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Record W3046901038 · doi:10.1093/ptj/pzaa142

Six Lessons for COVID-19 Rehabilitation From HIV Rehabilitation

2020· article· en· W3046901038 on OpenAlexaffabout
Darren A. Brown, Kelly K. O’Brien, Jo Josh, Stephanie Nixon, Jill Hanass‐Hancock, MaryLou Galantino, Hellen Myezwa, Soula Fillipas, Colm Bergin, Larry Baxter, Mark Binette, Verusia Chetty, Saul Cobbing, Colin Corbett, Francisco Ibáñez-Carrasco, David M. Kietrys, Ronel Roos, Patricia Solomon, Richard Harding

Bibliographic record

VenuePhysical Therapy · 2020
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsMcMaster UniversityToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsRehabilitationCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakHuman immunodeficiency virus (HIV)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicinePhysical medicine and rehabilitationPhysical therapyVirologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Novel coronavirus disease 2019 (COVID-19) is a pandemic comparable with human immunodeficiency virus (HIV) in many ways. It is an infection with no known vaccine or cure and no licensed treatments early in the pandemic,1 presents with diverse functional problems amplified by other health conditions and aging,2,3 and disproportionately affects key and vulnerable populations.1,4 COVID-19 is increasing the burden of disease and disability and will continue to do so.5 Rehabilitation has played and will continue to play a vital role in case management.6 Although the long-term consequences of COVID-19 remain largely unknown, evidence from the HIV experience could inform the evolving practice of COVID-19 rehabilitation. Rehabilitation is a fundamental health service within universal health coverage and enables greater participation in education, employment, and community life, with far-reaching health, social, and economic benefits.7 The field of HIV, disability, and rehabilitation has taken ground-breaking strides to advance practice, education, and research.8 We outline 6 key lessons from HIV rehabilitation for consideration to inform COVID-19 rehabilitation. The episodic disability framework (EDF) highlights how people living with HIV can experience multidimensional and episodic disability, characterized by unpredictable periods of wellness, illness, and loss of functioning.9 The EDF describes disability experienced by people living with HIV, has cross-cultural applicability,10 and is relevant to other chronic health conditions.3 COVID-19 is a respiratory viral disease with multi-organ involvement resulting in potentially temporary and episodic health challenges such as impaired lung function, physical deconditioning, cognitive impairments, impaired swallow and communication, and mental health disorders.2 The multidimensional sequelae of COVID-19 may present a heterogeneous cluster of unpredictable, prolonged, and relapsing symptoms11–13 requiring inter-professional rehabilitation.14 Attending to the multidimensional, episodic, and unpredictable nature of disability defined within the EDF can be used to better understand the dimensions of COVID-19–related disability that people experience and the contextual factors that might exacerbate or alleviate dimensions of disability and can help inform areas in which to focus interventions or service provision efforts to address disability over time. Uncertainty refers to the extent to which an individual worries about potential episodes of illness they might experience, the severity and potential outcomes of an illness, and the impact of worrying about future health on life decisions such as employment and personal relationships.15 Uncertainty, defined within the EDF and measured with the HIV Disability Questionnaire,16 is the most present and severe disability dimension experienced by samples of people living with HIV in Canada, Ireland, the United States, and the United Kingdom.17 Uncertainty is at the center of disability experiences directly influencing symptoms, daily activities, and social participation15 and can also contribute to stigma.18 Comparable with HIV, COVID-19 may be accompanied by fear, isolation, stigma, unknown long-term consequences, and uncertainty, affecting experiences of employment, community participation, and quality of life.19,20 It will be important for clinicians and communities to consider uncertainty and its impact on mental health, function, and social inclusion for people affected by COVID-19. Acknowledging uncertainty in the context of COVID-19 may improve capacity for