Prevalence and associated factors of diarrhea among under-five children in the Jawi district, Awi Zone Ethiopia, 2019. Community based comparative cross-sectional study

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Study Justification:
– Diarrhea is a leading cause of death among children under the age of five worldwide.
– The prevalence and risk factors of diarrhea in the Jawi district, Awi Zone, Ethiopia have not been well-studied.
– Understanding the prevalence and associated factors of diarrhea in this area can help inform targeted interventions and policies to reduce the disease burden.
Study Highlights:
– The study found that the overall prevalence of diarrhea among under-five children in the Jawi district was 15.5%.
– Diarrheal disease prevalence was lower in model households (10.9%) compared to non-model households (20%).
– Shallow water and maternal diarrhea were identified as determinants of childhood diarrhea.
– In non-model households, place of birth and maternal diarrhea were also determinants of childhood diarrhea.
Study Recommendations for Lay Reader:
– Health extension workers should focus on educating mothers on how to handle diarrheal diseases to decrease the prevalence of under-five children diarrheal disease in the Jawi district.
– Concerned stakeholders should promote institutional delivery and provide access to safe water for the community.
Study Recommendations for Policy Maker:
– Allocate resources to train and support health extension workers in educating mothers on diarrheal disease prevention and management.
– Implement policies to promote institutional delivery and improve access to safe water in the Jawi district.
Key Role Players Needed to Address Recommendations:
– Health extension workers
– Mothers and caregivers
– Stakeholders in the health sector
– Local government authorities
Cost Items to Include in Planning the Recommendations:
– Training programs for health extension workers
– Educational materials for mothers and caregivers
– Infrastructure improvements for safe water access
– Monitoring and evaluation activities to assess the impact of interventions

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a comparative cross-sectional study, which provides valuable information on the prevalence and risk factors of diarrhea among under-five children in the Jawi district, Awi Zone, Ethiopia. The sample size of 440 participants is adequate for this type of study. Data collection was done using a face-to-face interviewer-administered questionnaire, which helps ensure accurate information. Data analysis was conducted using appropriate statistical software. The study also includes adjusted odds ratios and confidence intervals to determine significant associations. However, there are some areas for improvement. The abstract lacks information on the representativeness of the study sample and the response rate, which could affect the generalizability of the findings. Additionally, the abstract does not provide details on the reliability and validity of the questionnaire used. Including this information would enhance the strength of the evidence.

Introduction: Although most deaths are preventable with simple and inexpensive measures, death from diarrhea accounts for one out of nine deaths in children worldwide which makes it the disease with the highest mortality rate in children under the age of five. Therefore, this study is aims to investigate diarrhea prevalence and risk factors among children under the age of five in Jawi district, Awi Zone, Ethiopia. Materials and methods: A comparative cross-sectional study was done among 440 study participants from March to June 2019. Data were collected with a face-to-face interviewer-administered questionnaire. Data was entered into EPI Info version 7 software and cleaned and analyzed using SPSS version 20 software. Binary logistic regression was done to assess independent factors associated with the dependent variable. A significant association was determined using an adjusted odds ratio at a confidence level of 95% and a p-value of less than or equal to 0.05. Results: In the current study, the overall under-five children diarrheal disease was found to be 15.5%. Diarrheal disease prevalence in model and non-model households was 10.9 and 20%, respectively. Shallow water [AOR: 6.12, 95%CI; (1.52, 24.58)], and maternal diarrhea [AOR: 4.11, 95%CI; (1.75, 9.61)] were determinants of childhood diarrhea. Place of birth [OR: 2.52, 95%CI (1.16, 5.49)] and maternal diarrhea [AOR: 3.50; 95%CI (1.28, 9.56)] in non-model households were also determinants of childhood diarrhea. Conclusion: Under-five children diarrheal disease was found to be high in the Jawi District. Thus, to decrease the disease prevalence in the study area, the health extension workers aim to better educate the mothers on how to handle diarrheal diseases. It is also better for concerned stakeholders to promote institutional delivery and to give access to safe water for the community.

