Batoul Safieddine, Julia Grasshoff, Siegfried Geyer, Stefanie Sperlich, Jelena Epping, Johannes Beller
Type 2 diabetes in the employed population: do rates and trends differ among nine occupational sectors? An analysis using German health insurance claims data
BMC public health
background studies investigated link human resources health health outcomes arrive different conclusions tested strength significance density human resources health improved methods new dataset methods crosscountry multiple regression analyses maternal mortality rate infant mortality rate underfive mortality rate dependent variables aggregate density human resources health independent variable one set regressions doctor nurse densities separately used another set controlled effects income female adult literacy absolute income poverty findings density human resources health significant accounting maternal mortality rate infant mortality rate underfive mortality rate elasticities ranging 0474 0212 p values 00036 elasticities three mortality rates respect doctor density ranged 0386 0174 p values 00029 nurse density associated except maternal mortality rate regression without income poverty p00443 interpretation addition determinants density human resources health important accounting variation rates maternal mortality infant mortality underfive mortality across countries effect density reducing maternal mortality greater reducing child mortality possibly qualified medical personnel better address illnesses put mothers risk investment human resources health must considered part strategy achieve millennium development goals improving maternal health reducing child mortality