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P-67 Community palliative care response to support care home residents and staff during the COVID-19 pandemic

2021· article· en· W3208282045 on OpenAlexaboutno aff
Joy Ross, Helen King

Bibliographic record

VenuePoster presentations · 2021
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePalliative carePandemicFeelingFamily medicineReferralQuarter (Canadian coin)NursingPsychologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

<h3>Aim</h3> To review our response to support residents and staff in Bromley Care Homes during the COVID-19 pandemic (April 2020–March 2021), reflect on our learning, joint working with colleagues and identify good practice to inform future models of care. <h3>Methods</h3> We collated clinical activity data and key case reviews of care home patients referred to our service over the year. Contemporaneous notes from formal/informal reflections and debriefs (internal and joint with GPs/CCG/other professionals) were reviewed. Themes from feedback of care home staff and managers (ad hoc and formal focus groups) were included with personal reflections. <h3>Results</h3> 345 patients were referred from 32 care homes. The majority (45%) in Quarter 1 (first wave), 14% in both Q2/Q3 and 27% in Q4 (second wave). Median age 89(53-110) with 69% &gt;85 years; two-thirds female. 80% had a non-malignant primary diagnosis. Just over half died within the year; median time referral-to-death 17(0-229) days, 81(23%) remained on the caseload April 2021. Key themes in Q1 included: limited effectiveness of virtual assessments, atypical patient presentations, significant impact of social isolation on mental health/function, with families unable to advocate and inconsistent messaging about visiting rights. Care home staff were distressed, burnt out, feeling unsupported. In Q2/Q3 regular GSF meetings with care home-GPs, virtual teaching (webinars/ECHO) and staff ‘cascade project’ study days helped consolidate learning. The second wave was heralded by an outbreak in extra-care housing; care home-GPs were self-isolating. We led urgent senior clinical review and response. In Q4, daily COVID-19 monitoring meetings were key (representation from CCG, Public Health, Pharmacy, CH-GPs and St Christopher’s). Over a month, successive outbreaks were identified and resources coordinated to ensure clear advance care plans, timely review, targeted multiprofessional support to care home staff. Learning from each setting informed changes to approach in the next, including: understanding culture, correcting/enhancing infection control procedures, improved shared decision making and addressing hydration. <h3>Conclusion</h3> Senior clinical leadership, cross-boundary flexible working and willingness to learn together were vital.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.214
GPT teacher head0.478
Teacher spread0.265 · 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
Published2021
Admission routes1
Has abstractyes

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