Early Life Health Interventions & Academic Achievement Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

INTRODUCTION

This study has been conducted to determine that whether there is an impact of early childhood health care and improved neonatal on the long run achievement of students in the school and on mortality. The data used for the analysis was collected from the educational records and vital statistics in Norway and Chile. The importance of this study is significant not just because of the significant efforts which are currently being made to improve the early health of the children in the world, but also due to the disparities in infant health and neonatal. Apart from this the importance of this study also lies in the fact that the role of early life health interventions and its impact on the achievements of the children in academics is of mere importance. Previous research has been conducted in the areas of kindergarten, pre-school related interventions and welfare programs. However, before this paper, the causal relationship has been developed on the early life health care interventions and its impact on the outcomes of the education in the later stages.

Since the importance of conducting this study was immense, the task was also challenging. One of the main issues was that the health interventions are not administered randomly. Due to this reason there might be a difference in the school performance and mortality for the infants who receive special medical attention. Therefore, to resolve this issue the management took the advantage of certain rules and recommendations to overcome such compounding factors. The researchers administered the medical care of those children that had a birth weight of less than 1,500 grams. These students are known to be children with Very Low Birth Weight status. The main assumption that underlined this rule was that those infants that have a birth weight of around 1490 grams is essentially same to that infants that have a birth weight of around 1510 grams. However, one difference existed between them and that was the extra special attention that was being provided to the lower birth weight infants. The analysis has been performed on this population and the model applied to perform the analysis is the regression discontinuity design. This study therefore, focused on the children under the 1500 grams bracket and above the 1500 grams bracket to compare the impacts or the outcomes of different levels of extra medical treatments.

ANALYSIS OF PAPER

DATA

The data used for the analysis was taken from two sources. The first set of the data was taken from administrative transcripts of the students and this data focused on the school achievements of the children. The data were collected for a time period which was between 2002 and 2010. The Ministry of Education of Chile (MINEDUC) provided this data. This data covered all the students of Chile. Apart from this, the second set of the data comprised of those students that have taken a national test called SIMCE. This test was administered to the students of fourth graders. The scores of this test were standardized by cohort.

The primary data for the population of Norway was collected from the birth records of the Norwegian children from the period of 1967-1993. The researchers had collected this data from Medical Birth Registry of Norway. This data provided all the necessary information related to the age of the mother, gestational length, birth weight and the month of the birth.

RESULTS OF THE STATISTICAL TEST

The results of the statistical tests show that the special medical treatment and attention for the premature births in Norway and Chile show that it has a significant impact on premature births below 32 weeks of gestation and 1500 grams of weight. Also, because of the lack of micro data on hospital inputs, it confirms that the discontinuity of the treatments is quantitatively difficult. But the results of the hospitalization records from the public hospitals in Norway with a subset of the total population for the period of 2001 and 2007 provide evidence, which also matches the differential health treatments with regard to the relevant threshold. Also the results of the analytical test suggest that there is a clear difference in treatment between the infants of 1500 grams or above and also those infants that have a weight of less than 1500 grams. Further, these results have also been explained through the graphs also that follow the same standard pattern......................

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