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Main Outcome Measures:

Muscle tone (AS) in upper and lower ex-

tremities, Functional Independence Measure (FIM), pain, and safety

were assessed after 6 months of treatment.

Results:

Mean (SD) AS in the affected lower limbs decreased by 0.99

(0.75) in the ITB group compared to 0.43 (0.72) in the CMM patients

(P

<

.05). Decrease of AS in upper extremities was 0.66 (0.59) versus

0.17 (0.70) in ITB and CMM groups, respectively (P

<

.05). FIM improved

in the ITB group by 2.68 (10.31) compared to a worsening in CMM arm

-2.58 (11.00) (P

¼

.054). In addition, ITB patients reported reduction in

actual, least and worst pain. Difference in the change from baseline to

month 6 between ITB and CMM was statistically significant in least and

actual pain (P

<

.05). Seven serious adverse drug reactions (SADR,

constipation, fecal impaction, epilepsy, peripheral edema, hypoten-

sion, 2 urinary retention) and 4 serious device reactions (device

dislocation, infection, catheter occlusion, intracranial hypotension)

were observed in the implanted patients (24% and 16% of patients,

respectively) versus 1 SADR (epilepsy) in the CMM group (3%). All

serious events related to the device or drug were treated and resolved.

Conclusions:

This is the first RCT clinical evidence showing superior

efficacy of ITB therapy compared to conventional oral medication in

decreasing post-stroke spasticity.

Level of Evidence:

Level I

CATEGORY: PRACTICE MANAGEMENT & LEADERSHIP

Poster 463:

The Effect of Patient Satisfaction Surveys on Physician Practice

Patterns

Joshua H. Levin, MD (Stanford University, Palo Alto, CA, United

States), David J. Kennedy, MD, Ryan Mattie, MD, Matthew Lungren,

MD MPH

Disclosures:

Joshua Levin: I Have No Relevant Financial Relationships

To Disclose

Objective:

To evaluate if patient satisfaction surveys affect the way

that physicians practice.

Design:

Survey.

Setting:

Internet based.

Participants:

Members of the Spine Intervention Society.

Interventions:

Not applicable.

Main Outcome Measures:

Voluntary physician responses to survey

questions.

Results:

74% of physicians use patient satisfaction surveys, and 14%

have an income affected by them. 32% of physicians agreed that the

surveys improve patient care, while 41% disagreed. 10% of physicians

agreed that the surveys should be used as a factor in determining a

physician’s compensation, while 75% disagreed. If a poor score would

negatively affect physicians’ incomes: 54% would refuse to accept a

new patient into his/her practice if he/she suspected the patient

might give a poor score, while 43% would discontinue the care of a

current patient; 41% would order more imaging test; 32% would

perform more invasive procedures; 31% would order more laboratory

tests; 29% would prescribe more pain medications; 27% would approve

unjustified disability paperwork; 19% would not tell an unsafe driver to

stop driving, while 15% would not report this driver to the DMV; 11%

would prescribe more antibiotics. 38% of respondents are aware of

practitioners who purposefully manipulate the system.

Conclusions:

The findings of this multi-specialty physician practice

survey suggest that routine implementation of patient satisfaction

surveys may affect the way that physicians practice medicine, and in

some circumstances lead to inappropriate care or denial of health care

services. This unintended practitioner behavior may be amplified

further when satisfaction scores are tied to physician compensation.

More thorough study is undoubtedly needed before patient satisfac-

tions scores can be used as a reliable metric in health care systems.

Level of Evidence:

Level V

CATEGORY: NEUROLOGICAL REHABILITATION

Poster 465:

Predicting Long-Term Global Outcome after

Traumatic Brain Injury (TBI): Development of a Practical

Prognostic Tool using the TBI Model Systems National Database

William C. Walker, MD (Virginia Commonwealth University, Richmond,

VA, United States), Katharine A. Stromberg, BS, Jennifer H. Marwitz,

MA, Adam P. Sima, PhD, Amma A. Agyemang, PhD, Kristin M. Graham,

PhD, CRC, Jeffrey S. Kreutzer, PhD

Disclosures:

William Walker: Research Grants - NIH R21 grant to VCU

supported this research

Objective:

Build decision tree tools to predict long-term functional

outcomes after moderate-severe closed TBI and test their accuracy in

an independent sample.

Design:

Cross-sectional analyses using flexible classification tree meth-

odology within the TBI-Model Systems (TBIMS) National Database (NDB).

Setting:

Enrollments occurred at 17 designated TBIMS inpatient

rehabilitation facilities. Follow-up assessments were conducted pri-

marily by telephone.

Participants:

All TBIMS NDB participants (adults with moderate or

severe TBI per eligibility criteria) injured between Jan 1997

e

Jan 2017

with closed TBI. Time point exclusions were death, vegetative state,

insufficient post-injury time, and unavailable outcomes. Analysis

sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5).

Interventions:

Not applicable; Candidate predictors included de-

mographic, premorbid socioeconomic, and injury characteristics.

Main Outcome Measures:

Glasgow Outcome Scale (GOS) functional

levels at 1-, 2-, and 5-year post-injury.

Results:

The sample was 72.5% male, 9% Hispanic, and 20.9% minority

races withmedian injury age 39.0 years. In our built GOS prediction trees,

posttraumatic amnesia (PTA) duration consistently dominated branching

hierarchy, and was the lone injury variable to contribute. Lower order

variables contributing to the trees were limited to age, premorbid edu-

cation, productivity, and occupational category. Generally, patients

spending fewer days in PTA and who were younger, pre-morbidly more

productive, and more highly educated had better outcomes. Across all

prognostic groups, the best and worst Good Recovery rates were 65.7%

and 10.9% respectively, and the best and worst Severe Disability rates

were 3.9% and 64.1%. Predictability in test datasets ranged from C-sta-

tistic of 0.691 (year-1; CI: 0.675, 0.711) to 0.731 (year-2; CI: 0.724, 0.738).

Conclusions:

We developed an easy-to-use decision tree tool to provide

prognostic information on long-term functional outcomes in patients

with moderate-severe closed TBI, and demonstrated predictive accu-

racy in an independent test sample. Length of PTA, a clinical marker of

injury severity, was by far the most critical outcome determinant.

Level of Evidence:

Level II

CATEGORY: NEUROLOGICAL REHABILITATION

Poster 466:

Prospective Determination of Clinical Neurologic

Level of Injury with Early MRI Following Blunt Traumatic Spinal

Cord Injury

Lisa U. Pascual, MD, FAAPMR (Orthopaedic Trauma Inst, San Francisco,

CA, United States), J. Russell Huie, PhD, William D. Whetstone, MD,

Sanjay S. Dhall, MD, Geoffrey T. Manley, MD, PhD,

Jacqueline C. Bresnahan, PhD, Michael S. Beattie, PhD, Vineeta Singh,

MD, Adam R. Ferguson, PhD, Rachel E. Tsolinas, BA, Jason F. Talbott,

MD, PhD

Disclosures:

Lisa Pascual: I Have No Relevant Financial Relationships

To Disclose

S280

Abstracts / PM R 9 (2017) S131-S290