Barriers and facilitators to health care seeking behaviours in pregnancy in rural communities of southern Mozambique

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Study Justification:
– Maternal mortality remains high in Mozambique, particularly in poor and vulnerable communities in rural areas with limited access to healthcare services.
– This study aimed to understand the barriers and facilitators to healthcare seeking behaviors during pregnancy in rural communities of southern Mozambique.
– The findings of this study can inform interventions and policies to improve access to timely and appropriate care for pregnant women in these communities.
Highlights:
– Antenatal care was sought at health facilities for various reasons, including opening the antenatal record, resolving discomforts, and seeking care for specific symptoms.
– Partners and husbands often discouraged women from revealing their pregnancy early in gestation, which could delay the decision-making process for seeking care.
– Traditional healers provided services during pregnancy and after delivery, despite being discouraged during the antenatal period.
– Limited access to transport and financial constraints further complicated the decision-making process for seeking care at health facilities.
Recommendations for Lay Reader and Policy Maker:
– Implement community saving schemes for transport and medication to improve birth preparedness and emergency readiness for women of reproductive age.
– Involve key family members in pregnancy follow-up to ensure comprehensive care and support.
– Encourage prompt referrals to health facilities by community-based health care providers when appropriate.
– Increase awareness and education about warning signs of obstetric emergencies, especially among partners and husbands.
– Address cultural norms and beliefs that discourage early disclosure of pregnancy.
– Improve access to transport and financial resources to facilitate timely care-seeking for pregnant women.
Key Role Players:
– Health facility providers
– Matrons
– Traditional birth attendants
– Community health workers
– Neighbors
– Partners and husbands
– Mothers and mothers-in-law
– Household-level decision-makers
Cost Items for Planning Recommendations:
– Community saving schemes for transport and medication
– Education and awareness campaigns
– Training and capacity building for community-based health care providers
– Transportation infrastructure improvements
– Financial support for pregnant women in need
– Monitoring and evaluation of interventions

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is based on a mixed methods approach, including in-depth interviews and focus group discussions with various stakeholders. The study site was purposely selected to reflect the diversity of socioeconomic and demographic characteristics in southern Mozambique. The findings highlight important barriers and facilitators to health care seeking behaviors during pregnancy in rural communities. To improve the evidence, the abstract could provide more specific details about the sample size, recruitment process, and data analysis methods used in the study.

Background: In countries, such as Mozambique, where maternal mortality remains high, the greatest contribution of mortality comes from the poor and vulnerable communities, who frequently reside in remote and rural areas with limited access to health care services. This study aimed to understand women’s health care seeking practices during pregnancy, taking into account the underlying social, cultural and structural barriers to accessing timely appropriate care in Maputo and Gaza Provinces, southern Mozambique. Methods: This ethnographic study collected data through in-depth interviews and focus group discussions with women of reproductive age, including pregnant women, as well as household-level decision makers (partners, mothers and mothers-in-law), traditional healers, matrons, and primary health care providers. Data was analysed thematically using NVivo 10. Results: Antenatal care was sought at the heath facility for the purpose of opening the antenatal record. Women without antenatal cards feared mistreatment during labour. Antenatal care was also sought to resolve discomforts, such as headaches, flu-like symptoms, body pain and backache. However, partners and husbands considered lower abdominal pain as the only symptom requiring care and discouraged women from revealing their pregnancy early in gestation. Health care providers for pregnant women often included those at the health facility, matrons, elders, traditional birth attendants, and community health workers. Although seeking care from traditional healers was discouraged during the antenatal period, they did provide services during pregnancy and after delivery. Besides household-level decision-makers, matrons, community health workers, and neighbours were key actors in the referral of pregnant women. The decision-making process may be delayed and particularly complex if an emergency occurs in their absence. Limited access to transport and money makes the decision-making process to seek care at the health facility even more complex. Conclusions: Women do seek antenatal care at health facilities, despite the presence of other health care providers in the community. There are important factors that prevent timely care-seeking for obstetric emergencies and delivery. Unfamiliarity with warning signs, especially among partners, discouragement from revealing pregnancy early in gestation, complex and untimely decision-making processes, fear of mistreatment by health-care providers, lack of transport and financial constraints were the most commonly cited barriers. Women of reproductive age would benefit from community saving schemes for transport and medication, which in turn would improve their birth preparedness and emergency readiness; in addition, pregnancy follow-up should include key family members, and community-based health care providers should encourage prompt referrals to health facilities, when appropriate.

