Evidence map›Paper›PMID 36473151›Full record

ArticleJCO oncology practice2023

Clinical Multiteam System Composition and Complexity Among Newly Diagnosed Early-Stage Breast, Colorectal, and Lung Cancer Patients With Multiple Chronic Conditions: A SEER-Medicare Analysis.

Michelle Doose, Dana Verhoeven, Janeth I Sanchez, Jennifer K McGee-Avila, Veronica Chollette, Sallie J Weaver

Open access · greenAbstract read
In one paragraph

Article in JCO oncology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 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

6 authors at 2 institutions in 1 country.

Michelle DooseDivision of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, Bethesda, MD.ORCID 0000-0002-5300-8562
Dana VerhoevenHealth Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.ORCID 0000-0003-0888-3146
Janeth I SanchezHealth Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.ORCID 0000-0002-8069-2363
Jennifer K McGee-AvilaHealth Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.ORCID 0000-0002-0425-015X
Veronica CholletteHealth Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.ORCID 0000-0002-8355-7474
Sallie J WeaverHealth Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.ORCID 0000-0002-5859-7669
National Cancer Institute · USNational Institute on Minority Health and Health Disparities · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSixty percent of adults have multiple chronic conditions at cancer diagnosis. These patients may require a multidisciplinary clinical team-of-teams, or a multiteam system (MTS), of high-complexity involving multiple specialists and primary care, who, ideally, coordinate clinical responsibilities, share information, and align clinical decisions to ensure comprehensive care needs are managed. However, insights examining MTS composition and complexity among individuals with cancer and comorbidities at diagnosis using US population-level data are limited.

methodsUsing SEER-Medicare data (2006-2016), we identified newly diagnosed patients with breast, colorectal, or lung cancer who had a codiagnosis of cardiopulmonary disease and/or diabetes (n = 75,201). Zaccaro's theory-based classification of MTSs was used to categorize clinical MTS complexity in the 4 months following cancer diagnosis: high-complexity (≥ 4 clinicians from ≥ 2 specialties) and low-complexity (1-3 clinicians from 1-2 specialties). We describe the proportions of patients with different MTS compositions and quantify the incidence of high-complexity MTS care by patient groups.

resultsThe most common MTS composition was oncology with primary care (37%). Half (50.3%) received high-complexity MTS care. The incidence of high-complexity MTS care for non-Hispanic Black and Hispanic patients with cancer was 6.7% (95% CI, -8.0 to -5.3) and 4.7% (95% CI, -6.3 to -3.0) lower than non-Hispanic White patients with cancer; 13.1% (95% CI, -14.1 to -12.2) lower for rural residents compared with urban; 10.4% (95% CI, -11.2 to -9.5) lower for dual Medicaid-Medicare beneficiaries compared with Medicare-only; and 16.6% (95% CI, -17.5 to -15.8) lower for colorectal compared with breast cancer.

conclusionIncidence differences of high-complexity MTS care were observed among cancer patients with multiple chronic conditions from underserved populations. The results highlight the need to further understand the effects of and mechanisms through which care team composition, complexity, and functioning affect care quality and outcomes.

Indexed as

Breast NeoplasmsColorectal NeoplasmsLung NeoplasmsMultiple Chronic ConditionsAdultAgedFemaleHumansMedicareUnited States

Identifiers

PMID36473151
PMCPMC10166428
OpenAlexW4311658404

What OpenQuestion holds

Textmetadata
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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.