ArticleFrontiers in public health2026
Disease burden, influencing factors and trend-based surveillance of needlestick injuries among healthcare workers: a seven-year longitudinal study and intervention evaluation at a tertiary hospital.
Article in Frontiers in public health, 2026. 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Needlestick injuries (NSIs) remain a leading occupational hazard among healthcare workers (HCWs), carrying substantial health and economic burdens. High-throughput procedural settings are particularly vulnerable, yet evidence on setting-specific interventions' effects and durability under healthcare system volatility remains limited. Existing surveillance systems for NSIs struggle to distinguish genuine risk escalation from clinical workload fluctuations. This study aims to characterize the epidemiological and economic burden of NSIs among HCWs, evaluate the effectiveness of safety interventions in the Infusion Center during post-pandemic clinical resurgence, and develop a dynamic NSIs surveillance system. Methods: A 7-year retrospective longitudinal study was conducted at a tertiary hospital across three phases: pre-, intra- and post-COVID-19 pandemic phases (P1, P2, and P3). The Infusion Center, which implemented a multi-component safety intervention bundle, served as the intervention group, with 38 other clinical departments as controls. NSIs incidence was modeled using a generalized linear mixed model (GLMM) with Poisson distribution, incorporating a department-level random intercept, a staff-size offset and hospital-wide clinical volume as a time-varying covariate. A dynamic early warning system was constructed using GLMM-derived, volume-adjusted upper control limits. Results: The Infusion Center exhibited a 22.43-fold higher NSIs risk than controls in P1 (IRR = 22.43, Conclusion: Systematic behavior-based interventions combining leadership accountability, competency training and continuous reinforcement are associated with a sustained reduction in NSIs risk that diverged from the post-pandemic rebound observed across control departments. The dynamic early warning system represents a proof-of-concept approach to volume-adjusted occupational safety surveillance, enabling targeted resource allocation to high-risk departments.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.