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dc.contributor.advisorKnight, Stephen.
dc.creatorPillay, J. D.
dc.date.accessioned2012-11-13T12:05:29Z
dc.date.available2012-11-13T12:05:29Z
dc.date.created2005
dc.date.issued2005
dc.identifier.urihttp://hdl.handle.net/10413/7843
dc.descriptionThesis (M.P.H.)-University of KwaZulu-Natal, 2005.en
dc.description.abstractThe uThukela District in the province of Kwazulu-Natal, Republic of South Africa, has been involved in improving Primary Health Care (PHC) in the district through evaluation surveys carried out at regular intervals during the past six years. World Vision's uThukela District Child Survival Project (TDCSP) began in November 16, 1999. This has been made possible by a Child Survival Grants Program from the Unites States Agency for International Development (USAID). In all previous surveys a 30-cluster sampling methodology was used to select individuals from the survey population. This time however, the Lot Quality Assurance Sampling (LQAS) methodology was used. The recent re-organization of the District into municipalities enabled each municipality to function as one Supervision Area (SA) or Lot. Even with a small sample size (in this case 24 per SA), poor health service performance could be identified so that resources are appropriately distributed. Furthermore, people from the community such as Community Health Workers (CHW) were involved in all phases of the study, including the manual analysis of the results, upon being trained appropriate. However, it is questionable as to how accurate and reliable such a manual analysis was. In this dissertation, the manual results of the study were evaluated by doing an electronic analysis. In addition, a more refined analysis of the data has been produced (e.g. population-weighted coverage, graphs and stratified analyses in some cases). From the comparisons made, it was concluded that the manual analysis was very similar to the electronic analysis and that differences obtained were not statistically significant. In addition, due to each municipality varying in population size, it was queried as to whether population-weighted results would produce a marked difference from the un-weighted, manual results. Again, the differences produced were in most cases not statistically significant. This concluded that the manual analysis carried out by the TDCSP team was accurate and that it is appropriate to use such results in determining individual municipality performance and overall District performance so that responsive action can then be taken immediately, without necessarily having to wait for electronic results.en
dc.language.isoen_ZAen
dc.subjectChildren--Mortality.en
dc.subjectChild health services.en
dc.subjectMaternal health services.en
dc.subjectMaternal and infant welfare.en
dc.subjectTheses--Public health medicine.en
dc.titleAn analysis and evaluation of the child survival project in the uThukela district of KwaZulu-Natal.en
dc.typeThesisen


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