Evidence map›Paper›PMID 36812643›Full record

ArticlePLOS digital health2022

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

Vinyas Harish, Thomas G Samson, Lori Diemert, Ashleigh Tuite, Muhammad Mamdani, Kamran Khan, Anita McGahan, James A Shaw, Sunit Das, Laura C Rosella

Open access · goldAbstract read
In one paragraph

Article in PLOS digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Vinyas HarishMD/PhD Program, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0001-6364-2439
Thomas G SamsonDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Lori DiemertDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Ashleigh TuiteDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Muhammad MamdaniDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Kamran KhanDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Anita McGahanDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
James A ShawDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Sunit DasEthics of AI Lab, Centre for Ethics, University of Toronto, Toronto, Canada.
Laura C RosellaDalla Lana School of Public Health, University of Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0003-4867-869X
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID36812643
PMCPMC9931354
OpenAlexW4311486159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.