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Record W4312128524 · doi:10.15391/prrht.2022-7(4).26

Effectiveness of physical therapy of a person with a hemorrhagic stroke during the recovery period: a clinical case

2022· article· en· W4312128524 on OpenAlexaboutno aff
Lyudmila Kletsenko, Lesia Klevaka, Yevgenia Vyshar, A. A. Levkov

Bibliographic record

VenuePhysical rehabilitation and recreational health technologies · 2022
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyStroke (engine)MedicineFunctional Independence MeasurePhysical medicine and rehabilitationBerg Balance ScaleRehabilitationAphasiaTest (biology)PsychologyPsychiatry

Abstract

fetched live from OpenAlex

Purpose: to scientifically substantiate and develop a program of physical therapy for a patient after a hemorrhagic stroke (during the recovery period) and check its effectiveness. Material & Methods: the study was conducted on the basis of the "Skalyansky Clinic" Medical Center. The organization of the study involved conducting a comparative analysis of the dynamics of indicators obtained with the help of clinical tools for assessing the patient’s functional state in the process of applying the author’s physical therapy program. A 71-year-old patient with a diagnosis of "Acute cerebrovascular hemorrhagic disorder: subarachnoid-parenchymal hemorrhage with the formation of a stroke-hematoma of the left temporal-subcortical area of the brain with breakthrough into the ventricular system with right-sided hemiplegia, sensorimotor aphasia" by a multidisciplinary team (doctor, physical therapist, speech therapist and psychologist) an individual program of physical therapy was developed. In order to evaluate the effectiveness of the experimental methodology, a formative experiment was conducted. Clinical tools for assessing the functional state of the patient during the research were domains in the form of the ICF-core-set tool (a set of ICF basic categories) (ICF Research Branch, 2022) for complex stroke: Lovett’s test, Barthel scale, Gait Velocity (GV) tests and Berg Balance scale (BBS), Montreal Scale of Cognitive Assessment (MoCA), Get Up and Go Tests, Trunk Control Test, Functional Independence Measure (FIM). The developed individual program of physical therapy for hemorrhagic stroke in the recovery period is a comprehensive course of physical therapy, occupational therapy, which is carried out in stages and includes the following components: therapeutic gymnastics classes; electrical stimulation of the shoulder, psychological (psychological counseling, psychological support, developmental classes for the recovery of cognitive impairments) and speech therapy (speech therapy gymnastics, articulation exercises, Su-Jok (massage ball and ring) component. After applying the specified author’s individual physical therapy program, qualitatively positive changes in the functional and psychophysical state of the patient, in particular: b7301.4 to b7301.2; d550.2 to d550.1; d510.3 to d510.2; d520.3 to d520.2; d540.3 to d540. 2; d598.3 to d598.2; d4100.3 to d4100.2; d450.3 to d450.2; d469.4 to d469.3; d330.3 to d330.1; d355.3 to d355.3; d998.3 to d998.2. Results: after applying the author’s program of physical therapy, we found qualitatively positive changes in the functional and psychophysical state of the patient, as evidenced by the positive dynamics of the studied indicators. The psychological and speech therapy work carried out contributed to the improvement in the process of restoring the patient’s cognitive functions (from moderate to mild impairment), stabilization of his emotional state, acquisition of stress resistance skills, harmonization of the patient’s system of relationships with himself, Conclusions: the effectiveness of using the author’s individual program of physical therapy is confirmed by the dynamics of qualitatively positive changes in the functional and psychophysical state of the patient.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.341
Teacher spread0.321 · 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 designObservational
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".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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