Evidence map›Paper›PMID 38355175›Full record

Observational studyBMJ open2024

Development of clinically meaningful quality indicators for contemporary lung cancer care, and piloting and evaluation in a retrospective cohort; experiences of the Embedding Research (and Evidence) in Cancer Healthcare (EnRICH) Program.

Bea Brown, Kirsty Galpin, John Simes, Michael Boyer, Chris Brown, Venessa Chin, Jane Young, Clinical Advisory Group

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Bea BrownNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia bea.brown@sydney.edu.au.ORCID 0000-0003-2851-1809
Kirsty GalpinNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia.
John SimesNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia.
Michael BoyerChris O'Brien Lifehouse, Camperdown, New South Wales, Australia.
Chris BrownNHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia.
Venessa ChinGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Jane YoungSchool of Public Health, The University of Sydney, Camperdown, New South Wales, Australia.
Clinical Advisory Group
The University of Sydney · AUChris O’Brien Lifehouse · AUGarvan Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLung cancer continues to be the most common cause of cancer-related death and the leading cause of morbidity and burden of disease across Australia. There is an ongoing need to identify and reduce unwarranted clinical variation that may contribute to these poor outcomes for patients with lung cancer. An Australian national strategy acknowledges clinical quality outcome data as a critical component of a continuously improving healthcare system but there is a need to ensure clinical quality indicators adequately measure evidence-based contemporary care, including novel and emerging treatments. This study aimed to develop a suite of lung cancer-specific, evidence-based, clinically acceptable quality indicators to measure quality of care and outcomes, and an associated comparative feedback dashboard to provide performance data to clinicians and hospital administrators.

designA multistage modified Delphi process was undertaken with a Clinical Advisory Group of multidisciplinary lung cancer specialists, with patient representation, to update and prioritise potential indicators of lung cancer care derived from a targeted review of published literature and reports from national and international lung cancer quality registries. Quality indicators were piloted and evaluated with multidisciplinary teams in a retrospective observational cohort study using clinical audit data from the Embedding Research (and Evidence) in Cancer Healthcare Program, a prospective clinical cohort of over 2000 patients with lung cancer diagnosed from May 2016 to October 2021. SETTING AND

participantsSix tertiary specialist cancer centres in metropolitan and regional New South Wales, Australia.

resultsFrom an initial 37 potential quality indicators, a final set of 10 indicators spanning diagnostic, treatment, quality of life and survival domains was agreed.

conclusionsThese indicators build on and update previously available measures of lung cancer care and outcomes in use by national and international lung cancer clinical quality registries which, to our knowledge, have not been recently updated to reflect the changing lung cancer treatment paradigm.

Indexed as

Lung NeoplasmsAustraliaDelivery of Health CareHumansProspective StudiesQuality Indicators, Health CareQuality of LifeRetrospective StudiesClinical auditPUBLIC HEALTHQuality in health careRespiratory tract tumours

Identifiers

PMID38355175
PMCPMC10868301
OpenAlexW4392571741

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.