How to Minimize Patient Anxiety From Screening Mammography

Optimizing the Patient Experience in Breast Imaging Facilities: AJR Expert Panel Narrative Review

Breast imaging studies are complex examinations for patients and providers. Breast imaging providers and organizations invest significant resources in educating patients and referring physicians to address variability in changing breast cancer screening recommendations, cultural biases, and socioeconomic barriers for patients. The breast imaging examination frequently involves multiple imaging modalities, including interventional procedures, thus requiring multiple room types. Practices need to consider the variables that affect workflow efficiency throughout the process of examination scheduling, performance, interpretation, and results delivery, as well as options in facilities design for creating inviting yet functional environments for patients. Breast imaging appointments provide an opportunity to capture individual breast cancer risk and to engage patients in health education and breast screening awareness. This AJR Expert Panel Narrative Review discusses ways in which breast imaging facilities can optimize a patient's experience throughout the complex process of a breast imaging examination, based on the authors' observations and opinions informed by private and academic breast imaging experience.

Lung cancer screening program factors that influence psychosocial outcomes: A systematic review

OBJECTIVES

Lung cancer screening (LCS) programs are being designed and implemented globally. Early data suggests that the psychosocial impacts of LCS are influenced by program factors, but evidence synthesis is needed. This systematic review aimed to elucidate the impact of service-level factors on psychosocial outcomes to inform optimal LCS program design and future implementation.

METHODS

Four databases were searched from inception to July 2023. Inclusion criteria were full-text articles published in English that reported an association between any program factors and psychosocial outcomes experienced during LCS. Study quality was appraised, and findings were synthesised narratively.

RESULTS

Thirty-two articles were included; 29 studies were assessed at high or moderate risk of bias. Study designs were RCT (n = 3), pre-post (n = 6), cross-sectional (n = 12), mixed-methods (n = 1), and qualitative (n = 10) studies, and conducted primarily in the USA (n = 25). Findings suggested that targeted interventions can improve smoking-related or decisional psychosocial outcomes (e.g., smoking cessation interventions increase readiness/motivation to quit) but impacts of interventions on other psychological outcomes were varied. There was limited evidence reporting association between service delivery components and psychological outcomes, and results suggested moderation by individual aspects (e.g., expectation of results, baseline anxiety). Opportunities for discussion were key in reducing psychological harm.

CONCLUSIONS

Certain program factors are reportedly associated with psychosocial impacts of LCS, but study heterogeneity and quality necessitate more real-world studies. Future work should examine (a) implementation of targeted interventions and high-value discussion during LCS, and (b) optimal methods and timing of risk and result communication, to improve psychosocial outcomes while reducing time burden for clinicians.

Online or Offline: Does It Matter? A Review of Existing Interpretation Approaches and Their Effect on Screening Mammography Metrics, Patient Satisfaction, and Cost

The ideal practice routine for screening mammography would optimize performance metrics and minimize costs, while also maximizing patient satisfaction. The main approaches to screening mammography interpretation include batch offline, non-batch offline, interrupted online, and uninterrupted online reading, each of which has its own advantages and drawbacks. This article reviews the current literature on approaches to screening mammography interpretation, potential effects of newer technologies, and promising artificial intelligence resources that could improve workflow efficiency in the future.