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Implementing music therapy through telehealth: considerations for military populations

VAUDREUIL, Rebecca
LANGSTON, Diane G
MAGEE, Wendy L
BETTS, Donna
KASS, Sara
LEVY, Charles
2020

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Purpose

Telehealth provides psychotherapeutic interventions and psychoeducation for remote populations with limited access to in-person behavioural health and/or rehabilitation treatment. The United States Department of Défense and the Veterans Health Administration use telehealth to deliver primary care, medication management, and services including physical, occupational, and speech-language therapies for service members, veterans, and eligible dependents. While creative arts therapies are included in telehealth programming, the existing evidence base focuses on art therapy and dance/movement therapy, with a paucity of information on music therapy.

 

Methods

Discussion of didactic and applied music experiences, clinical, ethical, and technological considerations, and research pertaining to music therapy telehealth addresses this gap through presentation of three case examples. These programmes highlight music therapy telehealth with military-connected populations on a continuum of clinical and community engagement: 1) collaboration between Berklee College of Music in Boston, MA and the Acoke Rural Development Initiative in Lira, Uganda; 2) the Semper Sound Cyber Health programme in San Diego, CA; and 3) the integration of music therapy telehealth into Creative Forces®, an initiative of the National Endowment for the Arts.

 

Results

These examples illustrate that participants were found to positively respond to music therapy and community music engagement through telehealth, and reported decrease in pain, anxiety, and depression; they endorsed that telehealth was not a deterrent to continued music engagement, requested continued music therapy telehealth sessions, and recommended it to their peers.

 

Conclusions

Knowledge gaps and evolving models of creative arts therapies telehealth for military-connected populations are elucidated, with emphasis on clinical and ethical considerations.

Mobility Analysis of AmpuTees (MAAT 4): classification tree analysis for probability of lower limb prosthesis user functional potential

WURDEMAN, Shane R
STEVENS, Phillip M
CAMPBELL, James H
2019

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Purpose: 

To develop a predictive model to inform the probability of lower limb prosthesis users’ functional potential for ambulation.

 

Materials and Methods: 

A retrospective analysis of a database of outcomes for 2770 lower limb prosthesis users was used to inform a classification and regression tree analysis. Gender, age, height, weight, body mass index adjusted for amputation, amputation level, cause of amputation, comorbid health status and functional mobility score [Prosthetic Limb Users Survey of Mobility (PLUS-M™)] were entered as potential predictive variables. Patient K-Level was used to assign dependent variable status as unlimited community ambulator (i.e., K3 or K4) or limited community/household ambulator (i.e., K1 or K2). The classification tree was initially trained from 20% of the sample and subsequently tested with the remaining sample.

 

Results: 

A classification tree was successfully developed, able to accurately classify 87.4% of individuals within the model’s training group (standard error 1.4%), and 81.6% within the model’s testing group (standard error 0.82%). Age, PLUS-M™ T-score, cause of amputation and body weight were retained within the tree logic.

 

Conclusions: 

The resultant classification tree has the ability to provide members of the clinical care team with predictive probabilities of a patient’s functional potential to help assist care decisions.

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