This article is part of a larger formative research study conducted in Mozambique, India, Nigeria and Pakistan, in preparation to a cluster randomized controlled trial of a Community Level Intervention for Pre-eclampsia and Eclampsia (the CLIP trial) ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT01911494″,”term_id”:”NCT01911494″}}NCT01911494) [16]. While the formative research was based on a mixed methods approach, the present article focuses on the qualitative component conducted within an ethnographic framework [17, 18]. A detailed description of these methods is presented elsewhere [19]. The study site consisted of five Administrative Posts (APs) within three districts in southern Mozambique: Xai-Xai and Bilene-Macia districts (in Gaza Province), and Manhiça district (in Maputo Province) (Fig. 1). These APs were purposely selected to reflect the diversity of socioeconomic and demographic characteristics in southern Mozambique, such as level of urbanization, population density, distance to a trading centre, presence of referral health facilities, and physical access to them. Each of the districts and respective APs included in this study is briefly described below. Map of the study area Xai-Xai, the capital town of Gaza Province, is located on the eastern coast, covering an area of 1,908 Km2, with a population estimated at 127,351 inhabitants [20]. The AP selected within Xai-Xai was Chongoene, which is a coastal region located 18 Km north-east of Xai-Xai. It has a population of 101,752 served by 8 primary health centres (PHC), with a total of 9 maternal-and-child health (MCH) nurses. In addition, there is access to the referral Provincial Hospital of Xai-Xai, a tertiary level facility. At the time the study was conducted, the area was also covered by 5 community health workers (CHW), locally named Agentes Polivalentes Elementares (APEs). Chongoene is the newly appointed head office of the district, and as result commerce, tourism, agriculture, and administrative services are thriving. Bilene-Macia is located in southern Gaza Province, with an area of 2.180 Km2 and a population of 151,548 [20]. Within this district, the AP of Messano was selected for this study. It has a population of 21,471 inhabitants, and is served by two PHC with two MCH nurses and four CHWs. The referral facility is Bilene-Macia Health Centre, a secondary level facility. The community infrastructure within Messano is weak, marked by poor access to the main road. The population is primarily employed in small-scale farming. Manhiça district is located in northern Maputo Province, 80 Km from Mozambique’s capital city. The district has an area of 2,689 Km2, a population of 245,829, and a mixture of urban and peri-urban communities [20]. The entire district population participates in the Health and Demographic Surveillance System (HDSS), in place since 1996 [21]. Due to the socioeconomic diversity found in this district, three APs, namely Três de Fevereiro, Ilha Josina Machel, and Calanga were selected for this study. Três de Fevereiro, located 31 Km north of Manhiça village, has 40,208 inhabitants. Four PHC with seven MCH nurses and three midwives serve the area, which had no CHWs at the time the study was conducted. Most residents are employed by the sugar and rice industry and engaged in informal trade and migrant labour in South Africa. This AP is intersected by the country’s 1st National Road. It has reasonable communication networks, roads, and public services. Ilha Josina is an island 50 Km north of Manhiça Village. It has a population of 9,346 inhabitants, mostly engaged in agriculture, served by one PHC with two MCH nurse and two CHWs. Calanga is a coastal AP, located 25 Km east of Manhiça Village, with a population of 9,524 inhabitants (mostly fishermen and small-scale farmers) served by one PHC with one MCH nurse and five CHWs. Both Ilha Josina Machel and Calanga are characterized by poor road infrastructure and transportation networks, severely affected by harsh weather conditions during the rainy season. Manhiça District Hospital is a referral facility for these three APs, although some patients from Ilha Josina Machel can also be sent to Xinavane Rural Hospital. Both hospitals are secondary level facilities. The study participants comprised