In addition to listening strategy, accurate reading and data interpretation are equally substantial. I encountered a situation where being mindful of potential biases was the accountability of not only those who design, participate and analyze research in public health, but also those who read the research assessment and make policy and other decisions–based on the results. Working at Department of Hospital Epidemiology and Infection Control at St. Joseph Medical Center was something I enjoyed. This is due to how strictness interpretations of control policies are. As an intern, in the special administrative section, I ensured series of educational programs pertaining to infection control for hospital staffs, trainees and physicians are well documented and reviewed before anything else. Bias analysis could simply be done by making sure information are recorded and reviewed correctly. An article by MacLehose & Werler (2014) seemed to describe and support the important of bias analysis in epidemiological research approach. They emphasized the capacity of bias analysis to bring expressive adjusted data and on the capacity of the assessor to correctly determine the structure of eradicating potential (i.e. future) bias (MacLehose & Werler, 2014).
MacLehose, R. F., & Werler, M. M. (2014). Importance of Bias Analysis in Epidemiologic Research. Pediatric & Perinatal Epidemiology, 28(5), 353-355.