A community-based comparative cross-sectional study was conducted from May to June 2019. The Jawi district is found in the Western Amhara region 540 km away from Addis Ababa, the capital of Ethiopia, and 200 km away from Bahir Dar, the capital city of Amhara regional state. A total of 163,102 people live in this district, of which 50% are female. From the total population, about 19,399 are under-five children. There are about 35 governmental health institutions (28 health posts, six health centers, and one primary hospital) and 38 non-governmental health institutions (four medium clinics and 34 primary clinics) in the district. The total health workforces were about 215 of which 63 were found to be health extensions in the district. The water source of the district was mainly shallow (425), followed by a hand pump (100) and a water pipe in three kebeles (Figure 1). All under-five children were included, but any children whose caregivers were mentally ill and had a hearing problem were excluded from the study. Map showing Jawi District, Awi Zone, Ethiopia. The sample size was determined by using a double population proportion formula considering, 6.4% the proportion of diarrhea in extension modeled HHs and 25.5% the proportion of diarrhea in extension none modeled HHs among under-five children (11), 95% confidence level and 80% power. In the study that was conducted in the Sheko district the n1 was 275 and n2 was 550 with a ratio of two, based on this information I was calculated and pulled p and q values. The pulled p-value is 0.1913 and q is 0.809. Therefore, by considering the design effect of 2 and 10 percent non-response rates, the total sample size was 440. n1 = number of exposed (number of model households). n2 = number of non-exposed (number of non-model households). p1 = proportion of diarrheal case among children living model households. p2 = proportion of diarrheal case among children living in non-model households –p = pulled p-value; –q = pulled q value. The largest sample size obtained using the associated factor for this study was 148. By considering 10% of non-response and two design effects, the largest sample size was estimated to be 326 which was less than the sample size calculated above. Therefore, the final sample size for this study was 440. In the study district, there were two health extension modeled and 26 non-modeled kebeles. The kebeles were stratified to health extension modeled and not modeled. From the non-model kebeles, three kebeles were randomly selected using the lottery method and two kebeles from the modeled stratum were surveyed. From each selected kebele, households that have at least one child were enumerated by data collectors. Then, systematic random sampling was used to select households. The lottery method was used if there was more than one child in the household. When a household was closed during data collection, the next household was included. Diarrhea was defined as passing three or more loose or watery stools in 24 h in the household within the 2 weeks before the survey, as reported by the mother/caretaker of the child (14). Model household was defined as having a household head/caregiver who had taken basic training for 96 h and graduated on the 16 health extension packages (15). Non-model family was defined as having a household head/caregiver who had not taken basic training on the 16 health extension packages (15). Handwashing at a critical time was based on whether a mother/caregiver practiced all simple hand washings before food preparation, before child feeding, after child cleaning, and after latrine visiting. If these criteria were met, it was considered to be “all practiced” otherwise it was considered to be “partially practiced (16).” Proper refuse disposal was defined as a way of disposal of refuse which includes burning, buried in a pit or stored in a container, composting, and disposed of at a designated site, whereas disposal in an open field was considered as improper refuse disposal (14). A pretested, face-to-face interviewer-administered structured questionnaire was used to collect the desired sample size. The tool was first developed in English and translated to the local language then back to English to keep the tool consistent. The data was collected by four nurses and there was one health officer for supervision. Data was collected from the mother, father, or other caregivers using an interviewer-administered questionnaire. Data collector nurses and a supervisor were trained on basic interviewing techniques. The data were checked daily for its completeness by supervisors and principal investigators. The tool was pre-tested in 5% of the sample in deke 01 kebele. Data was entered into EPI Info version 7 software and cleaned and analyzed using SPSS version 20 software. Frequency, percentage, and mean were used to describe the characteristics of study participants. Binary logistic regression was carried out to assess independent factors associated with the dependent variable. A significant association was determined using an adjusted odds ratio at a confidence level of 95% and a p-value of less than or equal to 0.05.

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

1. Health Extension Workers Training: Provide comprehensive training to health extension workers on maternal health, including prevention and management of diarrhea in children under the age of five. This would enable them to better educate mothers on how to handle diarrheal diseases and promote proper hygiene practices.

2. Promotion of Institutional Delivery: Collaborate with stakeholders to promote institutional delivery in the Jawi district. This would ensure that mothers have access to skilled birth attendants and necessary medical interventions, reducing the risk of maternal and child health complications.

3. Access to Safe Water: Work with concerned stakeholders to improve access to safe water sources in the community. This could involve implementing water purification systems, promoting proper sanitation practices, and ensuring the availability of clean drinking water for households.

