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Basic Health Service Delivery to Vulnerable Populations in Post-Conflict Eastern Congo: Asset Mapping

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05 September 2023

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06 September 2023

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Abstract
Populations with healthcare needs often reside in post-conflict settings where basic services needed to maintain good health may be non-existent or hard to access. Therefore, there is a need for better identification and reallocation of resources as part of the post-conflict health rehabilitation effort. This study applies an asset-based approach to explore the more optimal design of health services and to identify the resource constraints for basic health service delivery to the most vulnerable communities in eastern Congo. We implemented the asset mapping in two phases. Firstly, we combined a qualitative survey with community walks to identify the assets already present in the communities. Secondly, we conducted group discussions to map out assets that are the core of Asset-Based Community Development (ABCD) practice. We finally documented all assets in a Community Asset Spreadsheet. Overall, 209 assets were identified as available and potentially valuable resources for the communities in eastern Congo. Among them, 60 were local associations, 24 were land and physical environment, 43 were local institutions, 46 were individuals, 32 to economy and exchange, and only 6 were related to culture, history, and stories. Drawing upon the findings from the qualitative survey, community walks, and group discussions, we conclude that an important number of resources were in place for basic health service delivery. By activating the existing and potential resources, the most vulnerable populations in eastern Congo might have the required resources for basic health service delivery. Our findings support the use of an asset-mapping research method as appropriate to identify existing and potential resources for basic health services in a post-conflict setting.
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Subject: Public Health and Healthcare  -   Health Policy and Services

1. Introduction

War and armed conflict have profound adverse effects on population health [1,2], including the disruption in the delivery of basic healthcare services (BHS). Additionally, they deteriorate social determinants of health and exacerbate health disparities [3,4]. Understanding the impact of war and armed conflict on health inequality is essential for developing effective health policies and practices [5]. Without a better understanding of these factors and what can be done about them [6], interventions cannot be effectively targeted and might lack relevance resulting in misdirected use of resources [7]. To eliminate barriers to basic healthcare services utilization and improve health outcomes, collaborative efforts with the community are crucial. Accordingly, the WHO emphasizes the importance of resources and assets to good health: ‘resilience, capabilities, and strengths of individuals and communities need to be built on and the hazards and risks to which they are subjected need to be addressed [8]. For instance, one important concept at the heart of community approaches is community assets. According to McLean, community assets are “…the collective resources which individuals and communities have at their disposal, those that protect against negative health outcomes and promote health and well-being and improve life chances” [9].
There is some evidence to suggest that disadvantaged communities that are more cohesive are also more likely to maintain health [10,11]. However, it should also be recognized how particularly challenging it can be to mobilize assets amongst the most vulnerable groups, whose personal assets and those of the communities they live in are typically the least [12]. Another important concept of community approaches is health assets (HA). Morgan and Ziglio defined HA as “any factor which enhances the ability of individuals, groups, communities, populations, social systems and/or institutions to maintain and sustain health and well-being and to help to reduce health inequities” [6]. They advocate using Kretzmann and McKnight’s method of rebuilding troubled communities as a practical approach to public health, as it goes far beyond intrapersonal assets to include practically anything that a community identifies as its own that can potentially benefit coexistence, development, and health [13].
Healthy community initiatives are better served by “asset-based” approaches (ABAs) than by "need-based" approaches (NBAs). While ABAs invite more creativity in assessment and planning [14], NBAs focus on a community's needs, deficiencies, and problems. They can have negative effects even when a positive change is intended because they force community leaders to highlight their communities' worst side to attract resources [13]. In both approaches, hard realities must be faced. Consequently, the incorporation of an assessment of community assets – in addition to health needs - has become a standard best practice promoted by the National Association of County and City Health Officials (NACCHO) and the Public Health Accreditation Board (PHAB) in the United States [15]. ABAs focus on people’s and communities’ capacities, resources, and networks, as well as their needs [16]. Hence, they are not only “people-centered” but also “citizen-driven” approaches. Furthermore, they are solution-oriented and draw on evidence-based practical frameworks. While recognizing the importance of NBAs and ABAs, this paper will mainly focus on the ABAs because they involve and transform community members from individual recipients to a collective of empowered citizens, and advocates for their community.
Post-conflict health rehabilitation (PCHR) is an effort to maximize positive outcomes with constrained resources. It implies a prioritization process for the allocation of resources. Because there is no universally correct approach to resource allocation, this should be based on local reality [17]. While the success of PCHR programs depends on factors that are outside of the immediate scope of a health sector rehabilitation program, its apparent success also depends on local commitment, local capacity, and local assets. Planning for the medium and long-term development of the health system is essential for successful health system rehabilitation. Therefore, a first step towards addressing this gap is to produce evidence of local community health assets, how they work, and whom they work for. This paper addresses this gap by using an ABA that views population health through a different lens. The approach is about promoting and strengthening the factors that support good health and well-being, protecting against poor health, and building and fostering communities and networks that sustain well-being [18].

