A Descriptive Study of the Practice Patterns of Massage New Zealand Massage Therapists
Bibliographic record
Abstract
BACKGROUND: Massage therapy has grown in popularity, yet little is known globally or in New Zealand about massage therapists and their practices. PURPOSE AND SETTING: The aims of this study were to describe the practice patterns of trained Massage New Zealand massage therapists in New Zealand private practice, with regard to therapist characteristics; practice modes and settings, and therapy characteristics; referral patterns; and massage therapy as an occupation. RESEARCH DESIGN AND PARTICIPANTS: A survey questionnaire was mailed to 66 trained massage therapist members of Massage New Zealand who were recruiting massage clients for a concurrent study of massage therapy culture. RESULTS: Most massage therapists were women (83%), NZ European (76%), and holders of a massage diploma qualification (89%). Massage therapy was both a full- (58%) and part-time (42%) occupation, with the practice of massage therapy being the only source of employment for 70% of therapists. Nearly all therapists (94%) practiced massage for more than 40 weeks in the year, providing a median of 16 - 20 hours of direct client care per week. Most massage therapists worked in a "solo practice" (58%) and used a wide and active referral network. Almost all therapists treated musculoskeletal symptoms: the most common client issues or conditions treated were back pain/problem (99%), neck/shoulder pain/problem (99%), headache or migraine (99%), relaxation and stress reduction (96%), and regular recovery or maintenance massage (89%). The most frequent client fee per treatment was NZ$60 per hour in a clinic and NZ$1 per minute at a sports event or in the workplace. Therapeutic massage, relaxation massage, sports massage, and trigger-point therapy were the most common styles of massage therapy offered. Nearly all massage therapists (99%) undertook client assessment; 95% typically provided self-care recommendations; and 32% combined other complementary and alternative medicine therapies with their massage consultations. CONCLUSIONS: This study provides new information about the practice of massage therapy by trained massage therapists. It will help to inform the massage industry and other health care providers, potential funders, and policymakers about the provision of massage therapy in the NZ health care system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".