Publications by authors named "N Curran"

Background: People of African and Caribbean heritage in the UK have a higher prevalence of Type 2 Diabetes (T2D) and poorer health outcomes than white Europeans. Healthy Eating and Active Lifestyles for Diabetes Online (HEAL-D Online) is a co-designed, culturally tailored T2D self-management programme for black African and Caribbean adults, which, due to online delivery, is well positioned for spread. This qualitative evaluation uses the Exploration-Preparation-Implementation-Sustainment (EPIS) framework to explore factors affecting scale-up from delivery and commissioning perspectives.

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Objectives: To assess the feasibility and acceptability of delivering Healthy Eating and Active Lifestyles for Diabetes (HEAL-D) Online.

Intervention: HEAL-D Online-a 7-week culturally tailored type 2 diabetes educational programme delivered using online platform.

Setting: Programme delivered by a London NHS trust, with patients referred from primary care healthcare professionals via a central booking system.

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As a first step in preparing for the return of samples from the Moon by the Artemis Program, NASA initiated the Apollo Next Generation Sample Analysis Program (ANGSA). ANGSA was designed to function as a low-cost sample return mission and involved the curation and analysis of samples previously returned by the Apollo 17 mission that remained unopened or stored under unique conditions for 50 years. These samples include the lower portion of a double drive tube previously sealed on the lunar surface, the upper portion of that drive tube that had remained unopened, and a variety of Apollo 17 samples that had remained stored at -27 °C for approximately 50 years.

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Objectives: To assess if participation in a North Carolina produce prescription program for Supplemental Nutrition Assistance Program (SNAP) participants with diet-sensitive health conditions (SuperSNAP) is associated with changes in purchase composition and spending source.

Methods: This study used loyalty-card transaction data (October 2019-April 2022). We applied a linear mixed-effects model with overlap weights to perform a difference-indifferences analysis of purchases by SuperSNAP program enrollees compared to the control group.

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Article Synopsis
  • The study introduced the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool aimed at evaluating the quality of health information from AI platforms, highlighting the need for such assessments as AI use expands in healthcare.
  • QAMAI was validated through a rigorous process involving 27 reviewers who evaluated responses generated by ChatGPT4, demonstrating strong reliability and validity metrics, including a high internal consistency (Cronbach's alpha = 0.837) and excellent inter-rater reliability (ICC = 0.983).
  • The successful validation of QAMAI suggests it could be an important resource for healthcare professionals as more patients turn to AI for medical information, helping ensure they receive quality data.
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