A model for making outcomes research standard practice in clinical dietetics

J Am Diet Assoc. 1998 Apr;98(4):451-7. doi: 10.1016/S0002-8223(98)00102-3.

Abstract

In today's rapidly changing health care environment, it is imperative that dietitians demonstrate the importance of their role as health care providers by initiating and participating in outcomes research. Patient care should be based on empirical studies, and clinical dietitians should participate in or be at the helm of such investigations. Nutrition research is usually accomplished and reported by persons with MD or PhD degrees who do not have clinical training in nutrition and does not often address situations encountered by dietitians in clinical settings. This article examines the extent to which clinical dietitians are conducting and reporting outcomes research, their attitudes about such research, and how they think they could best acquire the skills needed to incorporate outcomes research into their practice. Results indicate that clinical dietitians are not writing a substantial percentage of articles and that reports of outcomes research are not commonly included in clinical nutrition journals. Clinical dietitians appear to value the inclusion of research in clinical practice, but they are not spending a great amount of time doing research. Dietitians report being comfortable about participating in research but not about designing, conducting, and reporting research. Results from several surveys were used to develop a model for integrating research in clinical practice. This model includes the research process as a basis for clinical practice. A model for collaborative efforts between clinical and academic dietitians is also proposed and emphasizes the responsibility of academic dietetics training programs in the integration of research and clinical practice.

MeSH terms

  • Attitude of Health Personnel
  • Bibliometrics
  • Dietetics / standards*
  • Dietetics / statistics & numerical data
  • Humans
  • Models, Theoretical
  • Outcome Assessment, Health Care* / statistics & numerical data
  • Software Design
  • United States