Evidence map›Paper›PMID 31242078›Full record

ArticleHealth care for women international2020

Examining engagement in care of women living with HIV in South India.

Sara Chandy, Elsa Heylen, B N Ravikumar, Maria L Ekstrand

Open access · greenAbstract read
In one paragraph

Article in Health care for women international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

Sara ChandyDepartment of Medicine, St. John's Medical College, Bangalore, India.ORCID 0000-0002-1433-8120
Elsa HeylenDepartment of Medicine, University of California, San Francisco, CA, USA.
B N RavikumarKarnataka State AIDS Prevention Society, Bangalore, India.
Maria L EkstrandDepartment of Medicine, University of California, San Francisco, CA, USA.
University of California, San Francisco · USSt.John's Medical College Hospital · IN

Funding

Tel-Me-Box: Validating and testing a novel, low-cost, real-time monitoring device with hair level analysis among adherence-challenged patientsR01MH109310 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EKSTRAND, MARIA L., GANDHI, MONICA · 2016 to 2020
$3.1M
Enhancing HIV treatment adherence in Bangalore: The Chetana studyR01MH095659 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EKSTRAND, MARIA L. · 2011 to 2016
$2.4M
NIMH NIH HHS R01 MH095659NIMH NIH HHS R01 MH109310
6 · The paper itself

Abstract

HIV seropositive adherence-challenged women, who reported being on ART for at least four months were interviewed. Data on healthcare history, anti-retroviral therapy, clinic visits, doctor communication, disclosure and fear of stigma were collected. Better engagement in care was significantly more likely among older women, ≥ 10 years of education, higher income, HIV status disclosure to family, with higher community stigma fears and fewer healthcare access barriers. To promote retention, women may be encouraged to consider disclosing their HIV serostatus to supportive household members. A variety of possible interventions to overcome the prevalent barriers to care are provided.

Indexed as

Antiretroviral Therapy, Highly ActiveSocial StigmaAdultAgedAnti-HIV AgentsCross-Sectional StudiesFearFemaleHealth Services AccessibilityHIV InfectionsHumansIndiaInterviews as TopicMedication AdherenceMiddle AgedPatient ParticipationAnti-HIV Agents

Identifiers

PMID31242078
PMCPMC6930983
OpenAlexW2955469169

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.