Evidence map›Paper›PMID 35904765›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Electronic case reporting (eCR) of COVID-19 to public health: implementation perspectives from the Minnesota Department of Health.

Sripriya Rajamani, Ann Kayser, Ali Ruprecht, Jacqueline Cassman, Megan Polzer, Teri Homan, Ann Reid, Melinda Hanson, Emily Emerson, Aasa Dahlberg Schmit and 1 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Sripriya RajamaniInformatics Program, School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-5941-7500
Ann KayserMinnesota Department of Health, Saint Paul, Minnesota, USA.
Ali RuprechtMinnesota Department of Health, Saint Paul, Minnesota, USA.
Jacqueline CassmanMinnesota Department of Health, Saint Paul, Minnesota, USA.
Megan PolzerMinnesota Department of Health, Saint Paul, Minnesota, USA.
Teri HomanMinnesota Department of Health, Saint Paul, Minnesota, USA.
Ann ReidMinnesota Department of Health, Saint Paul, Minnesota, USA.
Melinda HansonMinnesota Department of Health, Saint Paul, Minnesota, USA.
Emily EmersonMinnesota Department of Health, Saint Paul, Minnesota, USA.
Aasa Dahlberg SchmitMinnesota Department of Health, Saint Paul, Minnesota, USA.
Sarah SolarzMinnesota Department of Health, Saint Paul, Minnesota, USA.

Funding

Epidemiology and Laboratory Capacity for Prevention and Control of Emerging Infectious Diseases (ELC)
6 · The paper itself

Abstract

Electronic case reporting (eCR) is the automated generation and transmission of case reports from electronic health records to public health for review and action. These reports (electronic initial case reports: eICRs) adhere to recommended exchange and terminology standards. eCR is a partnership of the Centers for Disease Control and Prevention (CDC), Association of Public Health Laboratories (APHL) and Council of State and Territorial Epidemiologists (CSTE). The Minnesota Department of Health (MDH) received eICRs for COVID-19 from April 2020 (3 sites, manual process), automated eCR implementation in August 2020 (7 sites), and on-boarded ∼1780 clinical units in 460 sites across 6 integrated healthcare systems (through March 2022). Approximately 20 000 eICRs/month were reported to MDH during high-volume timeframes. With increasing provider/health system implementation, the proportion of COVID-19 cases with an eICR increased to 30% (March 2022). Evaluation of data quality for select demographic variables (gender, race, ethnicity, email, phone, language) across the 6 reporting health systems revealed a high proportion of completeness (>80%) for half of variables and less complete data for rest (ethnicity, email, language) along with low ethnicity data (<50%) for one health system. Presently eCR implementation at MDH includes only one EHR vendor. Next steps will focus on onboarding other EHRs, additional eICR data extraction/utilization, detailed analysis, outreach to address data quality issues, and expanding to other reportable conditions.

Indexed as

COVID-19Public HealthCenters for Disease Control and Prevention, U.S.ElectronicsHumansMinnesotaUnited StatesCOVID-19electronic case reportinginteroperabilitypublic health informaticspublic health reportingstandards

Identifiers

PMID35904765
PMCPMC9384568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.