, and linked to datasets for previous years. The outcome (alive/death within 30 days) is attributed to every hospital by the fraction of time spent in each hospital. A logistic regression followed by a hierarchical Bayesian analysis is used for the estimation of risk-adjusted survival probabilities. A multiple testing procedure with a false discovery rate of 5% is used to identify hospitals, hospital trusts and regional health authorities with significantly higher/lower survival than the reference. In addition, estimated risk-adjusted survival probabilities are published per hospital, hospital trust and regional health authority. The variation in risk-adjusted survival probabilities across hospitals for AMI shows a decreasing trend over time: estimated survival probabilities for AMI in 2011 varied from 80.6% (in the hospital with lowest estimated survival) to 91.7% (in the hospital with highest estimated survival), whereas it ranged from 83.8% to 91.2% in 2013.
Since 2011, several hospitals and hospital trusts have initiated quality improvement projects, and some of the hospitals have improved the survival over these years. Public reporting of survival/mortality indicators are increasingly being used as quality measures of health care systems. Openness regarding the methods used to calculate the indicators are important, as it provides the opportunity of critically reviewing and discussing the methods in the literature. In this way, the methods employed for establishing the indicators may be improved.
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