Asset mapping

Asset mapping originated in the field of community development and is used to identify outcome measures that are asset-oriented [19,20]. It serves to identify resources at an individual, group, and institutional level [21] and to mobilize community members for local development purposes [13]. The process gives researchers, policymakers, or community workers a good understanding of what is or is not available in dealing with an issue of interest and sets up informed evidence-based planning. Asset mapping, therefore, represents a distinctive process, underpinned by a fundamentally different logic than that of needs assessment. However, in comparison with the rich literature on needs assessment, there is little empirical research to demonstrate how asset mapping leads to health improvement [22]. Hence, this paper uses an ABA to assess talents, skills, and experiences that might impact community health and the potential for partnering with others in promoting community health.
In post-conflict situations, assets are critical to the development of a sustainable and successful health system, existing resources could be used to rebuild better. Essentially, restoring damaged or destroyed resources and assets becomes also a priority. Unfortunately, for the Democratic Republic of Congo (DRC), despite its actual post-conflict status, the current assets of the population have not been formally identified, and the needs of the population are unknown and have, for the most part, not been effectively addressed [23,24,25]. Therefore, this study aims to explore the more optimal design of health services and to identify the resource constraints for BHS delivery to the most vulnerable populations in eastern Congo through an ABA.

2. Material and methods

2.1. Study Settings and Participants

This study was carried out in eastern Congo, where many families have unmet needs, including access to essential resources such as clean water and food. The situation in eastern Congo is particularly relevant because of the continuous combination of armed confrontation, internal displacement, and predatory state structures. In this study, the term “eastern Congo” will refer to three locations where data was collected from January to March 2021, including locations in South Kivu province (Bukavu, Katana - Kahungu, Kalehe - Ihimbi, and Walungu); North Kivu province (Goma, Mushake - Masisi, Bujovu - Nyiragongo, and Kirotshe - Shasha), and Ituri province (Bunia - Kigonze, Lita - Bahwere and Rwampara – Shari).
Participants were recruited from the communities of the eastern Congo if they were aged 18 years or older, were living in the eastern Congo, and had experienced at least one episode of conflict in the last 10 years. Participants had to agree to take part in community walking and community-engaged mapping discussions by providing written or verbal consent.

2.2. Study procedures

We conducted asset mapping based on the experiences and perspectives of community members using different qualitative methods with community members. Particularly, we adopted the Assets-Based Community Development (ABCD) mapping framework [20], which provides a step-by-step guide on how to identify the assets already present in communities to mobilize them in support of community development. We implemented the mapping in two main phases; below we describe the details of the various methods used in each phase separately:
The first phase comprises the identification of the assets already present in the community and the proper implementation of asset mapping processes by combining the Asset Mapping Survey and community Walks in the study at hand:
Asset Mapping Survey (AMS): used a semistructured interview guide (see Additional file 4 - Table 6) developed with a small number of open-ended questions covering different topics that were mainly focused on gaining a better understanding of their assets. These qualitative interviews were considered an appropriate method to explore perspectives on asset mapping processes and outcomes [26]. As a result, they helped to identify informal leader(s) who should be involved in the community-engaged mapping (CEM) discussion, which occurs at the end of the community walk. The semi-structured interview guide was first translated from English into Kiswahili and French and then back-translated into English. Eleven interviews were carried out by two field researchers.
Community Walks: Participants walked through their communities to identify assets and resources as they saw them through their eyes. Each participant was equipped with a blank paper on which they self-created a small map that they used throughout the walk to document the assets they identified and key observations. Participants included two field researchers from the Research Initiatives for Social Development (RISD) - a leading organization in training data collection teams, research implementation, and development projects, and community members randomly selected from the three study settings by the RISD researchers during the walk. One hundred and fifty-three participants took part in the community walks across the three study settings in eastern Congo (Table 1).
The second phase consists of the CEM, which is a group asset mapping event designed to gather feedback from community members about where they live, work, or attend school in the area. The goal is to map community assets that are the core of ABCD practice [27], such as (1) individuals, (2) local associations, (3) local institutions, (4) land and physical environment, (5) economy and exchange, and (6) culture, history, and stories [28,29]. ABCD assumes that assets fit into three major categories that are the asset base of every community, such as – individual, associational, and institutional [13]. This also provides a framework for recognizing, mapping, and mobilizing community assets. The hundred fifty-three participants who also completed the community walks were formed into breakout groups of approximately 8 to 12 formal and informal leader(s) per group, which can be described as a focus group around a map. They were then provided with a physical map printout (prepared beforehand by the field researchers on a flip chart) that they used to center their discussion around the location of the assets and discuss the resources in their communities that they have accessed. By doing so, they were able to identify strengths and assets within the community, resources that they accessed outside of the community, and areas that can be improved to become assets.

