Long-Lasting Insecticidal Net Coverage and Utilization in Burla Town of Sambalpur District: A Cross-Sectional Study

被引:0
|
作者
Mishra, Sanjeeb K. [1 ,2 ]
Pradhan, Gourahari [3 ]
Patra, Soumya R. [4 ]
Panigrahi, Ashok K. [5 ]
Pradhan, Subrat K. [2 ]
机构
[1] Indian Council Med Res, Field Epidemiol Training Program, Chennai, India
[2] Veer Surendra Sai Inst Med Sci & Res, Community Med, Sambalpur, India
[3] Veer Surendra Sai Inst Med Sci & Res, Pulm Med, Sambalpur, India
[4] Govt Med Coll, Gen Med, Sundargarh, India
[5] Veer Surendra Sai Inst Med Sci & Res, Pharmacol, Sambalpur, India
关键词
healthcare surveys; long-lasting insecticidal nets; vector-borne diseases; llin use; services utilization; insecticide-treated bed nets; OWNERSHIP; MALARIA;
D O I
10.7759/cureus.61947
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Vector -borne diseases continue to significantly contribute to mortality and morbidity, especially in developing nations. Vector management is a key pillar in combating these diseases, and long-lasting insecticidal nets (LLINs) are cost-effective tools. The Government of India, under the National Vector Borne Disease Control Programme (NVBDCP), has distributed LLINs for free to increase coverage and utilization. This study aims to estimate the coverage and utilization of LLINs in Burla town. Method This cross-sectional study was conducted from October to December 2022 in Burla town of Sambalpur in Odisha, India. The estimated sample size was 510 households, assuming 50% coverage. Multi -stage cluster sampling was adopted to select the Anganwadi centers and households. A pretested questionnaire was utilized for data collection by trained personnel through Epicollect5 (Centre for Genomic Pathogen Surveillance, Oxford, UK). Logistic regression was used to identify predictors for LLIN usage. Results The survey covered 516 households with 2,541 individuals and 1,165 nets. Household -level coverage was 94.2%, and regular utilization was 45.74%. Skin reactions (35.7%) were the most common reason for nonusage, followed by low mosquito density (12%). Logistic regression showed that the number of rooms (adjusted odds ratio (AOR) = 0.663, p = 0.012), number of bed nets (AOR = 2.757, p < 0.001), knowledge of malaria (AOR = 2.92, p = 0.04), adopting other measures for mosquito control (AOR = 0.295, p < 0.001), and washing the net (AOR = 1.92, p = 0.028) significantly predicted sleeping under mosquito net. Conclusion Our study has depicted high coverage of LLINs in Burla town, but utilization needs further improvement. Counseling regarding proper use can decrease the skin reactions responsible for non -usage. Regular health education programs are required to emphasize the benefits of LLIN use, along with regular monitoring and supervision.
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页数:9
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