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Development of a Virtual Reality Assessment of Everyday Living Skills
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Development and testing of an implementation strategy for a complex housing intervention: protocol for a mixed

Dennis P Watson1, Jeani Young, Emily Ahonen

  • 1Department of Health Policy and Management, Indiana University, Richard M, Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, 714 N, Senate Ave, Indianapolis 46202, IN, USA. dpwatson@iu.edu.

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|October 18, 2014
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Summary
This summary is machine-generated.

This study outlines a protocol for developing and testing a distance-delivered implementation strategy for the Housing First model (HFM). This approach aims to improve the scalability and impact of HFM for homeless individuals.

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Area of Science:

  • Implementation Science
  • Public Health Interventions
  • E-learning

Background:

  • Lack of scientifically validated implementation strategies for complex interventions.
  • Housing First model (HFM) is an evidence-based practice for chronically homeless individuals.
  • Need for adaptable strategies to overcome implementation barriers.

Purpose of the Study:

  • To develop and test a distance-delivered implementation strategy for the Housing First model (HFM).
  • To adapt a face-to-face strategy for remote delivery using e-learning.
  • To assess the feasibility and effectiveness of the e-learning strategy across diverse settings.

Main Methods:

  • Protocol development integrating implementation and e-learning theories.
  • Alpha testing of e-learning modules with housing providers in Chicago and Central Indiana.
  • Pilot testing of the refined strategy with housing organizations, collecting qualitative and quantitative data.

Main Results:

  • Data collection ongoing, focusing on causal factors, training, and implementation outcomes.
  • Iterative refinement of e-learning modules based on alpha test feedback.
  • Comparative analysis of implementation barriers in Chicago and Central Indiana.

Conclusions:

  • This project is a crucial step towards evidence-based implementation strategies for HFM.
  • The study will enhance the scalability and impact of the Housing First model.
  • Findings will contribute to the broader scientific understanding of implementation strategies.