2.3. Data sources

To obtain information on the resource constraints, we built on the existing six classic categories of assets [27], and visualized the available resources for BHS delivery in eastern Congo. Participants' perspectives about existing assets were collected during interviews and CEM discussions that were conducted in local languages (Kiswahili or French) by two field researchers who were trained by the first author on the use of the interview and CEM discussion guides.

2.4. Data analysis

Information gathered from each study setting was transcribed for content analysis [30]. Content Analysis [31,32,33] was employed to review the qualitative data stemming from the semistructured interview transcripts, and CEM group discussions to pull out themes that would serve as the unit of analysis [34]. Based on an early discussion with the field researchers, we adopted a sequential approach to data analysis which included both deductive and inductive approaches [35,36]. Deductive coding (pre-set of codes) was used as an organizing framework for the coding process, assuming that the core concepts are in the data based on knowledge of the extant literature on ABCD [37,38], but themes were not anticipated during the design. The main field researcher (BMC) and the first author (DB) individually analyzed the transcripts according to this coding process. Inductive coding (derived codes from the data) was used for open coding (notes and headings were written in the text while reading it), creating categories and abstractions [30]. It also means that themes were mainly inductively generated [39], and data were categorized as anticipated from the design of the interview and CEM guides. The coding was done manually because data gathering was on a relatively small scale and thus an appropriate and manageable project to analyze in this manner [40–42] The names and identifiers were removed from the transcriptions. The transcribed notes from each study setting were interpreted concerning the six categories of core assets being investigated (see additional file 2 -Table 4. Sample codes, definitions, and examples).
To check for accuracy, two field researchers reviewed the main results that were generated from CEM discussions with participants, asking them to add to or comment on the results presented by asking if they captured their full reflections. We will further examine the six categories of core assets and discuss the themes generated during data analysis. More importantly, we will also examine the interconnections among assets; and find ways to access them. Examples and quotes that illustrate community assets will be highlighted.

2.5. Ethics Statement

Ethical approvals for the study were obtained from Ethics committees from the Université Libre des Pays du Grand Lac, in DR Congo (reference number: 003/CE/ULPG/MK/2020) and Maastricht University in the Netherlands (approval number: FHML-REC/2020/077). In addition to these formal ethical approvals, agreements with local competent health authorities were developed and signed by both the first author and the representatives of the local health authority. All participants were given an information sheet detailing the project and their rights to withdraw from it within the duration of the study; each signed a consent to participate.

3. Results

3.1. Participants' Characteristics

A total of 164 community members participated in this study, 104 were males (64%) and 60 were females (36%). Their ages ranged from 18 to 69 years old. Additional characteristics of the included participants are presented in Table 1.

3.2. Study Phase One: Asset Mapping Survey and Community Walk(s)

Table 2 displays sample quotes from community members during the Asset Mapping Survey. Overall, the surveys revealed capabilities that people would like to share with their respective communities, including childcare, elderly care, conflict management, mediation, praying for sick people, agriculture, and gardening. They also revealed that in general people care the most about issues related to childcare, family care, security, and food security.

