Evidence map›Paper›PMID 36940391›Full record

ReviewJCO oncology practice2023

The Colocation Model in Community Cancer Care: A Description of Patient Clinical and Demographic Attributes and Referral Pathways.

Leah S Stockman, Daniel A Gundersen, Ajami Gikandi, Ruth N Akindele, Ludmila Svoboda, Sarah Pohl, Mark R Drews, Christopher S Lathan

Open access · hybridAbstract readReview
In one paragraph

Review 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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 1 institution in 1 country.

Leah S StockmanDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-2186-0822
Daniel A GundersenDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-2543-9231
Ajami GikandiDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Ruth N AkindeleDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Ludmila SvobodaDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Sarah PohlDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-2043-3324
Mark R DrewsCharles River Community Health, Waltham, MA.
Christopher S LathanDivision of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Dana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer disparities are well documented among Black, Indigenous, and People of Color, yet little is known about the characteristics of programs that serve these populations. Integrating specialized cancer care services within community settings is important for addressing the needs of historically marginalized populations. Our National Cancer Institute-Designated Cancer Center initiated a clinical outreach program incorporating cancer diagnostic services and patient navigation within a Federally Qualified Health Center (FQHC) to expedite evaluation and resolution of potential cancer diagnoses with the goal of collaboration between oncology specialists and primary care providers in a historically marginalized community in Boston, MA. MATERIALS AND

methodsSociodemographic and clinical characteristics were analyzed from patients who were referred to the program for cancer-related care between January 2012 and July 2018.

resultsThe majority of patients self-identified as Black (non-Hispanic) followed by Hispanic (Black and White). Twenty-two percent of patients had a cancer diagnosis. Treatment and surveillance plans were established for those with and without cancer at a median time to diagnostic resolution of 12 and 28 days, respectively. The majority of patients presented with comorbid health conditions. There was a high prevalence of self-reported financial distress among patients seeking care through this program.

conclusionThese findings highlight the wide spectrum of cancer care concerns in historically marginalized communities. This review of the program suggests that integrating cancer evaluation services within community-based primary health care settings offers promise for enhancing the coordination and delivery of cancer diagnostic services among historically marginalized populations and could be a method to address clinical access disparities.

Indexed as

EthnicityNeoplasmsBlack or African AmericanDelivery of Health CareHispanic or LatinoHumansPrevalence

Identifiers

PMID36940391
PMCPMC10332843
OpenAlexW4327912634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.