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Updated: Jun 10, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Challenges and recommendations for collecting and quantifying implementation costs in practice: a qualitative

Thomasina Donovan1, Hannah E Carter2, Steven M McPhail2,3

  • 1Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, Qld, Australia. thomasina.donovan@qut.edu.au.

Implementation Science Communications
|October 11, 2024
PubMed
Summary
This summary is machine-generated.

Implementation costs are often overlooked in health economic evaluations. Standardized data collection methods are needed for accurate cost estimation in digital health implementation.

Keywords:
Digital healthHealth economicsImplementation costsImplementation science

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Area of Science:

  • Health economics
  • Implementation science
  • Digital health

Background:

  • Economic evaluations are crucial for health innovation but often omit implementation costs.
  • Implementation costs are underreported, impacting resource allocation decisions.
  • This study addresses the gap in capturing costs for implementation efforts, particularly in digital health.

Purpose of the Study:

  • To understand and outline current practices for capturing implementation costs.
  • To identify challenges and facilitators in collecting implementation cost data.
  • To provide insights from the digital health setting.

Main Methods:

  • Qualitative study using semi-structured interviews with experts.
  • Participants recruited from implementation science, health economics, and digital health fields.
  • Thematic analysis of interview data to identify key themes.

Main Results:

  • Sixteen experts were interviewed, with varied specializations.
  • Key themes included challenges in data collection, varied approaches, the value of costs, and the role of collaboration.
  • Staff time tracking was a common method, but data collection burden was noted.

Conclusions:

  • Standardized methods for implementation cost data collection are not widely used.
  • Improved standardization can enhance transparency and confidence in cost estimates.
  • Findings may not fully represent non-academic industry settings.