Evidence map›Paper›PMID 30055593›Full record

ArticleBMC public health2018

Factors associated with treatment delay among newly diagnosed tuberculosis patients in Dessie city and surroundings, Northern Central Ethiopia: a cross-sectional study.

Abdurahaman Seid, Yeshi Metaferia

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04298905 (Leveraging mHealth to Enable and Adapt Community Health Worker Strategies to Improve TB/HIV Patient Outcomes in South Africa), which is not on this map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
4.0field-weighted citation impact, top 5% 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.

NCT04298905 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

Leveraging mHealth to Enable and Adapt Community Health Worker Strategies to Improve TB/HIV Patient Outcomes in South Africa (LEAP-TB-SA) Trial

TypeinterventionalSponsorJohns Hopkins UniversityRan2022 to 2026Enrolled62ConditionsAdherence, Patient, TB, HIV/AIDS, Care CoordinationArmsCHW mHealth patient intervention for trigger escalation
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 60 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

2 authors at 1 institution in 1 country.

Abdurahaman SeidDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, P.O. Box 1145, Dessie, Ethiopia. nebat_abdurae2003@yahoo.com.
Yeshi MetaferiaDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, P.O. Box 1145, Dessie, Ethiopia.
Wollo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelayed treatment of tuberculosis (TB) cases increases the risk of death and rate of infection in the community. Early diagnosis and initiation of treatment is essential for effective TB control. The aim of this study was to assess length of delays and analyze predictors of treatment delay of newly diagnosed TB patients.

methodsA cross-sectional study was conducted in Dessie city and surroundings from April1, 2016 to January 30, 2017. Fifteen health facilities of study area were selected randomly and 382 adult TB patients were included consecutively. Data were collected using a questionnaire and analyzed using SPSS version 20.0. Delay was analyzed at three levels (patient, health system and total) using median as cut-off. Logistic regression analysis was performed to investigate predictors of delays. A p-value of ≤0.05 at multivariate analysis was considered statistically significant.

resultsThe median total, patients' and health system's delay was 36 [interquartile range (IQR): 24, 64], 30 (IQR: 15, 60) and 6 (IQR: 4, 8) days, respectively. About 41 and 47% of patients had prolonged patients' and total delay, respectively. Practicing self-medication [adjusted odds ratio (AOR): 3.0; 95% CI: 1.3-5.6], having more than three family member in the household (AOR: 1.6; 95% CI: 1.02-2.50), older age (≥55 years) (AOR: 2.7; 95% CI: 1.27-5.83), being smear negative pulmonary tuberculosis (AOR: 2.3; 95% CI: 1.25-4.21) and extrapulmonary tuberculosis (AOR: 2.3; 95% CI: 1.28-4.07) were independent predictors of patients' delay. Initial visit of general practitioners (AOR: 2.57; 95% CI: 1.43-4.63) and more than one health care visit (AOR: 2.12; 95% CI: 1.30-3.46) were independent predictors of health system's delay. However, patients' delay was shorter among widowed/divorced patients (AOR: 0.3; 95% CI: 0.1-0.8). Lower level of education [illiterate (AOR: 0.42; 95% CI: 0.20-0.92), grade 1-8 (AOR: 0.38; 95% CI: 0.18-0.81)] and diagnosis of TB using a chest X-ray (AOR, 0.32; 95% CI, 0.16-0.68) significantly reduce health system's delay.

conclusionAbout half of TB patients delayed beyond 36 days before starting treatment, and the late patient health seeking behavior was the major contributor of total delay. Development and implementation of strategies aimed at addressing identified factors should be recognized in order to reduce TB treatment delay. Further well designed research is needed to explore additional risk factors of delayed treatment.

Indexed as

AdultAgedAntitubercular AgentsCitiesCross-Sectional StudiesEthiopiaFemaleHealth FacilitiesHumansLogistic ModelsMaleMiddle AgedOdds RatioPatient Acceptance of Health CareSurveys and QuestionnairesTime FactorsAntitubercular AgentsDelay predictorsEthiopiaHealth system’s delayPatients’ delayTuberculosis

Identifiers

PMID30055593
PMCPMC6064094
OpenAlexW2884799364

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.