Sociocultural practices and beliefs during pregnancy, childbirth, and postpartum among indigenous pastoralist women of reproductive age in Manyara, Tanzania: a descriptive qualitative study

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Study Justification:
– Maternal and newborn morbidity and mortality rates have not improved significantly in hard-to-reach indigenous communities.
– Sociocultural beliefs in these communities strongly influence behaviors during pregnancy, childbirth, and postpartum.
– Understanding these sociocultural practices is crucial for developing interventions to improve maternal and newborn health outcomes.
Study Highlights:
– The study identified sociocultural beliefs and practices during pregnancy, childbirth, and postpartum among indigenous pastoralist women in Manyara, Tanzania.
– Both harmful and harmless practices were identified, such as the use of herbal preparations to augment labor and the application of strange substances in the birth canal after delivery.
– The practice of home delivery is changing due to increased knowledge of complications and improved accessibility of facilities.
– Sociocultural practices have a significant impact on the utilization of essential maternal and child health practices.
Study Recommendations:
– Eliminating unsafe peripartum practices will improve the use of medical services and outcomes for mothers and newborns.
– Public health interventions should consider the cultural context of marginalized indigenous communities.
– Healthcare providers should routinely inquire about traditional practices during the peripartum period to provide quality care and correct harmful practices.
Key Role Players:
– Researchers and experts in maternal and child health
– Community leaders and elders
– Traditional birth attendants
– Healthcare providers and facilities
– Government agencies and policymakers
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers on cultural practices and safe peripartum care
– Community engagement and awareness campaigns
– Development and dissemination of educational materials
– Strengthening healthcare facilities and services in indigenous communities
– Monitoring and evaluation of interventions
– Research and data collection on the impact of interventions

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides a descriptive qualitative study that identifies sociocultural beliefs and practices during pregnancy, childbirth, and postpartum among indigenous pastoralist women in Manyara, Tanzania. The study used purposive sampling and in-depth interviews to gather data. The findings show that sociocultural practices are widespread and both harmful and harmless practices were identified. The conclusion emphasizes the need to eliminate unsafe practices and recognize the cultural context in marginalized communities. To improve the evidence, the abstract could include more specific details about the sample size and demographics, as well as the specific harmful practices identified. Additionally, providing more information about the methodology and analysis techniques used would enhance the clarity and transparency of the study.

BACKGROUND: Despite interventions improving maternal and newborn morbidity and mortality, progress has been sluggish, especially in hard-to-reach indigenous communities. Sociocultural beliefs in these communities more often influence the adoption of particular behaviors throughout pregnancy, childbirth, and postpartum. Therefore, this study identified sociocultural beliefs and practices during pregnancy, childbirth, and postpartum among indigenous pastoralist women of reproductive age in the Manyara region, Tanzania. METHODS: The study was a descriptive qualitative design. We used purposive sampling to select twelve participants among community members who were indigenous women of Manyara who had ever experienced pregnancy. In-depth interviews were audio-recorded and transcribed verbatim, and organized manually. We used manual coding and inductive-deductive thematic analysis. RESULTS: The study’s findings showed that sociocultural beliefs and practices are widespread, covering antenatal through childbirth to the postnatal period. Both harmful and harmless practices were identified. For example, the use of herbal preparations to augment labor was reported. Previously, most women preferred home delivery; however, the practice is changing because of increased knowledge of home delivery complications and the accessibility of the facilities. Nevertheless, women still practice hazardous behaviors like applying strange things in the birth canal after delivery, increasing the risk of puerperal infection. CONCLUSIONS: Sociocultural practices are predominant and widely applied throughout the peripartum period. These beliefs encourage adopting specific behaviors, most harmful to both mother and fetus. These sociocultural practices tend to affect the utilization of some essential maternal and child health practices. Eliminating unsafe peripartum practices will increase the use of medical services and ultimately improve outcomes for both mothers and their newborns. Public health interventions must recognize the cultural context informing these cultural practices in marginalized indigenous communities. Healthcare providers should routinely take the history of commonly traditional practices during the peripartum period to guide them in providing quality care to women by correcting all harmful practices.

