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Biomedical subjects

Wonshik Chee

Publications and source records attributed to Wonshik Chee.

6 recordsLinked to original sources
PubMed2004

Issues in an Internet survey among midlife Asian women.

Because a limited amount of women's health research using Internet-based data collection methods has been done, very little is known about the methodological and ethical issues that are unique to this emerging research practice. The purpose of this article is to inform the future directions of Internet usage in women's health research based on the practical issues raised in an Internet survey of 62 midlife Asian women in the United States. The issues include (a) potential selection biases, (b) ethical concerns, (c) a low response rate, (d) frequent consultations, and (e) potential data entry errors. Based on the discussion of the issues, future directions for Internet research are proposed.

Adult↗
PubMed2003

Fuzzy logic and nursing.

In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and suggest fuzzy logic as an example of theoretical bases that help transcend the conflicts between objectivity and subjectivity, respect gray zones between black and white answers for questions, and provide a contextual understanding of complex nursing phenomenon. A historical review of fuzzy logic is followed by a definition of fuzzy logic. Then, fuzzy logic is discussed in terms of its compatibility with nursing epistemological views and philosophical thoughts. Fuzzy logic agrees with three categories of epistemological views of nursing, including correspondence, coherence and pragmatism. Fuzzy logic also agrees with four major philosophical thoughts in nursing, including postempiricism, pragmatism, feminism, and postmodernism. Based on the discussion, we propose that fuzzy logic be further explored, used and developed in research and practice in the nursing areas/situations/phenomena that are characterized by complexity, ambiguousness, and vagueness.

Empiricism↗
PubMedDate not supplied

Issues in protection of human subjects in internet research.

BACKGROUND: Despite the increasing use of the Internet among nurses, the use of the Internet in nursing research has been rarely discussed and critiqued in terms of issues in protection of human subjects. APPROACH: In this article, issues in protection of human subjects in Internet research are explored by analyzing an Internet study to propose directions for human protection in Internet research. RESULTS: Issues raised through the study include those related to (a) anonymity and confidentiality, (b) security, (c) self-determination and authenticity, (d) full disclosure, and (e) fair treatment. DISCUSSION: Based on discussion of the five issues, development of standardized guidelines, investigator triangulation, and information sharing are proposed as directions for protection of human subjects in Internet research.

Confidentiality↗
PubMedDate not supplied

Feminist issues in e-mail group discussion among cancer patients.

From a feminist perspective, issues in using e-mail group discussion among cancer patients are explored and discussed by analyzing a study on gender and ethnic differences in cancer pain experiences among cancer patients. First, the study is concisely described. Then, while considering the essential components of research from a feminist perspective, issues identified throughout the research process (intersubjectivity, lack of women's voices, reflexivity and contextuality, dependability, and adequacy and credibility) are discussed. Based on the discussion, implications for future feminist research using e-mail group discussion are proposed.

Adult↗
PubMedDate not supplied

Decision support computer program for cancer pain management.

The purpose of the study was to develop an initial version of computer software that could assist nurses' decision making about cancer pain reported by women from diverse cultural groups. This cross-sectional study included two phases: (1) data collection and (2) development of computer software. Data were collected using an Internet survey and e-mail group discussions of 19 faculty members from 10 countries who were self-identified experts in oncology nursing. The data were analyzed using descriptive statistics and content analysis. The findings indicated ethnic, gender, geographic, and age differences in cancer pain descriptions. Based on the collected data, a decision support computer program for cancer pain management, including (1) a knowledge base generation module, (2) a decision-making module, and (3) a self-adaptation module, was developed. Based on the study findings, suggestions for future research and practice related to cancer pain and expert systems were proposed.

Artificial Intelligence↗