Evidence map›Paper›PMID 31020604›Full record

ArticleJournal of general internal medicine2019

A Cross-sectional Survey of Internal Medicine Resident Knowledge, Attitudes, Behaviors, and Experiences Regarding Pre-Exposure Prophylaxis for HIV Infection.

Christopher Terndrup, Carl G Streed, Perry Tiberio, Marissa Black, John Davis, Ariella Apfel, Oni J Blackstock, E Jennifer Edelman, Gail Berkenblit

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

9 authors at 9 institutions in 1 country.

Christopher TerndrupDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Oregon Health and Sciences University, Portland, OR, USA. terndrup@ohsu.edu.
Carl G StreedSection of General Internal Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Perry TiberioDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Marissa BlackDivision of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA, USA.
John DavisDivision of Infectious Disease, Department of Medicine, University of California at San Francisco, San Francisco, CA, USA.
Ariella ApfelDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Oni J BlackstockMontefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.
E Jennifer EdelmanDivision of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Gail BerkenblitDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Boston University · USColumbia University Irving Medical Center · USJohns Hopkins Medicine · USJohns Hopkins University · USMontefiore Medical Center · USOregon Health & Science University · USUniversity of California, San Francisco · USUniversity of Washington · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundPre-exposure prophylaxis (PrEP) for HIV is effective, yet many providers continue to lack knowledge and comfort in providing this intervention. It remains unclear whether internal medicine (IM) residents receive appropriate training in PrEP care and if this affects their future practices.

objectiveWe sought to evaluate the relationship between current IM residents' prior PrEP training and knowledge, comfort, and practice regarding the provision of PrEP. DESIGN AND

participantsWe created an online survey to assess IM residents' knowledge, attitudes, and behaviors related to PrEP. The survey was distributed among five IM programs across the USA. KEY

resultsWe had a 35% response rate. Of 229 respondents, 96% (n = 220) had heard of PrEP but only 25% (n = 51) had received prior training and 11% (n = 24) had prescribed PrEP. Compared with those without, those with prior training reported good to excellent knowledge scores regarding PrEP (80% versus 33%, p < 0.001), more frequent prescribing (28% versus 7%, p = 0.001), and higher comfort levels with evaluating risk for HIV, educating patients, and monitoring aspects of PrEP (75% versus 26%, 56% versus 16%, and 47% versus 8%, respectively; all p values < 0.0001). While only 25% (n = 51) had received prior training, 75% (n = 103) of respondents reported that training all providers at their continuity clinic sites would improve implementation.

conclusionsWe found that prior training was associated with higher levels of self-reported PrEP knowledge, comfort, and prescribing behaviors. Given the significant need for PrEP, IM residents should be trained to achieve adequate knowledge and comfort levels to prescribe it. This study demonstrates that providing appropriate PrEP training for IM residents may lead to an increase in the pool of graduating IM residents prescribing PrEP.

Indexed as

Attitude of Health PersonnelHealth Knowledge, Attitudes, PracticeCross-Sectional StudiesFemaleHIV InfectionsHumansInternal MedicineInternship and ResidencyMalePre-Exposure ProphylaxisHIV pre-exposure prophylaxisresident education

Identifiers

PMID31020604
PMCPMC6614306
OpenAlexW2941062569

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.