ArticleInfectious diseases of poverty2025
Knowledge, practices, and concerns of tuberculosis healthcare workers at primary settings in western China: a multi-center cross-sectional study.
Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundTuberculosis (TB) remains a major global health challenge, and China bearing the world's third-highest burden. TB healthcare workers (TB-HCWs) in primary healthcare (PHC) settings are pivotal for implementing the national TB Control Program (TCP). This study aimed to develop a TB knowledge assessment questionnaire and systematically evaluate TB-HCWs' knowledge, practices, and perceived concerns regarding TCP implementation in western China.
methodsA 30-item TB knowledge questionnaire was developed through item generation, expert consultation, and pilot testing. A multicenter cross-sectional study was conducted among TB-HCWs in Chongqing Municipality, Guizhou Province, and Xizang Zizhiqu from February 2022 to July 2023, using multistage stratified random sampling. A structured survey assessed demographics, TB knowledge, TCP practices, and perceived concerns. Multilevel logistic regression identified factors associated with TCP implementation.
resultsAmong 2807 TB-HCWs, overall TB knowledge was low (38.4%), particularly for TB Treatment (25.1%). Rural TB-HCWs performed better in case management (41.3% vs. 40.1%; P < 0.05) and health education (50.0% vs. 47.1%; P < 0.001), while urban TB-HCWs scored higher in case detection and TB treatment (42.3% vs. 40.9%; P < 0.05). TCP practice implementation generally fell short of national standards, though urban HCWs achieved required levels in first-home visiting (≥ 90%) and health education (≥ 85%). Workforce-intensive services, particularly directly observed therapy, were suboptimally delivered in both settings, especially rural (< 70%). Positive working attitudes and working satisfaction predicted higher implementation across all dimensions [odds ratio (OR) > 1], while rural settings and infrequent training (≤ 1/half-year) were negative predictors (OR < 1). Key concerns included inadequate training, poor public/patient cooperation, insufficient workforce, weak coordination with TB-designated hospitals, and lack of incentives.
conclusionsTB-HCWs in western China face substantial gaps in knowledge and practice that hinder effective PHC-based TCP delivery. Targeted and frequent training, context-specific and patient-centered adherence strategies, improved institutional support, and strengthened community engagement are needed. Future longitudinal studies should evaluate the effectiveness and long-term impact of these interventions to accelerate progress toward national and global End TB targets.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.