Search

Reports on the discovery of a positive correlation between the rates for parricide and criminal violence in Canada. Claims that this data confirms that factors influencing homicides that involve immediate family members (parricide, fratricide, and filicide) appear to similarly affect criminal violence, disputing some earlier studies. (RJM)

In many societies, girls are more often killed by their parents than boys. However, not much of this is known in contemporary societies. This study had two main objectives. The first was to assess whether the number of boy and girl victims of maternal filicide differ in the literature from 1959 to 2000. Using two scientific databases, Medline and PsycINFO, 20 texts were pertinent. The second objective was to identify the variables that differentiate the mothers who killed a son and those who killed a daughter in a sample of 42 women from the province of Quebec (Canada). Analysis of the data for the first part indicate that the numbers of sons and daughters killed by their mothers are similar in the literature. For the second aim no significant differences were noted between the women who killed a son and those who killed a daughter for 30 variables studied, e.g.. motivation, method of killing, age of the victims, etc. [ABSTRACT FROM AUTHOR]

Reports on a Canadian study regarding the correlation between parricide and criminal violence from 1962 to 1985. Comparison of the results to Young's 1993 results and Megargees's 1982 hypothesis; Violent crimes and intrafamilial violence.

Investigates whether older siblings were more likely to have killed a younger sibling, in the population of all fratricides and sororicides committed in Canada between the period of 1974 and 1995. Reference to a study conducted in 1996 by psychologist F.J. Sulloway, who suggested many hypotheses regarding birth order, social and political behavior; Statistical information on the total percentage of intrafamilial homicide in Canada between 1978 and 1987.

Importance: Identification of patients at a high risk of potentially avoidable readmission allows hospitals to efficiently direct additional care transitions services to the patients most likely to benefit., Objective: To externally validate the HOSPITAL score in an international multicenter study to assess its generalizability., Design, Setting, and Participants: International retrospective cohort study of 117 065 adult patients consecutively discharged alive from the medical department of 9 large hospitals across 4 different countries between January 2011 and December 2011. Patients transferred to another acute care facility were excluded., Exposures: The HOSPITAL score includes the following predictors at discharge: hemoglobin, discharge from an oncology service, sodium level, procedure during the index admission, index type of admission (urgent), number of admissions during the last 12 months, and length of stay., Main Outcomes and Measures: 30-day potentially avoidable readmission to the index hospital using the SQLape algorithm., Results: Overall, 117 065 adults consecutively discharged alive from a medical department between January 2011 and December 2011 were studied. Of all medical discharges, 16 992 of 117 065 (14.5%) were followed by a 30-day readmission, and 11 307 (9.7%) were followed by a 30-day potentially avoidable readmission. The discriminatory power of the HOSPITAL score to predict potentially avoidable readmission was good, with a C statistic of 0.72 (95% CI, 0.72-0.72). As in the derivation study, patients were classified into 3 risk categories: low (n = 73 031 [62.4%]), intermediate (n = 27 612 [23.6%]), and high risk (n = 16 422 [14.0%]). The estimated proportions of potentially avoidable readmission for each risk category matched the observed proportion, resulting in an excellent calibration (Pearson χ2 test P = .89)., Conclusions and Relevance: The HOSPITAL score identified patients at high risk of 30-day potentially avoidable readmission with moderately high discrimination and excellent calibration when applied to a large international multicenter cohort of medical patients. This score has the potential to easily identify patients in need of more intensive transitional care interventions to prevent avoidable hospital readmissions.