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Measuring implementation outcomes: An updated systematic review of measures' psychometric properties.

Kayne D MettertCara C LewisCaitlin DorseyHeather HalkoBryan Weiner
Published in: Implementation research and practice (2020)
When implementing an evidence-based treatment into practice, it is important to assess several outcomes to gauge how effectively it is being implemented. Outcomes such as acceptability, feasibility, and appropriateness may offer insight into why providers do not adopt a new treatment. Similarly, outcomes such as fidelity and penetration may provide important context for why a new treatment did not achieve desired effects. It is important that methods to measure these outcomes are accurate and consistent. Without accurate and consistent measurement, high-quality evaluations cannot be conducted. This systematic review of published studies sought to identify questionnaires (referred to as measures) that ask staff at various levels (e.g., providers, supervisors) questions related to implementation outcomes, and to evaluate the quality of these measures. We identified 150 measures and rated the quality of their evidence with the goal of recommending the best measures for future use. Our findings suggest that a great deal of work is needed to generate evidence for existing measures or build new measures to achieve confidence in our implementation evaluations.
Keyphrases
  • systematic review
  • quality improvement
  • primary care
  • healthcare
  • high resolution
  • psychometric properties
  • type diabetes
  • adipose tissue
  • combination therapy
  • case control