Evidence map›Paper›PMID 38033785›Full record

ArticleJAMIA open2023

Hospitals' electronic access to information needed to treat COVID-19.

Chelsea Richwine, Jordan Everson, Vaishali Patel

Abstract read
In one paragraph

Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Barriers to obtaining and using interoperable information among non-federal acute care hospitals.Journal of the American Medical Informatics Association : JAMIA · 2025
    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

3 authors.

Chelsea RichwineOffice of Technology, Office of the National Coordinator for Health Information Technology, Washington, DC 20201, United States.ORCID https://orcid.org/0000-0001-9558-3437
Jordan EversonOffice of Technology, Office of the National Coordinator for Health Information Technology, Washington, DC 20201, United States.ORCID https://orcid.org/0000-0001-5355-6043
Vaishali PatelOffice of Technology, Office of the National Coordinator for Health Information Technology, Washington, DC 20201, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To understand whether hospitals had electronic access to information needed to treat COVID-19 patients and identify factors contributing to differences in information availability. Materials and methods: Using 2021 data from the American Hospital Association IT Supplement, we produced national estimates on the electronic availability of information needed to treat COVID-19 at US non-federal acute care hospitals ( Results: In 2021, 38% of hospitals electronically received information needed to effectively treat COVID-19 patients. Information availability was significantly higher among higher-resourced hospitals and those engaged in interoperable exchange (44%) compared to their counterparts. In adjusted analyses, hospitals engaged in interoperable exchange were 140% more likely to receive needed information electronically compared to those not engaged in exchange (relative risk [RR]=2.40, 95% CI, 1.82-3.17, Discussion: Despite high rates of hospitals' engagement in interoperable exchange, hospitals' electronic access to information needed to support the care of COVID-19 patients was limited. Conclusion: Limited electronic access to patient information from outside sources may impede hospitals' ability to effectively treat COVID-19 and support patient care during public health emergencies.

Indexed as

COVID-19health information exchangehealth information networksinteroperability

Identifiers

PMID38033785
PMCPMC10684259

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.