Social Sciences, Interdisciplinary

Article Public, Environmental & Occupational Health

Role of digital health communication, sociodemographic factors, and medical conditions on perceived quality of patient-centered communication

Aisha T. Langford, Kerli Orellana, Nancy Buderer, Katerina Andreadis, Stephen K. Williams

Summary: This study examined the associations between digital health, sociodemographic factors, and medical conditions on patient-centered communication (PCC). The results suggested that age, education level, household income, and history of hypertension were related to the quality of PCC.

PATIENT EDUCATION AND COUNSELING (2024)

Article Ergonomics

Learning about crash causation from countermeasure evaluation: The example of the Queensland minimum passing distance rule

Narelle Haworth

Summary: Close passes by motor vehicles pose threats to the safety and comfort of bicycle riders. Governments in many countries have implemented laws to ensure a minimum distance between vehicles and cyclists during overtaking. This paper discusses the evaluation of a two-year trial in Queensland, Australia, which aimed to understand the circumstances and reasons behind close passes. The study used video observations and experimental studies to gather data and analyze crash causation.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Public, Environmental & Occupational Health

Race differences in patient trust and distrust from audio-recorded cardiology encounters

Sarah V. Hantzmon, Clemontina A. Davenport, Maya N. Das Gupta, Temi A. Adekunle, Sarah E. Gaither, Maren K. Olsen, Sandro O. Pinheiro, Kimberly S. Johnson, Hannah Mahoney, Allison Falls, Lauren Lloyd, Kathryn I. Pollak

Summary: This study examined the impact of racial differences on patient trust and distrust in physician-patient interactions through audio-recorded cardiologist-patient encounters. The results showed that Black patients had lower expressions of trust and a higher level of guardedness compared to White patients. It suggests that White clinicians can improve communication with Black patients to increase expressions of trust.

PATIENT EDUCATION AND COUNSELING (2024)

Article Public, Environmental & Occupational Health

Why affiliation matters: A conversation analysis of complaints calls to the NHS

Bethan Benwell, Maria Erofeeva, Catrin S. Rhys

Summary: This study examined how language choices made by call handlers affect the progress of complaint calls and the stance of the callers. The findings showed that displaying affiliation at relevant moments in the conversation helps advance the call and de-escalate the complaint, while the absence or misplacement of affiliation may lead to escalation. Early intervention in establishing affiliation with the caller's concerns and reasoning is crucial for de-escalation.

PATIENT EDUCATION AND COUNSELING (2024)

Article Social Sciences, Interdisciplinary

Reflection on the application of the Consolidated Framework for Implementation Research to a national policy to improve inclusion of people with disabilities

Delphine Labbe, Amy Heider, Yochai Eisenberg, Robert Gould, Robin Jones

Summary: This paper discusses the barriers faced by people with disabilities in the built environment and the implementation of ADA transition plans in the US. By adapting and modifying the Consolidated Framework for Implementation Research (CFIR), the paper provides a valuable example for evaluating complex social policies beyond the ADA.

EVALUATION AND PROGRAM PLANNING (2024)

Article Social Sciences, Interdisciplinary

Evaluation in design science: A framework to support project studies in the context of University Research Centres

Jose da Assuncao Moutinho, Gabriela Fernandes, Roque Rabechini

Summary: This paper proposes the use of the Delphi method to evaluate an artefact developed under the Design Science paradigm. It evaluates the Ecosystem framework of University Research Centres in Project Studies based on pre-established criteria. The results show consensus among participants on multiple criteria, except for usability.

