Background: The disruptive effect of protracted socio-political instability and conflict on the health systems is likely to exacerbate inequities in health service utilisation in conflict-recovering contexts. Objective: To examine whether the level of healthcare need is associated with health facility utilisation in post-conflict settings. Methods: We conducted a cross-sectional study among adults with diabetes, hypertension, mothers of infants with acute malnutrition, informal caregivers (of participants with diabetes and hypertension) and helpers of mothers of children acutely malnourished, and randomly selected neighbours in South Kivu province, eastern DR Congo. Healthcare need levels were derived from a combination, summary and categorisation of the World Health Organisation Disability Assessment Schedule 2.0. Health facility utilisation was defined as having utilised in the first resort a health post, a health centre or a hospital as opposed to self-medication, traditional herbs or prayer homes during illness in the past 30 days. We used mixed-effects Poisson regression models with robust variance to identify the factors associated with health facility utilisation. Results: Overall, 82% (n = 413) of the participants (N = 504) utilised modern health facilities. Health facility utilisation likelihood was higher by 27% [adjusted prevalence ratio (aPR): 1.27; 95% CI: 1.13–1.43; p < 0.001] and 18% (aPR: 1.18; 95% CI: 1.06–1.30; p = 0.002) among participants with middle and higher health needs, respectively, compared to those with low healthcare needs. Using the lowest health need cluster as a reference, participants in the middle healthcare need cluster tended to have a higher hospital utilisation level. Conclusion: Greater reported healthcare need was significantly associated with health facility utilisation. Primary healthcare facilities were the first resort for a vast majority of respondents. Improving the availability and quality of health service packages at the primary healthcare level is necessary to ensure the universal health coverage goal advocating quality health for all can be achieved in post-conflict settings.

Background The Eastern part of the Democratic Republic of Congo (DRC) has been affected by armed conflict for several years. Despite the growing interest in the impact of these conflicts on health service utilisation, few studies have addressed the coping mechanisms of the health system. The purpose of this study is to describe the traumatic events and coping mechanisms used by the health zones (HZs) in conflict settings to maintain good performance.Methods This multiple case study took place from July to October 2022 in four HZs in the South Kivu province of DRC. HZs were classified into “cases” according to their conflict profile: accessible and stable (Case 1), accessible but remote (Case 2), unstable (Case 3), and intermediate (Case 4). Eight performance indicators and the amount of funding provided to the HZs by non-governmental organisations (NGOs) were recorded. A graph was created to compare their evolution from 2013 to 2018. A thematic analysis of qualitative data from individual interviews with selected health workers was conducted.Results Both battle-related events (war and its effects) and non-battle-related events (epidemics, disasters, and strikes) were recorded according to the case conflict-profile. Although the cases (3 and 4) most affected by armed conflicts occasionally performed better than the stable ones (1 and 2), their operational action plan was poorly carried out. The coping mechanisms developed in cases 3 and 4 were the deployment of military nurses in preventive and supervisory activities, the solicitations of subsidies from NGOs, the relocation of healthcare facilities and the implementation of negotiation strategies with the belligerents.Conclusion Armed conflict results in traumatic events that disrupt the execution of the operational action plan of HZs. The HZs’ management team expertise, its strong leadership, and substantial financial support would enable this system to develop reliable and sustainable adaptive mechanisms.

Background: Access to quality healthcare is a global fundamental human right. However, in the Democratic Republic of the Congo, several parameters affect the choices of health service users in fragile, rural contexts (zones). The overarching aim of this study was to identify the first recourse of healthcare-seeking and the determinants of utilization of health centers (primary health care structures) in the rural health zones of Katana and Walungu. Methods: A cross-sectional survey was conducted from June to September 2017. Consenting respondents comprised 1751 adults. Continuous data were summarized using means (standard deviation) and medians (interquartile range). We used Pearson’s chi-square test and Fisher exact test to compare proportions. Logistic regression was run to assess socio-determinants of health center utilization. Results: The morbidity rate of the sample population for the previous month was 86.4% (n = 1501) of which 60% used health centers for their last morbid episode and 20% did not. 5.3% of the respondents patronized prayer rooms and 7.9% resorted to self-medication principally because the cost was low, or the services were fast. Being female (OR: 1.51; p = 0.005) and a higher level of education (OR: 1.79; p = 0.032) were determinants of the use of health centers in Walungu. Only the level of education was associated with the use of health centers in Katana (OR: 2.78; p = 0.045). Conclusion: Our findings suggest that health centers are the first recourse for the majority of the population during an illness. However, a significant percentage of patients are still using traditional healers or prayer rooms because the cost is low. Our results suggest that future interventions to encourage integrated health service use should target those with lower levels of education.

The importance of viewing health from a broader perspective than the mere presence or absence of disease is critical at primary healthcare level. However, there is scanty evidence-based stratification of population health using other criteria than morbidity-related indicators in developing countries. We propose a novel stratification of population health based on cognitive, functional and social disability and its covariates at primary healthcare level in DR Congo. We conducted a community-based cross-sectional study in adults with diabetes or hypertension, mother-infant pairs with child malnutrition, their informal caregivers and randomly selected neighbours in rural and sub-urban health zones in South-Kivu Province, DR Congo. We used the WHO Disability Assessment Schedule 2.0 (WHODAS) to measure functional, cognitive and social disability. The study outcome was health status clustering derived from a principal component analysis with hierarchical clustering around the WHODAS domains scores. We calculated adjusted odds ratios (AOR) using mixed-effects ordinal logistic regression. Of the 1609 respondents, 1266 had WHODAS data and an average age of 48.3 (SD: 18.7) years. Three hierarchical clusters were identified: 9.2% of the respondents were in cluster 3 of high dependency, 21.1% in cluster 2 of moderate dependency and 69.7% in cluster 1 of minor dependency. Associated factors with higher disability clustering were being a patient compared to being a neighbour (AOR: 3.44; 95% CI: 1.93–6.15), residency in rural Walungu health zone compared to semi-urban Bagira health zone (4.67; 2.07–10.58), female (2.1; 1.25–2.94), older (1.05; 1.04–1.07), poorest (2.60; 1.22–5.56), having had an acute illness 30 days prior to the interview (2.11; 1.24–3.58), and presenting with either diabetes or hypertension (2.73; 1.64–4.53) or both (6.37; 2.67–15.17). Factors associated with lower disability clustering were being informally employed (0.36; 0.17–0.78) or a petty trader/farmer (0.44; 0.22–0.85). Health clustering derived from WHODAS domains has the potential to suitably classify individuals based on the level of health needs and dependency. It may be a powerful lever for targeting appropriate healthcare service provision and setting priorities based on vulnerability rather than solely presence of disease.