THE MADURAI DIRAVIYAM THAYUMANAVAR HINDU COLLEGE

HINDCO RESEARCH JOURNAL

ARTICLE NAME:
AN ECONOMIC ANALYSIS OF HEALTH STATUS OF COASTAL VILLAGES OF THOOTHUKUDI DISTRICT

AUTHOR NAME
Dr.D.Amutha

ISSUE:
VOL.1, NO.1

YEAR:
2018

PAGE NO:
82-90

ABSTRACT:
This study mainly focuses the socio economic background of the respondents in coastal village and their health problems. In order to perform the analysis on the socio – economic and health status of the people of the coastal area of Pazhayakayal and Punnakayal in Thoothukudi district were selected. The data was collected during the months between April to June, 2016. The data collected from the primary source were analysed with the help of various statistical measures such as simple percentage analysis, averages, chi square test, t test, multiple regression and probability analysis were used. Secondary data have been collected from books, journals, newspapers, internet and periodicals. The study shows that 56% of the respondents opined that sufficient drugs and medicines are available in the hospitals and 25% of them opined that there is insufficient availability of medicines. The remaining 19% of them have no opinion. It reveals that out of 140 respondents, majority of 79.54 per cent of them utilised Government Hospital facility and 20.46 per cent of them don’t utilise Government Hospital facility. It is inferred that majority of them are affected by minor diseases (56%) and the remains by major diseases (44%). In order to find out the significant difference in satisfaction of income among the sample respondents based on marital status, the‘t’ value was calculated. Therefore, the null hypothesis is accepted and concluded that there is no significant difference in satisfaction of income among the respondents between marital statuses. It is revealed that three of the variables were entered into the equation and the order of inclusion was as follows: job satisfaction, quality of health and income. Allowing one of the independent variables to operate, while controlling the other variables in the equation, revealed that it was job satisfaction which had the highest contribution to the quality of work followed by the quality of health and income respectively.

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