From Insecurity to Health Service Delivery: Pathways and System Response Strategies in the Eastern Democratic Republic of the Congo

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Study Justification:
The study focuses on the provinces of North and South Kivu in the eastern Democratic Republic of the Congo (DRC), which have experienced insecurity since the 1990s. The aim of the study is to understand the impact of chronic insecurity on health service delivery in the region. By identifying the mediating factors and strategies adopted by health actors to maintain service provision, the study provides insights into the resilience of the health system in the face of ongoing insecurity.
Highlights:
1. Three main drivers linking insecurity and health service quality and delivery: violence, mobility restrictions, and resources availability.
2. Mediating factors: health care workforce availability and drug/equipment accessibility.
3. Strategies adopted to sustain service provision: addressing the lack of human resources, ensuring access through contingency plans and mobile clinics, and securing drugs and equipment.
4. Health actors in eastern DRC have shown capacity to adapt, adjust, and transform due to insecurity.
5. Further research is needed to measure the effectiveness of these strategies and provide guidance to vulnerable health systems.
Recommendations:
1. Strengthen the health care workforce by addressing issues of willingness, capacity, and motivation to work in insecure areas.
2. Develop contingency plans and mobile clinics to ensure access to health services in areas with mobility restrictions.
3. Improve procurement and supply chain management to mitigate delays in drug and equipment availability.
4. Enhance security measures to protect health facilities from looting and damages.
5. Conduct further research to evaluate the effectiveness of response strategies and inform policy decisions.
Key Role Players:
1. Local government representatives
2. United Nations agencies
3. International non-governmental organizations
4. Ministry of Health officials
5. Faith-based organizations
6. Health care workers (midwives, nurses, community health workers)
Cost Items for Planning Recommendations:
1. Training and capacity building for health care workforce
2. Development and implementation of contingency plans and mobile clinics
3. Procurement and supply chain management improvements
4. Security measures for health facilities
5. Research funding for evaluating response strategies and informing policy decisions

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on qualitative interviews and case study data, which provide valuable insights into the pathways and strategies related to health service delivery in the Eastern Democratic Republic of the Congo. However, the evidence could be strengthened by including quantitative data and a larger sample size. Additionally, the abstract does not provide information on the methodology used for data collection and analysis, which could be improved by providing more details on the research design and data analysis techniques.

The provinces of North and South Kivu in eastern Democratic Republic of the Congo (DRC) have experienced insecurity since the 1990s. Without any solution to the conflict in sight, health actors have adapted their interventions to maintain some level of health service provision. We reflect on the health system resilience in the Kivu provinces in response to chronic levels of insecurity. Using qualitative interviews of health care providers from local government, United Nations agencies, and international nongovernmental organizations, we identify the mediating factors through which insecurity affects both service quality and delivery and investigate the strategies adopted to sustain service provision. Three main drivers linking insecurity and health service quality and delivery emerged: via violence, mobility restrictions, and resources availability. The effect of these drivers is mediated by several system or individual-level factors. Two factors were reported in each pathway: health care workforce availability and drug/equipment accessibility. Human resources were affected differently by each driver: in terms of willingness to be stationed in a certain area (violence), capacity to access the health facility (mobility), and sustainability and motivation of conducting duties (resources). Similarly, the presence of drugs/equipment varied in case of looting or damages (violence), delays in delivery (mobility), or delays in procurement (resources). While these mediators are not surprising, their identification allows the design of appropriate response strategies. The majority of the reported solutions attempt to address the lack of human resources and reflect absorptive capacity. Adaptive capacity characterizes the attempts to address lack of access (contingency plan, mobile clinics, maternity waiting homes, and security drugs). Finally, interventions to address insecurity can be classified as transformative. Health actors in eastern DRC have shown some capacity to adapt, adjust, and transform due to insecurity. Further research is needed to measure the effectiveness of such strategies to provide guidance to increasingly vulnerable health systems.

