Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Arch Phys Med Rehabil. 2022 Jun 9;103(9):1883–1884. doi: 10.1016/j.apmr.2022.04.017

Precision Rehabilitation: Optimizing Function, Adding Value to Health Care

R James Cotton 1, Richard L Segal (Rick) 2,3,4,5, Bryant A Seamon 6,7, Amrita Sahu 8, Michelle M McLeod 9,10, Randal D Davis 11,12, Sharon Landesman Ramey 13,14
PMCID: PMC9979846  NIHMSID: NIHMS1872658  PMID: 35690092

To the editor,—

We commend French et al1 on their excellent timely contribution to the evolving field of precision medicine with a strong focus on functional real-world outcomes. In June 2021 our National Institutes of Health Medical Rehabilitation Research Resource Network hosted a Precision Rehabilitation conference that endorsed many topics well delineated by French et al. Among these are the need for greater standardization and precision in measuring function, more frequent and longitudinal assessments, use of more varied study designs and heterogeneous patient populations, and strategic use of technology advances (electronic health records, wearable devices). Their emphasis on prediction, innovation in big-data analytical approaches, and collaborative team science is commendable but seriously limited by omitting 3 salient topics from the retreat and subsequent discussions: (1) the value of patients as active collaborators, (2) the potential high effect of genomics and biomarkers, and (3) the need for a unifying transdisciplinary framework to guide research and practice. We write this letter to stimulate further dialogue and inspire innovation.

French et al accurately argue that precision rehabilitation progress will require intentional collaboration among stakeholders, including clinicians, researchers, information technology experts, training programs, and funding organizations. Because the goal of precision rehabilitation is to identify the right treatment(s), the right dosage(s), and right time(s) to maximize function and quality of life, patients must be recognized as essential stakeholders.2,3 Patients uniquely can identify personally meaningful functional improvements, novel ideas about treatment approaches, and strategies to recruit and retain representative patient samples. Additionally, engaging patients as partners in precision rehabilitation is particularly compelling because many treatments occur over extended periods and rely on active patient participation.

Excluding genetics from a vision of precision rehabilitation is a missed opportunity. Genomics drove the launch of precision medicine and notable successes in cancer.4 In rehabilitation, for example, Heitz et al5 discovered that higher polygenic dopamine gene scores, but not other brain-derived neurotrophic factor genes, predicted greater treatment-induced functional gains for children with hemiparesis. Such discoveries can increase understanding of individual differences in treatment responsivity and brain plasticity. Systematically studying gene X treatment interactions across the lifespan can illuminate mechanisms to guide developing novel treatments, especially with respect to the International Classification of Functioning, Disability, and Health model.6 Closely related, monitoring biomarkers (eg, more precise characterization of functional and structural central nervous system changes) is vital to advance precision rehabilitation.

Above all, precision rehabilitation lacks a unifying conceptual framework sufficiently detailed to guide precision rehabilitation research and incorporate new findings. Ideally, this framework will build on other precision medicine frameworks while adding the distinctive emphasis on functional, long-term, and patient-identified outcomes. Constructs missing from earlier frameworks include the effect of context, barriers, and facilitators to treatment that vary across heterogeneous patient groups and mechanisms to foster shared understanding among patients and/or advocates, scientists, clinicians, and health care systems. Thus, we advance the proposition that a precision rehabilitation conceptual framework—widely embraced and applied—will accelerate major discoveries; transcend longstanding silos defined by patient conditions, age groups, and rehabilitation subspecialties; and facilitate wide-spread equitable implementation of findings with high fidelity, active monitoring, patient engagement, and cost/time efficiencies.

Acknowledgments

The MR3 Network is supported by the National Institutes of Health through the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Center for Complementary and Integrative Health, National Institute of Biomedical Imaging and Bioengineering, the National Institute on Deafness and Other Communication Disorders, the National Institute of Neurological Disorders and Stroke, and the National Institute of Nursing Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

Disclosures: Dr Amrita Sahu has applied for the following patent: “Methods and Materials for Reducing Age-Related Striated Muscle and Cognitive Decline” European Patent Application No.: 19886864.8; Hong Kong Standard Patent Application No.: 62022049970.6.

Contributor Information

R. James Cotton, Department of Physical Medicine and Rehabilitation, Northwestern University, Shirley Ryan AbilityLab, Chicago, Illinois.

Richard L. Segal (Rick), Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina; Department of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina; National Center of Neuromodulation for Rehabilitation, Medical University of South Carolina, Charleston, South Carolina; NIH/NICHD/NCMRR Medical Rehabilitation Research Resource Network National Coordinating Center, Charleston, South Carolina.

Bryant A. Seamon, Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina; Department of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina.

Amrita Sahu, Department of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pennsylvania.

Michelle M. McLeod, National Center of Neuromodulation for Rehabilitation (NC NM4R); Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina.

Randal D. Davis, Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina; National Center of Neuromodulation for Rehabilitation, Medical University of South Carolina, Charleston, South Carolina.

Sharon Landesman Ramey, Fralin Biomedical Research Institute, Virginia Tech, Roanoke, Virginia; VTC School of Medicine, Roanoke, Virginia.

References

  • 1.French MA, et al. Precision rehabilitation: optimizing function, adding value to health care. Arch Phys Med Rehabil 2022;103:1233–9. [DOI] [PubMed] [Google Scholar]
  • 2.White GW, Suchowierska M, Campbell M. Developing and systematically implementing participatory action research. Arch Phys Med Rehabil 2004;85:3–12. [DOI] [PubMed] [Google Scholar]
  • 3.Watson KS, Cohn EG, Fair A, et al. Adapting a conceptual framework to engage diverse stakeholders in genomic/precision medicine research. Health Expect 2022. Mar 30. [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ginsburg GS, Penny M, Feero WG, Miller M, Addie S, Beachy SH. The National Academies’ roundtable on genomics and precision health: where we have been and where we are heading. Am J Hum Genet 2021;108:1817–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Diaz Heijtz R, Almeida R, Eliasson AC, Forssberg H. Genetic variation in the dopamine system influences intervention outcome in children with cerebral palsy. EBioMedicine 2018;28:162–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shields RK, Dudley-Javoroski S. Epigenetics and the International Classification of Functioning, Disability and Health model: bridging nature, nurture, and patient-centered population health. Phys Ther 2022;102:1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES