Furthermore, rather than fully explicating their methods, most of their 'results' section is devoted to explaining why the 12-months follow-up yielded more accurate reporting. Although this finding is indeed interesting and important, it is not directly related to how the research question was framed in terms of the superiority of using two different sources of data-tracking.
Is the method of presentation effective? Is the method of presentation accurate?
While the findings are interesting, there are many questions left open-ended from a reader's point-of-view. For instance, how were these diagnoses obtained? Were they from individuals willingly being tested for HIV or who had received a diagnosis because of other complications or because of enforced testing (such as before entering a correctional setting). Different states have entirely different methods of tabulating data (for example, some use electronic record-keeping, others do not) but other than referring to this, no distinction are made between states.
Although underreporting may be a 'fact' the lack of information as to where and how it is occurring is frustrating for the reader.
Are the conclusions supported by the study results? What are the implications of the finding for practice and future research? What are the...
HIV and AIDS in Kenya Human Immunodeficiency Virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS) is a very deadly disease. This disease causes debilitating illness and ultimately causes early death in people who are in the prime of their lives. This illness has major affects on the families that are impacted. HIV / AIDS ruins the lives of many, those infected and their families. Children are orphaned, wives are widowed and
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The subjects were adolescents 14-18 years old. They were recruited from schools and health clinics. The subjects completed an in-depth survey and interview at baseline and again 6 months later. The subsequent analyses were limited to adolescents with steady partners who reported sexual activity between the baseline and 6-month follow-up assessment periods (N = 179). At baseline, five-scale measures and a single-item measure were used to assess predictive constructs,
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