| Literature DB >> 29769082 |
Kristin E Musselman1,2,3, Meeral Shah4, José Zariffa4,5,6.
Abstract
In the past, neurorehabilitation for individuals with neurological damage, such as spinal cord injury (SCI), was focused on learning compensatory movements to regain function. Presently, the focus of neurorehabilitation has shifted to functional neurorecovery, or the restoration of function through repetitive movement training of the affected limbs. Technologies, such as robotic devices and electrical stimulation, are being developed to facilitate repetitive motor training; however, their implementation into mainstream clinical practice has not been realized. In this commentary, we examined how current SCI rehabilitation research aligns with the potential for clinical implementation. We completed an environmental scan of studies in progress that investigate a physical intervention promoting functional neurorecovery. We identified emerging interventions among the SCI population, and evaluated the strengths and gaps of the current direction of SCI rehabilitation research. Seventy-three study postings were retrieved through website and database searching. Study objectives, outcome measures, participant characteristics and the mode(s) of intervention being studied were extracted from the postings. The FAME (Feasibility, Appropriateness, Meaningfulness, Effectiveness, Economic Evidence) Framework was used to evaluate the strengths and gaps of the research with respect to likelihood of clinical implementation. Strengths included aspects of Feasibility, as the research was practical, aspects of Appropriateness as the research aligned with current scientific literature on motor learning, and Effectiveness, as all trials aimed to evaluate the effect of an intervention on a clinical outcome. Aspects of Feasibility were also identified as a gap; with two thirds of the studies examining emerging technologies, the likelihood of successful clinical implementation was questionable. As the interventions being studied may not align with the preferences of clinicians and priorities of patients, the Appropriateness of these interventions for the current health care environment was questioned. Meaningfulness and Economic Evidence were also identified as gaps since few studies included measures reflecting the perceptions of the participants or economic factors, respectively. The identified gaps will likely impede the clinical uptake of many of the interventions currently being studied. Future research may lessen these gaps through a staged approach to the consideration of the FAME elements as novel interventions and technologies are developed, evaluated and implemented.Entities:
Keywords: Clinical implementation; Environmental scan; Rehabilitation; Spinal cord injury; Technology
Mesh:
Year: 2018 PMID: 29769082 PMCID: PMC5956557 DOI: 10.1186/s12984-018-0386-7
Source DB: PubMed Journal: J Neuroeng Rehabil ISSN: 1743-0003 Impact factor: 4.262
Study and participant characteristics
| Number of studies (% of sample ( | |
|---|---|
| Study status | |
| Not yet recruiting | 7 (10%) |
| Actively recruiting | 49 (67%) |
| Ongoing study, no longer recruiting | 10 (14%) |
| Data collection complete | 3 (4%) |
| Not specifieda | 4 (5%) |
| Participant Characteristics | |
| Injury Severity: | |
| Incomplete | 33 (45%) |
| Complete | 3 (4%) |
| Incomplete & complete | 9 (12%) |
| Not specified | 28 (39%) |
| Time Since Injuryb | |
| Chronic | 27 (37%) |
| Sub-acute | 7 (10%) |
| Chronic & sub-acute | 28 (38%) |
| Not specified | 11 (15%) |
aStudy status not reported, but published study results were not found
bChronic = ≥ 1 year post-injury; sub-acute = < 1 year post-injury
Intervention characteristics
| Number of studies (% of total ( | |
|---|---|
| Mode | |
| Electrical stimulation | 20 (27%) |
| Brain | 8 (11%) |
| tDCS | 2 (3%) |
| rTMS | 4 (5%) |
| DBS | 2 (3%) |
| Spinal Cord | 4 (5%) |
| Epidural | 4 (5%) |
| PNS (i.e. FES) | 8 (11%) |
| Surface FES for UE | 4 (5%) |
| Surface FES for UE and LE (cycling) | 1 (1%) |
| Implanted FES for LE | 2 (3%) |
| Implanted FES for trunk | 1 (1%) |
| Repetitive Movement Traininga | 16 (22%) |
| Overground gait training | 5 (7%) |
| “Locomotor training”b | 2 (3%) |
| BWSTT | 1 (1%) |
| TT in aquatic environment | 1 (1%) |
| Cycling | 1 (1%) |
| Dance/yoga | 1 (1%) |
| Balance exercises | 1 (1%) |
| Weight-bearing exercisesc | 2 (3%) |
| UE exercises | 2 (3%) |
| Robotics | 15 (21%) |
| LE exoskeleton | 9 (12%) |
| Lokomat | 3 (4%) |
| UE robotic device (1 brain-controlled) | 2 (3%) |
| LE & UE robotic device | 1 (1%) |
| Combination | 9 (12%) |
| Two types of stimulation (i.e. brain + SC or FES) | 6 (8%) |
| Robotics + stimulation (i.e. brain or SCI) | 3 (4%) |
| Intermittent Hypoxia | 6 (8%) |
| LE function | 5 (7%) |
| UE function | 1 (1%) |
| Virtual Reality | 5 (7%) |
| Walking/LE function | 3 (4%) |
| UE function & trunk (virtual sailing) | 1 (1%) |
| Not specified | 1 (1%) |
| Whole-body vibration (LE) | 1 (1%) |
| Low-level laser therapyd | 1 (1%) |
| Target Function | |
| LE | 46 (63%) |
| UE | 15 (22%) |
| Trunk (seated balance) | 1 (1%) |
| LE & UE | 10 (13%) |
| UE & trunk | 1 (1%) |
aWithout technology or therapeutic assistive devices
bDetails of locomotor training not specified
cSit-to-stand exercises in one study
dAim is to affect sensory and motor function. tDCS = transcranial direct current stimulation; rTMS = repetitive transcranial magnetic stimulation; DBS = deep brain stimulation; PNS = peripheral nerve stimulation; FES = functional electrical stimulation; LE = lower extremity; UE = upper extremity; BWSTT = body weight-supported treadmill training; TT = treadmill training; SC = spinal cord; SCI = spinal cord injury
Strengths and gaps
| FAME Element | |
|---|---|
| Feasibility | |
| Practical | + |
| Practicable | – |
| Appropriateness | |
| Institution | – |
| Clinician | – |
| Patient | – |
| Scientific Evidence | + |
| Meaningfulness | – |
| Effectiveness | + |
| Economic Evidence | – |
+ indicates a strength; − indicates a gap
Fig. 1A staged approach to the incorporation of FAME elements into the research of novel interventions and technologies. QALY = quality-adjusted-life-years