Evidence map›Paper›PMID 23752110›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2013

Patient preference and contraindications in measuring quality of care: what do administrative data miss?

Joan J Ryoo, Diana L Ordin, Anna Liza M Antonio, Sabine M Oishi, Michael K Gould, Steven M Asch, Jennifer L Malin

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

7 authors.

Joan J RyooAdministration Greater Los Angeles Healthcare System, West Los Angeles, CA, USA. joan.j.ryoo@kp.org
Diana L Ordin
Anna Liza M Antonio
Sabine M Oishi
Michael K Gould
Steven M Asch
Jennifer L Malin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrior studies report that half of patients with lung cancer do not receive guideline-concordant care. With data from a national Veterans Health Administration (VHA) study on quality of care, we sought to determine what proportion of patients refused or had a contraindication to recommended lung cancer therapy. PATIENTS AND

methodsThrough medical record abstraction, we evaluated adherence to six quality indicators addressing lung cancer-directed therapy for patients diagnosed within the VHA during 2007 and calculated the proportion of patients receiving, refusing, or having contraindications to recommended treatment.

resultsMean age of the predominantly male population was 67.7 years (standard deviation, 9.4 years), and 15% were black. Adherence to quality indicators ranged from 81% for adjuvant chemotherapy to 98% for curative resection; however, many patients met quality indicator criteria without actually receiving recommended therapy by having a refusal (0% to 14%) or contraindication (1% to 30%) documented. Less than 1% of patients refused palliative chemotherapy. Black patients were more likely to refuse or bear a contraindication to surgery even when controlling for comorbidity; race was not associated with refusals or contraindications to other treatments.

conclusionRefusals and contraindications are common and may account for previously demonstrated low rates of recommended lung cancer therapy performance at the VHA. Racial disparities in treatment may be explained, in part, by such factors. These results sound a cautionary note for quality measurement that depends on data that do not reflect patient preference or contraindications in conditions where such considerations are important.

Indexed as

Patient PreferenceAgedAged, 80 and overData CollectionFemaleHumansLung NeoplasmsMaleMiddle AgedQuality ImprovementQuality Indicators, Health Care

Identifiers

PMID23752110
PMCPMC3709057

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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.