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BMC Med Genomics. 2017 May 22;10(1):35. doi: 10.1186/s12920-017-0273-2.

Challenges and strategies for implementing genomic services in diverse settings: experiences from the Implementing GeNomics In pracTicE (IGNITE) network.

Author information

1
Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, USA. nina.sperber@duke.edu.
2
Duke Center for Applied Genomics & Precision Medicine, Duke University, Durham, NC, USA. nina.sperber@duke.edu.
3
VA Health Services Research & Development, Durham VA Health Care System, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA. nina.sperber@duke.edu.
4
Indiana University School of Nursing, Indianapolis, IN, USA.
5
Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, USA.
6
Implementation Pathways, LLC and VA Ann Arbor Center for Clinical Management Research, Ann Arbor, USA.
7
University of Florida, College of Pharmacy and Medicine and Center for Pharmacogenomics, Gainesville, USA.
8
Vanderbilt University Medical Center, Nashville, USA.
9
Duke Center for Applied Genomics & Precision Medicine, Duke University, Durham, NC, USA.
10
University of Maryland School of Medicine, Baltimore, USA.
11
Icahn School of Medicine at Mount Sinai, New York, USA.
12
National Human Genome Research Institute (NHGRI), Rockville, USA.
13
Vanderbilt University Medical Center, Tennessee Valley HealthCare System VA, Nashville, USA.
14
William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
15
Department of Surgery, University of Wisconsin-Madison, Madison, WI, USA.
16
Sanford School of Medicine, University of South Dakota, Vermillion, USA.
17
Duke University, Duke-National University of Singapore Medical School, 8 College Road, Singapore, 169857, Singapore.

Abstract

BACKGROUND:

To realize potential public health benefits from genetic and genomic innovations, understanding how best to implement the innovations into clinical care is important. The objective of this study was to synthesize data on challenges identified by six diverse projects that are part of a National Human Genome Research Institute (NHGRI)-funded network focused on implementing genomics into practice and strategies to overcome these challenges.

METHODS:

We used a multiple-case study approach with each project considered as a case and qualitative methods to elicit and describe themes related to implementation challenges and strategies. We describe challenges and strategies in an implementation framework and typology to enable consistent definitions and cross-case comparisons. Strategies were linked to challenges based on expert review and shared themes.

RESULTS:

Three challenges were identified by all six projects, and strategies to address these challenges varied across the projects. One common challenge was to increase the relative priority of integrating genomics within the health system electronic health record (EHR). Four projects used data warehousing techniques to accomplish the integration. The second common challenge was to strengthen clinicians' knowledge and beliefs about genomic medicine. To overcome this challenge, all projects developed educational materials and conducted meetings and outreach focused on genomic education for clinicians. The third challenge was engaging patients in the genomic medicine projects. Strategies to overcome this challenge included use of mass media to spread the word, actively involving patients in implementation (e.g., a patient advisory board), and preparing patients to be active participants in their healthcare decisions.

CONCLUSIONS:

This is the first collaborative evaluation focusing on the description of genomic medicine innovations implemented in multiple real-world clinical settings. Findings suggest that strategies to facilitate integration of genomic data within existing EHRs and educate stakeholders about the value of genomic services are considered important for effective implementation. Future work could build on these findings to evaluate which strategies are optimal under what conditions. This information will be useful for guiding translation of discoveries to clinical care, which, in turn, can provide data to inform continual improvement of genomic innovations and their applications.

KEYWORDS:

Electronic health record; Implementation; Patient engagement; Pharmacogenomics; Precision medicine; Provider engagement

PMID:
28532511
PMCID:
PMC5441047
DOI:
10.1186/s12920-017-0273-2
[Indexed for MEDLINE]
Free PMC Article

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