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Record W4401025249 · doi:10.1016/j.iccn.2024.103773

Nursing strategies to mitigate separation between hospitalized acute and critical care patients and families: A scoping review

2024· review· en· W4401025249 on OpenAlexaff
Sonja J. Meiers, Véronique de Goumoëns, Lorraine M. Thirsk, Kristen Abbott‐Anderson, Petra Brysiewicz, Sandra Eggenberger, Mary Heitschmidt, Blanche Kiszio, Natalie S. McAndrew, Aspen Morman, Sandra Richardson

Bibliographic record

VenueIntensive and Critical Care Nursing · 2024
Typereview
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsAthabasca University
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Separation (statistics)NursingAcute carePandemicIntensive care medicineCritical care nursing2019-20 coronavirus outbreakHealth careInternal medicineDiseaseVirology

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the nursing strategies used to mitigate the impact of forced separation between hospitalized acute and critical care patients and their families during the COVID-19 pandemic. RESEARCH METHODOLOGY/DESIGN: A scoping review was performed in accordance with JBI methodology. SETTINGS: Those acute and critical care areas in which sudden, often unexpected, emergent episodes of illness or injury were treated. MAIN OUTCOME MEASURES: Articles written in English and French between March 2020 and September 2023 in Medline, CINAHL Complete, APA PsycInfo, Embase and the Cochrane COVID-19 study register databases that met our inclusion criteria were included. Gray literature included dissertations, theses and Base Bielefeld Academic Search Engines. RESULTS: Among the 1,357 articles screened, 46 met the criteria for inclusion. Most of the articles were published in North America. Adult critical care units were the most frequently reported settings, followed by neonatal intensive care units. The most frequently reported strategies were virtual telephone or video communications. A majority of the innovative strategies involved interprofessional collaboration at the unit level. Core components included the provision of relational nursing practices, virtual visits, tailored information, fostering relationships between family members, palliative care support regarding end of life, and general information about hospitalization and COVID-19. Pediatric care settings were more likely than adult care settings to accommodate physical visitation. CONCLUSION: Nurses used synchronous, episodic, and structured virtual interactions, either alone or as part of an interprofessional team, to mitigate separation between patients and families during the COVID-19 pandemic in acute and critical care settings. IMPLICATIONS FOR CLINICAL PRACTICE: Permanent policy changes are needed across acute and critical care settings to provide support for nurses in mitigating patient and family separation. We recommend that family members be considered as caregivers and care receivers, not visitors in patient and family-centered care in acute and critical care settings.

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)0.008
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.477
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.140
GPT teacher head0.545
Teacher spread0.404 · 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
GenreReview

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

Citations3
Published2024
Admission routes1
Has abstractyes

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