Give us a hand, mate! A holistic review of research on human-machine teaming.

Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machine teams (HMT) that leverages the capabilities of people and technologies to outperform adversaries. Realising the full potential of these technologies will depend on understanding the relative strengths of humans and machines, and how we design effective integration to optimise performance and resilience across all use cases and environments.

Addressing food insecurity in rural primary care: a mixed-methods evaluation of barriers and facilitators.

Background: Food insecurity (FI) is associated with negative health outcomes and increased healthcare utilization. Rural populations face increased rates of FI and encounter additional barriers to achieving food security. We sought to identify barriers and facilitators to screening and interventions for FI in rural primary care practices.

"Everyone's struggling right now": Impact of COVID-19 on addressing food insecurity in rural primary care.

Background: Primary care practices can address food insecurity (FI) through routine screening, practice-based food programmes, and referrals to community resources. The COVID-19 pandemic had disproportionate impacts on health outcomes for food-insecure households.

Objective: To describe the impact of the COVID-19 pandemic on FI screening and interventions in rural primary care practices in northern New England.

Assessing and Identifying Improvements for Lung Cancer Screening in a Rural Population: A Human-Centered Design and Systems Approach.

Although lung cancer claims more lives than any other cancer in the United States, screening is severely underutilized, with <6% of eligible patients screened nationally in 2021 versus 76% for breast cancer and 67% for colorectal cancer. This article describes an effort to identify key reasons for the underutilization of lung cancer screening in a rural population and to develop interventions to address these barriers suitable for both a large health system and local community clinics. Data were generated from 26 stakeholder interviews (clinicians, clinical staff, and eligible patients), a review of key systems (Electronic Health Record and billing records), and feedback on the feasibility of several potential interventions by health care system staff.

Demoralization syndrome and its impact factors among cancer patients in China.

Purpose: This study aimed to investigate the status of demoralization syndrome among cancer patients and explore the key factors influencing demoralization syndrome.

Method: Cross-sectional study design of cancer patients in Xiamen, China. Patients completed the Mandarin version of the Perceived Social Support Scale, Patient-Reported Outcome Measures, The Anderson Symptom Inventory, and the Demoralization Scale.