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Record W6887779392 · doi:10.17605/osf.io/j6h4r

Continuity of Care Interventions for People with Stroke and Caregivers: A Scoping Review Protocol

2023· other· en· W6887779392 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLPsychological interventionInclusion (mineral)Continuity of careProtocol (science)Stroke (engine)Qualitative researchMEDLINEInclusion and exclusion criteria

Abstract

fetched live from OpenAlex

Objective: The objective of this scoping review is to examine the current literature on continuity of care interventions that address the needs of people with stroke (PWS) and/or their caregivers as they transition. Introduction: Enhancing the continuity of care for people with stroke and their caregivers can contribute to improved quality of care. Continuity of care is coherent, connected, and consistent care provided based on a person’s needs and personal context. As the Canadian Stroke Best Practice Recommendations emphasize supporting PWS and caregivers through care transitions, it is important to understand current continuity of care interventions. To date, no reviews have identified the core components of these interventions specific to care transitions (e.g., acute care to rehab). Inclusion criteria: Peer-reviewed articles focused on continuity of care interventions for PWS and/or their caregivers in any geographical setting. Articles must examine transition from one location to another. Methods: We have searched on Ovid MEDLINE, (2) CINAHL Plus with Full Text, (3) PsycINFO, and (4) EMBASE from January 2000 to January 2023, restricting to articles published in English. We will include articles that meet key inclusion and exclusion criteria. We will extract data related to components of continuity of care interventions. We will synthesize the data using quantitative descriptive analysis and qualitative content analysis. Results will be further informed by a consultation exercise where we will discuss emerging themes and identify needs for future practice and research pertaining to stroke care. Reporting of results will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). 1. O’Callaghan, G, et al., BMC Health Serv. Res., 22(1), 1219-1221, 2022. 2. Haggerty, JL, et al., BMJ, 327(7425), 1219-1221, 2003. 3. Cameron, JI, et al., Int J Stroke, 11(7), 807-822, 2016 4. Mountain, A, et al., Int J Stroke, 15(7), 789-806, 2020

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.441
Teacher spread0.391 · 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.

Study designSystematic review
Domainnot available
GenreProtocol

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
Published2023
Admission routes1
Has abstractyes

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