IntroductionIndividuals residing in Limpopo, KwaZulu-Natal and the Eastern Cape provinces who had access to public health services were surveyed to determine public knowledge and awareness of the new National Health Insurance (NHI).MethodsA descriptive cross-sectional study was conducted and a total of 748 adult respondents were sampled using a two-stage systematic sampling design. Data were collected using mobile phone assisted personal interviews.ResultsThe study found that 80.3% of the respondents were aware of the NHI and slightly less than half (49.8%) of the respondents did not have knowledge of how the NHI works and 71.8% lacked awareness about the origin of the development of the NHI concept in South Africa. The knowledge of what the NHI would pay for was poor and 48.1% knew that the NHI Fund would pay for medical expenses if a person got sick and 45.7% knew that with health insurance, basic health requirement is ensured and that if one becomes ill, medical treatment would be paid for by the NHI Fund, 50.9% of respondents did not understand how the NHI Fund will pay for health care received, only 44.8% understood how the NHI will pay for health care services received.ConclusionThe public education campaigns to increase knowledge and understanding of the NHI scheme might have been inadequate hence might not have penetrated many communities. It is recommended that a comprehensive community consultation plan be established to increase awareness and knowledge of the NHI among community members targeting clinics, schools, pension pay points and other community sites.
Coordinated transcriptional modulation of large gene sets depends on the combinatorial use of cis-regulatory motifs in promoters. We postulate that promoter content similarities are diagnostic for co-expressing genes that function coherently during specific cellular responses. To find the coexpressing genes we propose an ab initio method that identifies motif families in promoters of target gene groups, map these families to the promoters of all genes in the genome, and determine the best matches of each of the target group gene promoters with all other promoters. When the method was tested in rice starting from a group of co-expressing Late Embryogenesis Abundant (LEA) genes, we obtained a promoter similarity-based network that contained candidate genes that could plausibly complement the function of LEA genes. Importantly, 73.36% of 244 genes predicted by our method were experimentally confirmed to co-express with the LEA genes in maturing rice embryos, making this methodology a promising tool for biological systems analyses. Rice (2008) 1:177-187 DOI 10.1007 Stuart Meier, Chris Gehring, Yue-ie Hsing, and Vladimir Bajic are the first authors.Electronic supplementary material The online version of this article
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.