Evidence map›Paper›PMID 34279060›Full record

ArticleJournal of genetic counseling2021

Adapting genetic counseling operations amidst the COVID-19 pandemic.

Caitlin Mauer, John Zimmerman, Sayoni Lahiri, Elise Watson, Lily Parsi, Jordan Berg, Sara Pirzadeh-Miller

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2021. 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.

  1. Trial
  2. Article
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  5. Review
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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

7 authors.

Caitlin MauerCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-4671-0353
John ZimmermanCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Sayoni LahiriCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Elise WatsonCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Lily ParsiCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jordan BergCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Sara Pirzadeh-MillerCancer Genetics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic caused significant disruptions to the delivery of genetic counseling services and clinical operations. Understanding how these pivots in practice affected patient care across both a county hospital system and academic medical center can help provide models of clinical operations for other genetic counselors. Programmatic data were analyzed between March 18, 2020 and September 18, 2020, including visit completion rates and genetic testing completion outcomes for genetic counseling services during the COVID-19 pandemic. In addition to analyzing the effects on patient care, we provide commentary on technological adaptations that aided our operations, billing practices, onboarding and engaging new and existing staff, and coordination of education and outreach opportunities. Through this work, we highlight barriers encountered and successful adaptations that will influence future clinical practices and may guide other providers in the development of strategies to meet their clinical and operational needs.

Indexed as

COVID-19Genetic CounselingHumansPandemicsTelemedicineCOVID-19genetic counselinggenetic servicesservice delivery modelstelemedicineunderserved populations

Identifiers

PMID34279060
PMCPMC8426896

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.