Need for Staff Education in the Importance of Clinical Research, Including Data Analysis, Conducted by Medical Staff
10.2185/jjrm.66.109
- VernacularTitle:医療スタッフによるデータ分析を含む臨床研究の意義に対するスタッフ教育の必要性
- Author:
Takanori MIURA
;
Chizuru MITSUI
;
Noriko ODAKE
;
Kenichi YAMADA
;
Ayaka HASHI
;
Mika OOBA
;
Hideaki TOYOSHIMA
;
Shiro URATA
- From:Journal of the Japanese Association of Rural Medicine
2017;66(2):109-117
- CountryJapan
- Language:Japanese
-
Abstract:
The number of medical staff who can conduct clinical research in our hospital has been decreasing every year, and thus education that enhances medical staff's understanding of the importance of clinical research is an important factor in improving patient management. Although staff education has begun to develop infrastructure necessary for conducting clinical research, it is unclear whether medical staff who must play a critical role in clinical research are actually interested in conducting research and participating in research-related educational programs. We carried out a cross-sectional questionnaire survey of medical staff to determine their interest in clinical research activities and related education. Of 894 medical staff who participated in a workshop at Anjo-Kosei Hospital, 718 responded to the survey (response rate: 80.3%), 24.9% of whom had experience in clinical research and 51.0% had an interest in the field and related data analysis. Furthermore, 51.0% of respondents showed demonstrable intention to participate in staff education. Such intention to participate was particularly obvious among clinicians, pharmacists, registered dietitians, radiologists, and rehabilitation therapists. Also, staff in their 30s and 40s were frequently interested in conducting clinical research and related data analysis. This suggests that these staff prefer a research environment where they can undertake clinical research soon after completing clinical training. Moreover, regarding the question of specific educational areas, statistical methods for data analysis garnered the highest interest, followed by methods of writing a research paper, use of statistical software, data interpretation, designing research, and identifying research topics. Therefore, such educational programs should be flexible to suit medical staff who perform data analysis as well as clinical research.
