Health system, socio-cultural, economic, environmental and individual factors influencing bed net use in the prevention of malaria in pregnancy in two Ghanaian regions

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Study Justification:
– Improving maternal health is a priority for the Ghanaian government.
– Malaria in pregnancy can lead to negative outcomes such as low birth weight and miscarriages.
– The government has implemented the distribution of free long-lasting insecticidal nets (LLINs) to pregnant women as a strategy to combat malaria in pregnancy.
– However, the burden of negative outcomes is still high, indicating a need to understand the factors influencing LLIN use.
Study Highlights:
– Health system, socio-cultural, economic, environmental, and individual factors influence LLIN use.
– Health facility readiness in stocking LLINs influences ownership and use.
– Receiving appropriate information from health providers and encouragement from public officials improves LLIN use.
– Women with a history of LLIN use prior to pregnancy and women with young children are consistent users.
– Experiencing irritating effects of LLINs and preference for traditional methods reduce LLIN use.
– Pregnant women are influenced by household and family members’ use of LLINs.
– Gender power relations between husbands and wives influence women’s use of LLINs.
– Housing type and weather conditions contribute to inconsistent use.
– Staying out late for business purposes exposes pregnant women to mosquito bites.
Study Recommendations:
– Giving out LLINs at the facility level should be accompanied by comprehensive information relevant to the socio-cultural context.
– Mass distribution should consider individual and public information to promote community acceptance and proper use of LLINs.
– Facilities should maintain a stock of LLINs to ensure that ANC registrants receive them for use.
Key Role Players:
– Government health officials
– Health facility managers
– Health workers (midwives, physicians, administrators)
– Public officials
– Opinion leaders (assembly members, chiefs, traditional birth attendants)
– Procurement officers
– Laboratory personnel
– District health directorate officials
Cost Items for Planning Recommendations:
– LLIN procurement and distribution
– Training and capacity building for health workers
– Information and education campaigns
– Monitoring and evaluation activities
– Maintenance of LLIN stock in health facilities

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is ethnographic, which allows for in-depth understanding of the factors influencing bed net use in the prevention of malaria in pregnancy. The study includes a diverse range of participants, including health workers, pregnant women, and opinion leaders. The data collection methods are well-described, including in-depth interviews, observations, and conversations. The use of qualitative analysis software adds rigor to the analysis process. However, the abstract could be improved by providing more specific details about the sample size and demographics of the participants. Additionally, it would be helpful to include information about the limitations of the study and any potential biases that may have influenced the findings. Overall, the evidence in the abstract is strong, but these suggested improvements would enhance the clarity and transparency of the study.

Background: Improving maternal health remains a priority to the Ghanaian government. Consequently, it has implemented the World Health Organization recommendation of distributing free long-lasting insecticidal nets (LLINs) to pregnant women-one of the effective strategies to combating malaria in pregnancy. However, the burden of negative outcomes of malaria in pregnancy such as low birth weight and miscarriages is still high. This may be related to the health system, socio-cultural and economic dynamics that influence LLIN use, but their role is not well understood. This ethnographic study sought to understand health system, socio-cultural, economic and environmental dynamics in utilization of LLINs among pregnant women in two Ghanaian regions. Methods: An ethnographic study design was used. In-depth interviews and conversations were conducted among health workers, pregnant women and opinion leaders. Observations were conducted in 12 communities and eight health facilities. Ethical clearance was obtained from the University of Health and Allied Sciences’ Research Ethics Committee. Nvivo 11 was used to support data coding. Data were triangulated and analysed using a thematic approach. Results: Findings suggest health system, socio-cultural, economic, environmental and individual factors influenced LLIN use. Health facility readiness in stocking LLINs influenced ownership and use. Receiving appropriate information from health providers and encouragement from public officials improved LLIN use. Women with a history of LLIN use prior to becoming pregnant and women who had young children remained consistent users. Experiencing irritating effects of LLINs and preference for traditional methods to wade off mosquitoes, reduced LLIN use. Pregnant women whose household and family members used LLINs were influenced positively to use them. Gender power relations between husbands and wives influenced women’s use of LLINs. The type of housing and weather conditions contributed to inconsistent use. Staying out late for business purposes and to converse, exposed pregnant women to mosquito bites. Conclusion: Giving out LLINs at facility level should be accompanied with comprehensive information, which is relevant to the socio-cultural context that women live in. Mass distribution should factor in individual and public information to promote community acceptance and proper use of ITNs. Facilities should be encouraged to constantly maintain LLINs stock in order to ensure that ANC registrants receive LLINs for use.

