Factors influencing consistent use of bed nets for the control of malaria among children under 5 years in Soroti District, North Eastern Uganda

listen audio

Study Justification:
The study aimed to investigate the factors influencing the consistent use of bed nets for malaria control among children under 5 years in Soroti District, North Eastern Uganda. This research was important because the use of insecticide-treated bed nets has been proven effective in reducing malaria transmission in highly endemic areas. However, consistent use of bed nets, especially among vulnerable groups like children under 5 years, remains a challenge. Understanding the factors that affect consistent bed net use can help inform interventions and strategies to improve malaria control in the region.
Highlights:
– The study found that only 56.8% of children under 5 years in Soroti District used bed nets consistently.
– Factors affecting consistent bed net use included the age of the child, their use of bed nets the previous night, occupation of the caretaker, respondents’ perceived susceptibility to malaria, perceived risk of getting malaria, and the size and shape of the bed nets.
– Key informants highlighted that rectangular nets were difficult to hang daily in huts, which may contribute to inconsistent use.
– Consistent bed net use among children under 5 years in Soroti District is still below the RBM target of 85% by 2015.
Recommendations:
– Provide conical bed nets: The study suggests that providing conical bed nets, which are easier to hang daily in huts, may enhance consistent bed net use among children under 5 years.
– Health education program: Implementing a health education program that emphasizes the effectiveness of even one mosquito in spreading malaria at night to the entire household and the ability of bed nets to stop transmission better than other methods can help increase awareness and promote consistent bed net use.
Key Role Players:
– District Health Officer (DHO)
– Malaria control focal person
– Assistant District Health Officer (ADHO) – Environmental Health
– ADHO – Maternal and Child Health (MCH)
– District Health Educator (DHE)
– Project officers from Stop Malaria Project, Teso Safe Motherhood Project, and World Vision Soroti
Cost Items for Planning Recommendations:
– Procurement of conical bed nets
– Development and implementation of a health education program
– Training and capacity building for health workers and community health volunteers
– Monitoring and evaluation of the interventions
– Communication and dissemination of information materials
– Coordination and management of the interventions
Please note that the cost items provided are general categories and not actual cost estimates. The specific costs will depend on the context and resources available in Soroti District.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a population-based cross-sectional household survey that employed both quantitative and qualitative methods of data collection. The study provides specific details about the study design, sample size, data analysis, and key findings. However, the abstract could be improved by including more information about the representativeness of the sample and the generalizability of the findings. Additionally, it would be helpful to include information about any limitations of the study and suggestions for future research.

Background: The use of insecticide-treated bed nets has been proven to be effective in reducing malaria transmission in highly endemic areas. Use of long-lasting insecticidal nets (LLINs) has been embraced by many malaria endemic countries. LLINs are up to 95% effective in inhibiting blood feeding, when used consistently even after 7 years. The challenge, however, is enhancing their consistent use, especially by the most vulnerable groups (children under 5 years and pregnant women). The study established factors associated with consistent use of bed nets for malaria control among children under 5 years in Soroti district. Methods: The study employed a cross-sectional design, with multi-stage sampling of households. A total of 400 households (HH) were sampled and the HH head in each household interviewed. Key informant interviews (KIIs) were conducted with 7 key informants who were knowledgeable on the subject matter. Data analysis was done using SPSS 17.0 at Univariate, Bivariate and Multivariable levels; after entry and cleaning. Key informants’ data were summarized manually; verbatim quotes and text used to reinforce quantitative data in line with objectives. Results: Only 56.8% of the 690 children under 5 years used bed nets consistently. The factors affecting consistent bed net use were age of the child, their use of bed nets the previous night, occupation of caretaker, respondents’ perceived susceptibility, perceived risk of getting malaria, size and shape of the bed nets. Rectangular nets were difficult to hang daily in huts according to most key informants. Conclusion: Consistent bed net use among under fives is still below the RBM target of 85% by 2015 and can be enhanced by providing conical bed nets and setting aside a health education programme to emphasize the effectiveness of even one mosquito in spreading malaria at night to the entire household and ability of bed nets to stop transmission better than other methods.

