Osteopathic manipulative treatment techniques preferred by contemporary osteopathic physicians

J Am Osteopath Assoc. 2003 May;103(5):219-24.

Abstract

Data presented in this study were gathered through a national mail survey of 3000 randomly selected osteopathic physicians. A total of 955 questionnaires were usable for analysis. Osteopathic physicians' likelihood of using eleven osteopathic manipulative treatment (OMT) techniques (articulatory, counterstrain, cranial, facilitated positional release, fascial ligamentous release, functional, high-velocity low-amplitude thrust, lymphatic, muscle energy, myofascial/integrated neuromuscular release, and soft tissue) was determined. The relative frequency of use from most (soft tissue) to least (cranial) used was also determined. Respondents were more likely to use direct techniques than indirect or direct-indirect techniques. Demographic variables of gender, age, and specialty training were found to be related to the techniques used most. Female osteopathic physicians and older osteopathic physicians were more likely to use indirect techniques, whereas male and younger physicians preferred direct techniques. Moreover, OMT specialists used a broader range of techniques than other osteopathic physicians, and family physicians were more apt to use high-velocity low-amplitude thrust than other primary care or non-primary care osteopathic physicians. These results not only have implications for curricular planning in all phases of osteopathic undergraduate medical education, graduate medical education, and continuing medical education programs, but also for research on the quality and effectiveness of various OMT techniques.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Attitude of Health Personnel*
  • Female
  • Humans
  • Male
  • Manipulation, Osteopathic / methods
  • Manipulation, Osteopathic / statistics & numerical data*
  • Middle Aged
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Sex Factors
  • Surveys and Questionnaires
  • United States