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Record W7118018572 · doi:10.1097/rnj.0000000000000528

Nonpharmacologic Management of Orthostatic Hypotension in Inpatient Rehabilitation: A Quality Improvement Initiative

2025· article· en· W7118018572 on OpenAlexaff
Laura Steakin, Anthony Manfredo, Christine Wang, Demelio Urbano, Alexis Huesgen, Amy Voiland, Ilana Tuchman, Mackenzie Weber, Dorothy Wortham

Bibliographic record

VenueRehabilitation Nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsQuality managementOrthostatic vital signsMEDLINEStroke (engine)Ischemic stroke

Abstract

fetched live from OpenAlex

PROBLEM: Orthostatic hypotension (OH) prevents many patients with stroke from fully engaging in rehabilitation therapy, slowing progress during a key stage of poststroke recovery. AVAILABLE KNOWLEDGE: During inpatient rehabilitation, patients with ischemic stroke frequently experience OH, which can significantly limit participation in therapy. Conservative management of OH entails nonpharmacological measures like compression garments, physical countermeasures, and oral hydration. DESIGN: A multidisciplinary team (nursing, physicians, and therapists) developed a protocol for managing OH with nonpharmacological interventions based on a literature review. This protocol was specifically designed for patients recovering from ischemic stroke in an inpatient rehabilitation unit. STRATEGY: The protocol included the application of compression stockings, abdominal binders, increased oral fluid intake (water), and physical exercises to manage symptomatic OH. RESULTS: Fifteen of 22 episodes of OH were successfully managed with nonpharmacological interventions, allowing patients to engage in therapy. INTERPRETATION: This quality improvement initiative created a standardized, effective protocol for managing OH in patients with ischemic stroke that all members of the team could enact without physician input, minimized missed therapy sessions, and improved participation in rehabilitation.

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)0.000
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 score0.923
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.342
Teacher spread0.328 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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