Evidence map›Paper›PMID 26212406›Full record

Observational studyArchives of physical medicine and rehabilitation2015

Traumatic Brain Injury Patient, Injury, Therapy, and Ancillary Treatments Associated With Outcomes at Discharge and 9 Months Postdischarge.

Susan D Horn, John D Corrigan, Cynthia L Beaulieu, Jennifer Bogner, Ryan S Barrett, Clare G Giuffrida, David K Ryser, Kelli Cooper, Deborah M Carroll, Daniel Deutscher

Abstract readObservational Study
In one paragraph

Observational study in Archives of physical medicine and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Traumatic Brain Injury Rehabilitation Outcome Prediction Using Machine Learning Methods.Archives of rehabilitation research and clinical translation · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Cerebral Palsy Research Network Clinical Registry: Methodology and Baseline Report.Archives of rehabilitation research and clinical translation · 2020
    Article
  10. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Susan D HornInstitute for Clinical Outcomes Research, International Severity Information Systems, Salt Lake City, UT. Electronic address: susan.horn@hsc.utah.edu.
John D CorriganDepartment of Physical Medicine and Rehabilitation, Ohio State University, Columbus, OH.
Cynthia L BeaulieuBrooks Rehabilitation Hospital, Jacksonville, FL.
Jennifer BognerDepartment of Physical Medicine and Rehabilitation, Ohio State University, Columbus, OH.
Ryan S BarrettInstitute for Clinical Outcomes Research, International Severity Information Systems, Salt Lake City, UT.
Clare G GiuffridaRush University Medical Center, Chicago, IL.
David K RyserNeuro Specialty Rehabilitation Unit, Intermountain Medical Center, Salt Lake City, UT.
Kelli CooperNeuro Specialty Rehabilitation Unit, Intermountain Medical Center, Salt Lake City, UT.
Deborah M CarrollNeuro Specialty Rehabilitation Unit, Intermountain Medical Center, Salt Lake City, UT.
Daniel DeutscherMaccabi Healthcare Services, Tel Aviv, Israel.

Funding

Improving Outcomes in Acute Rehabilitation for TBIR01HD050439 · NICHD · INTERNATIONAL SEVERITY INFO SYSTEMS,INC. · PI HORN, SUSAN D · 2007 to 2011
$3.3M
NICHD NIH HHS R01 HD050439
6 · The paper itself

Abstract

objectiveTo examine associations of patient and injury characteristics, inpatient rehabilitation therapy activities, and neurotropic medications with outcomes at discharge and 9 months postdischarge for patients with traumatic brain injury (TBI).

designProspective, longitudinal observational study.

settingInpatient rehabilitation centers.

participantsConsecutive patients (N=2130) enrolled between 2008 and 2011, admitted for inpatient rehabilitation after an index TBI injury.

interventionsNot applicable.

main outcome measuresRehabilitation length of stay, discharge to home, and FIM at discharge and 9 months postdischarge.

resultsThe admission FIM cognitive score was used to create 5 relatively homogeneous subgroups for subsequent analysis of treatment outcomes. Within each subgroup, significant associations were found between outcomes and patient and injury characteristics, time spent in therapy activities, and medications used. Patient and injury characteristics explained on average 35.7% of the variation in discharge outcomes and 22.3% in 9-month outcomes. Adding time spent and level of effort in therapy activities and percentage of stay using specific medications explained approximately 20% more variation for discharge outcomes and 12.9% for 9-month outcomes. After patient, injury, and treatment characteristics were used to predict outcomes, center differences added only approximately 1.9% additional variance explained.

conclusionsAt discharge, greater effort during therapy sessions, time spent in more complex therapy activities, and use of specific medications were associated with better outcomes for patients in all admission FIM cognitive subgroups. At 9 months postdischarge, similar but less pervasive associations were observed for therapy activities, but not classes of medications. Further research is warranted to examine more specific combinations of therapy activities and medications that are associated with better outcomes.

Indexed as

AdultBrain InjuriesCanadaEvidence-Based PracticeFemaleFollow-Up StudiesHumansLength of StayLongitudinal StudiesMaleOutcome Assessment, Health CarePatient DischargePhysical Therapy ModalitiesProspective StudiesRecovery of FunctionRehabilitation CentersBrain injuriesCraniocerebral traumaOutcome assessment (health care)Rehabilitation

Identifiers

PMID26212406
PMCPMC4517296

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.