Model structure for protocol adherence utilizing a manualized therapeutic massage intervention

Abstract

Background The Protocol Training and Assessment Model (Model) was developed through collaboration between Emory University School of Medicine and Atlanta School of Massage to minimize intra- and inter-therapist variability for two research massage therapist (rMT) applied intervention arms in the Massage for Cancer-Related Fatigue (MCRF) early-phase study. The Model was followed to maintain and assess protocol integrity for the study’s manualized Swedish massage therapy (SMT) and light touch (LT) interventions. Methods The Model includes initial rMT training, quarterly retraining sessions, accessible resources (scripts, treatment guides, weekly research personnel meetings), and ongoing monitoring. Model efficacy was assessed by monitoring data collected at retraining sessions, through audio recording review, and through subject and rMT reporting. Results Model application resulted in a high level of intervention consistency throughout the study. Protocol-related session comment rate by subjects was 2.7%. Few study participants reported intra-rMT or inter-rMT treatment delivery differences. Observation during retraining sessions indicated massage therapists continued to adhere to protocols. Importantly rMTs increased their participation beyond core duties, suggesting additional ways to standardize subject treatment experience. Conclusions Through systematic application of the Protocol Training and Assessment Model, continuous and collaborative quality improvement discussions between scientists and research massage therapists resulted in reliable, standardized SMT and LT interventions for the MCRF early-phase study. Future research can apply the Model to support and assess consistent rMT-delivered intervention applications.

Fidelity to the acupuncture intervention protocol in the ACUpuncture In The EmergencY department for pain management (ACUITY) trial: Expanding the gold standard of STRICTA and CONSORT guidelines

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