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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

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Mixed method evaluation of a community-based physical activity program using the RE-AIM framework: practical

Harriet Koorts¹, Fiona Gillison²

¹Centre for Physical Activity and Nutrition Research, Deakin University, Burwood, VIC, 3125, Australia. h.koorts@deakin.edu.au.

BMC Public Health

|November 8, 2015

Summary

Evaluating a community physical activity program using the RE-AIM framework showed mixed results. While community adoption was high, challenges in data collection impacted the assessment of other RE-AIM dimensions.

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

Public Health
Community Interventions
Program Evaluation

Background:

Community settings are crucial for promoting child and adolescent physical activity.
Effective evaluation is vital for translating physical activity interventions to broader settings.

Purpose of the Study:

To present findings from a RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) evaluation of a community-based physical activity program.
To review methodological challenges encountered when applying the RE-AIM framework in practice.

Main Methods:

A single mixed-methods case study employing a concurrent triangulation design.
Data collected from five sources: interviews, questionnaires, archival records, documentation, and field notes.
RE-AIM framework used to assess individual and organizational outcomes through evidence triangulation.

Main Results:

Inconsistent data availability and reporting hindered the assessment of all RE-AIM dimensions.
Reach, Implementation, and setting-level Adoption were less successful.
Effectiveness and Maintenance were moderately successful; community-level Adoption was highly successful.

Conclusions:

Methodological constraints exist when applying RE-AIM in practice settings.
A mixed-method triangulation approach can help overcome data availability and reliability challenges for future RE-AIM evaluations.