MétaCan
Menu
Back to cohort
Record W3108100137 · doi:10.3822/ijtmb.v13i4.535

Practice-Based Research Networks and Massage Therapy: a Scoping Review

2020· review· en· W3108100137 on OpenAlexvenueno aff
Samantha Zabel, Niki Munk

Bibliographic record

VenueInternational Journal of Therapeutic Massage & Bodywork Research Education & Practice · 2020
Typereview
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLMassageMedicineAlternative medicineMedical educationInclusion (mineral)MEDLINENursingPsychologyPathologyPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Practice-based research networks (PBRNs) are means to connect practitioners with researchers and increase the body of rigorous research. PBRNs have been used in medicine for decades, but efforts to create PBRNs in massage therapy (MT) are limited. PURPOSE: Examine and describe the amount of and nature of MT-related publications derived from PBRN-supported endeavors. PUBLICATION SELECTION: Databases: Scopus, CINAHL, PubMed, ClinicalKey, EMBASE, Google Scholar. Keywords: massage, massage therapy, practice-based research network, PBRN. Key items: publication year, operating PBRN, article type, study design, general theme, massage therapist involvement/MT application. Inclusion Criteria: studies conducted through a PBRN using MT/massage therapists as an investigated factor; articles/editorials focused on PBRN-related MT research. RESULTS: Initial database search resulted in 444 records; 40 articles included in analysis from database search, PBRN website access, and PBRN staff contacts. Publication dates ranged from 2005 to 2019, with nearly all published since 2013. Nine PBRNs published 29 articles based on 20 studies and sub-studies as research papers (n=21) or poster/oral presentation abstracts (n=8), and articles discussing the need for PBRNs in MT (n=8). Most research studies were conducted as surveys (n=21), examining practice characteristics (n=9) and patient perspectives/utilization (n=7). Three articles discussing PBRNs in MT were not connected to any specific PBRN. CONCLUSION: The PBRN model holds promise to further the field of MT, but implementation needs significant development. Promoting the creation and growth of massage-specific PBRNs should be a focus of professional associations and research institutions to expand the body of scientific evidence supporting MT. While the United States has had the most PBRN-related research efforts, a sustainable implementation model is not evident as highlighted by inactivity from US-based PBRNs after initial productivity. An Australian PBRN may serve as a needed sustainability model for massage-related PBRNs in the US if their productivity trajectory continues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.074
metaresearch head score (Gemma)0.254
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.254
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0360.045
Science and technology studies0.0030.004
Scholarly communication0.0120.015
Open science0.0030.006
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.614
GPT teacher head0.694
Teacher spread0.080 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainMethods
GenreReview

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".

Quick stats

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Therapeutic Massage & Bodywork Research Education & PracticeSame topicHealth Sciences Research and EducationFrench-language works237,207