Evidence map›Paper›PMID 37425486›Full record

ArticleJAMIA open2023

Women's perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare.

Meghan Reading Turchioe, Sarah Harkins, Pooja Desai, Shiveen Kumar, Jessica Kim, Alison Hermann, Rochelle Joly, Yiye Zhang, Jyotishman Pathak, Natalie C Benda

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Meghan Reading TurchioeColumbia University School of Nursing, New York, New York, USA.ORCID https://orcid.org/0000-0002-6264-6320
Sarah HarkinsColumbia University School of Nursing, New York, New York, USA.
Pooja DesaiDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.ORCID https://orcid.org/0000-0002-4510-4896
Shiveen KumarCornell University, Ithaca, New York, USA.
Jessica KimDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Alison HermannDepartment of Psychiatry, Weill Cornell Medicine, New York, New York, USA.
Rochelle JolyDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, USA.
Yiye ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Natalie C BendaColumbia University School of Nursing, New York, New York, USA.
Cornell University · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate women's attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healthcare, stratifying by previous pregnancy. Survey respondents (

Indexed as

artificial intelligencebioethicsmental healthtrustwomen’s health

Identifiers

PMID37425486
PMCPMC10329494
OpenAlexW4383618319

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.