Increasing Referrals to a Community Paramedicine Fall Prevention Program Through Implementation of a Daily Management System

Detecting unexpected scores of individual students in an examination based on past scores and current daily efforts

Purpose

This paper proposes a model for detecting unexpected examination scores based on past scores, current daily efforts and trend in the current score of individual students. The detection is performed soon after the current examination is completed, which helps take immediate action to improve the ability of students before the commencement of daily assessments during the next semester.

Design/methodology/approach

The scores of past examinations and current daily assessments are analyzed using a combination of an ANOVA, a principal component analysis and a multiple regression analysis. A case study is conducted using the assessment scores of secondary-level students of an international school in Japan.

Findings

The score for the current examination is predicted based on past scores, current daily efforts and trend in the current score. A lower control limit for detecting unexpected scores is derived based on the predicted score. The actual score, which is below the lower control limit, is recognized as an unexpected score. This case study verifies the effectiveness of the combinatorial usage of data in detecting unexpected scores.

Originality/value

Unlike previous studies that utilize attribute and background data to predict student scores, this study utilizes a combination of past examination scores, current daily efforts for related subjects and trend in the current score.

Postmortem Analysis of Fall Victims According to Age Groups: A Comparative Study

Fall represents an important cause of death and its relation with the population aging evidences the need of a broad analysis considering different aspects associated with its occurrence. The objective of this study was to compare fatal victims due to unintentional fall among adults, young olds, olds, and oldest olds, according to sociodemographic data, characteristics, and severity of the trauma. This study is a cross-sectional, comparative study analyzing autopsy reports of fatal victims due to fall, admitted to the Medical Legal Institute of Sao Paulo, Sao Paulo, Brazil, in 2015. The following age groups were: adults (≥18 and <60 years), young olds (≥60 and <70 years), olds (≥70 and <80 years), and oldest olds (≥80 years). The Pearson's χ, Fisher's exact, Kruskal-Wallis, and Dunn tests were applied to compare the groups, with a significance level of 5%. Regarding the 469 fatalities analyzed (57.8% males, mean age: 71.3 ± 18.2 years), there was a higher frequency of oldest olds (43.5%), ground-level falls (70.1%), femoral fractures (35.0%), and delayed deaths (79.6%) due to posttraumatic complications (57.2%). Adults, young olds, olds, and oldest olds differed significantly (p ≤ .005) in relation to the total of analyzed variables, with a special remark on the differences between the age extremes. High frequencies of femoral fractures and delayed deaths due to complications of treatment in low-severity fall victims, especially those older than 70 years, make it necessary to improve fall prevention programs in the older adults and to create a line of care for this population.