We conducted the study in one of the villages in the Manyara region that was purposively selected. Manyara region is occupied by tribes such as Iraq, Hadzabe, Akie, Maasai, and Datooga. The main economic activities in Manyara include livestock keeping, hunting, and farming. In this region, indigenous people keep their distinct culture, including language. People from the Manyara community are believed to survive entirely on hunting, traditional features, and customs [9]. As a result, this region’s community members strongly believe in their traditions, customs, cultural practices, and beliefs. This study is descriptive qualitative research. We used qualitative methods to better understand the cultural practices during pregnancy, childbirth, and postpartum to identify practices that negatively affect maternal and newborn health and to help recommend interventions to abolish such harmful practices [10]. The study population included indigenous women of reproductive age (18 to 49 years) who have ever been pregnant and residing in the Manyara region and who were purposively recruited based on their availability during the data collection period. All participants were made aware of the study’s purpose, methodology, and the voluntary nature of their involvement before any data were collected. The study participants were also told that the information they submitted would be kept private and that only the researchers on the team could access it. The Institutional Research Review Committee of the University of Dodoma granted ethical clearance for the study. In March 2021, we conducted twelve in-depth interviews guided by the saturation principle. The principal investigator (PI) and a nurse/midwife research assistant (RA) conducted the interviews. Experience in conducting interviews, using recorders, and knowing maternal health issues were the criteria for selecting the research assistant. A one-day training was conducted for the RA to understand the purpose of the study comprehensively, when to obtain written informed consent from the participants not to influence data collection, what questions to ask, and how to probe. We used a semi-structured interview guide in the Kiswahili language to collect information. The interviews lasted 45 to 50 minutes and were led by two moderators: one (PI) who asked the questions and another (RA) who assisted and recorded the interview and took notes. The interviews were conducted in the private room chosen by the study participant. In the interview, the participants were asked eight questions, to mention a few: “Where do the pregnant women go for childbirth?”, What are the most familiar traditional practices usually society do and beliefs during pregnancy, childbirth, and delivery?”, “What foods do pregnant women eat or not eat?” and several follow-up questions. We uploaded the audio files into a secured computer with a passcode immediately after each interview. The interviews were transcribed verbatim in the Kiswahili language and then translated into English by a bilingual person who speaks Kiswahili and English fluently. Analysis was done manually to avoid losing the meaning of the participants’ expressions. We conducted a thematic analysis following the steps outlined by Braun and Clarke [11]. An iterative, inductive-deductive, team-based coding approach was employed to code and analyze the data [12]. Using a team-based approach, we developed the codebook after re-reading all the transcripts (familiarization with data). The qualitative team had three meetings where codebooks and memos were presented, codes were updated, and any existing disagreement was resolved. We generated themes that involved open-ended coding of several transcripts with no predetermined codes or categories. Coding was done directly onto the hard copies of the transcripts during multiple readings of the interviews. Independent from each other, we coded interviews transcript by transcript and then shared and compared our coding findings to reconcile differences, if any. All the codes from the codebook were applied to all twelve transcripts, then refined, reduced, and expanded them. The study participants’ quotes illustrate the key findings.

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Based on the information provided, here are some potential innovations that could improve access to maternal health for indigenous pastoralist women in Manyara, Tanzania:

1. Culturally sensitive healthcare services: Develop healthcare services that are tailored to the specific sociocultural beliefs and practices of the indigenous pastoralist women. This could involve training healthcare providers to understand and respect the cultural practices and beliefs of the community, and integrating traditional practices that are safe and beneficial into the healthcare system.

2. Community education and awareness: Implement community-based education programs to raise awareness about the importance of safe maternal health practices and the potential risks associated with harmful traditional practices. This could involve working with community leaders, traditional birth attendants, and local organizations to disseminate information and promote behavior change.

3. Mobile health (mHealth) interventions: Utilize mobile technology to provide maternal health information and support to indigenous pastoralist women. This could include sending text messages with reminders for antenatal care appointments, providing information on safe practices during pregnancy and childbirth, and connecting women to healthcare providers through telemedicine.

4. Improving access to healthcare facilities: Address the barriers that prevent indigenous pastoralist women from accessing healthcare facilities for childbirth. This could involve improving transportation infrastructure, providing financial support for transportation costs, and ensuring that healthcare facilities are culturally sensitive and welcoming to the community.

5. Empowering women and community engagement: Promote women’s empowerment and community engagement in decision-making processes related to maternal health. This could involve training women as community health workers or birth companions, involving them in the planning and implementation of healthcare programs, and creating platforms for women to share their experiences and concerns.

