Understanding the factors affecting the humanitarian health and nutrition response for women and children in Somalia since 2000: A case study

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Study Justification:
– The study aimed to understand the humanitarian health response for women and children in Somalia since 2000.
– Somalia has experienced armed conflict for over two decades, resulting in significant damage to infrastructure and suffering among its people.
– The influx of humanitarian actors providing basic services, including health services, during the conflict necessitated a better understanding of the response.
Study Highlights:
– Quantitative data on intervention coverage in Somalia are limited, making it difficult to discern patterns or trends over time or by region.
– Sociocultural and contextual factors, such as clan dynamics and female disempowerment, strongly influence the humanitarian health response.
– Operational influences include population needs assessment, donor priorities, and insufficient and inflexible funding.
– Barriers to service delivery include commodity and human resource shortages, poor infrastructure, limited access to vulnerable populations, and ongoing insecurity.
– In-country coordination of humanitarian health actors has improved over time, with government ministries playing more active roles.
Study Recommendations:
– Further exploration of government partnerships with private-sector service providers to make services available throughout Somalia free of charge.
– Research on innovative uses of technology to reach remote and inaccessible areas.
– More operational research on the expanded use of community health workers to address skilled health worker shortages.
– Addressing persistent gaps in service provision, including for adolescents.
– Long-term development focus to provide health and nutrition services beyond emergency response.
Key Role Players:
– Government ministries (federal and state-level) responsible for health and coordination.
– UN agencies involved in humanitarian health response.
– NGOs providing health services.
– Health facility staff.
– Private-sector service providers.
Cost Items for Planning Recommendations:
– Funding for government partnerships with private-sector service providers.
– Investment in technology infrastructure for reaching remote areas.
– Resources for training and deployment of community health workers.
– Budget allocation for addressing persistent gaps in service provision.
– Long-term development funding for sustainable health and nutrition services.
Please note that the provided information is a summary of the study and its findings. For more detailed information, please refer to the publication “Conflict and Health, Volume 14, No. 1, Year 2020”.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study utilized a mixed-methods design, including quantitative data from large-scale household surveys and qualitative data from interviews. However, the available quantitative data on intervention coverage in Somalia are extremely limited, making it difficult to discern patterns or trends over time or by region. To improve the strength of the evidence, the study could consider conducting more comprehensive quantitative surveys to gather more data on intervention coverage. Additionally, the study could expand the sample size for the qualitative interviews to ensure a broader representation of perspectives and experiences.

Background: Somalia has been ravaged by more than two decades of armed conflict causing immense damage to the country’s infrastructure and mass displacement and suffering among its people. An influx of humanitarian actors has sought to provide basic services, including health services for women and children, throughout the conflict. This study aimed to better understand the humanitarian health response for women and children in Somalia since 2000. Methods: The study utilized a mixed-methods design. We collated intervention coverage data from publically available large-scale household surveys and we conducted 32 interviews with representatives from government, UN agencies, NGOs, and health facility staff. Qualitative data were analyzed using latent content analysis. Results: The available quantitative data on intervention coverage in Somalia are extremely limited, making it difficult to discern patterns or trends over time or by region. Underlying sociocultural and other contextual factors most strongly affecting the humanitarian health response for women and children included clan dynamics and female disempowerment. The most salient operational influences included the assessment of population needs, donors’ priorities, and insufficient and inflexible funding. Key barriers to service delivery included chronic commodity and human resource shortages, poor infrastructure, and limited access to highly vulnerable populations, all against the backdrop of ongoing insecurity. Various strategies to mitigate these barriers were discussed. In-country coordination of humanitarian health actors and their activities has improved over time, with federal and state-level ministries of health playing increasingly active roles. Conclusions: Emerging recommendations include further exploration of government partnerships with private-sector service providers to make services available throughout Somalia free of charge, with further research on innovative uses of technology to help reaches remote and inaccessible areas. To mitigate chronic skilled health worker shortages, more operational research is needed on the expanded use of community health workers. Persistent gaps in service provision across the continuum must be addressed, including for adolescents, for example. The is also a clear need for longer term development focus to enable the provision of health and nutrition services for women and children beyond those included in recurrent emergency response.

