Evidence map›Paper›PMID 36287823›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Protecting reproductive health information in the post-Roe era: interoperability strategies for healthcare institutions.

Raman R Khanna, Sara G Murray, Timothy Wen, Kirsten Salmeen, Tushani Illangasekare, Nerys Benfield, Julia Adler-Milstein, Lucia Savage

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Raman R KhannaDepartment of Medicine, UCSF, San Francisco, California, USA.
Sara G MurrayDepartment of Medicine, UCSF, San Francisco, California, USA.
Timothy WenDepartment of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, California, USA.
Kirsten SalmeenMaternal Fetal Medicine, Kaiser Permanente, San Francisco, California, USA.
Tushani IllangasekareDepartment of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, California, USA.
Nerys BenfieldDepartment of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, California, USA.
Julia Adler-MilsteinDepartment of Medicine, UCSF, San Francisco, California, USA.
Lucia SavageOmada Health, Inc., San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On June 24, 2022, the US Supreme Court ended constitutional protections for abortion, resulting in wide variability in access from severe restrictions in many states and fewer restrictions in others. Healthcare institutions capture information about patients' pregnancy and abortion care and, due to interoperability, may share it in ways that expose their providers and patients to social stigma and potential legal jeopardy in states with severe restrictions. In this article, we describe sources of risk to patients and providers that arise from interoperability and specify actions that institutions can take to reduce that risk. Institutions have significant power to define their practices for how and where care is documented, how patients are identified, where data are sent or hosted, and how patients are counseled, and thus should protect patients' privacy and ability to receive medical care that is safe and legal where it is performed.

Indexed as

Abortion, LegalReproductive HealthConfidentialityDelivery of Health CareFemaleHumansPregnancySupreme Court DecisionsUnited Statesabortioninteroperabilitypost-Roepregnancyreproductive rights

Identifiers

PMID36287823
PMCPMC9748529

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.