Hyperglycemia and elevated C-reactive protein are independent predictors of hospital mortality in hospitalized COVID-19 patients in South-Kivu, eastern Democratic Republic of the Congo: A cross-sectional study.

Background and Aim: The coronavirus disease 2019 (COVID-19) pandemic was a priority public health problem because of its high mortality rate. This study mainly aimed to determine factors associated with a poor outcome in COVID-19 hospitalized patients in South-Kivu, an eastern province of the Democratic Republic of the Congo (DRC). Methods: This observational study retrospectively evaluated medical records of patients consecutively admitted for probable or confirmed COVID-19 between May 01 and July 31, 2020 at the Hôpital Provincial Général de Référence de Bukavu (HPGRB), a tertiary hospital located in South-Kivu. A binary logistic regression model was performed to determine the predictors of mortality. Results: A total of 157 hospitalized COVID-19 patients aged 57.7 (13.2) years were included in this study. Male gender (69.4%), older age (52.9%), medical history of diabetes (38.2%), and arterial hypertension (35.1%) were the most frequent risk factors. Most patients presented with fever (73.3%), cough (72.6%), and dyspnea (66.2%). Overall, 45.1% of patients died. Intrahospital mortality was significantly associated with advanced age [odds ratio, OR (95% confidence interval, CI) = 2.34 (1.06-5.38)], hypoxemia [OR (95% CI) = 4.67 (2.02-10.77)], hyperglycemia [OR (95% CI) = 2.14 (1.06-4.31)], kidney failure [OR (95% CI) = 2.82 (1.4-5.68)], hyperleukocytosis [OR (95% CI) = 3.33 (1.67-6.66)], and higher C-reactive protein (CRP) levels [OR (95% CI) = 3.93 (1.93-8.01)]. After adjustment for various covariates, only higher CRP levels [OR (95% CI) = 3.23 (1.23-8.5)] and hyperglycemia [OR (95% CI) = 2.5 (1.02-6.11)] at admission were independently associated with mortality. Conclusion: Hyperglycemia and marked inflammatory syndrome were the major predictors of poor outcomes in patients hospitalized for COVID-19 in South-Kivu. These two factors should be quantified at hospital admission to establish the patient's prognosis.

Community perceptions of a biopsychosocial model of integrated care in the health center: the case of 4 health districts in South Kivu, Democratic Republic of Congo.

BACKGROUND: Biopsychosocial care is one of the approaches recommended in the health system by the WHO. Although efforts are being made on the provider side to implement it and integrate it into the health system, the community dynamic also remains to be taken into account for its support. The objective of this study is to understand the community's perceptions of the concept of integrated health care management according to the biopsychosocial approach (BPS) at the Health Center of a Health District and its evaluation in its implementation. METHODS: This cross-sectional study was done in six Health Areas belonging to four Health Districts in South Kivu, DRC. We conducted 15 semi-directive individual interviews with 9 respondents selected by convenience, including 6 members of the Development Committees of the Health Areas, with whom we conducted 12 interviews and 3 patients met in the health centers. The adapted Normalization MeAsure Development (NoMAD) tool, derived from the Theory of the Normalization Process of Complex Interventions, allowed us to collect data from November 2017 to February 2018, and then from November 2018 to February 2019. After data extraction and synthesis, we conducted a thematic analysis using the NoMAD tool to build a thematic framework. Six themes were grouped into three categories. RESULTS: Initially, community reports that the BPS approach of integrated care in the Health Centre is understood differently by providers; but then, through collective coordination and integrated leadership within the health care team, the approach becomes clearer. The community encouraged some practices identified as catalysts to help the approach, notably the development of financial autonomy and mutual support, to the detriment of those identified as barriers. According to the community, the BPS model has further strengthened the performance of health workers and should be expanded and sustained. CONCLUSIONS: The results of our study show the importance of community dynamics in the care of biopsychosocial situations by providers. The barriers and catalysts to the mechanism, both community-based and professional, identified in our study should be considered in the process of integrating the biopsychosocial model of person-centered health care.