The study was conducted in five districts, three in the Ashanti and two in the Volta regions of Ghana. Eight health facilities: (five government and three faith-based) and twelve communities were chosen for the study. A three-stage selection process was used: (i) Five districts were selected; (ii) the district hospitals in the five districts automatically qualified to participate in the study; (iii) the study team visited the hospitals and went through antenatal care (ANC) case records. The total number of malaria in pregnancy cases from January, 2015 to March, 2018 in the different communities was recorded and the community with the highest recorded number of malaria in pregnancy cases in each facility was chosen to participate in the study. Information on communities that each facility served was obtained from the offices of the study districts’ health directorate. Most of the communities had an average population of 10,000 inhabitants. However, one of the districts in the Volta region had communities with an average of 2000 inhabitants, so six communities with the highest number of malaria in pregnancy cases were combined to form two study units (Table 1). The study team then conducted community entry activities such as paying courtesy calls on the assembly members and chiefs and holding meetings with a cross section of opinion leaders to inform and to seek their permission to conduct the study in their communities. Interactions and interviews with pregnant women revealed that in some of the chosen communities specific health facilities were preferred for ANC services. Three of such facilities, which are faith-based health facilities comprising of two Christian and one Moslem health facility were included in the study (Table 1). Study health facilities and study communities with pseudonyms in the Ashanti and Volta Regions aStudy facilities in the Ashanti region have been given the pseudonyms: ASFacility01, ASFacility02, ASFacility03 and ASFacility04. Study communities in the Ashanti region have been given pseudonyms: ASCommunity01, ASCommunity02, ASCommunity03, ASCommunity04 bStudy facilities in the Volta region have been given the pseudonyms VRFacility01, VRFacility02, VRFacility03, VRFacility04. Study communities in the Volta Region have been given pseudonyms: VRCommunity01, VRCommunity02, VRCommunity03, VRCommunity04 This ethnographic study used non-participant observations, transect walks, conversations, in depth interviews (IDIs) and case studies to obtain data from health workers, pregnant women and community members, from April, 2018 to March, 2019. The research team comprised of eight research assistants and each was assigned to a facility and at least one community, to spend long and active periods to learn, experience and represent the lives of study subjects in their natural setting [17–19]. To prevent a Hawthorn effect, observations were conducted intermittently in the eight facilities and 12 communities [20]. MD participated in data collection and also supervised the implementation of the study. The Ewe and Twi languages were used for IDIs with pregnant women and community members in the Volta and Ashanti regions, respectively. Transect walks were carried out in the study communities to afford the team a visual picture of environmental issues such as mosquito breeding sites, hygiene conditions, type of housing, nearness and access to health facilities and other important areas in the communities. A research assistant carried out observations in a health facility and interacted with the pregnant women who attended ANC. The study was explained to them and those who were interested were taken through a consenting process and recruited to participate in IDIs, after a written consent had been obtained. Pregnant women were also recruited from the communities, using the snowball method. The first pregnant woman to be identified helped the research assistant to identify others. Opinion leaders such as assembly members, linguists, traditional birth attendants were also invited to participate in IDIs. Case studies were purposively selected from women who regularly attended ANC on a monthly basis and those who were irregular or skipped their ANC appointments. Pregnant women who were clinically diagnosed with malaria and were willing to participate in the study were included as case studies. They were visited several times at home for observations and conversations with research assistants. Health workers who provided ANC service and had been working in a facility for more than 1 year, majority of whom were midwives, were selected to participate in the study. Follow up conversations and interviews were conducted with procurement officers, laboratory personnel and officials at the district health directorate, to clarify some of the issues raised in IDIs with health providers and health managers. ANC unit managers commonly referred to as in-charge, facility managers such as senior medical officers, physician assistants and administrators, were also interviewed to help understand managerial and administrative issues. Details of the different category of study participants and the methods used for data collection have been presented in Table 2. Data collection methods and categories of respondents aObservations were carried out intermittently in 4 health facilities and 4 large communities from May, 2018 to March, 2019 in the Ashanti Region bObservations were carried out in four health facilities, 6 small and 2 large communities from April, 2018 to March, 2019 in the Volta Region Interviews were tape recorded and transcribed verbatim to preserve interviewees’ original messages and experiences. Interviews in Ewe and Twi were transcribed into English to enable easy analysis and comparison. Qualitative analysis software, Nvivo Version 11 was used to generate a coding list on common themes that arose from the data (interviews, observation notes and conversations). Two coders, independently coded the data thematically. The analysis aimed at identifying similarities, patterns, differences, and contradictions in the information presented by interviewees [21]. Main themes that were identified from the analysis formed the basis for interpreting and reporting on study findings. Ethical clearance was obtained from the University of Health and Allied Sciences’ Research Ethics Committee [UHAS-REC/A.I Ul 17−18]. Written consent was obtained from all interview participants, while oral consent was obtained from study participants that conversations were held with and for observations. Permission was sought from district directors of health and facility managers. Besides actual country and region names, pseudonyms have been used for individuals and facilities’ names, to protect informants’ identity.

