Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Hepatobiliary Cancer
  • Pancreas Cancer
  • Patient Engagement
Design
Observational Model: CohortTime Perspective: Cross-Sectional

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

The objective of this Phase I Small Business Innovation Research project is to determine the scientific or technical feasibility of R&D efforts. The requirements that will be addressed include: Reducing the cognitive or time burden (or both) of navigation-related tasks performed by either patient na...

The objective of this Phase I Small Business Innovation Research project is to determine the scientific or technical feasibility of R&D efforts. The requirements that will be addressed include: Reducing the cognitive or time burden (or both) of navigation-related tasks performed by either patient navigators (PNs) or patients; Integrating seamlessly into the workflow of PNs and existing health information technology (IT) architecture; and Transmitting information securely across a variety of IT systems. The study's proposed approach for developing software to support pancreatic cancer patient navigation across the care continuum will be addressed through research addressing these three Specific Aims: Engineering concepts that embrace interoperability through leveraging open messaging standards and improve usability by adopting human-centered design principles at project inception. With respect to interoperability, the key facet of this work's innovation will be using interoperability standards (e.g., FHIR) to interface with an electronic health record (EHR) at an NCI-designated Comprehensive Cancer Center. Doing so will facilitate scalability and flexibility in functionality that enhances the user experience for integrated functions (patient care information delivery, patient assessment, pain assessment, nutrition and activity). The study will apply user-centered design features that will allow us to assess patient engagement, efficiency of information flow, and navigator satisfaction. Research, design, and potential implementation of open source solutions for recommender systems. Smart recommendations, nudges, and automation enable users, both patients and PNs, to receive certain actionable options for an interaction based on experiences from other patients and navigators with similar preferences or share similar characteristics. The adoption of this approach will address cognitive overload, diminish presentation of unnecessary or inapplicable content, and create enhanced user experiences and more efficient and effective decision making. Research, design, and potential implementation of enhanced content delivery using asynchronous microeducation features. The most common approach to patient education is to create flat files or pdfs that are shared with patients for instruction. The study plans to demonstrate the value of instructional design in the software application to enhance patient engagement and understanding. Video features of the patient experience can be enhanced with videography, 360 immersive videos (for instance to show the patient the inside of the operating and recovery rooms). Through these delivery platforms content can be evaluated with AB testing to assess patient's responsiveness (for example, wound care, graphic representation of the anatomical surgical approach, etc.). While Phase I is primarily focused on the technical feasibility and commercial merit of the tool, the research team seeks to concurrently develop an evaluation design that can robustly assess the impact of the tool along key dimensions that the tool is designed to address: Reducing the information processing burden required of patients to navigate the health care system and care plan Bridging inefficiencies in the multi-step and multi-stakeholder processes inherent in complex care management and coordination

Tracking Information

NCT #
NCT04892927
Collaborators
  • National Cancer Institute (NCI)
  • Georgetown University
Investigators
Principal Investigator: Gregory Downing GMG Arcdata LLC