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Record W4362472441 · doi:10.1186/s12913-023-09248-3

Family caregivers as essential partners in care: examining the impacts of restrictive acute care visiting policies during the COVID-19 pandemic in Canada

2023· article· en· W4362472441 on OpenAlexafffundabout
Stephanie Montesanti, Gail MacKean, Kayla Fitzpatrick, Carol Fancott

Bibliographic record

VenueBMC Health Services Research · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsCARE CanadaUniversity of CalgaryUniversity of Alberta
FundersHealthcare Excellence Canada
KeywordsFamily caregiversMedicinePandemicNursingHealth careHealth administrationFamily medicineAnxietyDiversity (politics)Coronavirus disease 2019 (COVID-19)Public healthPsychiatryDiseasePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: During the pandemic many Canadian hospitals made significant changes to their 'open family presence' and 'visitor policies' to reduce the spread of COVID-19 by instituting restrictive or 'zero visiting' policies in healthcare facilities. These policies have the potential to create great hardship, anxiety and stress for patients, families, caregivers and frontline healthcare providers (HCPs); along with concerns about the quality and safety of patient care. The presence of family members and other caregivers as essential partners in care is an explicit expression of the philosophy of patient- and family-centred care (PFCC) in action. The purpose of this study is to increase our understanding of how changes to family presence and visiting policies and practices during the COVID-19 pandemic have impacted patients, family caregivers and frontline healthcare providers (HCPs) in acute care hospitals. METHODS: A total of 38 in-depth semi-structured interviews were conducted with patients, family caregivers and HCPs in Canadian provinces who had experience with visiting policies in acute care settings during the pandemic. COVID patients, and the caregivers of COVID patients, were excluded from this study. A maximum variation sampling strategy was used to guide the selection and recruitment of patients, family caregivers and HCPs, based on our interest in gaining a diversity of perspectives and experiences. RESULTS: Many patients, family caregivers, and HCPs view family caregiver presence as integral to PFCC, describing the essential roles played by family caregivers prior to the pandemic. There were commonalities across all three groups with respect to their perspectives on the impacts of restrictive visiting policies on patients, family caregivers and HCPs. They fell into four broad integrated categories: (1) emotional and mental health; (2) communication and advocacy; (3) safety and quality of care; and (4) PFCC, trust in the healthcare system, and future decisions regarding accessing needed healthcare. Recommendations for pandemic visiting policies were also identified. CONCLUSIONS: The findings from this study highlighted several impacts of restrictive family caregiver presence or visiting policies implemented during COVID-19 on patients, family caregivers and HCPs in acute healthcare settings across Canada. Participants emphasized that there is no "one-size-fits-all" caregiver presence policy that will address all patient needs. To be consistent with the practice of PFCC, patients and family caregivers are welcomed as part of the healthcare team in ways that work for them, demonstrating that flexibility in family presence and visiting policies is essential.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.709

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0200.005
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.162
GPT teacher head0.502
Teacher spread0.340 · 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 designQualitative
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

Citations24
Published2023
Admission routes3
Has abstractyes

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