Developing a genetic services assessment tool to inform quality improvement efforts in state genetic service delivery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Ann F. Chou, John Mulvihill, Celia Kaye, Sylvia Mann, Marc S. Williams, Lori Williamson

ABSTRACT

PURPOSE: The Institute of Medicine recommended the utilization of metrics to improve quality in health care, although they have rarely been used in genetics. This study developed and tested a set of metrics for a quality assessment tool for genetic services METHODS: A systematic review of literature, guidelines, and consensus statements identified candidate measures for a possible assessment tool. An expert panel conducted a modified Delphi technique to rank the metrics. Ratings were computed to generate a score for each metric, creating a set of metrics for consensus discussions, pilot testing, and feasibility testing in eight Midwestern states. RESULTS: The panel reduced 61 candidate metrics to 21 for pilot testing in two states, which further limited and refined the set to 16 metrics. These 16 were categorized into five domains: service capacity, access to care, data systems, performance reporting, and workforce. Further feasibility testing in one Regional Genetics Collaborative identified the tool's usefulness and barriers to implementation. CONCLUSIONS: These quality metrics for both clinical and public health genetics across the lifespan may help medical professionals and policymakers evaluate quality and cost-effectiveness of genetic services on a statewide basis and stimulate outcome-oriented, health services research in medical genetics and genomics. More... »

PAGES

955-964

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41436-018-0141-2

DOI

http://dx.doi.org/10.1038/s41436-018-0141-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106945797

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30214070


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