self-management and improve outcomes.21 Perceived focus on the biomedical, pharmacological, and impairment-oriented approaches to HIV pose challenges to individuals who face widespread barriers in accessing health services.23 The global response to COVID-19 would benefit from a disability and rehabilitation lens to reduce disparities and preserve the worldwide commitment to universal health coverage, inclusive of rehabilitation. Prepare for the long-term impact of COVID-19 on key and vulnerable populations to help prevent inequality, stigma, and unintended social consequences, making every effort to leave no one behind.4,22 The Canada-International HIV and Rehabilitation Research Collaborative8 is a research network comprised of community, academic, and clinical stakeholders to promote knowledge transfer and exchange, establish and strengthen multi-stakeholder partnerships, and establish coordinated responses for identifying and addressing priorities in an emerging field. The Canada-International HIV and Rehabilitation Research Collaborative has bridged partnerships among professions dealing with HIV and other health conditions to inform clinical practice and research.24 Establishing international research networks in COVID-19 rehabilitation could help translate knowledge from initial epicenters to mitigate impacts in emergent regions and help foster community partnerships that may cultivate mechanisms to raise the profile of, and evidence for, COVID-19 rehabilitation. The Greater Involvement of People Living with HIV is a guiding principle that calls for the active and meaningful participation of people living with and affected by HIV in the inception, development, implementation, monitoring, and evaluation of policies and programs.25 Greater Involvement of People Living with HIV is a rights-based approach that acknowledges the universal rights of people living with HIV to self-determination and participation in decisions that affect their lives. In the Global North, the EDF and HIV Disability Questionnaire were derived in collaboration with, and from the experiences of, people living with HIV.9,16 In the Global South, community and academic partnerships push for integration of rehabilitation into HIV care.26 Similarly, the experiences of people with disabilities are utilized to advocate for accessible HIV prevention, treatment, and care.26 It will be equally fundamental to include and meaningfully engage people diagnosed with, affected by, and recovering from COVID-19 to enhance the quality and effectiveness of the COVID-19 response, including rehabilitation. Research, practice, education, and policy stakeholders must ensure that optimal function and quality of life are included across all responses to COVID-19, as has been a goal for responding to HIV. Evidence suggests that rehabilitation is fundamental in the context of communicable viral disease presenting with systemic health challenges.2,27 Lessons from HIV rehabilitation could expedite a community-engaged rehabilitation response to COVID-19, the identification or development of disability measurement tools reflecting experiences of people with COVID-19, and the sharing of information about appropriate service planning and delivery. Concept/idea/research design: D.A. Brown, K.K. O'Brien, J. Josh, S.A. Nixon, J. Hanass-Hancock, M.L. Galantino, H. Myezwa, S. Fillipas, C. Bergin, L. Baxter, M.Binnette, V. Chetty, S. Cobbing, C. Corbett, F. Ibanez-Carrasco, D.M. Kietrys, R. Roos, P. Solomon, R. Harding Writing: D.A. Brown, K.K. O'Brien, J. Josh, S.A. Nixon, J. Hanass-Hancock, M.L. Galantino, H. Myezwa, S. Fillipas, C. Bergin, L. Baxter, M. Binnette, V. Chetty, S. Cobbing, C. Corbett, F. Ibanez-Carrasco, D.M. Kietrys, R. Roos, P. Solomon, R. Harding Project management: D. Brown Consultation (including review of manuscript before submitting): D.A. Brown, K.K. O'Brien, J. Josh, S.A. Nixon, J. Hanass-Hancock, M.L. Galantino, H. Myezwa, S. Fillipas, C. Bergin, L. Baxter, M.Binnette, V. Chetty, S. Cobbing, C. Corbett, F. Ibanez-Carrasco, D.M. Kietrys, R. Roos, P. Solomon, R. Harding All of the authors have contributed substantially to conceptualization, writing, and final draft review of this manuscript. No funding was sourced for this manuscript. The authors completed the ICMJE Form for Disclosure of Potential Conflicts of Interest and reported no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.376
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations24
Published2020
Admission routes2
Has abstractyes

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