This analysis is embedded within a broader research project conducted by the BRANCH (Bridging Research and Action in Conflict settings for the Health of women and children) consortium in 10 conflict-affected countries to investigate factors that shape decision making and maternal and child health service delivery.17 In DRC, we conducted a mixed-methods case study, using both secondary quantitative and primary qualitative data. More details are provided in the article presenting the results of the case study.10 In this substudy, we use qualitative data to identify operational challenges and investigate strategies to maintain service delivery and quality. While service delivery is also influenced by decision making and policy making, we limited the scope of this article to operational aspects to allow for more detailed discussion. The case study was conducted in the North and South Kivu provinces in DRC in 2018. North Kivu has experienced higher intensity violence than South Kivu, both in terms of casualties and events. Few fatalities have occurred in South Kivu since 2012, despite numerous violent events throughout the years. Violence against civilians (33.2%) and battles with no change of territory (31.2%) were the most frequent forms of violent episodes in both provinces.18 Two health zones in each province were selected due to their history of conflict and insecurity (in terms of active armed clashes, population displacement, and accessibility) during the previous 5 years. The decision was taken in consultation between the research team and representatives of the provincial health offices. In North Kivu, the health zones of Mweso and Ruanguba were visited; in South Kivu, those of Minova and Walungu. Mweso experienced extensive violence, population displacement, and attacks on health facilities; Ruanguba was the center of the March 23 Movement (M23) offensive in 2012–2013; Minova and Walungu have experienced extensive conflict over land issues and customary power.19 We selected 2 health zones in each province due to their history of conflict and insecurity during the previous 5 years. Qualitative data were collected through individual or group interviews with representatives of private and public health care providers currently working in North and/or South Kivu. These included staff of the Ministry of Health, UN agencies, NGOs, faith-based organizations as well as health care workers (chief midwives, chief nurses, and community health workers). We visited 1 hospital, 1 health center, and 1 health post in each health zone to ensure health facilities of different sizes, services, and resources were included in the study. Two referral hospitals (1 per province) were visited as well. We conducted 51 in-depth interviews (IDI) and 4 focus group discussions (FGDs), with a total of 84 respondents (Table 1). Participation was voluntary. Oral informed consent was obtained from all participants, who needed to be aged 18 years or older and working in the position for more than 30 days. Participants in In-Depth Interviews and Focus Group Discussions in Analysis of Insecurity and Health Service Provision and Quality in North and South Kivu Provinces, Democratic Republic of the Congo Abbreviations: DPS, Division Provinciale de Santé (Provincial Health Division); MCZ, Médicin Chef de Zone (Chief Medical Officer of the health zone). We developed and piloted an interview guide for each respondent group to reflect their role and the mandate of their organizations. Questions aimed to inquire about availability and quality of provided maternal and child health services; factors affecting decision making and program implementation (including human resources, funding, information management, infrastructure, and coordination); challenges and opportunities; adaptations to programs to respond to population displacement and insecurity; and level and type of insecurity in the communities. All interview guides were developed in French; the interview guides for FGDs and facility health care workers were translated into Swahili by the research team members (native speakers). Translation into Swahili was tested during the pilot of the guides and fine-tuned until an agreed-upon formulation was found. A 4-day training of the interviewers was conducted in Bukavu to familiarize them with the project objectives and the data collection tools. The case study coordinator (CA) led the training together with the field research coordinator (MT). Interview guides were piloted in a health facility in Bukavu, which was not included in the sample. Data collection took place between August and September 2018. Interviews took place in French or Swahili according to the preference of the respondent. Recordings were transcribed in French. Data management and coding were done in NVivo.20 The codebook included both predefined codes addressing issues the study aimed to explore and additional ones that arose from the interviews. Two team members coded the transcripts after having tested and compared coding approaches to ensure harmonization. Thematic analysis methods were used, whereby data were compiled, disassembled, and then reassembled.21 Framework analysis was used to explore data. A matrix output (with cases as row and codes as column) was developed to systematically summarize data and facilitate constant comparison within and across cases and topics.22 The Johns Hopkins Bloomberg School of Public Health determined that this study was not human subjects research and therefore did not require institutional review board oversight (IRB 8652). In DRC, the study protocol was reviewed and approved by the Université Catholique de Bukavu’s Institution Review Board (UCB/CIES/NC/02/2018). Oral consent was obtained from all study participants before initiating data collection.

Based on the provided description, it is difficult to identify specific innovations for improving access to maternal health. However, some potential recommendations based on the information provided could include:

1. Mobile clinics: Implementing mobile clinics that can reach remote and insecure areas to provide essential maternal health services.

2. Maternity waiting homes: Establishing maternity waiting homes near health facilities to accommodate pregnant women who live far away, ensuring they have access to timely and safe delivery services.

3. Contingency plans: Developing contingency plans to address disruptions in health service delivery caused by insecurity, such as ensuring alternative routes for medical supplies and personnel in case of violence or mobility restrictions.

4. Strengthening human resources: Investing in training and capacity building for healthcare workers to ensure they are equipped to provide quality maternal health services in challenging and insecure environments.

5. Security measures for health facilities: Implementing security measures to protect health facilities and personnel from violence and looting, ensuring the continuity of maternal health services.

6. Improving drug and equipment accessibility: Developing strategies to ensure the availability and accessibility of essential drugs and equipment for maternal health services, even in insecure areas.

It is important to note that these recommendations are general and may need to be adapted to the specific context and challenges faced in the Eastern Democratic Republic of the Congo. Further research and assessment of the local situation would be necessary to develop more targeted and effective innovations for improving access to maternal health in this region.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health in the Eastern Democratic Republic of the Congo is to implement a range of response strategies that address the operational challenges faced due to insecurity. These strategies should focus on enhancing the availability of healthcare workforce and ensuring accessibility to drugs and equipment.

Some specific recommendations include:

1. Strengthening the healthcare workforce: Efforts should be made to attract and retain healthcare professionals in areas affected by insecurity. This can be achieved through incentives such as improved security measures, better working conditions, and training opportunities. Additionally, partnerships with international organizations and NGOs can be established to provide additional support and resources.

2. Enhancing drug and equipment accessibility: Measures should be taken to ensure a consistent supply of essential drugs and equipment to healthcare facilities in insecure areas. This can involve establishing contingency plans for procurement and delivery, mobile clinics to reach remote areas, and maternity waiting homes to provide a safe environment for pregnant women near healthcare facilities.

3. Improving security measures: Collaborative efforts between local government, United Nations agencies, and international NGOs should be undertaken to improve security in the region. This can involve working with local communities to promote peacebuilding initiatives, engaging with armed groups to ensure the safety of healthcare facilities and personnel, and advocating for increased security presence in insecure areas.

4. Conducting further research: Continued research is needed to evaluate the effectiveness of the implemented strategies and provide guidance for improving maternal health service delivery in conflict-affected areas. This research should focus on measuring the impact of response strategies on access to maternal health services and identifying additional areas for improvement.

By implementing these recommendations, it is hoped that access to maternal health services can be improved in the Eastern Democratic Republic of the Congo, despite the challenges posed by insecurity.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health in conflict-affected areas:

1. Strengthening Human Resources: Develop strategies to attract and retain healthcare workers in conflict-affected areas. This can include providing incentives such as higher salaries, improved working conditions, and security measures.

2. Enhancing Mobility: Implement mobile clinics or outreach programs to reach remote and inaccessible areas. This can help overcome mobility restrictions and ensure that pregnant women have access to essential maternal health services.

3. Establishing Maternity Waiting Homes: Set up safe and comfortable facilities near health centers or hospitals where pregnant women can stay during the final weeks of pregnancy. This can help ensure timely access to skilled birth attendants and emergency obstetric care.

4. Improving Security of Drugs and Equipment: Develop contingency plans and strengthen supply chain management to ensure the availability of essential drugs and equipment, even in insecure environments. This can involve establishing alternative procurement routes and storage facilities to mitigate the impact of looting or delays in delivery.

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

1. Define the indicators: Identify specific indicators that measure access to maternal health, such as the number of pregnant women receiving antenatal care, the percentage of births attended by skilled birth attendants, or the availability of essential drugs and equipment.

2. Collect baseline data: Gather data on the current status of these indicators in the conflict-affected areas. This can be done through surveys, interviews, or existing health facility records.

3. Develop a simulation model: Create a mathematical or computational model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population size, geographical distribution, and the effectiveness of each recommendation.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This can involve varying parameters, such as the number of healthcare workers recruited, the frequency of mobile clinic visits, or the availability of drugs and equipment.

5. Analyze results: Analyze the simulation results to determine the projected changes in the selected indicators. This can help identify which recommendations are most effective in improving access to maternal health and prioritize their implementation.

6. Validate and refine the model: Validate the simulation model by comparing the projected results with real-world data, if available. Refine the model based on feedback from experts and stakeholders to ensure its accuracy and reliability.

7. Communicate findings: Present the findings of the simulation study to policymakers, healthcare providers, and other relevant stakeholders. This can help inform decision-making and resource allocation to improve access to maternal health in conflict-affected areas.

It is important to note that the methodology described above is a general framework and can be adapted based on the specific context and available data in the Eastern Democratic Republic of the Congo.

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