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

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide comprehensive information on maternal health, including the importance of using long-lasting insecticidal nets (LLINs) to prevent malaria during pregnancy. These applications can also send reminders and notifications to pregnant women about ANC appointments and LLIN use.

2. Community Health Workers: Train and deploy community health workers to educate pregnant women and their families about the benefits of LLINs and provide support in accessing and using them correctly. Community health workers can also conduct regular follow-ups to ensure consistent LLIN use.

3. Public Awareness Campaigns: Launch targeted public awareness campaigns to increase knowledge and understanding of the importance of LLINs in preventing malaria during pregnancy. These campaigns can utilize various media channels, such as radio, television, and social media, to reach a wide audience.

4. Collaborations with Traditional Birth Attendants: Engage traditional birth attendants in promoting LLIN use among pregnant women. Provide them with training and resources to educate pregnant women about the benefits of LLINs and encourage their use during pregnancy.

5. Integration of LLIN Distribution with Antenatal Care Services: Ensure that LLIN distribution is integrated into routine antenatal care services. This can be done by providing LLINs to pregnant women during ANC visits and ensuring that health facilities always have an adequate stock of LLINs available.

6. Addressing Socio-cultural Factors: Develop culturally sensitive messaging and interventions that address socio-cultural factors influencing LLIN use. This may involve working closely with community leaders, opinion leaders, and religious institutions to promote the acceptance and proper use of LLINs.

7. Continuous Monitoring and Evaluation: Establish a robust monitoring and evaluation system to track LLIN distribution, utilization, and impact on maternal health outcomes. This will help identify any gaps or challenges in the implementation of LLIN programs and inform future improvements.

It is important to note that these recommendations are based on the specific context of the study conducted in Ghana. The implementation of these innovations should be tailored to the local context and involve collaboration with relevant stakeholders, including the government, healthcare providers, and community members.
AI Innovations Description
The recommendation from the study to improve access to maternal health is to accompany the distribution of long-lasting insecticidal nets (LLINs) with comprehensive information that is relevant to the socio-cultural context in which women live. This means providing pregnant women with appropriate information about the benefits of LLINs and addressing any concerns or preferences they may have regarding traditional methods of mosquito prevention. Additionally, the study suggests that public officials should encourage the use of LLINs and that health facilities should ensure they have an adequate stock of LLINs available for distribution to pregnant women. It is also important to consider the influence of gender power relations between husbands and wives, as this can impact women’s use of LLINs. Finally, the study recommends that mass distribution of LLINs should take into account individual and public information to promote community acceptance and proper use of LLINs.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Strengthen health facility readiness: Ensure that health facilities are adequately stocked with long-lasting insecticidal nets (LLINs) to improve ownership and use among pregnant women.

2. Provide comprehensive information: Accompany the distribution of LLINs with comprehensive information that is relevant to the socio-cultural context in which women live. This information should address the benefits of LLIN use and address any concerns or misconceptions that may exist.

3. Encourage community acceptance: Incorporate individual and public information campaigns to promote community acceptance and proper use of LLINs. This can include engaging public officials and opinion leaders to endorse and encourage LLIN use.

4. Address gender power relations: Recognize and address gender power relations between husbands and wives, as they can influence women’s use of LLINs. Engage men in discussions and education about the importance of LLIN use in preventing malaria in pregnancy.

5. Consider housing and weather conditions: Take into account the type of housing and weather conditions in the design and distribution of LLINs. This can help ensure that pregnant women have access to LLINs that are suitable for their living conditions.

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. For example, indicators could include the percentage of pregnant women who own and use LLINs, the number of malaria cases in pregnancy, and the percentage of pregnant women who receive comprehensive information about LLINs.

2. Collect baseline data: Gather baseline data on the current status of access to maternal health, including LLIN use and malaria cases in pregnancy. This can be done through surveys, interviews, and data analysis.

3. Implement the recommendations: Roll out the recommended interventions, such as strengthening health facility readiness, providing comprehensive information, and addressing gender power relations. Monitor the implementation process to ensure that the interventions are being carried out effectively.

4. Collect post-intervention data: After a sufficient period of time has passed to allow for the impact of the interventions to be observed, collect post-intervention data on the same indicators as the baseline data.

5. Analyze and compare data: Analyze the baseline and post-intervention data to determine the impact of the recommendations on improving access to maternal health. Compare the indicators to identify any changes or improvements that can be attributed to the interventions.

6. Draw conclusions and make recommendations: Based on the data analysis, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. Make recommendations for further improvements or adjustments to the interventions based on the findings.

7. Monitor and evaluate: Continuously monitor and evaluate the impact of the interventions over time to ensure that access to maternal health continues to improve. Make any necessary adjustments or modifications to the interventions based on ongoing monitoring and evaluation.

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