This was a population-based cross-sectional household survey that employed both quantitative and qualitative methods of data collection. The study was conducted in Soroti district. Soroti district is located in North-Eastern Uganda, neighbouring Kaberamaido district in the West, Amuria district in the North, Katakwi district in the North-East. In the Southern part of the district lies Kamuli, Kumi, Ngora and Pallisa districts, together with Lake Kyoga. The total land area of the district is 2665 km2, of which 84.8% is dry land and 15.2% water bodies. Soroti district is made up of two counties, 10 sub-counties, 50 parishes and 386 villages. The district had a population of 305,900 people in 2011; consisting majorly of the Iteso. There was a reported relatively high burden of Communicable diseases, especially malaria (51.8%), acute respiratory-tract infections (ARTIs) 47.6%, diarrhoeal diseases 38.6% and maternal-child health conditions 29.6% [31]. The economic activities include subsistence farming, small businesses, fishing and animal rearing. The study population consisted of children under 5 years of age in Soroti district. The eligible population was residents who were present in the sampled Households (HHs) in the previous 12 months to the survey. Individual interviews were conducted with eligible heads of HHs or any adult living together with children under 5 years in each household. Qualitative data was obtained from key informants, including the DHO, malaria control focal person, ADHO-Environmental Health, ADHO-MCH, DHE, project officers of Stop Malaria Project, Teso Safe Motherhood Project and World Vision Soroti. HHs with at least one child under 5 years of age were included in the survey. The respondents were the heads of HHS or their designated spouse or any member of the household who was aged 18 years and above and also individual heads of HHS who lived with children under 5 years daily for the previous 12 months. The sample size for the study was calculated using Kish Leislie’ formula 1965 [48] for a cross-sectional study, with a 5% additional number to cater for non-response. where Zα/2: Z-value corresponding to alpha level of significance of 5%; P: estimated proportion of bed net use among children under 5 years in Uganda. P = 41%, obtained from Uganda Malaria Indicator Survey, 2009. q: 1 − p; d: absolute precision; g: design effect because of multi-stage cluster sampling. A total of 7 key informants were interviewed. The study involved interviewing 400 heads of HHs and 7 key informants purposively chosen with respect to their positions and technical knowledge on consistent use of bed nets in the district. Quantitative and qualitative methods of data collection were used. Quantitative data was obtained using interviewer administered semi-structured household questionnaires while qualitative data was obtained through key informant interviews with 7 key informants. For quantitative data collection, research assistants were trained for 2 days on the all the aspects of survey procedures meanwhile, for qualitative data collection, the Principal Investigator (PI) conducted key informant interviews with 7 key informants. A written consent was obtained before conducting Key informant interviews. The interviews were guided by open-ended questions in the KI guide. The PI listened critically and wrote down notes of all responses to the questions asked using short hand. Tools were pre-tested in Arapai parish and appropriate adjustments made to ensure a complete capture of required data. Pre-testing also facilitated transformation of semi-structured questionnaires into structured which eased data entry and analysis. The questionnaires were checked and edited by the principal investigator and research assistants during and after the data collection exercise. Data was checked for completeness by filling-up any missing links and reconciling any mismatches. Coding of none pre-coded data was done after the whole data collection exercise. Data in each uniquely identified questionnaire was entered into SPSS computer package by the principal investigator. Research Assistants (RAs) were trained for 2 days before data collection commenced. Data collection tools were translated into Ateso, the local dialect to ensure consistency in the way the questions were asked for accuracy of the data collected. A pre-test of the data collection tools was conducted in Arapai parish. That allowed research assistants to practice asking the translated questions to ensure consistency and prompt adjustment of data collection tools. Field editing of data and checking for completeness was done daily by the principal investigator and RAs. Key informants were interviewed by the principal investigator to ensure accurate asking of questions and capture of all responses appropriately. The PI listened critically and wrote down notes of all responses to the questions asked using short hand. Quantitative data was entered into SPSS computer package, cleaned and analyzed using SPSS 17.0. The questionnaire unique identifiers were used to merge data on each child enumerated in each household to form a single data set on which analysis was based. Univariate, Bivariate and multivariable analysis was done. Analysis was limited to only those children aged 1–4 years (determined by outcome variable) who used bed nets for protection against mosquitos so as to eliminate the influence of household bed net access. Also further assessment of respondents’ knowledge about malaria was under taken (Additional file 1). We received ethical approval from the Uganda National Council of Science and Technology (UNCST), through the Makerere University School of Public Health Higher Degrees Research and Ethics Committee (HDREC). All respondents provided written informed consent upon receiving details of the study. All eligible participants voluntarily consented, anonymity of the participants and respondents were kept confidential throughout the study.

