Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics-1
Domaine:
healthcaregeospatialType de record:
paper
Créateur:
PetAbdCatPri
Hôte:
Copyright information:
Taken from "Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics"
BMC Medicine 2007;5():37-37.
Published online 11 Dec 2007
PMCID:PMC2225405.
onth at government health facilities in Kenya during 1996–2004. Unadjusted means were calculated directly from incomplete HMIS data. Adjusted means were based on a geostatistically-completed version of this dataset. Vertical bars on the adjusted annual mean plot show 95% confidence intervals. The provenance and sensitivity of the HMIS data were affirmed by the observations of two marked aberrations in the monthly data: December 1997, a month of industrial action nationwide by nurses, and July 2004 when large publicity surrounded the reduction of user fees at government clinics.Similaires
Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatisticsInformation for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics-0Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics-2Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics-3