The Effects of Life Expectancy on Fiji's Output: A Time Series Approach from 1970 to 2002

Compared to several cross-country studies on the determinants of growth, time series approaches are relatively few and limited in scope. However, time series studies are useful for country-specific policies. But in the recent time series works, with a few exceptions, ad hoc specifications of output and growth equations are used. This paper examines the specification and estimation issues in the time series approach to the determinants of output. Our approach is used to measure the effects of health on the output of Fiji for the period 1970 to 2002.The Solow Growth Model, Production Function, General to Specific Approach, Effects of Health on Output.

The Effectiveness of Different Revision Approaches in Science on Achievement and Retention of Learners Having Different Learning Styles

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Understanding Differences in Medical Versus Surgical Patients Alerted by the Modified Early Warning Score (MEWS) at Jefferson Hospital

An Early Warning Score (EWS) is a risk-management tool to identify patients experiencing clinical deterioration early, therefore allowing timely treatment to occur. Although EWS scores are recommended for all in-patients, more data is available for patients under general medical services compared to surgical services. This study aims to understand differences between medical versus surgical in-patients who receive a red alert from the Modified Early Warning Score (MEWS) at Jefferson hospital. Patients who received a red MEWS alert during admission and discharged between June 2017 to March 2018 (N=812) were categorized as medical or surgical patients. Patient characteristics were compared using an independent samples t-test (age, alert count) or chi-square test (sex, race, admission source, insurance). Patient outcomes were compared using a binary logistic regression (in-hospital mortality, RRT, sepsis diagnosis, ICU transfer, intubation, discharge to hospice) or a Cox regression model (length of stay), controlling for age, sex, and race. Compared to medical patients, surgical patients were younger by 2.7 years (p=0.026) and more likely to have a Commercial and/or Medicare category of insurance (OR=1.568, p=0.005). Surgical patients were more likely to have ICU transfer (OR=1.487, p=0.013) and intubation post-alert (OR=2.470, p=0.006), while less likely to be discharged early (HR=0.675,