Evidence map›Paper›PMID 35036555›Full record

ArticleLearning health systems2022

Collaborative conversations during the time of COVID-19: Building a "meta"-learning community.

Lisa Ferguson, Victor C Rentes, Lauren McCarthy, Alexandra H Vinson

Abstract read
In one paragraph

Article in Learning health systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Lisa FergusonDepartment of Learning Health Sciences University of Michigan Ann Arbor Michigan USA.
Victor C RentesDepartment of Learning Health Sciences University of Michigan Ann Arbor Michigan USA.
Lauren McCarthyDepartment of Learning Health Sciences University of Michigan Ann Arbor Michigan USA.
Alexandra H VinsonDepartment of Learning Health Sciences University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0002-9062-7899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

problemCOVID-19 created new research, clinical, educational, and personal challenges, while simultaneously separating work teams who were under work-from-home restrictions. Addressing these challenges required new forms of collaborative groups. APPROACH: To support the department community and the rapid sharing of new research, educational, clinical, and personal efforts, a Core Team from the Department of Learning Health Sciences at the University of Michigan developed a meeting series called the COVID Conversations. This Experience Report shares the organizational structure of the COVID Conversations, proposes a comparison to traditional Learning Communities, and reports the results of a questionnaire that gathered details about department members' COVID-related activities. OUTCOMES: We identify and describe salient similarities and differences between the COVID Conversations and the characteristics of Learning Communities. We also developed and piloted a taxonomy for characterizing LHS research projects that may be further developed for use in Learning Community planning, in conjunction with other maturity grids and ontologies. We propose the term "Meta-Learning Community" to describe the structure and function of the COVID Conversations. NEXT STEPS: In academic medicine, remote work, telemedicine, and virtual learning may be here to stay. The COVID Conversations constitute a distinct and innovative form of collaborative work in which separate teams addressing distinct goals, yet sharing a common passion to tackle the issues brought by the pandemic, are able to share experiences and learn from one other. The challenges of COVID-19 have made evident the need for multiple forms of organizing teamwork, and our study contributes the notion of a "Meta"-Learning Community as a new form of collaborative work.

Indexed as

collaborationlearning communitylearning health systemlearning networkstaxonomy

Identifiers

PMID35036555
PMCPMC8753305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.