Violence against health care workers in a crisis context: a mixed cross-sectional study in Eastern Democratic Republic of Congo.

BACKGROUND: Health Care Workers (HCWs) in conflict zones face high levels of violence while also playing a crucial role in assisting the population in distress. For more than two decades, the eastern provinces of the Democratic Republic of the Congo (DRC), have been wracked by conflict. This study aims to describe the state of violence against HCWs and the potential prevention mechanisms in eastern DRC. METHODS: In North and South Kivu, between February 5 and 21, 2021, we conducted a mixed cross-sectional convergent study in health facilities (health centers and hospitals). An anonymized self-administered questionnaire was sent to HCWs about their experience of violence in the 12 months prior to the study. In-depth individual interviews with HCWs, present on the day of the investigation, were also done to explore their experience of violence. A descriptive analysis of the quantitative data and a thematic analysis of the qualitative data was carried out. RESULTS: Of a total of 590 participants, 276 (45.9%) reported having experienced violence in the 12 months before the study. In North Kivu, aggressors were more frequently the patients (43.7% vs. 26.5%) and armed group members (14.3% vs. 7.9%) than in South Kivu. Most respondents (93.5%) reported verbal aggression (insults, intimidation, death threats). Other forms of physical aggression including with bare hands (11.2%), firearm (1.81%), and stabbing (4.7%). Only nearly one-tenth of the attacks were officially reported, and among those reported a higher proportion of sanctions was observed in South Kivu (8.5%) than in North Kivu (2.4%). The mechanisms proposed to prevent violence against HCWs were community initiatives and actions to strength the health system. CONCLUSIONS: In Eastern DRC, HCWs face multiple and severe forms of aggression from a variety of individuals. The effects of such levels violence on HCWs and the communities they served could be devastating on the already pressured health system. Policy framework that defines the roles and responsibilities for the protection of HCWs and for the development and implementation of preparedness measures such as training on management of violence are possible solutions to this problem.

Comparative analysis of the health status of the population in six health zones in South Kivu: a cross-sectional population study using the WHODAS.

BACKGROUND: The eastern Democratic Republic of Congo (DRC) has experienced decades-long armed conflicts which have had a negative impact on population's health. Most research in public health explores measures that focus on a specific health problem rather than overall population health status. The aim of this study was to assess the health status of the population and its predictors in conflict settings of South Kivu province, using the World Health Organization Disability Assessment Schedule (WHODAS). METHODS: Between May and June 2019, we conducted a community-based cross-sectional survey among 1440 adults in six health zones (HZ), classified according to their level of armed conflict intensity and chronicity in four types (accessible and stable, remote and stable, intermediate and unstable). The data were collected by a questionnaire including socio-demographic data and the WHODAS 2.0 tool with 12 items. The main variable of the study was the WHODAS summary score measuring individual's health status and synthesize in six domains of disability (household, cognitive, mobility, self-care, social and society). Univariate analysis, correlation and comparison tests as well as hierarchical multiple linear regression were performed. RESULTS: The median WHODAS score in the accessible and stable (AS), remote and stable (RS), intermediate (I) and unstable (U) HZ was 6.3 (0-28.6); 25 (6.3-41.7); 22.9 (12.5-33.3) and 39.6 (22.9-54.2), respectively. Four of the six WHODAS domain scores (household, cognitive, mobility and society) were the most altered in the UHZs. The RSHZ and IHZ had statistically comparable global WHODAS scores. The stable HZs (accessible and remote) had statistically lower scores than the UHZ on all items. In regression analysis, the factors significantly associated with an overall poor health status (or higher WHODAS score) were advanced age, being woman, being membership of an association; being divorced, separated or widower and living in an unstable HZ. CONCLUSIONS: Armed conflicts have a significantly negative impact on people's perceived health, particularly in crisis health zones. In this area, we must accentuate actions aiming to strengthen people's psychosocial well-being.