Evidence map›Paper›PMID 31732589›Full record

ArticleClinical medicine (London, England)2019

Scaling up perioperative medicine for older people undergoing surgery (POPS) services; use of a logic model approach.

Emily V Jasper, Jugdeep K Dhesi, Judith Sl Partridge, Nick Sevdalis

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Emily V JasperGuy's and St Thomas' NHS Foundation Trust, London, UK emily.jasper@gstt.nhs.uk.
Jugdeep K DhesiGuy's and St Thomas' NHS Foundation Trust, London, UK, honorary reader, Faculty of Life Sciences and Medicine, King's College London, London, UK and honorary associate professor, Division of Surgery & Interventional Science, University College London, London, UK.
Judith Sl PartridgeGuy's and St Thomas' NHS Foundation Trust, London, UK and honorary senior lecturer, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Nick SevdalisCentre for Implementation Science, King's College London, London, UK.
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity College London · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perioperative medicine for older people undergoing surgery (POPS) services are gaining traction, in acknowledgment of the poorer outcomes experienced by older surgical patients. In response to the NHS' growing focus on scaling innovation, a logic model of the POPS service at Guy's and St Thomas' NHS Foundation Trust was developed to articulate a founding centre's experience. The logic model was applied as a means of service evaluation and to guide implementation of a new POPS service at a district general trust. This is a novel study within the field of perioperative medicine for older people, interlinking implementation science theory to achieve meaningful clinical results and describe the lessons learnt during the process. Future work will include validation of this logic model to facilitate national POPS scale-up.

Indexed as

Models, OrganizationalPerioperative MedicineAgedDelivery of Health CareHumansLogicNational Health ProgramsQuality of Health Caregeriatric surgical liaisonimplementation sciencelogic modelolder peoplePerioperative medicine

Identifiers

PMID31732589
PMCPMC6899246
OpenAlexW2984835365

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.