The motivation and process for developing a consortium‐wide time and motion study to estimate resource implications of innovations in the use of genome sequencing to inform patient care

Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are available. We developed a time and motion (T&M) study within the Clinical Sequencing Evidence‐Generating Research (CSER) consortium to address...

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Published inClinical and translational science Vol. 17; no. 1; pp. e13635 - n/a
Main Authors Hoban, Hannah G., Yip, Tiffany A., Chau, Joanna C., Bensen, Jeannette T., Desrosiers, Lauren R., Finnila, Candice R., Hindorff, Lucia A., Kelly, Nicole R., Lynch, Frances L., Rolf, Bradley A., Smith, Hadley S., Wasserstein, Melissa P., Hassmiller Lich, Kristen
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Published United States John Wiley & Sons, Inc 01.01.2024
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Abstract Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are available. We developed a time and motion (T&M) study within the Clinical Sequencing Evidence‐Generating Research (CSER) consortium to address this gap, and herein describe challenges of conducting T&M studies within a research consortium and the approaches we developed to overcome them. CSER investigators created a subgroup to carry out the T&M study (authors). We describe logistical and administrative challenges associated with resource use data collection across heterogeneous projects conducted in real‐world clinical settings, and our solutions for completing this study and harmonizing data across projects. We delineate processes for feasible data collection on workflow, personnel, and resources required to deliver genetic testing innovations in each CSER project. A critical early step involved developing detailed project‐specific process flow diagrams of innovation implementation in projects' clinical settings. Analyzing diagrams across sites, we identified common process‐step themes, used to organize project‐specific data collection and cross‐project analysis. Given the heterogeneity of innovations, study design, and workflows, which affect resources required to deliver genetic testing innovations, flexibility was necessary to harmonize data collection. Despite its challenges, this heterogeneity provides rich insights about variation in clinical processes and resource implications for implementing genetic testing innovations.
AbstractList Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are available. We developed a time and motion (T&M) study within the Clinical Sequencing Evidence-Generating Research (CSER) consortium to address this gap, and herein describe challenges of conducting T&M studies within a research consortium and the approaches we developed to overcome them. CSER investigators created a subgroup to carry out the T&M study (authors). We describe logistical and administrative challenges associated with resource use data collection across heterogeneous projects conducted in real-world clinical settings, and our solutions for completing this study and harmonizing data across projects. We delineate processes for feasible data collection on workflow, personnel, and resources required to deliver genetic testing innovations in each CSER project. A critical early step involved developing detailed project-specific process flow diagrams of innovation implementation in projects' clinical settings. Analyzing diagrams across sites, we identified common process-step themes, used to organize project-specific data collection and cross-project analysis. Given the heterogeneity of innovations, study design, and workflows, which affect resources required to deliver genetic testing innovations, flexibility was necessary to harmonize data collection. Despite its challenges, this heterogeneity provides rich insights about variation in clinical processes and resource implications for implementing genetic testing innovations.
Abstract Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are available. We developed a time and motion (T&M) study within the Clinical Sequencing Evidence‐Generating Research (CSER) consortium to address this gap, and herein describe challenges of conducting T&M studies within a research consortium and the approaches we developed to overcome them. CSER investigators created a subgroup to carry out the T&M study (authors). We describe logistical and administrative challenges associated with resource use data collection across heterogeneous projects conducted in real‐world clinical settings, and our solutions for completing this study and harmonizing data across projects. We delineate processes for feasible data collection on workflow, personnel, and resources required to deliver genetic testing innovations in each CSER project. A critical early step involved developing detailed project‐specific process flow diagrams of innovation implementation in projects' clinical settings. Analyzing diagrams across sites, we identified common process‐step themes, used to organize project‐specific data collection and cross‐project analysis. Given the heterogeneity of innovations, study design, and workflows, which affect resources required to deliver genetic testing innovations, flexibility was necessary to harmonize data collection. Despite its challenges, this heterogeneity provides rich insights about variation in clinical processes and resource implications for implementing genetic testing innovations.
Author Lynch, Frances L.
Finnila, Candice R.
Wasserstein, Melissa P.
Smith, Hadley S.
Kelly, Nicole R.
Hoban, Hannah G.
Chau, Joanna C.
Hindorff, Lucia A.
Yip, Tiffany A.
Bensen, Jeannette T.
Rolf, Bradley A.
Hassmiller Lich, Kristen
Desrosiers, Lauren R.
AuthorAffiliation 7 Center for Health Research Kaiser Permanente Northwest Portland Oregon USA
10 Department of Health Policy and Management University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
3 Department of Epidemiology University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
9 Center for Medical Ethics and Health Policy Baylor College of Medicine Houston Texas USA
1 Institute for Human Genetics University of California San Francisco California USA
5 HudsonAlpha Institute for Biotechnology Huntsville Alabama USA
4 Department of Pediatrics Baylor College of Medicine Houston Texas USA
8 Division of Medical Genetics, Department of Medicine University of Washington Seattle Washington USA
2 Division of Genomic Medicine, National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA
6 Division of Pediatric Genetic Medicine, Department of Pediatrics Children's Hospital at Montefiore and the Albert Einstein College of Medicine Bronx New York USA
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Cites_doi 10.1186/s13012-018-0842-6
10.1016/j.ajhg.2018.08.007
10.1007/s10897-017-0098-3
10.1097/gim.0b013e318182206f
10.1007/s10897-017-0205-5
10.1097/MLR.0b013e31819bc064
10.1080/14737159.2017.1335598
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Snippet Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data are...
Abstract Costs of implementing genomic testing innovations extend beyond the cost of sequencing, affecting personnel and infrastructure for which little data...
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SubjectTerms Clinical medicine
Consortia
Cost estimates
Data collection
Genetic counseling
Genetic screening
Genetic Testing
Genetics
Genomes
Humans
Innovations
Medicine
Mini Review
Mini Reviews
Motivation
Patient Care
Patients
Pediatrics
Personnel
Time and Motion Studies
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Title The motivation and process for developing a consortium‐wide time and motion study to estimate resource implications of innovations in the use of genome sequencing to inform patient care
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcts.13635
https://www.ncbi.nlm.nih.gov/pubmed/38064200
https://www.proquest.com/docview/2917892148
https://search.proquest.com/docview/2902963984
https://pubmed.ncbi.nlm.nih.gov/PMC10766055
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Volume 17
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