3.3. Phase Two: Community-Engagement Mapping

Table 3. outlines the number and categories of assets captured, and shows how these assets were visualized through the asset map resources sheet [see additional file 1]. Approximately 211 assets were identified as available and potentially valuable resources for the communities in eastern Congo. Among them, 60 were related to local associations, 24 to land and physical environment, 43 to local institutions, 46 to individuals, 32 to economy and exchange, and only 6 to culture, history, and stories. These assets are interconnected and may influence each other (see Additional file 3: Table 5 Sample quotes from CEM Discussions). We further present these findings concerning the aforementioned six classic categories (represented in three settings) of community assets, including:
Local association assets. These are formal or informal groups of people working together as volunteers to generate collective action. Out of the 211 potentially valuable resources identified in eastern Congo, 60 (29%) were categorized by the community members as local associations. When clustered by type and associations working together for a common purpose, we found that the vast majority of associations are working on the emancipation of women, agriculture, food security, and community development. While exploring questions about how these assets can relate to health inequalities, CEM participants explained the following:
“…if a member of the local association becomes ill, he/she can borrow money from the association, use it to pay for basic healthcare, and pay it back to the association gradually. As a member of the local association, you can also borrow money and start a small business”.[CEM participant, Walungu]
“The local associations are not negatively linked to health inequalities, on the contrary, the members of a solidarity association must ensure that one of them benefits from good quality care by making contributions, each according to his or her means, if the sick person is not able to take care of him or herself.” [CEM participant, Bukavu]
Land and physical environment assets. These included both the built environment such as buildings and streets, but also accessible environmental assets such as physical spaces, which are environments where information is encountered, gathered, interacted with, and used. Community members use land and physical assets for sports but also for income-generating activities. Out of the 211 potentially valuable resources identified in eastern Congo, 24 (11%) were categorized by the community members as land and physical environment assets.
Community members were also able to map land and physical assets to churches, football pitches, guest houses, and small and big markets. Most CEM participants noted additional advantages of physical assets:
“…young people need fields to practice their sports and discover their talents. But, sports fields are not always ready to be used because rivers flood in many areas. Other physical areas are used as reception centers for victims of conflict where physical and psychological care are offered, and also the same areas are used by the community for income-generating activities.”[CEM participant, Walungu]
“Sport is very important for everyone's health, especially young people who need these spaces to train in football and basketball”[CEM participant, Bukavu]
However, other CEM group participants did not find additional advantages of physical assets, especially their relationship with health inequalities:
“We don't think that these places could be linked to health inequalities. We don't think it's related.”[CEM participant, Goma]. On the contrary, they were related to something different:
“Often these physical spaces are only involved in tourism”[CEM participant, Kigonze]
Local institutions’ assets. Involved in cataloging both formal and informal institutions. Formal institutions included schools, faith communities, and local government. Informalassociations are typically more ad hoc groups, such as sports teams, and local associations.
Institutions’ assets help the community capture valuable resources and establish a sense of civic responsibility. Out of the 211 potentially valuable resources identified in eastern Congo, 43 (20%) were categorized by the community as local institution assets. These could be mapped into primary and secondary schools, high schools and universities (including research centers), and local and national institutions. Participants discussed the need for more local institutions in the community. As CEM participants succinctly put it forward:
“Schools must teach children and young people that we are all equal, with or without money, and we all have the right to health care. But also our children are often injured by their peers at school when we cannot afford to take them to the health center”[CEM participant, Shasha].
“Local institutions take care of their workers and offer them health insurance. With this, the workers will have better access to health care. Often the people who are best taken care of in hospitals are those who have health care insurance from these institutions.”[CEM participant, Bukavu].
Individual assets. Every person belongs to a community of people who have capabilities, abilities, and gifts. However, different people have different ideas and different approaches. While inequalities and differences are acknowledged, they are not necessarily presented as obstacles to BHS delivery.
Exploring these differences often uncovers similarities among different individuals. Out of the 211 potentially valuable resources identified in eastern Congo, 46 (22%) were categories that reflect self-identified strengths of the community and solutions available to meet the community’s needs. These were classified into political leaders, classical healthcare providers (medical doctors, nurses, and midwives), traditional healthcare providers (traditional healers and teaching), artistic, or other skills. CEM participants commented:
“Speaking of health, doctors and nurses are the most concerned, as they are the ones who experience health inequalities in hospitals, health centers, and communities.”[CEM participant, Bukavu]
“…these people create jobs in our area. If you have a job, you will be able to feed your family and help everyone to be in good health”[CEM participants, Walungu]
Economy and exchange assets. Focus on the assets that can trigger or form the basis of entrepreneurial opportunities as well as existing and emerging business opportunities. Out of the 211 potentially valuable resources identified in eastern Congo, 32 (15%) were local economic assets – dealing with money or access. These were further categorized by the community into agriculture, livestock and agro-pastoral, fishing and maritime traffic, trade, and other businesses. CEM participants commented:
“If we don't have money, we cannot access basic health care. So, we work every day to gain money, buy food and feed our families, buy medicines in case of illnesses, or go to the hospital if very sick”[CEM participant, Ihimbi]
“We all know that inequalities in health are much more linked to the economy, as soon as you don't have the money you can't be taken care of”[CEM participant, Shasha]
Culture, history, and stories assets. Each community is unique, with its own unique history, culture, and local flavor. From the stories, people will emerge who have shown commitment and leadership in the past or who are currently taking a leadership role. This should be followed by bringing together a group of committed individuals who are interested in exploring the community’s assets, identifying opportunities, and leading developmental action. Out of the 211 potentially valuable resources identified in eastern Congo, 6 (2%) were categorized as culture, history, and stories by the community. These were mapped into cultural centers and meeting grounds for cinemas.

