Evidence map›Paper›PMID 25782082›Full record

ArticleCancer2015

Patient characteristics associated with the level of patient-reported care coordination among male patients with colorectal cancer in the Veterans Affairs health care system.

George L Jackson, Leah L Zullig, Sean M Phelan, Dawn Provenzale, Joan M Griffin, Steven B Clauser, David A Haggstrom, Rahul M Jindal, Michelle van Ryn

Abstract read
In one paragraph

Article in Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Utility of the Patient-Reported Outcomes Measurement Information System (PROMIS) to measure primary health outcomes in cancer patients: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Pooled it
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  8. Perceptions of care and patient-reported outcomes in people living with neuroendocrine tumours.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
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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

9 authors.

George L JacksonCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, North Carolina.
Leah L ZulligCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, North Carolina.
Sean M PhelanDivision of Health Care Policy & Research, Mayo Clinic, Rochester, Minnesota.
Dawn ProvenzaleCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, North Carolina.
Joan M GriffinKern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.
Steven B ClauserPatient-Centered Outcomes Research Institute, Washington, DC.
David A HaggstromCenter for Health Information and Communication, Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana.
Rahul M JindalWalter Reed National Military Medical Center, Bethesda, Maryland.
Michelle van RynDivision of Health Care Policy & Research, Mayo Clinic, Rochester, Minnesota.

Funding

Cancer Training GrantR25CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BASCH, ETHAN M., REEVE, BRYCE B · 2008 to 2017
$4.0M
HSRD VA IK2 HX001345NCI NIH HHS R25 CA116339
6 · The paper itself

Abstract

backgroundThe current study was performed to determine whether patient characteristics, including race/ethnicity, were associated with patient-reported care coordination for patients with colorectal cancer (CRC) who were treated in the Veterans Affairs (VA) health care system, with the goal of better understanding potential goals of quality improvement efforts aimed at improving coordination.

methodsThe nationwide Cancer Care Assessment and Responsive Evaluation Studies survey involved VA patients with CRC who were diagnosed in 2008 (response rate, 67%). The survey included a 4-item scale of patient-reported frequency ("never," "sometimes," "usually," and "always") of care coordination activities (scale score range, 1-4). Among 913 patients with CRC who provided information regarding care coordination, demographics, and symptoms, multivariable logistic regression was used to examine odds of patients reporting optimal care coordination.

resultsVA patients with CRC were found to report high levels of care coordination (mean scale score, 3.50 [standard deviation, 0.61]). Approximately 85% of patients reported a high level of coordination, including the 43% reporting optimal/highest-level coordination. There was no difference observed in the odds of reporting optimal coordination by race/ethnicity. Patients with early-stage disease (odds ratio [OR], 0.60; 95% confidence interval [95% CI], 0.45-0.81), greater pain (OR, 0.97 for a 1-point increase in pain scale; 95% CI, 0.96-0.99), and greater levels of depression (OR, 0.97 for a 1-point increase in depression scale; 95% CI, 0.96-0.99) were less likely to report optimal coordination.

conclusionsPatients with CRC in the VA reported high levels of care coordination. Unlike what has been reported in settings outside the VA, there appears to be no racial/ethnic disparity in reported coordination. However, challenges remain in ensuring coordination of care for patients with less advanced disease and a high symptom burden. Cancer 2015;121:2207-2213. © 2015 American Cancer Society.

Indexed as

AgedColorectal NeoplasmsHealthcare DisparitiesHumansMalePatient CareTreatment OutcomeUnited StatesUnited States Department of Veterans AffairsVeteranscare coordinationcolorectal cancerhealth disparitiesveterans

Identifiers

PMID25782082
PMCPMC4573735

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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.