International Journal of Evidence Based Nursing And Practices Original Research

A Study to Evaluate the Effectiveness of Planned Teaching Program of Environmental Health Among Community People in Selected Rural Area of Gwalior

  1. Arpita Sharma School of Nursing Sciences, ITM University
  2. Mini Anil School of Nursing Sciences, ITM University
  3. Rakesh Kumar School of Nursing Sciences, ITM University

Abstract

Context: Environmental health is the subfield of public health that focuses on identifying and altering environmental contributors to illness and injury. The state of the environment in a certain area, especially as it relates to ecological diversity and pollution. The purpose of this research was to evaluate the efficacy of an environmental health education program for the local population. This study follows a quantitative research approach for its methodology. The study used a before-and-after test design. Gwalior’s rural area was the site of the pilot study. The sample was selected using the most practical method. The health of the environment was evaluated using a structured knowledge questionnaire. Fifty students were used for the final study, which included a pre-test and a post-test 7 days later using the same instruments. The data were analyzed using inferential statistics. Mean scores before and after learning about environmental health are displayed. The depicted increase in mean score from pre-test to post-test is 4. The actual percentage of new information gained is 8.125%, with post-test standard deviation (SD) = 3.25, pre-test SD = 4.50, and a paired t-test (p = 2.04) at the 0.05 significance level. The results of the t-test, which compared the data with a predetermined value (= 2.18), demonstrated a significant difference and the efficacy of the planned education program in raising community members' awareness of environmental health at the level of 0.05. At the 0.05 level of significance, the computed “t” value (t = 9.3235) was greater than the table value (t = 2.04). Hence, we may say that H1 was a successful research hypothesis. The results of the study showed that the community members’ understanding of environmental health improved after the planned education program was implemented.

Keywords

References (14)

  1. Ryerson WN. (2010). Population: the multiplier of everything else. [Online] Available at https://overpopulation-project.com/wp-content/uploads/2018/12/2010_Ryerson_TheMultiplierofEverythingElse_PostCarbonReaderSeries5221.pdf [Accessed on June 2023]
  2. Panda S, Dhaka RK, Panda B, Pradhan A, Jena C, Nanda L. A review on application of Machine Learning in Solar Energy & Photovoltaic Generation Prediction. 2022 International Conference on Electronics and Renewable Systems (ICEARS). 2022:1180-1184. doi:10.1109/icears53579.2022.9752404
  3. Panda S, Gupta M, Malvi CS, Panda B. Effect of Depositions on PV Panel with proposal of a self cleaning system. 2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC). 2021:1-6. doi:10.1109/aespc52704.2021.9708543
  4. Panda S, Gupta M, Malvi C, Panda B, Jena C, Nanda L, et al. Comprehensive review on Advanced Cooling Techniques for Photovoltaic Panel. 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). 2022:1-5. doi:10.1109/parc52418.2022.9726538
  5. Panda S, Gupta M, Panda B, Jena C, Nanda L, Pradhan A, et al. A review on advanced cooling techniques for photovoltaic panel. Materials Today: Proceedings. 2022;62:6799-6803. doi:10.1016/j.matpr.2022.04.925
  6. Panda S, Dhaka RK. Application of artificial intelligence in medical imaging. In: Machine learning and deep learning techniques for medical science. Boca Raton, FL: CRC Press; 2022. pp. 195–202.
  7. Kumar R, Parihar DS, Panda S, Bhadauriya AS. (2021). Acceptance and reticence to COVID-19 vaccine among college students in India. Curr Trends Inf Technol; 11 (3): 17–23. doi:10.37591/ctit.v11i3.881.
  8. Kumar R, Bhadoria AS, Panda S. Covid-19: estimation of the severity and healthcare utilization: a model-based analysis. Int J Adv Sci Technol. 2020; 29: 15164–15171.
  9. Kumar R, Mini A, Parihar DS, Garhpale A, Panda S, Panda B. A cross-sectional assessment of Gwalior residents’ reports of adverse reactions to the COVID-19 immunization. Int J Sci Eng Technol; 2022; 15 (44): 2386–2392.
  10. Panda S, Gupta M. Experimental investigation on front surface cooling and back surface cooling for photovoltaic panels. Int J Early Child Spec Educ. 2022; 14 (5): 2688–2700.
  11. Panda S, Gupta M. Experimental investigation of a water based PV/T system with energy and exergy analysis. Eur J Mol Clin Med. 2022; 09 (07).
  12. Bose A. Demographic transition and demographic imbalance in India. Health Transit Rev. 1996; 6: 89.
  13. Ray SK A recent fieldwork conducted on knowledge toward family size preferences among urban peoples. Home Comm Sci. J & K (India). 2009); 143.
  14. Onwuzurike BK, Uzochukwu BS. Knowledge, attitude and practice of family planning amongst women in a high density low income urban of Enugu, Nigeria. Afr J Reprod Health. 2001 Aug;5(2):83-9. PMID: 12471916.