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

Serena Phillips1, Sarah Raskin2, Yuqing Zhang1

  • 1Institute for Patient-Centered Initiatives and Health Equity, The George Washington University Cancer Center, 2600 Virginia Avenue NW, Suite 300, Washington, DC, 20037, USA.

Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer
|May 11, 2019
PubMed
Summary

Oncology patient navigation programs need better health information technology. Current systems are diverse and often inadequate, highlighting a need for integrated, user-friendly data management tools.

Keywords:
Health information technologyOncologyPatient navigationQualitative

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Area of Science:

  • Health Informatics
  • Oncology Patient Navigation
  • Health Information Technology

Background:

  • Oncology patient navigation (PN) programs face challenges with information management.
  • Existing health information technologies often do not meet the specific needs of PN programs.

Purpose of the Study:

  • To describe oncology patient navigation program perspectives on information systems and processes.
  • To identify how PN program data is currently used.
  • To determine desired characteristics for future information systems.

Main Methods:

  • Multi-phase data collection including a national online survey (n=343) and a pilot test of a prototype tool (PN-BOT™) with nine programs.
  • Quantitative analysis of survey data and qualitative analysis of open-response fields and interview data.
  • Development of the Patient Navigation Barriers and Outcomes Tool™ (PN-BOT™) informed by study findings.

Main Results:

  • PN programs utilize diverse and often fragmented information systems.
  • Patient navigators use data for tasks, service improvement, research, and reporting.
  • Key desired system features include integration, affordability, ease of use, and stakeholder-specific reporting.

Conclusions:

  • Oncology PN programs struggle to find suitable health information technologies.
  • Ideal information systems should be customizable, affordable, interoperable, and minimize data entry.
  • Input from PN staff is crucial when selecting or developing information systems; PN-BOT™ is a free tool developed to address these needs.