Related Experiment Video For Cancer screening
Updated: Jun 30, 2025

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
Promoting Lung Cancer Screen Decision-Making and Early Detection Behaviors: A Systematic Review and Meta-analysis
Xiujing Lin1, Fang Lei, Jialing Lin
1Author Affiliations: School of Nursing, Fujian Medical University (Mss X Lin, J Lin, Li, and Q Chen, and Dr Huang), Fuzhou, China; School of Nursing, University of Minnesota (Dr Lei), Twin Cities, Minneapolis; and School of Nursing, University of California Los Angeles (Dr W-T Chen and Ms Arbing).
Background:
Promoting lung cancer screening (LCS) is complex. Previous studies have overlooked that LCS behaviors are stage based and thus did not identify the characteristics of LCS interventions at different screening stages.
Objective:
The aims of this study were to explore the characteristics and efficacy of interventions in promoting LCS decision making and behaviors and to evaluate these interventions.
Methods:
We conducted a study search from the inception of each bibliographic database to April 8, 2023. The precaution adoption process model was used to synthesize and classify the evidence. The RE-AIM framework was used to evaluate the effectiveness of LCS programs. Heterogeneity tests and meta-analysis were performed using RevMan 5.4 software.
Results:
We included 31 studies that covered 4 LCS topics: knowledge of lung cancer, knowledge of LCS, value clarification exercises, and LCS supportive resources. Patient decision aids outperformed educational materials in improving knowledge and decision outcomes with a significant reduction in decision conflict (standardized mean difference, 0.81; 95% confidence interval, -1.15 to -0.47; P < .001). Completion rates of LCS ranged from 3.6% to 98.8%. Interventions that included screening resources outperformed interventions that used patient decision aids alone in improving LCS completion. The proportions of reported RE-AIM indicators were highest for reach (69.59%), followed by adoption (43.87%), effectiveness (36.13%), implementation (33.33%), and maintenance (9.68%).
Conclusion:
Evidence from 31 studies identified intervention characteristics and effectiveness of LCS interventions based on different stages of decision making.
Implications For Practice:
It is crucial to develop targeted and systematic interventions based on the characteristics of each stage of LCS to maximize intervention effectiveness and reduce the burden of lung cancer.
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