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Bridging the Gap in Genomic Implementation: Identifying User Needs for Precision Nephrology.
Kneifati-Hayek, Jerard Z; Zachariah, Teena; Ahn, Wooin; Khan, Atlas; Kiryluk, Krzysztof; Mohan, Sumit; Weng, Chunhua; Gharavi, Ali G; Nestor, Jordan G.
Afiliación
  • Kneifati-Hayek JZ; Division of General Medicine, Department of Medicine, Columbia University, New York, USA.
  • Zachariah T; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Ahn W; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Khan A; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Kiryluk K; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Mohan S; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
  • Weng C; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
  • Gharavi AG; Department of Biomedical Informatics, Columbia University, New York, USA.
  • Nestor JG; Division of Nephrology, Department of Medicine, Columbia University, New York, USA.
Kidney Int Rep ; 9(8): 2420-2431, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39156149
ABSTRACT

Introduction:

Genomic medicine holds transformative potential for personalized nephrology care; however, its clinical integration poses challenges. Automated clinical decision support (CDS) systems in the electronic health record (EHR) offer a promising solution but have shown limited impact. This study aims to glean practical insights into nephrologists' challenges using genomic resources, informing precision nephrology decision support tools.

Methods:

We conducted an anonymous electronic survey among US nephrologists from January 19, 2021 to May 19, 2021, guided by the Consolidated Framework for Implementation Research. It assessed practice characteristics, genomic resource utilization, attitudes, perceived knowledge, self-efficacy, and factors influencing genetic testing decisions. Survey links were primarily shared with National Kidney Foundation members.

Results:

We analyzed 319 surveys, with most respondents specializing in adult nephrology. Although respondents generally acknowledged the clinical use of genomic resources, varying levels of perceived knowledge and self-efficacy were evident regarding precision nephrology workflows. Barriers to genetic testing included cost/insurance coverage and limited genomics experience.

Conclusion:

The study illuminates specific hurdles nephrologists face using genomic resources. The findings are a valuable contribution to genomic implementation research, highlighting the significance of developing tailored interventions to support clinicians in using genomic resources effectively. These findings can guide the future development of CDS systems in the EHR. Addressing unmet informational and workflow support needs can enhance the integration of genomics into clinical practice, advancing personalized nephrology care and improving kidney disease outcomes. Further research should focus on interventions promoting seamless precision nephrology care integration.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Kidney Int Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Kidney Int Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos