494 Expert group decision making for pharmacogenomic testing in Ontario

OBJECTIVES/GOALS: There is a need to better understand how governments develop strategies to adopt, evaluate, and implement novel health technologies in a public healthcare system. The goal of this project is to understand this strategy development process for the translation of pharmacogenomic (PGx...

Full description

Bibliographic Details
Main Authors: Samuel Neumark, Mary Schmitz, Ayeshah G. Mohiuddin, Daniel Gillespie, Zubin Austin, Richard Foty, Joseph Ferenbok
Format: Article
Language:English
Published: Cambridge University Press 2024-04-01
Series:Journal of Clinical and Translational Science
Online Access:https://www.cambridge.org/core/product/identifier/S2059866124004205/type/journal_article
_version_ 1827296056157667328
author Samuel Neumark
Mary Schmitz
Ayeshah G. Mohiuddin
Daniel Gillespie
Zubin Austin
Richard Foty
Joseph Ferenbok
author_facet Samuel Neumark
Mary Schmitz
Ayeshah G. Mohiuddin
Daniel Gillespie
Zubin Austin
Richard Foty
Joseph Ferenbok
author_sort Samuel Neumark
collection DOAJ
description OBJECTIVES/GOALS: There is a need to better understand how governments develop strategies to adopt, evaluate, and implement novel health technologies in a public healthcare system. The goal of this project is to understand this strategy development process for the translation of pharmacogenomic (PGx) testing in Ontario, Canada. METHODS/STUDY POPULATION: This observational case study of the Ontario Health PGx Working Group focused on developing recommendations for a PGx testing implementation strategy in the province. The group included 9 individuals affiliated with Ontario Health and 13 healthcare experts from multiple clinical fields. Ontario Health is the government agency that oversees provincial healthcare planning and service delivery. Guided by the Translational Thinking Framework and qualitative research methods, we observed the working group’s activities for eight months. We collected meeting recordings, slideshow decks, emails, and group characteristics. We used descriptive statistics and a nine-step inductive approach to analyze the data to create process maps, a case report, and key decision summaries. RESULTS/ANTICIPATED RESULTS: There were 19 meetings conducted remotely with videoconferencing technology. Throughout the working group’s activities, we identified 15 key decisions related to either administrative processes or PGx scientific content. We further stratified these two categories into four main themes relating to decisions about 1) membership involvement, 2) logistical management, 3) discussion and recommendation scope, and 4) information dissemination. These four decision themes represent tools by which Ontario Health guided the expert group activities and achieved their goal of generating a strategic roadmap for PGx testing implementation in Ontario. DISCUSSION/SIGNIFICANCE: The Ontario government makes decisions about how expert groups function by monitoring and controlling the group’s activities to ensure efficiency, standardization, and practicality. Describing expert group decision-making increases transparency and highlights the critical role they play in the translational pathway of health technologies.
first_indexed 2024-04-24T14:32:34Z
format Article
id doaj.art-e4fa81a7981f4c4a93b824fdea636a8e
institution Directory Open Access Journal
issn 2059-8661
language English
last_indexed 2024-04-24T14:32:34Z
publishDate 2024-04-01
publisher Cambridge University Press
record_format Article
series Journal of Clinical and Translational Science
spelling doaj.art-e4fa81a7981f4c4a93b824fdea636a8e2024-04-03T02:00:25ZengCambridge University PressJournal of Clinical and Translational Science2059-86612024-04-01814614610.1017/cts.2024.420494 Expert group decision making for pharmacogenomic testing in OntarioSamuel Neumark0Mary Schmitz1Ayeshah G. Mohiuddin2Daniel Gillespie3Zubin Austin4Richard Foty5Joseph Ferenbok6Translational Research Program, Department of Laboratory Medicine and Pathobiology, University of TorontoUniversity of TorontoThe Centre for Addiction and Mental HealthOntario HealthUniversity of TorontoUniversity of TorontoUniversity of TorontoOBJECTIVES/GOALS: There is a need to better understand how governments develop strategies to adopt, evaluate, and implement novel health technologies in a public healthcare system. The goal of this project is to understand this strategy development process for the translation of pharmacogenomic (PGx) testing in Ontario, Canada. METHODS/STUDY POPULATION: This observational case study of the Ontario Health PGx Working Group focused on developing recommendations for a PGx testing implementation strategy in the province. The group included 9 individuals affiliated with Ontario Health and 13 healthcare experts from multiple clinical fields. Ontario Health is the government agency that oversees provincial healthcare planning and service delivery. Guided by the Translational Thinking Framework and qualitative research methods, we observed the working group’s activities for eight months. We collected meeting recordings, slideshow decks, emails, and group characteristics. We used descriptive statistics and a nine-step inductive approach to analyze the data to create process maps, a case report, and key decision summaries. RESULTS/ANTICIPATED RESULTS: There were 19 meetings conducted remotely with videoconferencing technology. Throughout the working group’s activities, we identified 15 key decisions related to either administrative processes or PGx scientific content. We further stratified these two categories into four main themes relating to decisions about 1) membership involvement, 2) logistical management, 3) discussion and recommendation scope, and 4) information dissemination. These four decision themes represent tools by which Ontario Health guided the expert group activities and achieved their goal of generating a strategic roadmap for PGx testing implementation in Ontario. DISCUSSION/SIGNIFICANCE: The Ontario government makes decisions about how expert groups function by monitoring and controlling the group’s activities to ensure efficiency, standardization, and practicality. Describing expert group decision-making increases transparency and highlights the critical role they play in the translational pathway of health technologies.https://www.cambridge.org/core/product/identifier/S2059866124004205/type/journal_article
spellingShingle Samuel Neumark
Mary Schmitz
Ayeshah G. Mohiuddin
Daniel Gillespie
Zubin Austin
Richard Foty
Joseph Ferenbok
494 Expert group decision making for pharmacogenomic testing in Ontario
Journal of Clinical and Translational Science
title 494 Expert group decision making for pharmacogenomic testing in Ontario
title_full 494 Expert group decision making for pharmacogenomic testing in Ontario
title_fullStr 494 Expert group decision making for pharmacogenomic testing in Ontario
title_full_unstemmed 494 Expert group decision making for pharmacogenomic testing in Ontario
title_short 494 Expert group decision making for pharmacogenomic testing in Ontario
title_sort 494 expert group decision making for pharmacogenomic testing in ontario
url https://www.cambridge.org/core/product/identifier/S2059866124004205/type/journal_article
work_keys_str_mv AT samuelneumark 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT maryschmitz 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT ayeshahgmohiuddin 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT danielgillespie 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT zubinaustin 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT richardfoty 494expertgroupdecisionmakingforpharmacogenomictestinginontario
AT josephferenbok 494expertgroupdecisionmakingforpharmacogenomictestinginontario