ETHICAL CONSIDERATION ON METHODS OF HEALTH RESEARCH
Author(s)
Sermsri MS
Mahidol University, Nakornpathom, Thailand
Presentation Documents
Methods of a survey research in health have recently been included in an ethical review board in Thailand. A main goal of ethical consideration in health research is to protect the right and well-being of research participants, i.e., patients, villagers and residents and to ensure the right and freedom of the research participants to corporate in a provision of research information. The objective of this paper is to discuss loopholes of research methods in health and the discussions derived in part from a review board. A careful procedure of research methodology indicates the quality of research findings and provides a clue to the answer whether the results of research could be able for policy practices. Methods ensure how health researchers are able to conduct the proper activities in seeking more truly research information from the participants . And the ethical review is to be certain how the personal information of the participants should be kept carefully. Loopholes in methods of health research were definitely lowering the quality of research products. Importantly, an application of research became questionable. Many loopholes were found in various steps of methodological application, including, setting an inclusion criteria, conducting an interview, utilizing research tool and more on stating research objectives and making a research title. The inclusion criteria of the research participants was specifically not inclusive, an interview usually held in hastezy environments and improper mechanism for field research. Research tools applied were not carefully constructed and culturally inappropriate to the research subjects. Presenting a research protocol showed several inadequate training in methodological practices.
Conference/Value in Health Info
2014-09, ISPOR Asia Pacific 2014, Beijing, China
Value in Health, Vol. 17, No. 7 (November 2014)
Code
PRM38
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Multiple Diseases