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Tempering implementation optimism: distinguishing between efficacy and effectiveness in implementation research.

Per Nilsen1,2, Jeanette Wassar Kirk3,4, Katarina Ulfsdotter Gunnarsson5

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This summary is machine-generated.

Distinguishing implementation efficacy from implementation effectiveness is crucial for realistic intervention research. This clarifies study conditions, enhancing findings

Keywords:
EffectivenessEfficacyStrategies

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Area of Science:

  • Implementation Science
  • Health Services Research
  • Intervention Research

Background:

  • The difference between intervention efficacy (ideal conditions) and effectiveness (real-world settings) is established.
  • Intervention effectiveness is often used as a proxy for implementation readiness, but may overestimate real-world outcomes.
  • Complexities of routine practice settings are often overlooked, leading to optimistic expectations.

Purpose of the Study:

  • To introduce and emphasize the distinction between implementation efficacy and implementation effectiveness.
  • To highlight the critical importance of this distinction for implementation research.
  • To propose a tool for assessing implementation strategy conditions.

Main Methods:

  • Introduces the concepts of implementation efficacy (controlled conditions) and implementation effectiveness (typical settings).
  • Argues for the critical need to operationalize this distinction in implementation studies.
  • Proposes adapting the PRECIS-2 framework into an 'Implementation PRECIS' tool to assess study conditions.

Main Results:

  • The efficacy-effectiveness distinction is rarely made explicit in current implementation studies.
  • Studies vary in how closely they reflect routine practice, complicating interpretation.
  • Economic evaluations are uncommon, hindering assessment of strategy feasibility.

Conclusions:

  • Clarifying implementation efficacy vs. effectiveness enhances research design, interpretation, and communication.
  • This distinction supports informed decisions on intervention replication and scale-up.
  • Making this distinction explicit is vital for a more pragmatic and transparent science of implementation.