These innovations aim to address the sociocultural practices and beliefs identified in the study, with the goal of improving access to maternal health services and ultimately reducing maternal and newborn morbidity and mortality in the indigenous pastoralist community of Manyara, Tanzania.
AI Innovations Description
Based on the study’s findings, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Community-based education and awareness programs: Develop and implement educational programs that target indigenous pastoralist women and their communities to raise awareness about the importance of safe maternal health practices. These programs should focus on debunking harmful sociocultural beliefs and practices, providing accurate information about pregnancy, childbirth, and postpartum care, and promoting the utilization of medical services.

2. Culturally sensitive healthcare services: Train healthcare providers to be culturally sensitive and respectful of indigenous pastoralist women’s traditions, customs, and beliefs. This will help build trust and improve the quality of care provided. Healthcare providers should routinely inquire about traditional practices during the peripartum period and provide guidance on safe alternatives.

3. Mobile health (mHealth) interventions: Utilize mobile technology to deliver maternal health information and services to hard-to-reach indigenous communities. This can include text messaging services that provide educational content, appointment reminders, and emergency helplines. Mobile apps can also be developed to provide access to maternal health resources and facilitate communication between healthcare providers and women in remote areas.

4. Community health workers: Train and deploy community health workers from within the indigenous pastoralist communities to serve as intermediaries between the healthcare system and the community. These community health workers can provide culturally appropriate education, support, and referrals to maternal health services.

5. Strengthening healthcare infrastructure: Improve the accessibility and quality of healthcare facilities in the Manyara region. This can include building or upgrading health centers and hospitals, ensuring the availability of skilled healthcare providers, and providing necessary medical equipment and supplies.

By implementing these recommendations, access to maternal health can be improved in indigenous pastoralist communities, leading to better health outcomes for both mothers and newborns.
AI Innovations Methodology
Based on the provided study, here are some potential recommendations for innovations to improve access to maternal health among indigenous pastoralist women in Manyara, Tanzania:

1. Community-based education and awareness programs: Develop and implement culturally sensitive educational programs that target indigenous pastoralist communities. These programs should focus on raising awareness about safe maternal health practices, debunking harmful sociocultural beliefs, and promoting the utilization of medical services.

2. Mobile health (mHealth) interventions: Utilize mobile technology to deliver maternal health information and services directly to indigenous pastoralist women. This can include SMS reminders for antenatal care visits, access to teleconsultations with healthcare providers, and educational content delivered through mobile applications.

3. Community health workers: Train and deploy community health workers from within the indigenous pastoralist communities. These individuals can serve as trusted sources of information and support for pregnant women, providing guidance on safe practices, assisting with referrals to healthcare facilities, and conducting home visits to monitor maternal and newborn health.

4. Culturally sensitive healthcare facilities: Improve the accessibility and acceptability of healthcare facilities by incorporating cultural practices and beliefs into the design and delivery of services. This can include providing traditional birthing options, accommodating family members during childbirth, and integrating traditional healers into the healthcare system.

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 information on the current utilization of maternal health services, sociocultural practices, and beliefs among indigenous pastoralist women in Manyara, Tanzania. This can be done through surveys, interviews, and focus group discussions.

2. Development of a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on improving access to maternal health. This model should consider factors such as population size, geographical distribution, cultural norms, and healthcare infrastructure.

3. Data input and parameter estimation: Input the collected data into the simulation model and estimate the parameters that represent the potential effects of the recommendations. This may involve using existing data, expert opinions, and literature reviews to inform the model’s assumptions.

4. Simulation runs: Run the simulation model multiple times, varying the input parameters to account for uncertainty and different scenarios. This will allow for the exploration of different outcomes and the identification of key factors that influence the impact of the recommendations.

5. Analysis and interpretation: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. This can include evaluating changes in healthcare utilization rates, reduction in harmful practices, and improvements in maternal and newborn health outcomes.

6. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the simulation results and identify the most influential factors. This can help prioritize interventions and guide decision-making.

7. Communication of findings: Present the simulation findings in a clear and concise manner, highlighting the potential benefits of the recommendations and their implications for policy and practice. This can involve the use of visualizations, reports, and presentations to engage stakeholders and facilitate informed decision-making.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data. The steps outlined above provide a general framework for conducting such simulations.

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