INTRODUCTION:

Dengue fever occurs more frequently in the rainy season (July to October) in India. Dengue virus will be present in the blood of patient suffering from dengue fever. Whenever aedes mosquito bites a patient of dengue fever, it sucks blood and along with it, the dengue virus into its body.² The virus undergoes further development in the body of the mosquito for a few days.

When the virus containing mosquito bites a normal human being, the virus is injected into the person`s body and he/she becomes infected and can develop symptoms of dengue fever. It means the time between bite of an infected mosquito and appearance of symptoms of dengue fever is 5-6 days. However it can vary from 3-10 days.³

The annual number of dengue fever cases in India is nearly 300 times higher than officially reported, according to a study by US and Indian researchers.⁴ Study reports that India had nearly 6m annual clinically diagnosed dengue cases between 2006 and 2012-almost 300 times greater than the number of cases that had been officially reported, said Prof Donald S Sheppard, health economics professor at Brandeis University, Massachusetts, who led the five year research project.⁵

STATEMENT OF THE PROBLEM:

A study to assess the effectiveness of Structured Teaching Program on knowledge regarding Dengue fever and its prevention among women residing at selected area of Navanagar of Bagalkot.

OBJECTIVES:

1. To assess the knowledge regarding Dengue fever and its prevention among women

2. To determine the effectiveness of Structured Teaching Programme on knowledge regarding Dengue fever and its prevention.

3. To find out the association between the post test knowledge scores of women on Dengue fever and its prevention with selected demographic variables.

METHODOLOGY:

Research Approach:

An evaluative approach was used to assess the effectiveness of structured teaching program on knowledge regarding dengue fever and its prevention among women residing at selected area of Navanagar, Bagalkot. An evaluative research approach is generally applied where the primary objective is to determine the extent to which a given strategy meets the desired result.

Research Design:

The study included observation of effectiveness of an intervention in the form of STP on only one group without any control group hence one group pre-test post tarts pre experimental design was used for the study.

Setting of the Study:

The present study was conducted at Sector No: 45 of Navanagar Bagalkot.

Sample and Sampling Technique:

This study composed of 50 women residing at Sector No – 45 of Navanagar, Bagalkot. The Simple Random sampling technique was used to select both area and sample for the present study.

	Total 63 Sectors at Bagalkot City
Simple Random Sampling (Lottery Method)
	Sector No 45 of Navanagar of Bagalkot Total 480 women residing (Accessible Population)
Simple Random Sampling
	50 women residing at Sector No – 45 of Navanagar, Bagalkot

Description of the Tool:

The instrument was divided into two parts:

Part – I:

It consists of 9 items regarding the demographic information of the subjects such as age, education, religion, type of family, occupation, type of house, monthly income, have you suffered from dengue fever and Source of knowledge regarding dengue fever and its prevention.

Part – II:

Data was collected by means of Structures Interview with the use of Structured closed ended questionnaire. It consists of 30 knowledge items related to prevention of dengue fever. These items were closed ended, multiple choice questions.

Data Collection Procedure:

First phase:

A pre test was conducted among 50 women by Structured Interview Schedule using structured closed ended Questionnaire on dengue fever and its prevention.

Second phase:

A post test was conducted after one week, fallowed by structured teaching programme, using same Structured Interview Schedule using structured closed ended Questionnaire to assess the effectiveness of structured teaching programme.

Plan for Data Analysis:

Data analysis is the systematic organization and synthesis of research data and testing of research hypotheses by using the collected data.

The data was analyzed by using both descriptive and inferential statistics.

· Demographic data was analyzed by using frequency and percentage distribution.

· Mean and standard deviation and paired ‘t’ test was used to find the difference between pre test and post test knowledge scores of women regarding Dengue fever and its prevention.

· Chi square test was used to determine association between post test knowledge scores with their selected demographic variables of women.

RESULTS:

The Major Findings of the study were as fallows.

The percentage wise distribution of age showed that most of the sample i.e. 42% were between 26-30 years, The percentage wise distribution of age showed that most of the sample i.e. 42% were between 26-30 years, The percentage wise distribution of age showed that most of the sample i.e. 42% were between 26-30 years, % had nuclear family , 6% women were belonged to joint family, and 4% were single parent family, 90% were house wives fallowed by only 10% women were private employees, 92% were living in pakka house and only 8% women had kachha house, 88% had the monthly income of rupees 6001and above fallowed by only 10% women had the Rs 5001 to 6000 and none of the subjects ever suffered from dengue fever. Regarding source of information 50 % women obtained information from TV, Radio and Internet fallowed by 30% by friends and neighbours, 10% by health professionals and 10% women by news paper and magazines.

