To assess the feasibility of conducting a cluster randomised controlled trial comparing the effects of Advanced Trauma Life Support (ATLS) and Primary Trauma Care (PTC) with standard care on patient outcomes.

This was a pilot pragmatic three-armed parallel, cluster randomised, controlled trial conducted between April 2022 and February 2023. Patients were followed up for 30 days.

Tertiary care hospitals across metropolitan areas in India.

Adult trauma patients and residents managing these patients were included.

ATLS or PTC training was provided for residents in the intervention arms.

The outcomes were the consent rate, loss to follow-up rate, missing data rates, differences in the distribution between observed data and data extracted from medical records, and the resident pass rate.

Two hospitals were randomised to the ATLS arm, two to the PTC arm and three to the standard care arm. We included 376 patients and 22 residents. The percentage of patients who consented to follow-up was 77% and the percentage of residents who consented to receive training was 100%. The loss to follow-up rate was 14%. The pass rate was 100%. Overall, the amount of missing data for key variables was low. The data collected through observations were similar to data extracted from medical records, but there were more missing values in the extracted data.

Conducting a full-scale cluster randomised controlled trial comparing the effects of ATLS, PTC and standard care on patient outcomes appears feasible, especially if such a trial would use data and outcomes available in medical records.

NCT05417243.

This study addresses the limited evidence of the impact of product characteristics on demand for and the substitutability of electronic cigarettes (e-cigarettes) or heated tobacco products for combusted cigarettes among people who smoke and have newly begun to use e-cigarettes.

A sample of 318 adults who smoke and recently initiated/reinitiated e-cigarette use participated in an online volumetric choice experiment in 2020–2021 to assess stated preferences for consumption and own and cross-price elasticities of three e-cigarette options (cig-a-like, vape pen or tank, closed pod system), heated tobacco product (IQOS) and their usual brand of cigarettes. Product attributes manipulated were price, flavour, level of harm, how well the product reduces cravings to smoke, and how discretely the product can be used. Multilevel zero-inflated negative binomial models were used to model the purchased quantities.

Cigarettes were preferred over all alternatives. However, demand for cig-a-likes, but not IQOS, increased when cigarette prices were higher. Higher prices for e-cigarettes and IQOS did not increase demand for cigarettes. The odds of buying e-cigarettes/IQOS were higher when their harm was stated as low or unknown versus being similar to cigarettes (ie, very high). Other attributes (including various flavour options) were not significantly associated with demand for e-cigarettes or IQOS.

People who smoke and recently began using e-cigarettes might substitute cig-a-likes for cigarettes when cigarette prices are higher. Policies to increase the cost of combusted cigarettes as well as communicate lower relative harm and low absolute harm of e-cigarettes may facilitate switching behaviour.