Evidence map›Paper›PMID 37251024›Full record

ArticleFrontiers in psychology2023

Male and female Asians living with HIV: a text-mining analysis comparing their concerns.

Wei-Ti Chen, Russell Barbour

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Wei-Ti ChenSchool of Nursing, University of California, Los Angeles, Los Angeles, CA, United States.
Russell BarbourCenter for Interdisciplinary Research on AIDS (CIRA), Yale School of Public Health, New Haven, CT, United States.
University of California, Los Angeles · USYale University · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
UCLA-CDU CFARP30AI152501 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCOTT G KITCHEN · 2022 to 2026
$15.6M
NIAID NIH HHS P30 AI152501NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

Introduction: Asians are "a forgotten population" whose HIV prevention and treatment needs have long been ignored. Studies on people living with HIV/AIDS (PLWHA) have primarily reported on physical and psychological conditions among men and gender minorities. Methods: We used data-mining to select words and word patterns from pooled in-depth interviews conducted with 33 women and 12 men ( Results: Disclosure of HIV serostatus was discussed by both genders of PLWHA. Participants were concerned whether they should disclose their diagnosis and how to disclose it to their family members. Specifically, for women, family relationships and financial burdens were discussed most often. In terms of men, HIV disclosure was the key concern followed by disclosure of their sexual preference and concerns over what people were saying about them in the community. Conclusion: This project compared and contrasted concerns of Asian HIV-positive men and women. As healthcare providers promoting self-management by HIV-positive individuals of both genders, it is important to consider that there may be significant differences between them. Future interventions should consider how gender role influences self-management strategies in PLWHA and how support can be targeted to achieve a better quality of life for PLWHA.

Indexed as

antiretroviral therapyAsiansconcernsgenderHIVtext mining

Identifiers

PMID37251024
PMCPMC10213259
OpenAlexW4378745374

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.