UMB Data Catalog

A project of the Health Sciences and Human Services Library
UMB Dataset

Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network

UID: 197
Author(s): Nina R. Sperber*, Olivia M. Dong, Megan C. Roberts, Paul Dexter, Amanda R. Elsey...
* Corresponding Author
Description
Clinical decision support (CDS) is a method to streamline the complexity of genomic medicine. Researchers conducted an in-depth evaluation of implementation strategies across a network focused on implementing genomic medicine, called Implementing Genomics In Practice, to gather data on common strategies for applying provider-based CDS interventions. The first phase used a web-based, self-administered, 15 minute structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC). The structured survey was used to gather information on implementation strategies used at sites. Follow-up interviews, guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, obtained more detail about implementation strategies and desired outcomes.
Timeframe
2021
Subject of Study
Subject Domain
Decision Support Systems, Clinical
Keywords
Genomic Medicine

Access

Restrictions
Unrestricted access
Instructions
The data presented in this study are available in the article and the Supplementary Materials Files S2.
Access via Article

Datatables, surveys

Access via MDPI

Surveys

Associated Publications
Sperber NR, Dong OM, Roberts MC, Dexter P, Elsey AR, Ginburg GS, Horowitz CR, Johnson JA, Levy KD, Ong HJ. Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network. Pers. Med. 2021 July 08;11(7):647
Data Type
Interview
Survey
Qualitative
Software Used
NVivo 12

Used to manage, organize, and query the qualitative data for analysis

Study Type
Observational
Dataset Format(s)
PDF
Data Collection Instruments
Implementing Genomics In Practice (IGNITE)
Expert Recommendations for Implementing Change (ERIC)
RE-AIM
Dataset Size
339 kB
Grant Support
U01 HG007269/National Institute of Health
UL1 TR 000064/National Institute of Health
U01 HG007253/National Institute of Health
U01 HG007762/National Institute of Health
U01 HG007282/National Institute of Health
U01 HG007775/National Institute of Health
U01 HG007278/National Institute of Health