The study presented here is part of a multi-country study coordinated by the BRANCH Consortium [10] and focused on the delivery of reproductive, maternal, newborn, child and adolescent health (RMNCAH) and nutrition interventions in ten conflict-affected countries: Afghanistan, Colombia, Democratic Republic of the Congo, Mali, Nigeria, Pakistan, Somalia, South Sudan, Syria, Yemen [10]. This study employed a mixed-methods design, including both secondary analyses of existing quantitative data and primary qualitative data collection and analysis. The quantitative component aimed to examine trends in the coverage of RMNCAH & nutrition interventions in Somalia since 2000, as well as conflict-related displacement and conflict-attributable mortality. The qualitative component aimed to better understand the coordination and decision-making processes of humanitarian actors delivering health services during this period, particularly in Bay region and in the capital Mogadishu in Benadir region, in the Central-South Zone of Somalia. Estimates of intervention coverage of RMNCAH and nutrition interventions in Somalia over time were extracted from reports of large-scale household surveys conducted since 2000 and available in the public domain: the 2006 and 2011 Multiple Indicators Cluster Surveys (MICS), the 2009 National Micronutrient and Anthropometric Nutrition Survey (NMANS), the 2016 Service Availability and Readiness Assessment Survey (SARA), and the 2017–2018 Somali High Frequency Survey (SHFS). Where relevant estimates were not published but the dataset was available, we generated estimates from the data, accounting for survey design. Estimates of deaths directly attributable to conflict in Somalia over time were derived from publicly available data from the Uppsala Conflict Data Program [2, 3]. Regional estimates of the cumulative number of internally displaced people were extracted from the Somalia 2019 Humanitarian Response Plan [1]. Primary qualitative data collection was conducted between August and October 2018 in Mogadishu and Baidoa in Somalia and in Nairobi, Kenya. Interview guides were informed by shared templates created by the BRANCH consortium. Through a collaborative process, the research team adapted these guides to reflect the local context [10]. A team of five local data collectors (four men and one woman) was utilised to conduct in-depth interviews. All the data collectors held advanced degrees in public health or the social sciences and had previous experience collecting qualitative data. They also had an in-depth understanding of public health issues in Somalia. They were bilingual in Somali and English which allowed them to conduct interviews in either language, depending on the respondents’ preferences. Interviews were conducted with local NGO staff, international NGO staff, MOH staff, and private health facility staff. Respondents included a range of individuals such as country directors, program managers, health officers, and project coordinators, and were purposively sampled through three strategies. Target organizations for key informant interviews were identified by the study team’s review of “Who does What Where (3W)” matrices produced by the UN Office for the Coordination of Humanitarian Affairs (OCHA), and specific respondents were identified through discussion with organizational representatives about which individuals would best be able to speak to our research objectives. Nominations were also solicited from organizational and government representatives attending a project inception meeting convened by the study team in Nairobi in 2017. Snowball sampling was also used, whereby participating respondents suggested other potential key informants to the study team. Initial contact was made via phone or email depending on the contact information available for the respondent. A total of 27 interviews were conducted face-to-face in the respondent’s offices while 6 interviews were conducted via Skype as the respondents were in geographies the study team could not access. For interviews conducted via Skype, informed consent was provided by participants verbally at the start of the interview, while those participating in in-person interviews provided informed consent through a signed consent form. No invited participants refused to give consent and all agreed to have the interviews recorded. Interviews lasted approximately 60–90 min (Table 1). Respondent information We tabulated quantitative estimates of achieved coverage of key health and nutrition interventions for women and children, stratified by zone (the lowest level of aggregation for which representative estimates could be derived from national survey sampling approaches): Northwest Zone/Somaliland; Northeast Zone/Puntland; and Central-South Zone. Time trends in the frequency of battle-related deaths and lethal violence events were generated nationally. Key informant interview transcripts were imported into NVivo 12 software. Latent content analysis, an inductive analysis approach, was used to analyze the data. First, ZA and AA read the interview transcripts, and then coded passages according to the speaker’s meaning. ZA then merged the codes into categories while ensuring that they had both internal homogeneity and external heterogeneity [11]. These categories were later merged into themes shared in this manuscript. Coding and analysis was undertaken in an iterative manner, so that new ideas that emerged could be probed in additional interviews. Peer debriefing with the analysis team also assisted in identifying areas to further investigate during interviews. Member checking was conducted through several consultations with stakeholders for their input and feedback.

