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Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation

Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation

The researchers will work with staff leads or R&D contacts at each trust. The staff leads (or research nurses, if available) will contact potential patients and caregivers who meet the eligibility criteria (by telephone, email, or post) to share a study advert and see if they would be interested in participating in the study.

Angus I G Ramsay, Chris Sherlaw-Johnson, Kevin Herbert, Stuti Bagri, Malina Bodea, Nadia Crellin, Holly Elphinstone, Amanda Halliday, Nina Hemmings, Rachel Lawrence, Cyril Lobont, Pei Li Ng, Joanne Lloyd, Efthalia Massou, Raj Mehta, Stephen Morris, Jenny Shand, Holly Walton, Naomi J Fulop

JMIR Res Protoc 2025;14:e81421


The PrEP Pharmacy Reach Study: Protocol for the Creation of Maps to Visualize the Impact of Expanding Access to HIV Prevention Services Through Pharmacies

The PrEP Pharmacy Reach Study: Protocol for the Creation of Maps to Visualize the Impact of Expanding Access to HIV Prevention Services Through Pharmacies

To better distinguish spatial boundaries, county borders were then layered on top for both states and cities, followed by additional boundaries for zip code borders for cities (Figures 1 D, 2 C and D). The next layer was a dot density plot for pharmacies, where one point corresponded to five pharmacy locations to better visualize locations given the generally large number of existing pharmacies (Figures 1 E and 2 E).

Kristin R V Harrington, Chante Hamilton, Daniel I Alohan, Alexis Hudson, Henry N Young, Natalie D Crawford

JMIR Public Health Surveill 2025;11:e75077


Correcting for the Inflated Adult Population Denominator in an English Nationwide Health Care Cohort: Database Analysis Study

Correcting for the Inflated Adult Population Denominator in an English Nationwide Health Care Cohort: Database Analysis Study

NHS D: GDPPR data from the NHS Digital Trusted Research Environment. In our bias analysis, for a hypothetical VE study, we assumed an analytic dataset of 10,000 individual records. In Scenario A (reference case), we correctly excluded all inactive records, analyzing only the 9700 active patients. With 60% vaccination coverage, a 1% event rate among vaccinated and a 5% event rate among unvaccinated individuals, we calculated a true VE of 70%.

Sudhir Venkatesan, Mark Joy, Gavin Jamie, Debasish Kar, Robert Williams, Xuejuan Fan, Wilhelmine Meeraus, Ruby S M Tsang, Kathryn S Taylor, Sylvia Taylor, F D Richard Hobbs, Sneha N Anand, Chris Robertson, Simon de Lusignan

JMIR Public Health Surveill 2025;11:e64788