Evidence map›Paper›PMID 32129946›Full record

ReviewCancer medicine2020

Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.

Cheyenne M Corbett, Tamara J Somers, Christine M Nuñez, Catherine M Majestic, Rebecca A Shelby, Valarie C Worthy, Nadine J Barrett, Steven R Patierno

Abstract readReview
In one paragraph

Review in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

8 authors.

Cheyenne M CorbettDuke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
Tamara J SomersDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-8809-2979
Christine M NuñezDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-6957-1029
Catherine M MajesticDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Rebecca A ShelbyDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Valarie C WorthyDuke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
Nadine J BarrettDuke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
Steven R PatiernoDuke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community-based resources). This relatively new operational model for system-wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department-centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services-it is an opt out model. The multidisciplinary "cross-training" model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end-of-life care.

Indexed as

Interdisciplinary CommunicationModels, StatisticalQuality of Health CareContinuity of Patient CareHumansNeoplasmsPatient Navigationpatient navigation

Identifiers

PMID32129946
PMCPMC7196067

What OpenQuestion holds

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LicenceCC BY
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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.