Study protocol of the e-Intervention Enhancing Mental Health in Adolescents (IMPROVA) project: a randomised controlled trial to promote adolescents’ mental health and well-being in four European countries

Introduction This trial aims to evaluate the impact of the IMPROVA intervention programme in improving mental health, quality of life, and well-being in adolescents enrolled in secondary schools in four European countries. Methods and analysis The IMPROVA intervention will be evaluated using a two-arm parallel group pragmatic cluster randomised controlled trial with an intervention and a wait-list control group. Secondary schools in France, Germany, Romania, and Spain were recruited. Originally, we estimated to enrol a total of 6000 students within 64 schools; that is, 16 schools per country. The IMPROVA programme is a multi-level intervention that provides tailored content for adolescents, families, and school staff. This content creates a unified and supportive framework that promotes mental health and social-emotional development among adolescents. A series of implementation strategies was planned to support the uptake of the programme into the education setting and among participants. Study outcomes were assessed at baseline, mid-term (during the intervention), postintervention (primary end point), and will be assessed at postintervention (secondary end-point; 6 months after postintervention). Overall mental health (Strengths and Difficulties Questionnaire) is the primary outcome. Secondary outcomes include: health-related quality of life, depression, anxiety, social isolation, and self-esteem. The trial will be evaluated regarding its effectiveness, cost-effectiveness, implementation, and social return on investment analysis. Ethics and dissemination This study has received the approval of human research ethics committees in France (Comité de Protection des Personnes Ile-de-France VIII”, No. 2024-A00201-46), Germany (Ulm University Ethics Committee, No. 186-24), Romania (The Research Ethics Subcommittee of the Babeș-Bolyai University of Cluj-Napoca, No. 14.146/23.09.2024), and Spain (CEIm Fundació Sant Joan de Déu, No. PIC-61-24). Results will be disseminated through peer-reviewed open-access publications and presentations at national and international conferences. Non-technical summaries will be shared with public health authorities, participants, and stakeholder organisations. All findings will be reported in aggregate form, ensuring no individual participant can be identified. Trial registration number [NCT06556576][1]. [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT06556576&atom=%2Fbmjopen%2F16%2F4%2Fe108674.atom

BMJ Open

New to appear paper on randomization vs model based inference in RCT (by Stephan Senn; preprint available)

https://discourse.datamethods.org/t/royal-statistical-society-discussion-on-randomization-vs-model-based-inference-july-1-2026/28768

#rct #statistics

Royal Statistical Society Discussion on Randomization vs Model Based Inference July 1, 2026

@Stephen announced on LinkedIn he is presenting his paper on randomization vs model based inference before the Royal Statistical Society on July 1, 2026. I thought participants here would be interested, as it will also be presented online. Event info and a link to the preprint can be found here: Next Discussion Meeting ‘Randomisation in Clinical Trials: Is a Pragmatic Compromise between Randomisation- and Model-Based Inference Possible?’ by Stephen Senn ​ Broadway House, Westminster, Lo...

Datamethods Discussion Forum
Today is a very important day for the Rainverse!

It is @LynnSenpai 's birthday! Happy birthday, and thank you for creating comics we love.

It is also Ky's 30th birthday!
https://rainverse.wiki/wiki/Ky(lie)_Coven

We also have the results from last week's Rain Character Tournament:
Ryan Dixon: 19
Emily Rose Bryer: 19
Frank Johnson: 0 (eliminated)
Gerald Broom: 0 (eliminated)
Brett Desrocher: 1 (eliminated)
Gavin Kurz: 18
Ky Coven: 20

Ky wins the match, fittingly on their birthday. We now begin Round 2, where things really heat up.
https://rainverse.wiki/wiki/Rainverse_Wiki#Current_Poll

#Rain #Rainverse #RainverseWiki #Poll #RainCharacterTournament #RainCharacterTournament3 #RCT #RCT3
Ky(lie) Coven - Rainverse Wiki

Kylie/Ky is a genderfluid individual and the younger sibling of Heather Coven. Ky passes so well as male that even Fara was surprised when she found out they were assigned female at birth. Ky, despite being transgender, isn't fully familiar with the terminology themselves. They are also "kinda...

Rainverse Wiki
The results from last week's Rain Character Tournament match are in!

Carmen Jimenez: 13
Kellen Flaherty: 12
Debbie Gero: 9 (eliminated)
Devon Givens: 10
Ellen Parker: 3 (eliminated)
Donna Strongwell: 5 (eliminated)
Madison Vintage: 12

Kellen advances to round 2 for the first time, and Carmen gets her first first-place finish.

You can now vote in the final match of round 1!
https://rainverse.wiki/wiki/Rainverse_Wiki#Current_Poll

#Rain #Rainverse #RainverseWiki #Poll #RainCharacterTournament #RainCharacterTournament3 #RCT #RCT3
Rainverse Wiki

Rainverse Wiki
The results from last week's Rain Character Tournament poll are in!

Allison Regent: 19
Chippy Bryer: 10
Norman Strongwell: 2 (eliminated)
Rob Roberts: 0 (eliminated)
Vincent Valverde: 19
Marcus Flaherty: 3 (eliminated)
Aidyn Vintage: 8

The next match is up, and it's a hard one:
https://rainverse.wiki/wiki/Rainverse_Wiki#Current_Poll

#Rain #Rainverse #RainverseWiki #Poll #RainCharacterTournament #RainCharacterTournament3 #RCT #RCT3
Rainverse Wiki

Rainverse Wiki

pub2calender test1 Ambient AI Scribes in Clinical Practice: A Randomized Trial

📉 Nabla reduced time-in-note by 9.5% compared to controls.
📈 Both AI tools showed improvements in burnouts and task load scores.
🔬 Infrequent inaccuracies observed, necessitating vigilance.
Read full at https://tnyp.me/DkhjcAVB/m
#AIScribes #RCT #ClinicalInnovation

RCT on Impact of Ambient AI on Practitioners' Well-being
📝 38% of 71,487 notes AI-generated
📉 -0.44 points in burnout
🕒 -0.36 hrs/day on notes
📂 Billing code quality improved
Hashtags: #RCT #AmbientAI #PractitionerWellbeing https://tnyp.me/i2GApT1k/m

test 2 AI Scribes in Clinical Practice: A Randomized Trial

📉 Nabla reduced time-in-note by 9.5%
🆙 DAX improved Mini-Z score by 2.83
🧠 Similar performance across platforms

#AITech #Healthcare #RCT

https://tnyp.me/jjCiMbO6/m

Pragmatic RCT on AI to bolster health practitioner wellness
📉 0.44 point reduction in burnout
⏱️ Note time cut by 0.36 hours daily
📊 Improved billing accuracy
#AIinHealthcare #RCT #Pub2Post https://dev.https://tnyp.me/8gyxZLVA/m