Based on the information provided, here are some potential innovations that could improve access to maternal health:

1. Mobile health clinics: Implementing mobile health clinics that travel to remote areas can provide access to maternal health services for women who may not have easy access to healthcare facilities.

2. Telemedicine: Using telemedicine technology, healthcare providers can remotely provide prenatal and postnatal care to women in rural areas, reducing the need for them to travel long distances to receive care.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support in underserved areas can help improve access to care.

4. Maternal health vouchers: Implementing a voucher system that provides women with access to essential maternal health services, such as prenatal care, delivery, and postnatal care, can help reduce financial barriers to accessing care.

5. Maternal health education programs: Developing and implementing educational programs that focus on maternal health, including the importance of consistent bed net use, can help increase awareness and knowledge among women and their families.

6. Public-private partnerships: Collaborating with private sector organizations to improve access to maternal health services can help leverage resources and expertise to reach more women in need.

7. Improving transportation infrastructure: Investing in transportation infrastructure, such as roads and ambulances, can help ensure that women can reach healthcare facilities in a timely manner during emergencies.

8. Maternal health incentives: Providing incentives, such as cash transfers or vouchers, to women who seek and receive maternal health services can help encourage utilization of these services.

9. Strengthening health systems: Investing in the overall strengthening of health systems, including training healthcare providers, improving supply chains, and ensuring the availability of essential medicines and equipment, can help improve access to maternal health services.

10. Integrating maternal health services: Integrating maternal health services with other healthcare services, such as family planning and HIV/AIDS care, can help ensure comprehensive care for women throughout their reproductive years.

It is important to note that the specific recommendations for improving access to maternal health should be tailored to the local context and needs of the community.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health would be to implement a health education program that emphasizes the effectiveness of bed nets in preventing malaria transmission. This program should specifically target pregnant women and caregivers of children under 5 years old in Soroti District, North Eastern Uganda. The program should highlight the importance of consistent use of bed nets, especially conical bed nets, which are easier to hang daily in huts compared to rectangular nets. The program should also address the perceived susceptibility and risk of getting malaria, and educate the community about the ability of bed nets to stop transmission better than other methods. By providing education and raising awareness about the benefits of bed nets, it is expected that the consistent use of bed nets among pregnant women and children under 5 years old will increase, ultimately improving access to maternal health.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase availability and distribution of conical bed nets: Since rectangular nets were found to be difficult to hang daily in huts, providing conical bed nets could encourage consistent use among children under 5 years and pregnant women.

2. Implement a health education program: Set aside a health education program to emphasize the effectiveness of even one mosquito in spreading malaria at night to the entire household and the ability of bed nets to stop transmission better than other methods. This program can help raise awareness about the importance of consistent bed net use.

3. Target vulnerable groups: Focus on reaching out to the most vulnerable groups, such as children under 5 years and pregnant women, to ensure they have access to bed nets and are educated on their proper use.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the indicators: Identify specific indicators that will be used to measure the impact of the recommendations, such as the percentage of children under 5 years consistently using bed nets and the percentage of pregnant women using bed nets.

2. Collect baseline data: Gather data on the current usage of bed nets among the target population, including children under 5 years and pregnant women. This data will serve as a baseline for comparison.

3. Implement the recommendations: Roll out the recommended interventions, such as increasing the availability of conical bed nets and implementing the health education program.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the indicators identified in step 1. This can be done through surveys, interviews, or other data collection methods.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. Compare the post-intervention data with the baseline data to determine any changes or improvements.

6. Draw conclusions and make adjustments: Based on the analysis, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. If necessary, make adjustments to the interventions to further enhance their impact.

7. Repeat the process: Continuously repeat the monitoring and evaluation process to track progress and make further improvements as needed. This iterative approach will help ensure ongoing improvement in access to maternal health.

Share this:
Facebook
Twitter
LinkedIn
WhatsApp
Email
Chat Icon DIMA AI Care
×