Concentration of care and collaborations between hospitals increasingly reorganise oncological care into Comprehensive Cancer Networks (CCNs), aiming to improve care outcomes and reduce costs. This study aims to evaluate the effect of four CCNs on healthcare cost and outcomes for patients with colon or pancreatic cancer.

We performed a retrospective cohort study based on claims data in the Netherlands. Data included patient characteristics, health insurance claims and healthcare activities. All costs were indexed to Euro 2023. We performed propensity score matching per CCN and applied regression models with a difference-in-difference design, adjusting for non-linear trends before the start of a CCN.

The study was conducted within the Dutch healthcare system, analysing claims data representative of hospital-based cancer care.

A total of 92 309 patients with colon cancer and 25 630 patients with pancreatic cancer were included. Patients were identified through health insurance claims between January 2013 and June 2021.

Implementation of four CCNs, which included structured collaboration between healthcare organisations. Follow-up duration was 2 years post-diagnosis.

Primary outcomes included 2-year oncological healthcare costs and 2-year mortality rate. Secondary outcomes involved care process indicators: referral rates and double diagnostics (an identical diagnostic activity performed within 4 weeks after referral to a secondary hospital).

For colon cancer, one CCN showed a significant decrease in 2-year oncological costs (–1899). One CCN showed a significant decrease in referrals (–3.6%) and one a significant increase (+4.4%). No significant effect on 2-year mortality and double diagnostic activities was found. For pancreatic cancer, one CCN showed a significant decrease in 2-year oncological costs (–3747) and one CCN showed a significant increase in double diagnostic activities (+8.6%). No significant effect on referrals and 2-year mortality was found.

CCNs do not consistently reduce costs or affect referral patterns or redundant diagnostics. No impact on mortality was found. Additional insights into determinants of CCN success are required before broad implementation is warranted.

To determine whether a biopsychosocial model of suicidality, specifically sleep, nutrition, physical exercise, mindfulness, social connectedness, lower socioeconomic status (SES) and sex are uniquely associated with increased suicidal ideation, longitudinally over adolescence.

Longitudinal, prospective cohort study.

A structured self-report questionnaire was collected as part of the Longitudinal Adolescent Brain Study at the University of the Sunshine Coast’s Thompson Institute (Queensland, Australia) from July 2018 to January 2024.

159 Australian adolescents (n=91 female; 68 male) aged 12 to 17 years.

Self-reported suicidal ideation was measured longitudinally. Data were also collected on self-reported lifestyle factors (sleep, nutrition, physical exercise, mindfulness and social connectedness), psychological distress, SES and sex. All measures were collected at 4-monthly intervals for each participant for up to 5 years (maximum of 15 time points).

Significant relationships were identified between increased suicidal ideation and poor sleep (OR 2.6, 95% CI 1.4 to 4.6, p=0.002), socioeconomic disadvantage (SES quintile 1: OR 6.3, 95% CI, 1.8 to 21.8, p=0.004; SES quintile 2: OR 8.7, 95% CI 1.4 to 56.2, p=0.022), psychological distress (OR 5.7, 95% CI 2.1 to 15.6, p≤0.001) and eating habits (β –0.08, 95% CI –0.2 to –0.0).

Poor sleep, socioeconomic disadvantage, psychological distress and eating habits were all found to be significantly associated with increased adolescent suicidal ideation over time. These biopsychosocial factors should be considered in targeted interventions and policies for reducing adolescent suicidality. Further research should employ multilevel modelling to examine factor interactions and rigorously evaluate interventions targeting lifestyle factors and socioeconomic inequalities through randomised controlled trials and quasi-experimental designs.