Evidence map›Paper›PMID 34035095›Full record

ArticleBMJ open2021

Modelling palliative and end-of-life resource requirements during COVID-19: implications for quality care.

Daniel Chalk, Sara Robbins, Rohan Kandasamy, Kate Rush, Ajay Aggarwal, Richard Sullivan, Charlotte Chamberlain

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 7 institutions in 1 country.

Daniel ChalkNIHR Applied Research Collaboration for the South West Peninsula (PenARC), University of Exeter Medical School, Exeter, UK d.chalk@exeter.ac.uk.ORCID 0000-0002-4165-4364
Sara RobbinsDepartment of Supportive and Palliative Care, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, Bristol, UK.
Rohan KandasamyDepartment of Neuro Rehabilitation, North Bristol NHS Trust, Westbury on Trym, Bristol, UK.
Kate RushSirona Care and Health CIC, Kingswood, South Gloucestershire, UK.
Ajay AggarwalDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Richard SullivanInstitute of Cancer Policy, King's College London, London, UK.
Charlotte ChamberlainDepartment of Population Health Sciences, University of Bristol, Bristol, UK.
Gloucestershire Health and Care NHS Foundation Trust · GBKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBNorth Bristol NHS Trust · GBUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Bristol · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe WHO estimates that the COVID-19 pandemic has led to more than 1.3 million deaths (1 377 395) globally (as of November 2020). This surge in death necessitates identification of resource needs and relies on modelling resource and understanding anticipated surges in demand. Our aim was to develop a generic computer model that could estimate resources required for end-of-life (EoL) care delivery during the pandemic.

settingA discrete event simulation model was developed and used to estimate resourcing needs for a geographical area in the South West of England. While our analysis focused on the UK setting, the model is flexible to changes in demand and setting.

participantsWe used the model to estimate resourcing needs for a population of around 1 million people. PRIMARY AND SECONDARY OUTCOME MEASURES: The model predicts the per-day 'staff' and 'stuff' resourcing required to meet a given level of incoming EoL care activity.

resultsA mean of 11.97 hours of additional community nurse time, up to 33 hours of care assistant time and up to 30 hours additional care from care assistant night sits will be required per day as a result of out of hospital COVID-19 deaths based on the model prediction. Specialist palliative care demand is predicted to increase up to 19 hours per day. An additional 286 anticipatory medicine bundles per month will be necessary to alleviate physical symptoms at the EoL care for patients with COVID-19: an average additional 10.21 bundles of anticipatory medication per day. An average additional 9.35 syringe pumps could be needed to be in use per day.

conclusionsThe analysis for a large region in the South West of England shows the significant additional physical and human resource required to relieve suffering at the EoL as part of a pandemic response.

Indexed as

COVID-19PandemicsDeathEnglandHumansPalliative CareSARS-CoV-2adult palliative careCOVID-19palliative care

Identifiers

PMID34035095
PMCPMC8154294
OpenAlexW3165733539

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.