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Developing a systems-focused tool for modeling lung cancer screening resource needs.

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  • 1University of Michigan, Ann Arbor, MI, USA. aparnakr@umich.edu.

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This study developed a tool to optimize resource allocation for lung cancer screening (LCS) in Veterans. The tool identified radiologists, nurse navigators, and primary care providers as key personnel for efficient program management.

Keywords:
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Area of Science:

  • Oncology
  • Public Health
  • Health Services Research

Background:

  • Lung cancer screening (LCS) significantly improves survival rates, particularly for high-risk populations like war Veterans.
  • The Veteran's Affairs Lung Precision Oncology Program (VA LPOP) aims to increase LCS rates using low-dose computed tomography (LDCT).
  • Accurate resource allocation is crucial for the success and scalability of LCS programs.

Purpose of the Study:

  • To develop an adaptive population health tool for optimizing resource allocation in the VA LCS program.
  • To determine the human resource needs (FTEs) for primary care providers, nurse navigators, and radiologists.
  • To analyze the impact of population size, screening eligibility acceptance, and task time on resource requirements.

Main Methods:

  • Developed a C++ based tool modeling the VA LCS program process.
  • Input parameters represent program operations to calculate Full-Time Equivalents (FTEs) for human resources.
  • Conducted sensitivity analyses to assess resource needs under varying conditions.

Main Results:

  • Radiologists require the highest FTEs, followed by nurse navigators, then primary care providers for a population of 75,000.
  • Increased population size linearly increases resource needs, with radiologists showing the greatest rate of increase.
  • Screening acceptance rates and time allocated for nurse navigator tasks significantly impact FTE requirements.

Conclusions:

  • The developed tool highlights the need for tailored strategies based on population demographics and workflow.
  • Further refinement will incorporate system variability, post-abnormal test resource needs, and steady-state resource distribution.
  • The tool has broader applicability to other cancer screening programs beyond the specific VA center.