Objective Real‐world clinical effectiveness of liraglutide 3.0 mg, in combination with diet and exercise, was investigated 4 and 6 months post initiation. Changes in absolute and percent body weight were examined from baseline. Methods A cohort of liraglutide 3.0 mg initiators in 2015 and 2016 was identified from six Canadian weight‐management clinics. Post initiation values at 4 and 6 months were compared with baseline values using a paired t test. Results The full cohort consisted of 311 participants, with 210 in the ≥ 4‐month persistence group and 167 in the ≥ 6‐month persistence group. Average baseline BMI was 40.7 kg/m2, and weight was 114.8 kg. There was a significant change in body weight 6 and 4 months after initiation of treatment in persistent subjects (≥ 6‐month: −8.0 kg, P < 0.001; ≥ 4‐month: −7.0 kg, P < 0.001) and All Subjects, regardless of persistence (−7.3 kg; P < 0.001). Percentage change in body weight from baseline was −7.1% in the ≥ 6‐month group and −6.3% in the ≥ 4‐month group, and All Subjects lost 6.5% body weight. Of participants in the ≥ 6‐month group, 64.10% and 34.5% lost ≥ 5% and > 10% body weight, respectively. Conclusions In a real‐world setting, liraglutide 3.0 mg, when combined with diet and exercise, was associated with clinically meaningful weight loss.

Objectives: Traditional economic evaluations for most health technology assessments (HTAs) have previously not included environmental outcomes. With the growing interest in reducing the environmental impact of human activities, the need to consider how to include environmental outcomes into HTAs has increased. We present a simple method of doing so. Methods: We adapted an existing clinical-economic model to include environmental outcomes (carbon dioxide [CO 2 ] emissions) to predict the consequences of adding insulin to an oral antidiabetic (OAD) regimen for patients with type 2 diabetes mellitus (T2DM) over 30 years, from the United Kingdom payer perspective. Epidemiological, efficacy, healthcare costs, utility, and carbon emissions data were derived from published literature. A scenario analysis was performed to explore the impact of parameter uncertainty.Results: The addition of insulin to an OAD regimen increases costs by 2,668 British pounds per patient and is associated with 0.36 additional quality-adjusted life-years per patient. The insulin-OAD combination regimen generates more treatment and disease management-related CO 2 emissions per patient (1,686 kg) than the OAD-only regimen (310 kg), but generates fewer emissions associated with treating complications (3,019 kg versus 3,337 kg). Overall, adding insulin to OAD therapy generates an extra 1,057 kg of CO 2 emissions per patient over 30 years. Conclusions: The model offers a simple approach for incorporating environmental outcomes into health economic analyses, to support a decision-maker's objective of reducing the environmental impact of health care. Further work is required to improve the accuracy of the approach; in particular, the generation of resource-specific environmental impacts.

SummaryObjectivesTo estimate the differences between individuals with and without obesity on healthcare resource utilization using two large electronic medical record databases.MethodsData from the UK Clinical Practice Research Datalink and US General Electric Centricity database of adults (≥18 years) with registration date before 01/01/2010. Differences between individuals with and without obesity on 5‐year rates of Primary Care Physician (PCP) contacts, prescriptions and hospitalizations were analysed.ResultsThe study contained 1,878,017 UK and 4,414,883 US individuals. Compared with body mass index (BMI) (18.5–24.9 kg m−2), significant (p < 0.0001) increases in healthcare usage were observed with increasing BMI. Individuals with BMI 30–34.9 kg m−2 had higher PCP contact rate (rate ratios [RR] 1.27 and 1.28 for UK and USA, respectively), higher prescription rate (RR 1.61 and 1.51) and higher hospitalization rate (RR 1.10 and 1.13) than individuals with BMI 18.5–24.9 kg m−2. Individuals with BMI >40 kg m−2 also had higher PCP contact rate (RR 1.56 and 1.64), prescription rate (RR 2.48 and 2.14) and hospitalization rate (RR 1.27 and 1.30) than individuals with BMI 18.5–24.9 kg m−2.ConclusionsThe utilization of healthcare resources is significantly higher in individuals with obesity. A similar trend was observed in both the UK and US cohorts.

Overweight and obesity are associated with increased costs, which are further increased in individuals who also have diabetes. Interventions to prevent overweight and obesity or reduce weight in people who are overweight or obese, and prevent diabetes, should reduce the financial burden.