Evidence map›Paper›PMID 32735191›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Modeling the Impact of Recommendations for Primary Care-Based Screening for Latent Tuberculosis Infection in California.

Andrea Parriott, James G Kahn, Haleh Ashki, Adam Readhead, Pennan M Barry, Alex J Goodell, Jennifer Flood, Priya B Shete

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  13. Policy and Public Health : Reducing the Burden of Infectious Diseases.Public health reports (Washington, D.C. : 1974)
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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

8 authors at 4 institutions in 1 country.

Andrea Parriott8785 Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.ORCID 0000-0002-9457-1319
James G Kahn8785 Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Haleh Ashki8785 Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
Adam Readhead117025 Tuberculosis Control Branch, California Department of Public Health, Richmond, CA, USA.
Pennan M Barry117025 Tuberculosis Control Branch, California Department of Public Health, Richmond, CA, USA.
Alex J Goodell8785 School of Medicine, University of California, San Francisco, CA, USA.
Jennifer Flood117025 Tuberculosis Control Branch, California Department of Public Health, Richmond, CA, USA.
Priya B Shete8785 Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA.ORCID 0000-0002-0279-8170
California Department of Public Health · USLee University · USSan Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

ECONOMIC ANALYSIS FOR PREVENTION OF DISEASE (EMPoD)U38PS004649 · PS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAHN, JAMES GUSTAVE · 2014 to 2015
$3.0M
NCHHSTP CDC HHS U38 PS004649
6 · The paper itself

Abstract

objectiveTargeted testing and treatment of persons with latent tuberculosis infection (LTBI) is a critical component of the US tuberculosis (TB) elimination strategy. In January 2016, the California Department of Public Health issued a tool and user guide for TB risk assessment (California tool) and guidance for LTBI testing, and in September 2016, the US Preventive Services Task Force (USPSTF) issued recommendations for LTBI testing in primary care settings. We estimated the epidemiologic effect of adherence to both recommendations in California.

methodsWe used an individual-based Markov micro-simulation model to estimate the number of cases of TB disease expected through 2026 with baseline LTBI strategies compared with implementation of the USPSTF or California tool guidance. We estimated the risk of LTBI by age and country of origin, the probability of being in a targeted population, and the probability of presenting for primary care based on available data. We assumed 100% adherence to testing guidance but imperfect adherence to treatment.

resultsImplementation of USPSTF and California tool guidance would result in nearly identical numbers of tests administered and cases of TB disease prevented. Perfect adherence to either recommendation would result in approximately 7000 cases of TB disease averted (40% reduction compared with baseline) by 2026. Almost all of this decline would be driven by a reduction in the number of cases among non-US-born persons.

conclusionsBy focusing on the non-US-born population, adherence to LTBI testing strategies recommended by the USPSTF and the California tool could substantially reduce the burden of TB disease in California in the next decade.

Indexed as

AdultAge FactorsAntitubercular AgentsCaliforniaEmigrants and ImmigrantsGuideline AdherenceHumansImmunocompromised HostLatent TuberculosisMarkov ChainsMass ScreeningPractice Guidelines as TopicPrimary Health CareResidential FacilitiesRisk AssessmentTuberculosisAntitubercular AgentsguidelinesLTBIsimulation modelingtuberculosistuberculosis elimination

Identifiers

PMID32735191
PMCPMC7407051
OpenAlexW3046280704

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.