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Background: eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.

Objective: This review aimed to explore families' experiences with family-focused web-based interventions for improving health.

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Health Care Delivery and Financial Considerations in Amyotrophic Lateral Sclerosis Clinics: A Survey of Clinic Directors.

Neurology

February 2025

From the Temple University College of Public Health (I.L.H.); Thomas Jefferson University (G.G.); and Department of Neurology (T.D.H.-P.), Lewis Katz School of Medicine at Temple University, Philadelphia, PA.

Background And Objectives: Clinical care for people living with amyotrophic lateral sclerosis (PLWALS) is directed at slowing disease progression and symptom management. The American Academy of Neurology recommends a multidisciplinary approach to providing ALS health care because observational studies show that multidisciplinary clinics (MDCs) extend survival and improve quality of life. However, providing multidisciplinary care is a challenging financial proposition.

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Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.

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Background: Anemia in pregnancy is an important public health challenge; however, it has not been thoroughly studied in Georgia. We assessed the prevalence of anemia during pregnancy across Georgia and the association between anemia in the third trimester of pregnancy and adverse maternal outcomes.

Methods: We used data from the Georgian Birth Registry and included pregnant women who delivered between January 1, 2019, and August 31, 2022 (n = 158,668).

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Background: Artificial intelligence (AI) is anticipated to play a significant role in criminal trials involving citizen jurors. Prior studies have suggested that AI is not widely preferred in ethical decision-making contexts, but little research has compared jurors' reliance on judgments by human judges versus AI in such settings.

Objectives: This study examined whether jurors are more likely to defer to judgments by human judges or AI, especially in cases involving mitigating circumstances in which human-like reasoning may be valued.

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