Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study.


Journal

PLOS digital health
ISSN: 2767-3170
Titre abrégé: PLOS Digit Health
Pays: United States
ID NLM: 9918335064206676

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 22 06 2022
accepted: 14 11 2022
entrez: 22 2 2023
pubmed: 23 2 2023
medline: 23 2 2023
Statut: epublish

Résumé

Cross-sector partnerships are vital for maintaining resilient health systems; however, few studies have sought to empirically assess the barriers and enablers of effective and responsible partnerships during public health emergencies. Through a qualitative, multiple case study, we analyzed 210 documents and conducted 26 interviews with stakeholders in three real-world partnerships between Canadian health organizations and private technology startups during the COVID-19 pandemic. The three partnerships involved: 1) deploying a virtual care platform to care for COVID-19 patients at one hospital, 2) deploying a secure messaging platform for physicians at another hospital, and 3) using data science to support a public health organization. Our results demonstrate that a public health emergency created time and resource pressures throughout a partnership. Given these constraints, early and sustained alignment on the core problem was critical for success. Moreover, governance processes designed for normal operations, such as procurement, were triaged and streamlined. Social learning, or the process of learning from observing others, offset some time and resource pressures. Social learning took many forms ranging from informal conversations between individuals at peer organisations (e.g., hospital chief information officers) to standing meetings at the local university's city-wide COVID-19 response table. We also found that startups' flexibility and understanding of the local context enabled them to play a highly valuable role in emergency response. However, pandemic fueled "hypergrowth" created risks for startups, such as introducing opportunities for deviation away from their core value proposition. Finally, we found each partnership navigated intense workloads, burnout, and personnel turnover through the pandemic. Strong partnerships required healthy, motivated teams. Visibility into and engagement in partnership governance, belief in partnership impact, and strong emotional intelligence in managers promoted team well-being. Taken together, these findings can help to bridge the theory-to-practice gap and guide effective cross-sector partnerships during public health emergencies.

Identifiants

pubmed: 36812643
doi: 10.1371/journal.pdig.0000164
pii: PDIG-D-22-00156
pmc: PMC9931354
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0000164

Informations de copyright

Copyright: © 2022 Harish et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

K.K. is the founder of BlueDot, a B corporation that develops digital solutions for public health. The other authors have no conflicts to disclose.

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Auteurs

Vinyas Harish (V)

MD/PhD Program, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Vector Institute for Artificial Intelligence, Toronto, Canada.
Schwartz Reisman Institute for Technology and Society, Toronto, Canada.
Ethics of AI Lab, Centre for Ethics, University of Toronto, Toronto, Canada.

Thomas G Samson (TG)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.

Lori Diemert (L)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

Ashleigh Tuite (A)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

Muhammad Mamdani (M)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Vector Institute for Artificial Intelligence, Toronto, Canada.
Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.

Kamran Khan (K)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Division of Infectious Diseases, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.

Anita McGahan (A)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Rotman School of Management, University of Toronto, Toronto, Canada.
Munk School of Global Affairs and Public Policy, University of Toronto, Toronto, Canada.

James A Shaw (JA)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Joint Centre for Bioethics, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Canada.

Sunit Das (S)

Ethics of AI Lab, Centre for Ethics, University of Toronto, Toronto, Canada.
Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Division of Neurosurgery, Department of Surgery, Temerty Faculty of Medicine, Toronto, Canada.

Laura C Rosella (LC)

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Vector Institute for Artificial Intelligence, Toronto, Canada.
Schwartz Reisman Institute for Technology and Society, Toronto, Canada.
Institute for Better Health, Trillium Health Partners, Mississauga, Canada.

Classifications MeSH