Table no 1.1: Percentage wise distribution of women according to level of knowledge. N=50

Levels of knowledge	Range of score	Number of subjects	Percentage %
Very poor	0 - 6	00	00
Poor	7 – 12	10	20%
Average	13-18	39	78%
Good	19-24	01	02%
Very good	25-30	00	00

Percentage wise distribution of subjects in pre-test reveals that out of 50 women, highest percentage i.e. 78% of women had average knowledge, 20% women had poor knowledge and 2% had good knowledge

Table no 1.2: Percentage wise distribution of women according to level of knowledge in post test. N=50

Levels of knowledge	Range of score	Number of subject	Percentage %
Very poor	0 - 6	00	00
Poor	7 – 12	00	00
Average	13-18	00	00
Good	19-24	41	82%
Very good	25-30	09	18%

In post test out of 50 women highest percentage i.e.82% women had good knowledge followed by 18% of subjects with very good knowledge.

Table no 1.3: Percentage wise distribution of subjects according to levels of knowledge in pre-test and post-test.

Level of knowledge	Pre-test		Post-test
	No. of respondents	Percentage	No. of respondents	Percentage
Very poor	-	-	-	-
Poor	10	20%	-	-
Average	39	78%	-	-
Good	01	02%	41	82%
Very good	-	-	09	18%
Total	50	100%	50	100%

Table 2: Showing difference between the pre test and post test knowledge scores of subjects regarding Dengue fever.

Test	Mean	SD	Mean %	Difference			Significance
				Mean	SD	Mean %	t- value	p-value
Pre test	14.56	2.27	48.53	8.66	-0.76	28.87	1.96	5.42
Post test	23.22	1.51	77.4

Table no 3: Association Between Post Test Knowledge Scores And Demographic Variables.

SL. No	Demographic variable	Df	Chi-square value	Table value	Level of significance	Association
1.	Age	1	0.77	3.84	P>0.05	No significant
2.	Educational status	1	0.04	3.84	P>0.05	No significant
3.	Religion	1	2.60	3.84	P>0.05	No significant
4.	Type of family	1	2.60	3.84	P>0.05	No significant
5.	Occupation	1	0.24	3.84	P>0.05	No significant
6.	Type of house	1	0.089	3.84	P>0.05	No significant
7.	Income	1	0.70	3.84	P>0.05	No significant
8.	Have you suffered from dengue fever	1	0.0	3.84	P>0.05	No significant
9.	Sources of information	1	0.018	3.84	p>0.05	No significant

The overall findings reveal that the post-test knowledge score (23.22±1.51) which was 77.4% of total score was more when compared to the pre-test knowledge score (14.56±2.27) which was 48.53% of total score. The effectiveness of STP on bones and joints, dengue fever, management of dengue fever, mean knowledge score of 8.66 with SD±0.76 which was 28.87% of total score. Hence it indicates that the STP was effective in enhancing knowledge of samples. Paired t test was calculated to find the significant difference between mean pre-test and post test scores. The calculated t value was 5.42 which was higher than the table t = 1.96, value at 5 % level of significance, and 49 degrees of freedom. Hence above mentioned results indicated that the STP was highly effective to increase the knowledge of the women regarding Dengue Fever and its prevention significantly.

Chi-square was calculated to find out the association between post test knowledge scores of women with their selected socio demographic variables by using contingency table. Calculated chi-square value is lesser than table value for socio demographic variables age(x²= 0.77 P>0.05), educational status (x²= 0.04 P>0.05), religion (x²= 2.60 P>0.05) , type of family (x²= 2.60 P>0.05), occupation (x²= 0.24 P>0.05), type of house (x²=0.089 P>0.05), income(x²= 0.70 P>0.05), have you suffered from dengue fever (x²=0.0 P>0.05) and source of information (x²= 0.018 P>0.05), hence H₂is rejected for these socio demographic variables. So there was no significant association between the knowledge level and demographic variables. Hence, the hypothesis stated that there will be significant association between the post test knowledge scores of women with demographic variables was rejected.

CONCLUSION:

The conclusions were drawn on the basis of the study findings which included the following.

· The present study revealed that the women had inadequate knowledge regarding Dengue fever and its prevention.

· After implementation of structured teaching programme, knowledge on Dengue fever and its prevention has increased significantly. The paired ‘t’ test was calculated between pre test and post test knowledge scores indicated that the structured teaching programme was statistically effective.

· The present study showed that there is no significant association between women knowledge regarding Dengue fever and its prevention and demographic variables; hence the hypothesis stated that there will be significant association between the post knowledge scores with demographical variables was rejected.

REFERENCES:

1. Normile D (2013)” Surprising new dengue virus throws a spanner in disease control efforts”. Science 342 (6157): 415

2. International journal of medical science and clinical inventions Volume 1 issue 7 2014 page no 371 -378

3. Bhatt S, Gething PW, Brady OJ, et al. (April 2013). “The global distribution and burden of dengue”. Nature 496 (7446): 5047.

4. Prevalence and Incidence of Dengue Fever. http:// www.wrongdiagnosis.com/d/dengue_fever / prevalence.htm.

5. Available online At: http // valley international.net /index.php/our-joulijmsci

Received on 01.06.2018 Modified on 17.07.2018

Int. J. Nur. Edu. and Research. 2019; 7(1):01-04.

DOI: 10.5958/2454-2660.2019.00001.2