How can health care systems apply new evidence? 

New research on how to optimize patient care and clinical operations is published every day.  But often this research isn't practical for busy, burdened health care systems.  They need research findings that are relevant to their patients, and that come with tools to help apply findings to everyday patient care.   

Implementation science is the answer

A relatively new field, implementation science is the actual application of new knowledge to deliver high-quality, evidence-based care.  

We are advancing the field of implementation science in 4 areas:

  1. Theory, Measure, and Method Development
  2. Social Determinants of Health
  3. Implementation of Evidence-based Practices
  4. Society for Implementation Research Collaboration (SIRC)

Related Resources

A methodology for generating a tailored implementation blueprint: an exemplar from a youth residential setting

"A methodology for generating a tailored implementation blueprint: an exemplar from a youth residential setting", authored by Cara Lewis, et al, offers a relatively low burden collaborative approach to generating a plan for implementation that leverages advances in implementation science including measurement, models, strategy compilations, and methods from other fields.

From Classification to Causality: Advancing Understanding of Mechanisms of Change in Implementation Science

The science of implementation has offered little toward understanding how different implementation strategies work. To improve outcomes of implementation efforts, the field needs precise, testable theories that describe the causal pathways through which implementation strategies function.

Implementing measurement based care in community mental health: a description of tailored and standardized methods.

How can community mental health centers better integrate evidence-based care for their patients who are experiencing depression?  This new publication, by Cara Lewis, PhD, and Elena Navarro, et al, explores two different methods used in a dynamic cluster randomized trial that sought to implement measurement based care (MBC) for depression in a community behavioral health setting.

Optimizing Psychological Science’s Impact on Public Health

Like any new field, dissemination and implementation faces particular challenges that need to be tackled.

Toward criteria for pragmatic measurement in implementation research and practice: a stakeholder-driven approach using concept mapping

Knowing how well you’re doing is the cornerstone of quality improvement (QI.)  Getting that information about health care providers and staff depends on having the right tools.  Co-authored by Cara Lewis, this publication provides guidance on what to consider when developing health care QI measures.  Created with input given by international behavioral health agency stak

The creation and validation of the Measure of Effective Attributes of Trainers (MEAT).

The Measure of Effective Attributes of Trainers (MEAT) is a study that created a measure of trainer characteristics and assessed preliminary evidence for its reliability and validity by following gold standard measure development procedures.

Citation:  Implement Sci. 2017 Jun 2;12(1):73. doi: 10.1186/s13012-017-0603-y. The creation and validation of the Measure of Effective Attributes of Trainers (MEAT). Boyd MR, Lewis CC, Scott K, Krendl A, Lyon AR.

Study protocol for “Healthy Hearts Northwest”: a 2 × 2 randomized factorial trial to build quality improvement capacity in primary care

This Implementation Science paper describes the protocol of our Healthy Hearts Northwest, a randomized trial designed to address the comparative effectiveness of combined strategies to build quality improvement (QI) capacity while improving risk factors for cardiovascular disease.

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