Evidence map›Paper›PMID 30871669›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2019

J Lai, Z Dememew, D Jerene, A Abashawl, B Feleke, A M Teklu, A Ruff

Abstract readMulticenter Study
In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

J LaiJohns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Z DememewJohns Hopkins University Technical Support for Ethiopian HIV/AIDS Initiative, Addis Ababa, Management Sciences for Health, Addis Ababa, Ethiopia.
D JereneJohns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, Johns Hopkins University Technical Support for Ethiopian HIV/AIDS Initiative, Addis Ababa, Management Sciences for Health, Addis Ababa, Ethiopia.
A AbashawlJohns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, Johns Hopkins University Technical Support for Ethiopian HIV/AIDS Initiative, Addis Ababa.
B FelekeEthiopia Centers for Disease Prevention and Control, Addis Ababa.
A M TekluJohns Hopkins University Technical Support for Ethiopian HIV/AIDS Initiative, Addis Ababa.
A RuffJohns Hopkins University Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, Johns Hopkins University Technical Support for Ethiopian HIV/AIDS Initiative, Addis Ababa.

Funding

TECHNICAL SUPPORT IN HIV TREATMENT, CARE AND PREVENTION IN ETHIOPIAU2GPS000858 · PS · JOHNS HOPKINS UNIVERSITY · PI RUFF, ANDREA JENAY · 2007 to 2013
$76.5M
Intramural CDC HHS CC999999NCHHSTP CDC HHS U2G PS000858
6 · The paper itself

Abstract

settingSixty-seven government health facilities providing tuberculosis (TB) and human immunodeficiency virus (HIV) services across Ethiopia.

objectiveTo examine clinician barriers to implementing isoniazid preventive therapy (IPT) among people living with HIV.

designA cross-sectional study to evaluate the provider-related factors associated with high IPT coverage at the facility level.

resultsOn bivariate analysis, the odds of high IPT implementation were lower when clinicians felt patients were negatively affected by the side effects of IPT (OR 0.18, 95%CI 0.04-0.81) and perceived that IPT increased multidrug-resistant TB (MDR-TB) rates (OR 0.66, 95%CI 0.44-0.98). The presence of IPT guidelines on site (OR 2.93, 95%CI 1.10-7.77) and TB-HIV training (OR 3.08, 95%CI 1.11-8.53) had a positive relationship with high IPT uptake. In the multivariate model, clinician's perception that active TB was difficult to rule out had a negative association with a high IPT rate (OR 0.93; 95%CI 0.90-0.95).

conclusionsClinician impression that ruling out active TB among HIV patients is difficult was found to be a significant barrier to IPT uptake. Continued advancement of IPT relies greatly on improving the ability of providers to determine IPT eligibility and more confidently care for patients on IPT. Improved clinician support and training as well as development of new TB diagnostic technologies could impact IPT utilization among providers.

Indexed as

AdultAntitubercular AgentsAttitude of Health PersonnelCross-Sectional StudiesEthiopiaFemaleHealth Care SurveysHIV InfectionsHumansIsoniazidMaleMiddle AgedPractice Guidelines as TopicPractice Patterns, Physicians'TuberculosisYoung AdultAntitubercular AgentsIsoniazid

Identifiers

PMID30871669
PMCPMC6822021

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.