Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Utilization of insecticide-treated bed nets and key factors among households in resource-limited settings, Northwest Ethiopia

View through CrossRef
Abstract Background Insecticide-treated mosquito nets (ITNs) act as an essential tool in malaria prevention by serving as a physical barrier against the disease. In sub-Saharan Africa, the use of ITNs remains a cornerstone in efforts to reduce malaria transmission. Despite their importance, there is limited evidence on ITN utilization and the factors influencing their use in Ethiopia. The objective of this study was to assess utilization of insecticidal treated bed nets and its key factors among Households i n resource-limited settings, Northwest, Ethiopia, in 2024. Methods A community-based cross-sectional study was carried out from January 30 to March, 2024. A total of 492 randomly selected Households were included. Data were acquired using a pre-tested structured questionnaire and an observational checklist. Binary logistic regression was initially used to select variables associated with the use of insecticide-treated bed nets. Variables with a p-value less than 0.25 in the bivariable analysis were selected for inclusion in the multivariable logistic regression model. In the multivariable analysis, factors with a p-value less than 0.05 and 95% confidence intervals were considered statistically significant. Results A total of 492 study participants responded to the questionnaire, resulting in a response rate of 98.4%. Approximately 71.3% (95% CI 67.2%, 74.9%) of the respondents reported utilizing insecticide-treated nets on the night before the data collection day. Factors significantly associated with ITN utilization included being female (AOR = 1.538; 95% CI 1.157, 3.135), households with illiterate educational status (AOR = 0.237; 95% CI 0.026, 0.871), households with monthly income > 1000 ETB (AOR = 1.372; 95% CI 1.038, 3.184), and households that had received information (messages) about ITN use (AOR = 1.310; 95% CI 1.125, 3.229). Conclusion The utilization of insecticide-treated bed nets (ITNs) among households was 71.3%, which was lower than the WHO recommendation (80%). Key factors significantly associated with ITN utilization included being female, educational status, higher household income, and receiving information (messages) about ITN use. Targeted interventions, such as community education and awareness campaigns, are essential to improve ITN utilization. Addressing these factors can close the gap with WHO standards and reduce the malaria burden effectively.
Title: Utilization of insecticide-treated bed nets and key factors among households in resource-limited settings, Northwest Ethiopia
Description:
Abstract Background Insecticide-treated mosquito nets (ITNs) act as an essential tool in malaria prevention by serving as a physical barrier against the disease.
In sub-Saharan Africa, the use of ITNs remains a cornerstone in efforts to reduce malaria transmission.
Despite their importance, there is limited evidence on ITN utilization and the factors influencing their use in Ethiopia.
The objective of this study was to assess utilization of insecticidal treated bed nets and its key factors among Households i n resource-limited settings, Northwest, Ethiopia, in 2024.
Methods A community-based cross-sectional study was carried out from January 30 to March, 2024.
A total of 492 randomly selected Households were included.
Data were acquired using a pre-tested structured questionnaire and an observational checklist.
Binary logistic regression was initially used to select variables associated with the use of insecticide-treated bed nets.
Variables with a p-value less than 0.
25 in the bivariable analysis were selected for inclusion in the multivariable logistic regression model.
In the multivariable analysis, factors with a p-value less than 0.
05 and 95% confidence intervals were considered statistically significant.
Results A total of 492 study participants responded to the questionnaire, resulting in a response rate of 98.
4%.
Approximately 71.
3% (95% CI 67.
2%, 74.
9%) of the respondents reported utilizing insecticide-treated nets on the night before the data collection day.
Factors significantly associated with ITN utilization included being female (AOR = 1.
538; 95% CI 1.
157, 3.
135), households with illiterate educational status (AOR = 0.
237; 95% CI 0.
026, 0.
871), households with monthly income > 1000 ETB (AOR = 1.
372; 95% CI 1.
038, 3.
184), and households that had received information (messages) about ITN use (AOR = 1.
310; 95% CI 1.
125, 3.
229).
Conclusion The utilization of insecticide-treated bed nets (ITNs) among households was 71.
3%, which was lower than the WHO recommendation (80%).
Key factors significantly associated with ITN utilization included being female, educational status, higher household income, and receiving information (messages) about ITN use.
Targeted interventions, such as community education and awareness campaigns, are essential to improve ITN utilization.
Addressing these factors can close the gap with WHO standards and reduce the malaria burden effectively.

Related Results

Social network correlates of free and purchased insecticide-treated bed nets in rural Uganda
Social network correlates of free and purchased insecticide-treated bed nets in rural Uganda
Abstract Background Malaria is a major cause of mortality and morbidity in Uganda. Despite Uganda’s efforts to distribute bed nets, only half of hou...
Access Denied
Access Denied
Introduction As social-distancing mandates in response to COVID-19 restricted in-person data collection methods such as participant observation and interviews, researchers turned t...
The impact of adaptive mosquito behavior and insecticide-treated nets on malaria prevalence
The impact of adaptive mosquito behavior and insecticide-treated nets on malaria prevalence
Abstract Malaria prevalence in sub-Saharan Africa remains high. Kenya for example, records about 3.5 million new cases and 11 thousand deaths eac...

Back to Top