Evidence map›Paper›PMID 31073852›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020

Perspectives from oncology patient navigation programs on information management practices and needs: a descriptive study.

Serena Phillips, Sarah Raskin, Yuqing Zhang, Mandi Pratt-Chapman

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

4 authors.

Serena PhillipsInstitute for Patient-Centered Initiatives and Health Equity, The George Washington University Cancer Center, 2600 Virginia Avenue NW, Suite 300, Washington, DC, 20037, USA.
Sarah RaskinL. Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University, 923 W. Franklin Street, Richmond, VA, 23284, USA.
Yuqing ZhangInstitute for Patient-Centered Initiatives and Health Equity, The George Washington University Cancer Center, 2600 Virginia Avenue NW, Suite 300, Washington, DC, 20037, USA.
Mandi Pratt-ChapmanInstitute for Patient-Centered Initiatives and Health Equity, The George Washington University Cancer Center, 2600 Virginia Avenue NW, Suite 300, Washington, DC, 20037, USA. mandi@gwu.edu.

Funding

Genentech None
6 · The paper itself

Abstract

purposeThe purposes of this study are to describe oncology patient navigation (PN) program perspectives on: (1) use of information systems and processes, (2) uses of program data, and (3) desired information system characteristics.

methodsWe conducted multi-phase data collection to inform development of the Patient Navigation Barriers and Outcomes Tool™ (PN-BOT™), a new information management and reporting tool for oncology PN programs. Phase I was a national online survey of PN staff (n = 343) about data practices. Phase II was a pilot test of a PN-BOT™ prototype with nine PN programs. Survey results were tabulated. Qualitative analysis identified emergent themes from open-response fields from the Phase I survey and open-response survey and interview data from Phase II pilot testers.

resultsPN program information management practices and systems were diverse and often leveraged a patchwork of untailored platforms. Navigators used data to inform navigation tasks, service improvement, research, and reporting. Respondents desired a streamlined, integrated, affordable data system able to minimize data entry burden, meet needs of diverse stakeholders, facilitate navigation work, readily generate reports, and share information among healthcare team members.

conclusionsAlthough oncology navigation programs explore diverse solutions, programs struggle to find health information technologies that sufficiently meet their needs. Information systems designed for oncology PN programs should perform a wide range of functions: be customizable, affordable, interoperable, and have low data entry burden. Organizations exploring solutions should invite PN input in decisions. PN-BOT™ was developed as a free Excel-based tool for PN programs responsive to reported needs.

Indexed as

Decision MakingHumansInformation ManagementMedical OncologyNeoplasmsPatient NavigationSurveys and QuestionnairesHealth information technologyOncologyPatient navigationQualitative

Identifiers

PMID31073852
PMCPMC6954125

What OpenQuestion holds

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LicenceCC BY
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.