ReviewCurrent HIV/AIDS reports2018
eHealth and Prevention of Mother-to-Child Transmission of HIV.
Review in Current HIV/AIDS reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Acceptability, Needs, Concerns, and Barriers to Digital-Based Interventions for the Prevention of Mother-to-Child Transmission of HIV: Systematic Review and Qualitative Meta-Aggregation.JMIR medical informatics · 2025Pooled it
- Trial
- SMS messaging to improve retention and viral suppression in prevention of mother-to-child HIV transmission (PMTCT) programs in Kenya: A 3-arm randomized clinical trial.PLoS medicine · 2021Trial
- Effectiveness of Short Message Service Reminders on Timely Pick-up of Antiretroviral Therapy Among Consenting Persons with HIV in Zambézia Province, Mozambique.AIDS research and human retroviruses · 2026Article
- Coverage and Acceptability of Mobile Phone Messages for Cancer Prevention: a Population-Based Study in a Latin American Country.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022Article
- Strengthening eHealth Systems to Support Universal Health Coverage in sub-Saharan Africa.Online journal of public health informatics · 2021Article
- Accelerating progress towards the elimination of mother-to-child transmission of HIV: a narrative review.Journal of the International AIDS Society · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
purpose of reviewThe goal of this paper is to describe areas in prevention of mother-to-child transmission of HIV (PMTCT) programs that could benefit from ehealth and to summarize current evidence of ehealth effectiveness in PMTCT. RECENT
findingsPMTCT programs require maternal retention, adherence to antiretroviral treatment (ART), and return for infant diagnosis of HIV. eHealth systems for PMTCT could either be integrated within MCH ehealth systems or within HIV adherence ehealth systems. PMTCT ehealth messages need to balance maternal concerns about pregnancy, childbirth, and infant care with need for clinic retention and ART adherence for PMTCT. Health approaches currently being assessed for effects on PMTCT outcomes include SMS, phone reminders, and integration of laboratory results and health worker reminders. Randomized trials are ongoing to determine effect of PMTCT ehealth interventions on retention, adherence, viral suppression, and early infant diagnosis (EID). There is evidence that ehealth for PMTCT improves early retention and EID, while data on long-term outcomes are accruing. PMTCT ehealth interventions may be useful to enhance maternal retention and ART adherence and decrease risk of infant HIV infection. Ongoing clinical trials will be important to determine effectiveness of mhealth approaches in improving PMTCT outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.