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Blending Quality Improvement and Research Methods for Implementation Science, Part I Design and Data Collection

Blending Quality Improvement and Research Methods for Implementation Science, Part I Design and... AACN Advanced Critical Care Volume 26, Number 3, pp. 268-274 © 2015 AACN Clinical Clinical Inquiry Inquiry Bradi B. Granger, RN, PhD Department Editor Blending Quality Improvement and Research Methods for Implementation Science, Part I: Design and Data Collection Bradi B. Granger, RN, PhD Bimal R. Shah, MD, MBA he difficulty of translating evidence in the clinical setting lies in our inappro- Tpriate expectations for results to mirror findings in the original research. Akin to expecting the gas mileage on a new car to equal that achieved in premarket test- ing, implementing research findings in a real-world setting will not be equivalent. A great divide exists between the research context (very clean and uninterrupted, often randomized, limited, or with controlled distractions during delivery of the intervention) and the clinical context of everyday life. The rigor of research al- lows focused interventions, designated “interveners,” data collectors, and often additional tools to facilitate the research process. Real-life implementation occurs in myriad contexts, each of which poses opportunities to study the performance of interventions amid the messiness of everyday life. The trick to success lies in thoughtful planning of how one approaches the measurement of messiness. This column is the first in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png AACN Advanced Critical Care Wolters Kluwer Health

Blending Quality Improvement and Research Methods for Implementation Science, Part I Design and Data Collection

Shah, Bimal R.
AACN Advanced Critical Care , Volume 26 (3) – Jul 1, 2015
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Copyright
© 2015 American Association of Critical-Care Nurses
ISSN
1559-7768
eISSN
1559-7776
DOI
10.1097/NCI.0000000000000090
pmid
26200736
Publisher site
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Abstract

AACN Advanced Critical Care Volume 26, Number 3, pp. 268-274 © 2015 AACN Clinical Clinical Inquiry Inquiry Bradi B. Granger, RN, PhD Department Editor Blending Quality Improvement and Research Methods for Implementation Science, Part I: Design and Data Collection Bradi B. Granger, RN, PhD Bimal R. Shah, MD, MBA he difficulty of translating evidence in the clinical setting lies in our inappro- Tpriate expectations for results to mirror findings in the original research. Akin to expecting the gas mileage on a new car to equal that achieved in premarket test- ing, implementing research findings in a real-world setting will not be equivalent. A great divide exists between the research context (very clean and uninterrupted, often randomized, limited, or with controlled distractions during delivery of the intervention) and the clinical context of everyday life. The rigor of research al- lows focused interventions, designated “interveners,” data collectors, and often additional tools to facilitate the research process. Real-life implementation occurs in myriad contexts, each of which poses opportunities to study the performance of interventions amid the messiness of everyday life. The trick to success lies in thoughtful planning of how one approaches the measurement of messiness. This column is the first in

Journal

AACN Advanced Critical Care – Wolters Kluwer Health

Published: Jul 1, 2015

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