Identifying job skills in commercial advisors in a health insurance company

The aim of this research was to identify the criticalcompetence of success of the commercial adviserin a company providing insurance and health services.For this research a sample of 34 commercialadvisers. The sample was divided into four groups(two per product and two per criterion of success).Systematic fi eld observations, interviews of criticalincidents, application of response tests and salesworkshops were used to evaluate the differentialcompetences that the successful advisers wereshowing in relation to the advisers de fi ned as average.The success criteria were based on the generatedcommission performance over the 10 months. Allin all, signi fi cant differences were found betweenthe “successful” and “average” groups. Furthermore,competences that correlate positively with atop sales performance were observed and competencesthat have major level of discrimination betweenthe “successful” and “average” groups wereestablished. Orientation to achievement, planningand management, information search, commercialaggressiveness and strategic vision are the competencesthat were considered to be key in the topperformance of a sales agent or commercial adviser.Additionally, the results in the response testswere analyzed in the four study groups, withoutobserving signi fi cant differences between them,which supports the theoretical framework of thepresent study.

Small-area variation in health care affecting the choice of cesarean delivery: the case of a Colombian health insurer

In the midst of health care reform, Colombia has succeeded in increasing health insurance coverage and the quality of health care. In spite of this, efficiency continues to be a matter of concern, and small-area variations in health care are one of the plausible causes of such inefficiencies. In order to understand this issue, we use individual data of all births from a Contributory-Regimen insurer in Colombia. We perform two different specifications of a multilevel logistic regression model. Our results reveal that hospitals account for 20% of variation on the probability of performing cesarean sections. Geographic area only explains 1/3 of the variance attributable to the hospital. Furthermore, some variables from both demand and supply sides are found to be also relevant on the probability of undergoing cesarean sections. This paper contributes to previous research by using a hierarchical model and by defining hospitals as cluster. Moreover, we also include clinical and supply induced demand variables.