Article: Cross-sectional survey analysis of institutional research partnerships in complementary and integrative health: identifying barriers and facilitators

Image
Description
Article co-written by Northwestern Health Sciences University faculty member Dale Healey. It was published in the Journal of Integrative and Complementary Medicine and the abstract was made available online by MaryAnn Liebers, Inc. Publishers.
Abstract

Objective: 
Collaboration between complementary and integrative health (CIH) institutions and research-intensive (R1) institutions has been successfully undertaken in the United States, resulting in federally funded research projects, educational programs, and faculty development. The aim of this cross-sectional survey study was to explore the barriers and facilitators to establishing and maintaining such collaborative partnerships.

Methods: A 32-question survey was sent to participants recruited through author contacts and resources, literature review, and database searches. Participants were required to be researchers and affiliates who attempted, completed, or had current collaborative endeavors involving CIH and R1 institutions. Data were collected in the research electronic data capture (REDCap) system and descriptive quantitative and qualitative data analysis was undertaken.

Results: A total of 26 unique entries were included in the final data analysis; four of which were paired entries (one from an R1 institution and one from a CIH institution) to make up two dyad data collections. Eighty-one percent of the participants had senior leadership roles at CIH institutions representing five CIH disciplines—East Asian medicine (acupuncture and Traditional Chinese Medicine), chiropractic medicine, massage therapy, naturopathy, and yoga. Collaborative research projects were often (>38%) in response to specific project funding mechanisms. Over 60% of the collaborations also included educational activities and faculty development. Collaborations resulted in multiple different types of benefits to both institutions but were not without associated challenges.

Conclusion: Collaborations between R1 and CIH institutions can be cooperative, productive, and mutually beneficial. Funding mechanisms supporting R1 and CIH collaboration increase CIH research productivity as well as the development of innovative research methodology to study the real-world practice of CIH therapies, whole systems, and whole person health. CIH researchers would greatly benefit from such funding, allowing access to research infrastructure, professional development, and the provision of protected time to conduct research.

Article: The development of a prospective data collection process in a Traditional Chinese Medicine teaching clinic

Image
Description
Article co-written by Michele Maiers, Northwestern Health Sciences University Executive Director of Research and Innovation. The article was published in the Journal of Alternative and Complementary Medicine, Volume 15, Number 3; 2009; pp. 305-320.
Abstract

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.