Evidence map›Paper›PMID 23795311›Full record

Trial reportHawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health2013

Helping cancer patients across the care continuum: the navigation program at the Queen's Medical Center.

Amanda L Allison, Debra D M Ishihara-Wong, Jermy B Domingo, Jocelyn Nishioka, Andrea Wilburn, JoAnn U Tsark, Kathryn L Braun

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Medical Financial Hardship Intensity and Financial Sacrifice Associated with Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  3. Community Health Workers in Action: Community-Clinical Linkages for Diabetes Prevention and Hypertension Management at 3 Community Health Centers.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2019
    Review
  4. Community Health Workers in Hawai'i: A Scoping Review and Framework Analysis of Existing Evidence.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2019
    Article
  5. Efficacy of the Competency-Based Oncology Patient Navigator Training.Journal of oncology navigation & survivorship · 2018
    Article
  6. Examining care navigation: librarian participation in a team-based approach?Journal of the Medical Library Association : JMLA · 2016
    Article
  7. 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

7 authors.

Amanda L AllisonThe Queen's Medical Center, Honolulu, HI 96813, USA. aallison@queens.org
Debra D M Ishihara-Wong
Jermy B Domingo
Jocelyn Nishioka
Andrea Wilburn
JoAnn U Tsark
Kathryn L Braun

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
Implementing a Physical Activity Program in Hawaiian Elementary SchoolsU01CA114630 · NCI · PAPA OLA LOKAHI · PI CHONG, CLAYTON D K · 2005 to 2010
$6.3M
Training ProgramU54CA153459 · NCI · PAPA OLA LOKAHI · PI BRAUN, KATHRYN LENZNER · 2010 to 2015
$4.5M
NCI NIH HHS 3U01CA114630-05S1NCI NIH HHS U54 CA153459NCI NIH HHS U54CA153459-01NIMHD NIH HHS U54 MD007584PHS HHS H4MHP20309
6 · The paper itself

Abstract

Research suggests that cancer patient navigation improves care, but few reports describe the variety of patients managed by a hospital-based navigation program. Differences in navigated patients by the intensity (low, medium, or high) of navigation services they received were examined. The 835 clients seen by the navigators in a hospital-based cancer center were first stratified by quarter and by four ethnic groups. Randomized selection from each group assured there would be equal representation for analysis of Hawaiians, Filipinos, Japanese, and Whites and even numbers over all time intervals. Five professionals extracted data from these case records on demographics, type/stage of cancer, diagnosis and treatment dates, barriers, and navigator actions. Clients had breast (30.0%), lung (15.8%), esophageal (6.7%), colon (5.8%), ovarian (4.2%), prostate (3.3%), and other cancers (34.2%). The median number of actions taken on behalf of a client was 4 (range 1-83), and the median number of days a case was open was 14 (range 1-216). High intensity cases (those receiving more assistance over longer periods of time) were more likely than low-intensity cases to need help with education and reassurance, transportation, care coordination, and covering costs. Although there were no demographic differences across intensity groups, Neighbor Island patients from Hawai'i, Maui, Moloka'i, Lana'i and Kaua'i were more likely to need help with arranging travel, care coordination, and costs associated with getting treatment (all at P=.05), and patients on public insurance were more likely to have stage 4 cancer (P=.001) and to need help with costs (P=.006). Findings suggest that this hospital-based navigation program is filling a real need of patients across the cancer care continuum. A triage protocol and an integrated data capture system could help improve the targeting and documentation of cancer patient navigation services.

Indexed as

Cancer Care FacilitiesFemaleHawaiiHumansMaleMiddle AgedNeoplasmsPatient NavigationRandom Allocation

Identifiers

PMID23795311
PMCPMC3689506

What OpenQuestion holds

Textmetadata
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.