How robust are district health systems? Coping with crisis and disasters in Rutshuru, Democratic Republic of Congo.
BACKGROUND
Since the eighties, the North Kivu Province socio-economic environment has been deteriorating. This province also faced an influx of Rwandan refugees in July 1994. The objective of the paper is to show how a rural health district has been able to adjust and maintain its medical activities under unfavourable conditions.


METHODS
Performances of the local health system were assessed through the analysis of routine medical data collected in the Rutshuru Health District (RHD) between 1985 and 1995. Specific data collected during the Rwandan refugee crisis measured the workload of RHD due to the refugees.


RESULTS
For 11 years, health infrastructures have remained accessible and functional in RHD. The curative utilization and preventive coverage rates increased. Obstetrical activities were intensified from a quantitative as well as from a qualitative point of view. Between July and October 1994, the RHD treated 65000 cases of various pathological conditions in Rwandan refugees settled outside the camps. This corresponds to 9.3% of consultations for Rwandan refugees settled on RHD's territory and represents a 400% increase in the curative workload for the RHD health services. Human and financial resources remained at a very low level, especially when compared with those available in the camps through relief agencies.


CONCLUSIONS
The RHD was severely affected by various stresses but its services managed to provide significant and efficient response to these crises. Health district systems may constitute an effective tool to provide health care under adverse conditions.
Porignon
D
D
Centre for Scientific and Medical Research of the Free University of Brussels, CEMUBAC, School of Public Health, Belgium.
Soron'Gane
E M
EM
Lokombe
T E
TE
Isu
D K
DK
Hennart
P
P
Van Lerberghe
W
W
D003153:Community Health Services / Q000458:organization & administration / Q000706:statistics & numerical data / Q000639:trends*; D016001:Confidence Intervals; D003419:Crisis Intervention; D003695:Delivery of Health Care / Q000458:organization & administration / Q000706:statistics & numerical data / Q000639:trends*; D015023:Democratic Republic of the Congo; D004190:Disasters / Q000706:statistics & numerical data; D006801:Humans; D016014:Linear Models; D012036:Refugees / Q000706:statistics & numerical data; D019035:Rural Health Services / Q000458:organization & administration / Q000706:statistics & numerical data / Q000639:trends*; D012432:Rwanda / Q000208:ethnology; D012959:Socioeconomic Factors; D013997:Time Factors