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Record W3208635957 · doi:10.1093/pch/pxab061.070

88 Family Absence at the Bedside during the COVID-19 Pandemic

2021· article· en· W3208635957 on OpenAlexaff
Blossom Dharmaraj, Catherine Diskin, Julia Orkin, Tanvi Agarwal, Arpita Parmar, Karima Karmali, Jeremy Friedman

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsThematic analysisMedicinePandemicFamily medicineFamily centered careHealth careDistressGeneral partnershipNursingCoronavirus disease 2019 (COVID-19)Qualitative researchDisease

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Hospital Paediatrics Background Child and family-centered care, a partnership approach to health care decision-making, is central to paediatric practice. To reduce transmission of SARS-CoV-2, healthcare institutions implemented policies to protect staff, patients and families. Family presence at the bedside was reduced to one caregiver, except in special circumstances requiring pre-approval by hospital leadership. Objectives We explored the impact of the COVID-19 pandemic on paediatric healthcare delivery, focusing on family presence. We describe the clinician's experience of restricted family presence during the COVID-19 pandemic in a paediatric hospital. Design/Methods Physicians, trainees, and nurses at The Hospital for Sick Children completed surveys between March-August 2020 to identify patients they perceived to have experienced a suboptimal quality of care or health-outcome related to changes that had occurred as a result of the pandemic and describe the impact. Data were analyzed via case report and thematic analysis. As part of a larger study, here we report on cases related to family presence in the hospital. Results A total of 212 clinicians reported 116 cases; eighteen cases specified an impact on child and family-centered care. Nine cases related to patient experiences and nine to family experiences of the restricted family presence policy. Clinicians reported a perceived distress in patients due to family members not being present. 6267 family restriction exemption requests were received. Cases described families who opted for a different location for end-of-life care so that extended family could be present. Further cases highlighted how important conversations such as disclosure of diagnosis involved one parent present and the other joining remotely. Siblings were also reported to be impacted by visitor restrictions and closure of the sibling play area. Exclusions were also reported to be challenging for children with complex medical needs and technology dependency whereby two-caregivers were often required. Clinicians reported experiencing stress and moral distress as part of being required to support family restriction policies, impairing their ability to provide care. Conclusion Family presence policies are a critical component of child and family-centered care and have been impacted by the pandemic as described both by family and clinician stress. Recommendations based on these findings would include: facilitating two-caregiver presence to support shared decision making, regular remote meetings to communicate information with families in cases where they cannot be physically present; using remote technology or implementing allotted visitation time for siblings, reviewing exceptions to caregiver restrictions, and mental health supports for clinicians such as peer-support groups, or wellness workshops.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.096
GPT teacher head0.385
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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