OBJECTIVE: There is a growing need for students and practitioners of Traditional Chinese Medicine to gain experience with standardized data collection, patient outcomes measurement, and practice-based research. The purpose of this paper is to describe the development of a process for standardized data collection that could eventually be adopted for clinical, research, and quality assurance purposes. SETTINGS/LOCATION: The setting for this study was an acupuncture and Oriental medicine teaching clinic in Bloomington, Minnesota. METHODS: Four (4) aspects of data collection were assessed and improved, including intake and post-treatment questionnaires, follow-up with patients, integration of data collection into clinic flow, and commitment of resources to the project. OUTCOME MEASURES: The outcomes measures were data collection and missing data rates, burden on patients and clinic staff, and efficiency of data entry. RESULTS: Revision to the data collection process resulted in decreased burden to patients and staff, more detailed and aggressive follow-up protocols, enhanced training for clinic staff, and increased personnel and data-related resources. CONCLUSIONS: The systematic collection of descriptive and clinical characteristics can be accomplished in a teaching clinic with thoughtful attention paid to data collection protocols, dedicated resources, and the involvement of all relevant personnel.
OBJECTIVE: There is a growing need for students and practitioners of Traditional Chinese Medicine to gain experience with standardized data collection, patient outcomes measurement, and practice-based research. The purpose of this paper is to describe the development of a process for standardized data collection that could eventually be adopted for clinical, research, and quality assurance purposes. SETTINGS/LOCATION: The setting for this study was an acupuncture and Oriental medicine teaching clinic in Bloomington, Minnesota. METHODS: Four (4) aspects of data collection were assessed and improved, including intake and post-treatment questionnaires, follow-up with patients, integration of data collection into clinic flow, and commitment of resources to the project. OUTCOME MEASURES: The outcomes measures were data collection and missing data rates, burden on patients and clinic staff, and efficiency of data entry. RESULTS: Revision to the data collection process resulted in decreased burden to patients and staff, more detailed and aggressive follow-up protocols, enhanced training for clinic staff, and increased personnel and data-related resources. CONCLUSIONS: The systematic collection of descriptive and clinical characteristics can be accomplished in a teaching clinic with thoughtful attention paid to data collection protocols, dedicated resources, and the involvement of all relevant personnel.
Authors: Daniel C Cherkin; Richard A Deyo; Karen J Sherman; L Gary Hart; Janet H Street; Andrea Hrbek; Roger B Davis; Elaine Cramer; Bruce Milliman; Jennifer Booker; Robert Mootz; James Barassi; Janet R Kahn; Ted J Kaptchuk; David M Eisenberg Journal: J Am Board Fam Pract Date: 2002 Nov-Dec
Authors: Iris R Bell; Opher Caspi; Gary E R Schwartz; Kathryn L Grant; Tracy W Gaudet; David Rychener; Victoria Maizes; Andrew Weil Journal: Arch Intern Med Date: 2002-01-28
Authors: Daniel C Cherkin; Richard A Deyo; Karen J Sherman; L Gary Hart; Janet H Street; Andrea Hrbek; Elaine Cramer; Bruce Milliman; Jennifer Booker; Robert Mootz; James Barassi; Janet R Kahn; Ted J Kaptchuk; David M Eisenberg Journal: J Am Board Fam Pract Date: 2002 Sep-Oct
Authors: Wan Najbah Nik Nabil; Wenyu Zhou; Johannah Linda Shergis; Suzi Mansu; Charlie Changli Xue; Anthony Lin Zhang Journal: Chin Med Date: 2015-11-02 Impact factor: 5.455