Title: Factors Affecting Humanitarian Health and Nutrition Response for Women and Children in Somalia

Description: This study examines the humanitarian health and nutrition response for women and children in Somalia since 2000. The research utilizes a mixed-methods approach, including secondary analysis of existing quantitative data and primary qualitative data collection. The study highlights various factors that impact the delivery of health services, such as sociocultural dynamics, operational influences, and barriers to service delivery. The findings emphasize the need for innovative solutions to improve access to maternal health services in Somalia. The study is part of a larger multi-country study coordinated by the BRANCH Consortium.

Publication: Conflict and Health, Volume 14, No. 1, Year 2020
AI Innovations Description
Based on the information provided in the study, the following recommendation can be developed into an innovation to improve access to maternal health:

Further exploration of government partnerships with private-sector service providers: This recommendation suggests partnering with private-sector service providers to make maternal health services available throughout Somalia free of charge. This can help increase access to quality healthcare for pregnant women and improve maternal health outcomes. The government can collaborate with private healthcare providers to ensure that essential maternal health services are accessible to all women, especially in remote and inaccessible areas.

Innovative use of technology to reach remote and inaccessible areas: Another recommendation is to research and implement innovative uses of technology to improve access to maternal health services in remote and inaccessible areas. This can include telemedicine, mobile health applications, and remote monitoring systems. By leveraging technology, healthcare providers can reach pregnant women in remote areas and provide them with essential prenatal care, monitoring, and support.

Operational research on the expanded use of community health workers: To mitigate chronic skilled health worker shortages, further operational research is needed on the expanded use of community health workers. Community health workers can be trained to provide basic maternal health services, including prenatal care, education, and support. This can help bridge the gap in skilled healthcare providers and ensure that pregnant women receive the necessary care, even in areas with limited resources.

Long-term development focus: There is a clear need for a longer-term development focus to enable the provision of health and nutrition services for women and children beyond emergency response efforts. This recommendation emphasizes the importance of sustained investment in maternal health infrastructure, capacity building, and healthcare systems. By prioritizing long-term development, access to maternal health services can be improved and sustained over time.

Overall, these recommendations aim to address the barriers to accessing maternal health services in Somalia, including limited infrastructure, human resource shortages, and limited access to vulnerable populations. By implementing these innovations, it is hoped that access to maternal health will be improved, leading to better maternal health outcomes for women in Somalia.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health, the following methodology can be employed:

1. Define the indicators: Identify key indicators that reflect access to maternal health services, such as the number of pregnant women receiving prenatal care, the number of skilled birth attendants available, and the number of maternal deaths.

2. Baseline data collection: Gather existing data on the selected indicators for the current situation in Somalia. This can include data from government reports, surveys, and other relevant sources.

3. Establish a control group: Select a control group that represents the current situation without the implementation of the recommendations. This group will serve as a basis for comparison to measure the impact of the recommendations.

4. Introduce the recommendations: Implement the recommendations in the intervention group. This can involve partnering with private-sector service providers, utilizing technology for remote areas, expanding the use of community health workers, and focusing on long-term development.

5. Data collection in intervention and control groups: Collect data on the selected indicators in both the intervention and control groups. This can be done through surveys, interviews, and other data collection methods.

6. Data analysis: Analyze the collected data to compare the indicators between the intervention and control groups. This analysis will help determine the impact of the recommendations on improving access to maternal health services.

7. Interpretation of results: Interpret the results of the analysis to understand the effectiveness of the recommendations. Assess whether the recommendations have led to improvements in access to maternal health services and identify any challenges or limitations encountered during the implementation.

8. Recommendations for implementation: Based on the findings, provide recommendations for the implementation of the identified innovations. This can include scaling up successful interventions, addressing challenges, and refining strategies to further improve access to maternal health services.

It is important to note that this methodology is a general framework and can be adapted based on the specific context and resources available for the simulation.

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