EVALUATION AND PROGRAM PLANNING (2024)

Article Ergonomics

E-scooters: Still the new kid on the transport block. Assessing e-scooter legislation knowledge and illegal riding behaviour

Petya Ventsislavova, Thom Baguley, Josceline Antonio, Daniel Byrne

Summary: The use of e-scooters is increasing rapidly, but it comes with potential dangers such as collisions and illegal riding behavior. Research shows that e-scooter riders tend to be younger and more prone to engage in illegal riding behavior compared to non-users. Knowledge of current regulations related to e-scooters is limited, especially in areas like parking, speeding, and designated infrastructure. Targeted interventions and educational campaigns are necessary to improve riders' understanding of regulations and promote safer riding practices.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Predicting changes in driving performance in individuals who use cannabis following acute use based on self-reported readiness to drive

Ryan Miller, Timothy Brown, Rose Schmitt, Gary Gaffney, Gary Milavetz

Summary: This study investigated the changes in driving performance following cannabis use, and found that self-reported readiness to drive and previous cannabis use experience can predict some of these changes. However, readiness to drive does not fully explain the observed degradation in performance.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Analysis of pre-crash scenarios and contributing factors for autonomous vehicle crashes at intersections

Qian Liu, Xuesong Wang, Shikun Liu, Chunjun Yu, Yi Glaser

Summary: Intersections are high-risk locations for autonomous vehicles (AVs). Analyzing the pre-crash scenarios and contributing factors of AV crashes at intersections using the association rule method revealed that rear-end and lane change crashes were the most frequently occurring scenarios for AVs. The main contributing factors of these scenarios were identified, such as the location outside the intersection, traffic signal control, autonomous engaged mode, mixed-use or public land, and weekdays. Inadequate stop and deceleration decisions by the AV's automated driving system (ADS) and insufficient collision avoidance decisions in lane change crashes were important causes of these AV crashes.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Review Public, Environmental & Occupational Health

The 'Kidney' model for optimising feedback in undergraduate clinical communication: A meta-ethnographic systematic review

Katherine Miles, Bernadette O'Neill, Shuangyu Li

Summary: This study conducted a meta-ethnography to identify and synthesize guidance for optimizing feedback interactions in undergraduate clinical communication simulations. The findings led to the development of a new Feedback Kidney Model, which can guide medical education and future research on feedback in promoting learning. Incorporating meta-cognitive training and utilizing the model can help improve students' learning and communication with patients through on-site face-to-face feedback.

PATIENT EDUCATION AND COUNSELING (2024)

Article Public, Environmental & Occupational Health

'Symptom-free' when inflammatory bowel disease is in remission: Expectations raised by online resources

Danielle Huisman, Taylor Burrows, Louise Sweeney, Kirsty Bannister, Rona Moss-Morris

Summary: This study found limited information on symptoms during remission of inflammatory bowel disease (IBD) on readily searchable patient websites, which fails to adequately explain the persistence of symptoms during remission for patients.

PATIENT EDUCATION AND COUNSELING (2024)

Article Ergonomics

Exploring the impact of trip patterns on spatially aggregated crashes using floating vehicle trajectory data and graph Convolutional Networks

Jiahui Zhao, Pan Liu, Zhibin Li

Summary: This study proposes a machine learning model to explore the spatial impact of activity patterns on crash counts. The Latent Dirichlet Allocation (LDA) model is used to extract hidden activity patterns from vehicle trajectory data, and the Graph Convolutional Network (GCN) model builds the spatial relationship between multi-source data. Results show that daily vehicle kilometers traveled, road density, population density, commercial activity during weekends, and residential activity during morning peak hours on weekdays are factors associated with crashes.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Improving model robustness of traffic crash risk evaluation via adversarial mix-up under traffic flow fundamental diagram

Rongjie Yu, Lei Han, Mohamed Abdel-Aty, Liqiang Wang, Zihang Zou

Summary: This study focuses on the robustness issue of crash risk evaluation models and proposes countermeasures to enhance it. By generating traffic flow adversarial examples to simulate real-world traffic fluctuations and using a coverage-oriented adversarial training method, the study improves model robustness in imbalanced situations.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Public, Environmental & Occupational Health

Exercising power in the self-management of COPD: A narrative inquiry. Patient and user perspectives

Sarah Delaney, Sylvia Huntley-Moore, Patricia Cronin

Summary: This study used Foucault's conceptual framework to explore how people with COPD exercise power in self-management. The findings show that participants resist power and use knowledge to achieve happiness and health, but their agency is constrained by healthcare professionals.

