Trial reportJournal of cancer education : the official journal of the American Association for Cancer Education2011
Do navigators' estimates of navigation intensity predict navigation time for cancer care?
Trial report in Journal of cancer education : the official journal of the American Association for Cancer Education, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- The role of patient navigation programs in early cancer care in Mexico: a multi-case qualitative study.The oncologist · 2025Article
- Insights from a Patient-Centered Lung Cancer Navigation Program in a Low-Resource Community.Current oncology (Toronto, Ont.) · 2025Article
- Derivation of a Unique, Algorithm-Based Approach to Cancer Patient Navigator Workload Management.JCO clinical cancer informatics · 2023Article
- Patient barriers to cancer clinical trial participation and navigator activities to assist.Advances in cancer research · 2020Review
- Social Network Structures of Breast Cancer Patients and the Contributing Role of Patient Navigators.The oncologist · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Patient navigation requires that patient load be equitably distributed. We examined whether navigators could predict the relative amount of time needed by different patients for navigation. Analysis of 139 breast and colorectal cancer patients randomized to the navigation arm of a trial evaluating the effectiveness of navigation. Navigators completed a one-item scale estimating how much navigation time patients were likely to require. Participants were mostly females (89.2%) with breast cancer (83.4%); barriers to cancer care were insurance difficulties (26.6%), social support (18.0%), and transportation (14.4%). Navigator baseline estimates of navigation intensity predicted total navigation time, independent of patient characteristics. The total number of barriers, rather than any specific type of barrier, predicted increased navigator time, with a 16% increase for each barrier. Navigators' estimate of intensity independently predicts navigation time for cancer patients. Findings have implications for assigning navigator case loads.
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Registered trials
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.