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

Conflict DRC Health status Population South Kivu WHODAS

Journal

Conflict and health
ISSN: 1752-1505
Titre abrégé: Confl Health
Pays: England
ID NLM: 101286573

Informations de publication

Date de publication:
02 Jul 2021
Historique:
received: 04 12 2020
accepted: 15 06 2021
entrez: 3 7 2021
pubmed: 4 7 2021
medline: 4 7 2021
Statut: epublish

Résumé

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). 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 34215304
doi: 10.1186/s13031-021-00387-0
pii: 10.1186/s13031-021-00387-0
pmc: PMC8254209
doi:

Types de publication

Journal Article

Langues

eng

Pagination

52

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Auteurs

Samuel Lwamushi Makali (SL)

Ecole Régionale de Santé Publique, Faculté de Médecine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo. samuelmakali11@gmail.com.
Hôpital Provincial Général de Référence de Bukavu (HPGRB), Bukavu, Democratic Republic of Congo. samuelmakali11@gmail.com.

Espoir Bwenge Malembaka (EB)

Ecole Régionale de Santé Publique, Faculté de Médecine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.

Anne-Sophie Lambert (AS)

Institut de Recherche Santé et Société, Université Catholique de Louvain, Brussels, Belgium.

Hermès Bimana Karemere (HB)

Ecole Régionale de Santé Publique, Faculté de Médecine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.

Christian Molima Eboma (CM)

Ecole Régionale de Santé Publique, Faculté de Médecine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.

Albert Tambwe Mwembo (AT)

Ecole de Santé Publique, Université de Lubumbashi, Lubumbashi, Democratic Republic of Congo.

Steven Barnes Ssali (SB)

Makerere University, Kampala, Uganda.

Ghislain Bisimwa Balaluka (GB)

Ecole Régionale de Santé Publique, Faculté de Médecine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.

Phillippe Donnen (P)

Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.

Jean Macq (J)

Institut de Recherche Santé et Société, Université Catholique de Louvain, Brussels, Belgium.

Classifications MeSH