PATIENT EDUCATION AND COUNSELING (2024)

Article Ergonomics

Crash modification factors of rumble strips on horizontal curves of two-lane rural roads: A propensity scores potential outcomes approach

Tanveer Ahmed, Asif Mahmud, Vikash V. Gayah

Summary: This study uses the propensity score potential outcome framework to investigate the impact of rumble strips on crashes on horizontal curves. The findings suggest that centerline rumble strips reduce sideswipe and head-on crashes but increase run off the road and hit fixed object crashes. Shoulder rumble strips, either alone or in combination with centerline rumble strips, decrease crash frequencies for most types except sideswipe and head-on crashes.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Examining safe spaces for pedestrians and e-bicyclists at urban crosswalks: An analysis based on drone-captured video

Yongjie Wang, Yuqi Jia, Wenqiang Chen, Tao Wang, Airen Zhang

Summary: This study explores the safe spaces maintained by pedestrians and e-bicyclists when crossing streets. Using drone footage, the researchers found that e-bicyclists maintain semi-elliptical safe spaces while pedestrians maintain semi-circular safe spaces, with the sizes of these spaces increasing in proportion to relative speeds. The findings bridge an empirical gap in the existing literature and have practical implications for urban planning, traffic management, and the safety of vulnerable road users.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Vision Zero and Impaired Driving: Near and Longer-Term Opportunities for Preventing Death and Injuries

Anders Lie, Claes Tingvall, Jeffrey P. Michael, James C. Fell, Tho Bella Dinh-Zarr

Summary: Vision Zero aims to eliminate deaths and serious injuries from motor vehicle crashes using a systems approach. Policy and program interventions can motivate drivers to make safe decisions and technology can address risks caused by driver impairment. The safe system within the normal driving envelope can accommodate human errors but cannot compensate for deliberate rule-breaking. The key role of behavioral programs and policies is to motivate safe decisions. There is potential for improvement in implementing programs and policies.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Public, Environmental & Occupational Health

Conversation topics in psychiatric consultations conducted with and without a shared decision-making tool: A qualitative content analysis

Momoka Igarashi, Takayuki Kawaguchi, Takuma Shiozawa, Sosei Yamaguchi

Summary: The study aims to identify conversation topics, who initiated the topics, and differences in topics with and without the use of a shared decision-making (SDM) tool in psychiatric outpatient consultations. The findings show that daily life issues, especially related to work, were the main topics discussed, and the SDM tool seems to facilitate discussion of patients' concerns.

PATIENT EDUCATION AND COUNSELING (2024)

Article Ergonomics

A dynamic test scenario generation method for autonomous vehicles based on conditional generative adversarial imitation learning

Lulu Jia, Dezhen Yang, Yi Ren, Cheng Qian, Qiang Feng, Bo Sun, Zili Wang

Summary: This paper proposes a dynamic test scenario generation method for comprehensive evaluation of autonomous vehicles. By simulating the interaction process between the autonomous vehicle and environmental vehicles, the method can test the autonomous vehicle's ability to cope with dynamic scenarios and reveal its weaknesses.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Optimal planning of safety improvements on road sites belonging to different categories within large networks: An integrated multi-layer framework

Paolo Intini, Nicola Berloco, Stefano Coropulis, Vittorio Ranieri

Summary: Planning road safety interventions on large road networks is a complex process that involves estimating safety performances, identifying sites for improvement, defining types of safety measures, and considering budget constraints. This study proposes an integrated multi-layer framework that addresses these issues and provides the number and type of safety interventions for a wide road network with different road elements. The methodology is applied to a case study, demonstrating its applicability and flexibility for planning purposes.

ACCIDENT ANALYSIS AND PREVENTION (2024)