3.4. Mobilizing Identified Assets for Collective Action

Participants also identified underdeveloped factors that could be associated with BHS delivery to vulnerable populations in eastern Congo. By considering those other factors when addressing health issues, communities have “an opportunity to mobilize existing strengths and resources.” [43]. Guided by the community participatory approach, the mobilization process helps community members to better understand what HAs exist in their respective communities and connect about how these assets might be used to rebuild BHS delivery to the most vulnerable populations better.

4. Discussion

This study applies an ABA to explore the optimal design of health services and to identify the resource constraints for BHS delivery to the most vulnerable populations in eastern Congo. Following recommendations by the Marmot Review [44], “Effective local delivery requires effective participatory decision-making at the local level”. To this end, asset mapping is a first step towards effective local delivery of BHS as it produces evidence of the local community HAs, how they work, and whom they work for – moving beyond an NBA.
We describe existing assets in line with the six classic categories of assets that were preidentified from the literature, and what they represent for the community. Among them, there are 60 associations, 24 physical environments, 43 institutions, 46 individuals, 32 local economies, and 6 with culture, history, and stories. More importantly, the participants found that these assets are interconnected, meaning they have a close or shared relationship and in this way influence each other.
In eastern Congo, local associations dominated the social assets landscape. We found that the vast majority of these associations are working on women's issues, agriculture and food security, and community development. They create a network of care and mutual support in times of crisis, and that has the potential for a rapid response to local problems. This suggests that local associations promote mutual support in the communities and help people to collectively overcome protractive crises, also promoting networks, and illustrating how these can facilitate access to resources. It also highlights the power of connections and social capital in the creation of health. These associations are the vehicles through which the community's assets can be identified and connected in ways that multiply their effectiveness [45]. Elsewhere, similar work has highlighted how local organizations in Mozambique, Bangladesh, India, and Malawi can identify health priorities and work with facilitators to design effective interventions [46]. If basic health care is to be effectively delivered in the eastern Congo, this would require good collaboration and trust with existing local associations. In this specific context, existing social assets appear to be particularly relevant given their focus on improving BHS delivery to disadvantaged communities.
Physical assets include the natural resources and infrastructure of a community [47]. Participants also highlighted valuable physical assets including land, natural resources, and built environment that can contribute to efforts to improve BHS delivery to the most vulnerable. Particularly, two types of physical assets support BHS delivery: sports and recreational activities – as most participants emphasized the role of physical assets in giving them access to sports facilities and income-generating activities. On the contrary, a limited number of participants could not find a connection between physical assets and health. This finding provides insight into the role physical assets play in supporting basic health care to the community of eastern Congo. Given the specific context, these physical assets may create a safe physical environment and increase the social cohesion that supports basic health care service delivery. These findings are consistent with other studies suggesting that physical assets are important components of healthy and livable communities [48,49]. However, low-income communities often face health disparities related to a lack of physical space that could enable BHS delivery [49].
Our findings also indicate that resources were listed under the institutional category, where institutions referred to assets related to public service provisions, such as facilities providing resources related to health, safety, and general welfare. During the asset mapping, the participants generated evidence of existing institutional resources that could provide valuable environments for BHS delivery. One of the institutional assets that support BHS delivery in eastern Congo is the Bureau Diocésain des Œuvres Médicales (BDOM). It aims to improve the health status of the population in South Kivu by offering medical and technical services to the broader community. This is particularly relevant in this context, where more work is required to understand how the basic capacity for health service delivery can be built and equitably distributed. These findings are supported by previous work suggesting that institutional assets can contribute to improving BHS delivery [50,51].
Furthermore, participants generated evidence that individuals (also referred to as personal or human capital) are valuable resources to their communities and should be viewed as co-producers of their own and their community's wellbeing. Particularly, the process of developing capacity is more important than the presence or absence of specific resources in the community. Specifically, it includes communities' power to enhance their health. Finally, participants critically discussed the individual’s capacity to properly use these resources, and the relationship between individuals and community groups, as this was mainly perceived as an indicator of successful collaboration.