of community members and health care providers. Community members consisted in women of reproductive age between 18 and 49 years (including pregnant women), male and female decision-makers (elders, husbands, partners, mothers, and mothers-in-law of women of reproductive age). Health care providers included formally-recognized cadres within the national health services (nurses, midwives, medical technicians) and traditional health care providers (TBAs, matrons and traditional healers). Although traditional health care providers in Mozambique often have interchangeable roles [22], it is worth mentioning some important differences among them. Traditional healers are mostly sought for the diagnosis, treatment and protection from illness, misfortune and other social concerns [23]; TBAs provide assistance to women during pregnancy, birth and the postpartum period; matrons are responsible for performing a variety of rituals including those for new-borns and adolescents [22, 24]. Data collection consisted of focus group discussions (FGD) and individual in-depth interviews (IDI) conducted with community members and health care providers (Tables 1 and ​and2).2). Focus groups and individual interviews were chosen to gain an understanding of the social norms and local contexts underlying care seeking practices, rather than the individual experiences and meanings assigned to them. Interviews were conducted when it was not practical to convene the required number of participants within a specific target group. Focus group discussions conducted In-depth interviews conducted The number of focus groups and individual interviews was pre-determined based on previous experiences of reaching data saturation regarding similar topics in different contexts [25, 26]. Both across and within-group saturation was assessed. For interviews with health care providers, the snowball sampling approach was used for recruitment, drawing initially on existing networks of local investigators and health professionals at the sites. Community members were identified through community leaders, who were provided with the required socio-demographic characteristics for inclusion. Focus groups were usually conducted out-doors at the community’s “circle” (location of community leaders’ office); individual interviews were conducted at the participants house. Interviews and focus groups were conducted by trained facilitators belonging to the social science research unit of the Manhiça Health Research Centre (CISM). Gender balance within the team members was ensured to cater for possible gender-sensitive issues, especially in one-on-one interviews. All interviews and focus groups, of which some were conducted in Portuguese and others in Changana (local dialect) according to participants’ preference, were audio recorded, and transcribed verbatim in Portuguese, preferably by the same team members who collected the data. Data quality checks were done by the social science team leader by reviewing the transcripts while listening to the audio recording. Data was analysed using NVivo version 10.0 (QSR International Pty. Ltd. 2012). Thematic data analysis was performed through the following steps: generating categories, coding text according to each category; annotating emerging themes and patterns and readjusting the categories and relationships between them; testing emergent themes through systematic searches of coded text; investigating alternative explanations through systematic searches of uncoded text. The social science team leader and the study’s senior social scientist conducted the coding of all Portuguese transcripts at CISM. Assistance was given from the CLIP social science co-ordinator from the University of British Columbia (UBC), who spent a significant amount of time onsite to support training, oversee data collection and perform the analysis quality control through repeat coding of one third of transcripts, which were translated into English, and evaluating coding agreement. All data collection was conducted after obtaining signed informed consent from each participant, as well as permission to record individual interviews and group discussions. Ethical approval for this study was obtained from the CISM Institutional Review Board (CIBS – CISM) and the UBC Review Board.

