Evidence map›Paper›PMID 33162358›Full record

ArticleJournal of the American Medical Directors Association2020

Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic.

Serena P Wong, Heather N Jacobson, Jennifer Massengill, Heidi K White, Mamata Yanamadala

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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

5 authors.

Serena P WongDivision of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA. Electronic address: serena.wong@duke.edu.
Heather N JacobsonPopulation Health Management Office, Duke University Health System, Durham, NC, USA.
Jennifer MassengillDepartment of Performance Services, Duke University Health System, Durham, NC, USA.
Heidi K WhiteDivision of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Mamata YanamadalaDivision of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and timely transmission of medical records between skilled nursing facilities and acute care settings has been logistically problematic. Often people are sent to the hospital with a packet of paper records, which is easily misplaced. The COVID-19 pandemic has further magnified this problem by the possibility of viral transmission via fomites. To protect themselves, staff and providers were donning personal protective equipment to review paper records, which was time-consuming and wasteful. We describe an innovative process developed by a team of hospital leadership, members of a local collaborative of skilled nursing facilities, and leadership of this collaborative group, to address this problem. Many possible solutions were suggested and reviewed. We describe the reasons for selecting our final document transfer process and how it was implemented. The critical success factors are also delineated. Other health systems and collaborative groups of skilled nursing facilities may benefit from implementing similar processes.

Indexed as

COVID-19Health Information ExchangePandemicsHealth FacilitiesHumansInfection ControlSARS-CoV-2acute careCOVID-19health information transferInteroperabilitynursing hometransfer of care

Identifiers

PMID33162358
PMCPMC7580699

What OpenQuestion holds

Textmetadata
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.