Evidence map›Paper›PMID 31268576›Full record

ArticleThe Hastings Center report2019

Qualitative Research on Expanded Prenatal and Newborn Screening: Robust but Marginalized.

Rachel Grob

Abstract read
In one paragraph

Article in The Hastings Center report, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 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

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

  1. Pooled it
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  4. Pooled it
  5. Article
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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

1 author.

Rachel Grob

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

If I told you that screening technologies are iteratively transforming how people experience pregnancy and early parenting, you might take notice. If I mentioned that a new class of newborn patients was being created and that particular forms of parental vigilance were emerging, you might want to know more. If I described how the particular stories told about screening in public, combined with parents' fierce commitment to safeguarding their children's health, make it difficult for problematic experiences with screening to translate into negative opinions about it, you would most likely be intrigued. An extensive qualitative literature documents all these social phenomena, and more, in connection with the spread of prenatal and newborn screening. So why is it, then, that commentators frequently assert that the predicted psychosocial impact of increased screening and testing associated with "the genomic revolution" has been far less severe and worthy of attention than predicted? How can or should social science "evidence" that sits outside adopted measurement conventions be considered? Why is it that summary statements about the psychosocial impact of genomic information often ignore qualitative evidence, or sideline it as relevant only for improving communication among patients, clinicians, and public health systems? This essay addresses such questions, using qualitative research on prenatal and newborn screening as a case study for illustrating the broad methodological, ideological, and dialogical issues at stake.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingHumansInfant, NewbornNeonatal ScreeningParentsPrenatal DiagnosisQualitative ResearchStress, Psychological

Identifiers

PMID31268576
PMCPMC8115092

What OpenQuestion holds

Textmetadata
LicenceTDM
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.