The article titled “Barriers and facilitators to health care seeking behaviours in pregnancy in rural communities of southern Mozambique” provides insights into the challenges faced by pregnant women in accessing timely and appropriate care in Maputo and Gaza Provinces, southern Mozambique. The study used a mixed methods approach, including in-depth interviews and focus group discussions, to gather data from women of reproductive age, household-level decision makers, traditional healers, matrons, and primary health care providers.

The study found that while antenatal care was sought at health facilities for the purpose of opening the antenatal record, women without antenatal cards feared mistreatment during labor. Antenatal care was also sought to resolve discomforts, such as headaches, flu-like symptoms, body pain, and backache. However, partners and husbands considered lower abdominal pain as the only symptom requiring care and discouraged women from revealing their pregnancy early in gestation.

The study identified several barriers to timely care-seeking for obstetric emergencies and delivery, including unfamiliarity with warning signs, complex and untimely decision-making processes, fear of mistreatment by health care providers, and limited access to transport and financial constraints.

Based on these findings, the study recommends implementing community saving schemes for transport and medication to address the financial constraints and limited access to transport that prevent timely care-seeking. It also suggests involving key family members in pregnancy follow-up to improve birth preparedness and emergency readiness. Additionally, the study recommends promoting prompt referrals to health facilities by training community-based health care providers to identify warning signs and make timely referrals.

By implementing these recommendations, it is possible to develop an innovation that addresses the barriers and facilitators to health care seeking behaviors in pregnancy in rural communities of southern Mozambique. This innovation can improve access to maternal health services and contribute to reducing maternal mortality in the region.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

Implement community saving schemes for transport and medication: Establishing community saving schemes specifically for transport and medication can help address the financial constraints and limited access to transport that prevent timely care-seeking for obstetric emergencies and delivery. These saving schemes can be designed to provide financial support to pregnant women in rural communities, enabling them to afford transportation to health facilities and necessary medications during pregnancy and childbirth.

Involve key family members in pregnancy follow-up: In order to improve birth preparedness and emergency readiness, it is important to include key family members, such as partners, mothers, and mothers-in-law, in the pregnancy follow-up process. This can be done through educational programs and community outreach initiatives that aim to increase awareness and understanding of the importance of timely and appropriate care during pregnancy and childbirth. By involving key family members, pregnant women can receive the necessary support and encouragement to seek care when needed.

Promote prompt referrals to health facilities: Community-based health care providers, such as community health workers and traditional birth attendants, should be encouraged to promptly refer pregnant women to health facilities when appropriate. This can be achieved through training programs that equip these providers with the knowledge and skills to identify warning signs and make timely referrals. Additionally, establishing effective communication channels between community-based providers and health facilities can facilitate the referral process and ensure that pregnant women receive the necessary care in a timely manner.

By implementing these recommendations, it is possible to develop an innovation that addresses the barriers and facilitators to health care seeking behaviors in pregnancy in rural communities of southern Mozambique. This innovation can improve access to maternal health services and contribute to reducing maternal mortality in the region.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the study population: Identify the target population for the simulation, such as pregnant women in rural communities of southern Mozambique.

2. Collect baseline data: Gather information on the current access to maternal health services in the study population. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a mathematical model that represents the healthcare system and the factors influencing access to maternal health services. This model should incorporate variables such as distance to health facilities, availability of transportation, financial constraints, and involvement of key family members.

4. Input data: Use the baseline data collected in step 2 to populate the simulation model with relevant information, such as the number of pregnant women, their geographic distribution, and the barriers they face in accessing care.

5. Implement the recommendations: Introduce the proposed recommendations into the simulation model. This could involve adjusting variables related to community saving schemes, involvement of key family members, and prompt referrals to health facilities.

6. Run simulations: Use the simulation model to simulate different scenarios based on the implementation of the recommendations. This could include varying the coverage and effectiveness of the recommendations to assess their impact on access to maternal health services.

7. Analyze results: Evaluate the outcomes of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This could involve comparing key indicators, such as the number of pregnant women accessing care, the timeliness of care-seeking, and the reduction in maternal mortality.

8. Refine and validate the model: Continuously refine the simulation model based on feedback and additional data. Validate the model by comparing the simulated outcomes with real-world data, if available.

9. Communicate findings: Present the findings of the simulation study in a clear and concise manner, highlighting the potential benefits of implementing the recommendations to improve access to maternal health services.

By following this methodology, researchers and policymakers can gain insights into the potential impact of the recommendations on improving access to maternal health in rural communities of southern Mozambique. This information can inform decision-making and guide the implementation of effective interventions to reduce maternal mortality and improve maternal health outcomes.

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