Our findings provide insight into the various roles of human capital in supporting BHS delivery to the most vulnerable populations. One of the key roles is the ability to work across boundaries between traditional and professional healthcare providers but also between individual and community-focused healthcare delivery. Findings from a previous study [52] further support the affirmation that assets play a key role in giving every individual a sense of capacity and purpose. In the specific context of eastern Congo, future research should explore the role of individual capacity-building as compared to the group capacity-building approach, and select what would fit the purpose of BHS delivery.
Cultural mapping is instrumental in promoting self-awareness and understanding of the social diversity within a community. It was undertaken as an initial step of cultural planning, thus before deciding how to support and promote cultural assets. It triangulates a range of data on resources such as artists, organizations, festivals, and other communities of interest. In this respect, it is a valuable starting point for promoting community health among the most vulnerable populations. In this study, community members spoke about particular cultural assets as a possible way to basic healthcare service delivery. Participants identified a very limited number of cultural assets (including cultural centers and meeting grounds for cinema), suggesting that there is very little space for cultural mapping activities which might provide a full picture of the cultural landscape. However, cultural assets cannot be captured by one-off consultations and require an approach that may be the first step in a long journey toward cultural sustainability [53]. This is particularly relevant in the context of eastern Congo, as a cultural asset is an essential asset that is often overlooked in the Global South [47]
Our findings finally indicate that resources were listed under the economic category of assets, where economic refers to businesses that can provide financial support to the most vulnerable populations. During the asset mapping, the participants generated evidence of existing economic resources, showing community members how well local economic resources are maximized for local economic benefit. This way, the most vulnerable people are empowered with economic concepts through this practically oriented discussion. This finding provides insight into the role economic resources play in supporting basic health and quantifies what resources it can leverage to improve BHS delivery to the most vulnerable populations, which can then be turned into targeted and implementable strategic plans. The findings of this study are consistent with other studies on the association between health and wealth [43,54,55], suggesting that high economic growth leads to investments in human capital and health advancement, and good population health leads to more labor productivity and economic growth. Although the study participants were able to establish the relationship between BHS delivery and the local economy, the economic theory fails to recognize the concept of community at all because while the economic theory demands the free mobility of both labour and capital, the concept of the community gets in the way of this free flow [56]. This is a potential limitation of community participation, which is one of the strategies of an ABA.
Strengths & Limitations
Strengths of the current study include the participation of the local community in the asset mapping process. This helps to build trust between community members and develop the capacity to recognize already existing assets (tangible) and identify potential assets that may not be apparent (intangible) [13,43]. Unique to the process is the application of asset-based principles for identifying community assets (by the community members themselves rather than by someone from outside the community) that hold the potential to improve the design, and delivery of basic healthcare services meant to improve BHS delivery. This suggests that asset mapping identifies and builds on assets and capacities already in a community rather than merely listing problems to be resolved, which emphasizes community strengths as having the greatest potential to advance sustainable development at the community level and effect lasting change.
A strength of particular interest was the full involvement of the community-engaged participants. Importantly, this participatory approach increases the validity of asset mapping, particularly when the field researchers are not members of the local community being studied [57]. Furthermore, various qualitative methods for data collection from the experiences and perspectives of community members have been used, which provide more varied answers, broaden the information obtained, and give it a high level of validity [58].
In terms of limitations, first, given the fragile context of the eastern Congo, all valuable assets may have not been identified; and those that have been highlighted may not be useable [59]. Only identifying valuable assets available to the community in eastern Congo would not be sufficient, therefore, future research could focus on a post-asset-mapping phase consisting of different activities (eventually leading to interventions) that could set the foundation for a BHS delivery, and enhance the quality of life in the community.
Second, the study included a limited number of community members who were able to participate in both study phases. This is reflective of the reality of mapping the assets available. More importantly, our findings are still based on a large body of qualitative data. Finally, because the study was conducted in three purposively selected settings, questions about transferability to the rest of the DRC may arise.
Our findings are likely to be context-specific and their generalisability to the outside of eastern Congo was not considered under the current asset mapping.

