Joinpoint Regression: Overview and Application in Research on Trends or Situations of Health Science Problems
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Abstract
Health research is informed by the study of health science, trends, and predicted patient numbers, with the aim of using these results to support government health organizations responsible for public health. It encourages and assists decision-makers in determining whether to plan operations or handle health issues. Joinpoint regression is a commonly used technique for evaluating this type of data. It looks at trends and changes in health outcome data, like the number of patients, mortality rates, and morbidity rates. Additionally, the National Cancer Institute has created a ready-made program to facilitate data analysis for researchers. It is available without charge to researchers and interested parties. However, having ready-made tools to facilitate analysis is a beneficial thing. But for researchers, choosing a data analysis method and interpreting the results obtained from ready-made programs effectively and correctly requires an understanding of the principles, concepts, and theories from which the results of the analysis are derived. This understanding leads to the dissemination of accurate study results and helps prevent misunderstandings or misleading conclusions.
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