Evidence map›Paper›PMID 39695401›Full record

ArticleBMC infectious diseases2024

TB treatment delays and associated risk factors in Dushanbe, Tajikistan, 2019-2021.

Radzhabali Sharifov, Dilyara Nabirova, Zulfiya Tilloeva, Sanam Zikriyarova, Nishant Kishore, Navruz Jafarov, Salomuddin Yusufi, Roberta Horth

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Impact of Social Determinants of Health on the Incidence of Tuberculosis in Central Asia.International journal of environmental research and public health · 2026
    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

8 authors.

Radzhabali SharifovAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Dilyara NabirovaAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Zulfiya TilloevaMunicipal Disinfection Station, Dushanbe, Tajikistan.
Sanam ZikriyarovaAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Nishant KishoreGlobal Immunizations Division, U.S. Centers for Disease Control and Prevention, Atlanta, USA.
Navruz JafarovMinistry of Health and Social Protection of the Republic of Tajikistan, Dushanbe, Tajikistan.
Salomuddin YusufiMinistry of Health and Social Protection of the Republic of Tajikistan, Dushanbe, Tajikistan.
Roberta HorthAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan. hxw5@cdc.gov.

Funding

CDC HHS GH20-2108
6 · The paper itself

Abstract

backgroundIn Tajikistan, where there are about 8,000 cases annually, many new cases are being diagnosed with severe disease, indicating a delay in receiving care. We aimed to estimate the proportion with delayed care and the main factors contributing to delayed care.

methodsUsing a retrospective cohort design, we conducted a study that included all people aged over 15 years who were newly diagnosed with pulmonary TB in Dushanbe from 2019 to 2021. We defined 'patient delay' as > 14 days from TB symptom onset to the first provider visit and 'provider delay' as > 3 days from the first visit to treatment initiation. Data was abstracted from medical records and participants were interviewed in-person. Multivariable negative binomial regression was used to estimate adjusted risk ratios (aRR) and 95% confidence intervals (CI).

resultsOf 472 participants, 49% were male, 65% had lung tissue cavitation, 33% had drug resistant TB, 11% had diabetes, 4% had HIV, and. Reported cases dropped from 196 in 2019 to 109 in 2020 and increased to 167 in 2021. The proportion of people experiencing patient delays was 82%, 72%, and 90% per year, respectively. The proportion of provider delays was 44%, 41% and 29% per year. Patient delay was associated with year (aRR: 1.09 [CI:1.02-1.18] in 2021 vs. 2019), age (aRR:0.91 [0.82-0.99] for 40-59-year-olds vs. 15-39-year-olds), having HIV (aRR:1.22 [1.08-1.38]), having blood in sputum (aRR:1.19 [1.10-1.28]), chest pain (aRR:1.32 [1.14-1.54]), having at least two structural barriers vs. none (aRR:1.52 [1.28-1.80]), having one of the following barriers: long wait lines (aRR:1.36 [1.03-1.80]), feeling that healthcare services were expensive (aRR:1.54 [1.28-1.85]), or having no time or too much work (aRR:1.54 [1.29-1.84]). Provider delay was associated with year (aRR: 0.67 [0.51-0.89] in 2021 vs. 2019), patients having to pay for X-ray services (aRR: 1.59 [1.22-2.07]) and lacking direct-observed-therapy (DOTS) in facility (aRR: 1.61 [1.03-2.52]).

conclusionsPatient delay was high before the COVID-19 pandemic and increased in 2021, while provider delay decreased during this time. Addressing structural barriers to healthcare services, such as increased DOTS facilities, expanded hours, and zero fees, may decrease delays.

Indexed as

Time-to-TreatmentTuberculosis, PulmonaryAdolescentAdultAgedAntitubercular AgentsFemaleHIV InfectionsHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTajikistanTreatment DelayTuberculosis, Multidrug-ResistantAntitubercular AgentsCOVID-19Health care system delayPatient delayTajikistanTuberculosis

Identifiers

PMID39695401
PMCPMC11653938

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.