4. Health Education Campaigns: Conduct health education campaigns targeting mothers and caregivers in the Jawi district. These campaigns could focus on topics such as proper hygiene practices, breastfeeding, nutrition, and early recognition and management of diarrhea in children.

5. Strengthening Health Facilities: Invest in strengthening the existing health facilities in the district, including health posts, health centers, and clinics. This could involve improving infrastructure, ensuring the availability of essential medical supplies and equipment, and training healthcare providers on maternal and child health care.

It is important to note that these recommendations are based on the information provided and may need to be tailored to the specific context and needs of the Jawi district.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Health Extension Worker Training: The study highlights the importance of educating mothers on how to handle diarrheal diseases in under-five children. To improve access to maternal health, a recommendation would be to develop a comprehensive training program for Health Extension Workers (HEWs) that focuses on maternal health, including the prevention and management of diarrheal diseases in children. This training program should provide HEWs with the necessary knowledge and skills to educate mothers on proper hygiene practices, safe water sources, and early recognition and treatment of diarrheal diseases.

2. Promotion of Institutional Delivery: The study found that the place of birth was a determinant of childhood diarrhea, with a higher prevalence in non-model households. To improve access to maternal health, it is recommended to promote institutional delivery by raising awareness among pregnant women and their families about the benefits of giving birth in a healthcare facility. This can be done through community outreach programs, health education campaigns, and incentives for women who choose to deliver in a healthcare facility.

3. Access to Safe Water: The study identified shallow water as a risk factor for childhood diarrhea. To improve access to maternal health, it is crucial to ensure that communities have access to safe water sources. This can be achieved through the implementation of water supply projects, such as the construction of hand pumps or water pipes, in areas where shallow water sources are prevalent. Additionally, promoting proper water treatment and storage practices can further reduce the risk of diarrheal diseases in children.

By implementing these recommendations, it is expected that access to maternal health will be improved, leading to a reduction in the prevalence of childhood diarrhea and ultimately improving the overall health and well-being of mothers and children in the Jawi district, Awi Zone, Ethiopia.
AI Innovations Methodology
To improve access to maternal health in the Jawi district, Awi Zone, Ethiopia, the following innovations could be considered:

1. Mobile Health Clinics: Implementing mobile health clinics that travel to remote areas of the district can provide essential maternal health services, including prenatal care, postnatal care, and family planning. These clinics can reach women who have limited access to healthcare facilities due to geographical barriers.

2. Telemedicine: Introducing telemedicine services can enable pregnant women to consult with healthcare professionals remotely. This can be particularly beneficial for women in rural areas who may have difficulty traveling to healthcare facilities. Telemedicine can provide prenatal check-ups, health advice, and emergency consultations.

3. Community Health Workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and the community. These workers can provide education on maternal health, conduct regular check-ups, and refer women to appropriate healthcare services when needed.

4. Maternal Health Education Programs: Implementing comprehensive maternal health education programs can empower women with knowledge about prenatal care, nutrition, hygiene, and birth preparedness. These programs can be conducted through community workshops, radio broadcasts, and mobile phone applications.

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

1. Baseline Data Collection: Gather data on the current state of maternal health access in the Jawi district, including the number of healthcare facilities, healthcare workforce, and maternal health indicators such as antenatal care coverage and institutional delivery rates.

2. Define Key Indicators: Identify key indicators that reflect improved access to maternal health, such as increased antenatal care attendance, increased institutional delivery rates, and reduced maternal mortality rates.

3. Intervention Implementation: Implement the recommended innovations, such as mobile health clinics, telemedicine services, community health worker programs, and maternal health education programs.

4. Data Collection: Collect data on the utilization of the implemented interventions, including the number of women accessing services, the frequency of telemedicine consultations, and the attendance at community health worker visits. Also, collect data on key maternal health indicators.

5. Data Analysis: Analyze the collected data to assess the impact of the interventions on the key maternal health indicators. Compare the data before and after the implementation of the interventions to determine any improvements in access to maternal health.

6. Evaluation and Recommendations: Evaluate the results of the data analysis and make recommendations for further improvements or adjustments to the interventions. This evaluation can help inform future strategies and policies to enhance access to maternal health in the Jawi district.

By following this methodology, stakeholders can gain insights into the effectiveness of the recommended innovations and make informed decisions to improve access to maternal health in the Jawi district.

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