ArticleJournal of oncology navigation & survivorship2019
Evaluating the Feasibility of Using a Mobile App to Track Oncology Patient Navigation Activities and Outcomes.
Article in Journal of oncology navigation & survivorship, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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
3 citing papers in PubMed, 2 citations in OpenAlex.
- Supporting Patients With Breast Cancer and Providers Through Treatment and Survivorship: Multimethod Implementation Study of the MyJourney Platform.JMIR cancer · 2026Article
- Perspectives from oncology patient navigation programs on information management practices and needs: a descriptive study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Global trends of digital health technologies in patient navigation: A bibliometric and visual analysis from 2005 to 2024.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Background: The Centers for Disease Control and Prevention supports the implementation of evidence-based interventions to prevent and control cancer, including patient navigation (PN); however, PN lacks standardized tools to measure effectiveness and aggregate data across programs. Using a mobile application (app) could provide a systematic infrastructure for cataloging PN activities and measuring patient outcomes. Objective: Our goal was to evaluate the feasibility of using a mobile app to assist with PN services within cancer control programs. Methods: Seven navigators in 6 geographically diverse PN programs evaluated the mobile app over a period of 5 to 9 months by using the app to track their daily activities. We evaluated the app's capability for collecting and reporting core data elements, such as time spent on outreach, patient care, and administrative tasks, as well as standardized metrics for program evaluation and monitoring. We obtained qualitative data during calls with the navigators through weekly journals and in-depth interviews. Results: The app was effective in tracking caseload, profiling patients' health challenges and barriers to screening and treatment, and capturing PN activities performed during patient encounters. App limitations included an unreliable reporting function, a requirement for internet connectivity, patient privacy concerns, and evolving technology. Discussion: Lessons learned from this evaluation will be useful in developing an app with more robust capabilities while retaining user-friendly features. Conclusion: Mobile technology may reduce individual and health system barriers to accessing cancer care and treatment and support posttreatment cancer survivors while also assisting navigators in conducting their work efficiently and effectively.
Identifiers
37200970PMC10190990W4377094514What OpenQuestion holds
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.