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Implement Sci. 2019 Sep 2;14(1):88. doi: 10.1186/s13012-019-0933-z.

Implementation of the uterine fibroids Option Grid patient decision aids across five organizational settings: a randomized stepped-wedge study protocol.

Author information

The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, One Medical Center Drive, 5th floor, Lebanon, NH, 03756, USA.
Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA.
Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology & Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, Netherlands.
Aetion, Boston, MA, USA.
College of Medicine and Science, Mayo Clinic, Rochester, MN, USA.
National Uterine Fibroids Foundation, Colorado Springs, CO, USA.
The Fibroid Foundation, Bethesda, MD, USA.
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, One Medical Center Drive, 5th floor, Lebanon, NH, 03756, USA.



Uterine fibroids are non-cancerous overgrowths of the smooth muscle in the uterus. As they grow, some cause problems such as heavy menstrual bleeding, pelvic pain, discomfort during sexual intercourse, and rarely pregnancy complications or difficulty becoming pregnant. Multiple treatment options are available. The lack of comparative evidence demonstrating superiority of any one treatment means that choosing the best option is sensitive to individual preferences. Women with fibroids wish to consider treatment trade-offs. Tools known as patient decision aids (PDAs) are effective in increasing patient engagement in the decision-making process. However, the implementation of PDAs in routine care remains challenging. Our aim is to use a multi-component implementation strategy to implement the uterine fibroids Option Grid™ PDAs at five organizational settings in the USA.


We will conduct a randomized stepped-wedge implementation study where five sites will be randomized to implement the uterine fibroid Option Grid PDA in practice at different time points. Implementation will be guided by the Consolidated Framework for Implementation Research (CFIR) and Normalization Process Theory (NPT). There will be a 6-month pre-implementation phase, a 2-month initiation phase where participating clinicians will receive training and be introduced to the Option Grid PDAs (available in text, picture, or online formats), and a 6-month active implementation phase where clinicians will be expected to use the PDAs with patients who are assigned female sex at birth, are at least 18 years of age, speak fluent English or Spanish, and have new or recurrent symptoms of uterine fibroids. We will exclude postmenopausal patients. Our primary outcome measure is the number of eligible patients who receive the Option Grid PDAs. We will use logistic and linear regression analyses to compare binary and continuous quantitative outcome measures (including survey scores and Option Grid use) between the pre- and active implementation phases while adjusting for patient and clinician characteristics.


This study may help identify the factors that impact the implementation and sustained use of a PDA in clinic workflow from various stakeholder perspectives while helping patients with uterine fibroids make treatment decisions that align with their preferences.

TRIAL REGISTRATION: , NCT03985449. Registered 13 July 2019,


Co-production; Consolidated Framework for Implementation Research; Decision support intervention; Electronic health record; Implementation; Normalization Process Theory; Patient decision aids; Picture superiority; Shared decision making; Uterine fibroids

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