5. Conclusions

This paper describes how community members have used asset mapping to identify existing and potential resources and outlines how these could be applied in future research. From this perspective, asset mapping shows that it has the potential to contribute to ongoing discussions about how to improve BHS delivery by enhancing participation, capacity, and value within communities. By activating the existing and potential resources, community members will have the required resources for BHS delivery. These findings support the use of an asset-mapping research method as appropriate to identify existing and potential resources for BHS delivery in a post-conflict setting. Given the particular context of eastern Congo, starting from the six classic assets provides a unique framework for the categorization of the existing and potential assets, and supports the development of a straightforward BHS delivery system for the most vulnerable populations.

Authors' Contributions

DB and RC conceived the article and prepared the methodology. DB carried out the data analysis and prepared the initial draft of the manuscript, which was revised and approved by all authors. RC, NdV and EN, and RL supervised and Validated.

Funding

This study was funded, in part (only data collection), by Maastricht University.

Institutional Review Board Statement

The study was conducted following the Declaration of Helsinki and was approved by the Ethics committees from the Université Libre des Pays du Grand Lac, in DR Congo (reference number: 003/CE/ULPG/MK/2020) and Maastricht University in the Netherlands (approval number: FHML-REC/2020/077).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data generated during the present study cannot be shared due to issues of participants’ privacy and confidentiality.

Acknowledgments

The authors are grateful to the communities in eastern Congo for their participation in the asset mapping. Additionally, they would like to thank Dr. Bonfils Munyiwabene Cheruga (BMC) and Mrs. Juliette Munyerenkana (JM), both from RISD, for their participation as field researchers in this study. Special thanks to Dan Duncan (DD) for early discussions on the study design and recruitment process. Finally, we would like to thank the competent authorities from the three study settings for permission to conduct the study in these specific environments. All persons named in this section have provided permission to be named.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

  • ABAs: Assets-Based Approaches
  • ABCD: Asset-Based Community Development.
  • AMS: Asset Mapping Survey.
  • BHS: Basic Health Service
  • BDOM: Bureau Diocésain des Œuvres Médicales
  • CEM: Community-Engagement Mapping
  • DRC: Democratic Republic of Congo
  • HA: Health Assets
  • NACCHO: National Association of County and City Health Officials
  • NBAs: Needs-Based Approaches
  • PCHR: Post-Conflict Health Rehabilitation
  • PHAB: Public Health Accreditation Board
  • RISD: Research Initiatives for Social Development
  • WHO: World Health Organisation

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Table 1. Participants categories by study setting in eastern Congo.
Table 1. Participants categories by study setting in eastern Congo.
Eastern Congo provinces Study Site Asset Mapping Survey Community walk Community-Engaged Mapping (CEM)
North Kivu Location
Goma 1 11 11
Mushake (Masisi) 1 10 10
Bujovu (Nyiragongo) 1 10 10
Shasha (Kirotche) 1 10 10
South Kivu Location
Bukavu 1 15 15
Ihimbi (Kalehe) 1 12 12
Kahungu (Katana) 1 12 12
Walungu 1 15 15
Ituri Province Location
Kigonze (Bunia) 1 30 30
Lita (Bahwere) 1 13 13
Rwampara (Shari) 1 15 15
Number of participants 11 153 153
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