Factors affecting -individual task prioritisation in a workplace setting

Potential Impact of an Artificial Intelligence-based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample

OBJECTIVE

To evaluate potential screening mammography performance and workload impact using a commercial artificial intelligence (AI)-based triage device in a population-based screening sample.

METHODS

In this retrospective study, a sample of 2129 women who underwent screening mammograms were evaluated. The performance of a commercial AI-based triage device was compared with radiologists' reports, actual outcomes, and national benchmarks using commonly used mammography metrics. Up to 5 years of follow-up examination results were evaluated in cases to establish benignity. The algorithm sorted cases into groups of "suspicious" and "low suspicion." A theoretical workload reduction was calculated by subtracting cases triaged as "low suspicion" from the sample.

RESULTS

At the default 93% sensitivity setting, there was significant improvement (P <.05) in the following triage simulation mean performance measures compared with actual outcome: 45.5% improvement in recall rate (13.4% to 7.3%; 95% CI, 6.2-8.3), 119% improvement in positive predictive value (PPV) 1 (5.3% to 11.6%; 95% CI, 9.96-13.4), 28.5% improvement in PPV2 (24.6% to 31.6%; 95% CI, 24.8-39.1), 20% improvement in sensitivity (83.3% to 100%; 95% CI, 100-100), and 7.2% improvement in specificity (87.2% to 93.5%; 95% CI, 92.4-94.5). A theoretical 62.5% workload reduction was possible. At the ultrahigh 99% sensitivity setting, a theoretical 27% workload reduction was possible. No cancers were missed by the algorithm at either sensitivity.

CONCLUSION

Artificial intelligence-based triage in this simulation demonstrated potential for significant improvement in mammography performance and predicted substantial theoretical workload reduction without any missed cancers.

Barriers to healthy eating among nurses working in hospitals: A meta-synthesis

AIM

To explore the barriers to healthy eating among nurses working in hospitals.

DESIGN

Meta-synthesis.

DATA SOURCES

Published and unpublished papers were identified through electronic searches on PubMed, CINAHL, PsycINFO, Embase, Scopus, COCHRANE Library, Food Science and Technology Abstract, ProQuest Dissertations and Theses and OpenGrey from inception until 6 September 2020. English-language primary qualitative or mixed-method studies on barriers to healthy eating among hospital nurses were included. Mixed-method studies were eligible if their qualitative data were distinguishable. Studies on nursing assistants, enrolled nurses, nursing students, and patient-care assistants were excluded, as well as studies without full-texts, correlational studies, quantitative surveys, exploratory studies, conference abstracts and reviews.

METHODS

The studies were appraised using Critical Appraisal Skills Programme checklist. Qualitative data were extracted using Joanna Briggs Institute Qualitative Data Extraction Tool. Data synthesis followed two stages, meta-summary and meta-synthesis, proposed by Sandelowski & Barroso.

RESULTS

Twelve studies published from 2008 to 2020 involving 618 hospital nurses were included. The meta-summary generated 10 themes, which were meta-synthesized into three interrelated themes: personal barriers (e.g. nonchalance towards unhealthy eating), interprofessional and patient-related barriers (e.g. sharing unhealthy food), and organizational barriers (e.g. overwhelming work demands).

CONCLUSION

Insufficient self-control and self-confidence, nonchalance and negligence towards healthy eating and cultural beliefs that oppose the practice of healthy eating (personal barriers), exposure of unhealthy food practices in wards (interprofessional and patient-related barriers) and hospital cafeterias, overwhelming work exigencies and institutional constraints (organizational barriers) hindered nurses to achieve wholesome healthy eating.

IMPACT

Many hospital nurses' encountered challenges in healthy eating, thereby potentially jeopardizing their health and work performance. The findings emphasized the need of a joint effort by hospital nurses, families and colleagues, and hospital institutions to overcome the barriers to healthy eating faced by the hospital nurses.