Evidence map›Paper›PMID 33817768›Full record

ReviewCurrent HIV/AIDS reports2021

Use of eHealth for HIV Medical Education: a Narrative Review.

Pawandeep Kaur, Rebecca L West, Megan B Ivankovich, Christopher J Gill, Lora Sabin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current HIV/AIDS reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Pawandeep KaurDepartment of Global Health, Boston University School of Public Health, 801 Massachusetts Avenue, Crosstown Center, 3rd Floor, Boston, MA, 02118, USA. kaurp@bu.edu.ORCID 0000-0001-9466-9415
Rebecca L WestDoctor of Public Health Program, Boston University School of Public Health, Boston, MA, USA.
Megan B IvankovichDoctor of Public Health Program, Boston University School of Public Health, Boston, MA, USA.
Christopher J GillDepartment of Global Health, Boston University School of Public Health, 801 Massachusetts Avenue, Crosstown Center, 3rd Floor, Boston, MA, 02118, USA.
Lora SabinDepartment of Global Health, Boston University School of Public Health, 801 Massachusetts Avenue, Crosstown Center, 3rd Floor, Boston, MA, 02118, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe complexity of HIV care and its expanding clinical workforce has created a need for new distance learning models to deliver medical education. We conducted a narrative review to assess the acceptability and effectiveness of recent eHealth HIV education interventions supporting HIV healthcare providers. RECENT

findingsEvidence from 24 articles revealed that synchronous (real time), asynchronous (any time), and hybrid (combination) models of eHealth education are feasible and acceptable. Only two interventions (one asynchronous, one hybrid) of 19 included in the review utilized a randomized controlled design. Some studies showed improvement in confidence and perceived quality of case management, but few studies were designed to demonstrate impact. Successful eHealth education interventions require a thorough understanding of the target community's capacity and needs. Both synchronous and asynchronous strategies appear acceptable and potentially effective, but more studies are needed to assess impact on knowledge and practices to determine the most effective delivery models.

Indexed as

Education, MedicalHIV InfectionsTelemedicineHealth PersonnelHumansCMEContinuing medical educationeHealthHIVMedical educationNarrative review

Identifiers

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.