Patient-Centered Framework for Rehabilitation Research in Outpatient Settings

Conducting high-quality clinical research is dependent on merging scientific rigor with the clinical environment. This is often a complex endeavor that may include numerous barriers and competing interests. Overcoming these challenges and successfully integrating clinical research programs into clinical practice settings serving rehabilitation outpatients is beneficial from both a logistical perspective (eg, supports efficient and successful research procedures) and the establishment of a truly patient-centered research approach. Leveraging our experience with navigating this research-clinical care relationship, this article (1) proposes the Patient-Centered Framework for Rehabilitation Research, a model for integrating patient-centered research in an outpatient clinical setting that incorporates a collaborative, team-based model encompassing patient-centered values, as well as strategies for recruitment and retention, with a focus on populations living with disabilities or chronic diseases; (2) describes application of this framework in a comprehensive specialty multiple sclerosis center with both general strategies and specific examples to guide adaptation and implementation in other settings; and (3) discusses the effect of the framework as a model in 1 center, as well as the need for additional investigation and adaptation for other populations. The 5 interconnected principles incorporated in the Framework and which prioritize patient-centeredness include identifying shared values, partnering with the clinical setting, engaging with the population, building relationships with individuals, and designing accessible procedures. The Patient-Centered Framework for Rehabilitation Research is a model presented as an adaptable roadmap to guide researchers in hopes of not only improving individual patients’ experiences but also the quality and relevance of rehabilitation research as a whole. Future investigation is needed to test the Framework in other settings.     

Selecting patients for early interdisciplinary rehabilitation during neurointensive care after moderate to severe traumatic brain injury

Background

Early interdisciplinary rehabilitation (EIR) in neurointensive care is a limited resource reserved for patients with moderate to severe traumatic brain injury (TBI) believed to profit from treatment. We evaluated how key parameters related to injury severity and patient characteristics were predictive of receiving EIR, and whether these parameters changed over time.

Methods

Among 1003 adult patients with moderate to severe TBI admitted over 72 h to neurointensive care unit during four time periods between 2005 and 2020, EIR was given to 578 and standard care to 425 patients. Ten selection criteria thought to best represent injury severity and patient benefit were evaluated (Glasgow Coma Scale, Head Abbreviated Injury Scale, New-Injury-Severity-Scale, intracranial pressure monitoring, neurosurgery, age, employment, Charlson Comorbidity Index, severe psychiatric disease, and chronic substance abuse).

Results

In multivariate regression analysis, patients who were employed (adjOR 1.99 [95% CI 1.41, 2.80]), had no/mild comorbidity (adjOR 3.15 [95% CI 1.72, 5.79]), needed neurosurgery, had increasing injury severity and were admitted by increasing time period were more likely to receive EIR, whereas receiving EIR was less likely with increasing age (adjOR 0.97 [95% CI 0.96, 0.98]) and chronic substance abuse. Overall predictive ability of the model was 71%. Median age and comorbidity increased while employment decreased from 2005 to 2020, indicating patient selection became less restrictive with time.

Conclusion

Injury severity and need for neurosurgery remain important predictors for receiving EIR, but the importance of age, employment, and comorbidity have changed over time. Moderate prediction accuracy using current clinical criteria suggest unrecognized factors are important for patient selection.     

Machine learning to predict myocardial injury and death after non-cardiac surgery

Myocardial injury due to ischaemia within 30 days of non-cardiac surgery is prognostically relevant. We aimed to determine the discrimination, calibration, accuracy, sensitivity and specificity of single-layer and multiple-layer neural networks for myocardial injury and death within 30 postoperative days. We analysed data from 24,589 participants in the Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation study. Validation was performed on a randomly selected subset of the study population. Discrimination for myocardial injury by single-layer vs. multiple-layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.70 (0.69–0.72) vs. 0.71 (0.70–0.73) with variables available before surgical referral, p < 0.001; 0.73 (0.72–0.75) vs. 0.75 (0.74–0.76) with additional variables available on admission, but before surgery, p < 0.001; and 0.76 (0.75–0.77) vs. 0.77 (0.76–0.78) with the addition of subsequent variables, p < 0.001. Discrimination for death by single-layer vs. multiple-layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.71 (0.66–0.76) vs. 0.74 (0.71–0.77) with variables available before surgical referral, p = 0.04; 0.78 (0.73–0.82) vs. 0.83 (0.79–0.86) with additional variables available on admission but before surgery, p = 0.01; and 0.87 (0.83–0.89) vs. 0.87 (0.85–0.90) with the addition of subsequent variables, p = 0.52. The accuracy of the multiple-layer model for myocardial injury and death with all variables was 70% and 89%, respectively.     

A scoping review of the working alliance in acquired brain injury rehabilitation

Purpose: The aim was to review the empirical literature to determine the nature and breadth of research into the working alliance in acquired brain injury (ABI) rehabilitation.

Methods: A scoping review was conducted, beginning with a systematic search of relevant databases using key search terms. Studies with a focus on the role of the working alliance in shaping rehabilitation outcomes, and factors influencing perceptions of the working alliance were included and key information extracted.

Results: A total of 10 quantitative studies met inclusion criteria. In most studies, ratings of the working alliance were compared with other process variables or outcome measures. The working alliance was linked to positive activity and participation outcomes, including return to work, school, and driving. Client related factors such as age, level of education and approach to rehabilitation tasks were associated with client and therapist perceptions of the working alliance.

Conclusions: The working alliance emerged as a complex process that interacts with many factors and processes at play in the rehabilitation environment. Notwithstanding the limitations of the research base, findings indicate that enhancement of the working alliance may indeed influence rehabilitation outcomes. Allowing time for the development of the working alliance, and consideration of factors such as therapist skill, may support therapists to strengthen their alliances in ABI rehabilitation.

• Implications for Rehabilitation

• Allowing time for the development of the working alliance has the potential to enhance the alliance and thereby influence rehabilitation outcomes.

• Factors such as the client’s age and level of education may influence the strength of the working alliance, and hence, awareness of these factors may assist clinicians in maintaining strong alliances with all clients.

• A strong working alliance is possible in the presence of client cognitive impairment, however, the skill of the therapist may be important in managing the potential impact of cognitive impairment on the working alliance.

     

The effects of locomotor training in children with spinal cord injury: a systematic review

Purpose: Discuss the effectiveness of locomotor training (LT) in children following spinal cord injury (SCI). This intervention was assessed following an exhaustive search of the literature using the Preferred Reporting Items for Systematic Reviews and Meta- Analyses: The PRISMA Statement as a guideline.

Method: Six databases were searched including PubMed, PEDro, CINAHL, Cochrane, PsycINFO, and Web of Knowledge in January 2016 and November 2016, without date restrictions. Inclusion criteria were: studies in English and peer-reviewed and journal articles with a primary intervention of LT in children following SCI.

Results: Twelve articles, reporting eleven studies, were included. A systematic review assessing locomotor training in children with SCI published in April 2016 was also included. Participants were ages 15 months to 18 years old. Forms of LT included body-weight supported treadmill or over ground training, functional electrical stimulation, robotics, and virtual reality. Protocols differed in set-up and delivery mode, with improvements seen in ambulation for all 41 participants following LT.

Conclusion: Children might benefit from LT to develop or restore ambulation following SCI. Age, completeness, and level of injury remain the most important prognostic factors to consider with this intervention. Additional benefits include improved bowel/ bladder management and control, bone density, cardiovascular endurance, and overall quality of life. Looking beyond the effects LT has just on ambulation is crucial because it can offer benefits to all children sustaining a SCI, even if restoration or development of walking is not the primary goal. Further rigorous research is required to determine the overall effectiveness of LT.     

Selective reminding of prospective memory in Multiple Sclerosis

Objective: Multiple sclerosis (MS) is associated with prospective memory (PM) deficits, which may increase the risk of poor functional/health outcomes such as medication non-adherence. This study examined the potential benefits of selective reminding to enhance PM functioning in persons with MS.

Method: Twenty-one participants with MS and 22 healthy adults (HA) underwent a neuropsychological battery including a Selective Reminding PM (SRPM) experimental procedure. Participants were randomly assigned to either: (1) a selective reminding condition in which participants learn (to criterion) eight prospective memory tasks in a Selective Reminding format; or (2) a single trial encoding condition (1T).

Results: A significant interaction was demonstrated, with MS participants receiving greater benefit than HAs from the SR procedure in terms of PM performance. Across diagnostic groups, participants in the SR conditions (vs. 1T conditions) demonstrated significantly better PM performance. Individuals with MS were impaired relative to HAs in the 1T condition, but performance was statistically comparable in the SR condition.

Conclusions: This preliminary study suggests that selective reminding can be used to enhance PM cue detection and retrieval in MS. The extent to which selective reminding of PM is effective in naturalistic settings and for health-related behaviours in MS remains to be determined.