跳至主要内容
临床试验/NCT07820800
NCT07820800尚未招募不适用

Effectiveness and Cost-Effectiveness of NMR Metabolomics-Based Risk Assessment and Stratified Preventive Digital and Guideline-Directed Interventions in a Middle-Aged Population: A Population Cohort Study With an Embedded Pragmatic Randomised Trial and Health Economic Evaluation

University of Eastern Finland0 个研究点目标入组 1,400 人开始时间: 2026年9月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
尚未招募
入组人数
1,400
主要终点
NMR-derived disease-specific 10-year risk predictions

研究概览

简要总结

PREMAP invites residents of the Eloisa region (South Savo, Finland) turning 45, 50, or 55 years of age in 2026 to undergo a blood-based NMR metabolomics risk assessment for five interlinked cardio-renal-metabolic conditions (type 2 diabetes, coronary heart disease/myocardial infarction, stroke/cardiovascular disease, chronic kidney disease, and fatty liver disease), alongside a mental wellbeing assessment (WHO-5 Well-Being Index). Based on this risk profile, participants are classified as low, moderate, or high multi-disease risk. Participants at moderate or high risk are individually randomized in a 1:1:1 ratio to one of three digital health interventions for up to 12 months: a habit-based lifestyle application (BitHabit), a structured digital lifestyle coaching programme (Onnikka), or a guideline-based digital self-care pathway (Oma Eloisa, comparator). Participants at high risk additionally receive a physician consultation and optimization of guideline-directed medical therapy. All participants, including the non-randomized low-risk group, are followed prospectively at baseline, 6 months, and 12 months. The study evaluates whether early risk identification and risk-stratified digital interventions reduce future disease risk and improve wellbeing and estimates the cost-effectiveness of the overall approach for the Finnish healthcare system.

详细描述

The study addresses an evidence gap: no published pragmatic, randomized trial has directly compared digital lifestyle intervention platforms in a population prospectively risk-stratified through NMR metabolomics in a real-world public-sector setting. PREMAP combines a prospective, population-based cohort (all enrolled participants, followed regardless of risk group) with an embedded pragmatic, open-label, three-arm randomized controlled trial restricted to participants classified as moderate or high multi-disease risk. The non-randomized low-risk group receives its risk result and general health information and is followed as a naturalistic reference group; withholding a risk result or randomizing this group to an active digital intervention was judged neither scientifically nor ethically justified.

At the population cohort level, the study evaluates change from baseline to 6 months in the five NMR-derived disease-specific risk predictions and in the WHO-5 wellbeing score across all enrolled participants. Within the embedded randomised substudy, the three digital health arms are compared head-to-head on the same two outcome domains at 6 months, adjusting for guideline-directed medical therapy status and relevant covariates. Secondary objectives include patient-reported outcomes (health-related quality of life, work productivity, health activation, life satisfaction), clinical and health-register-based outcomes (incident diagnoses, new prescriptions, hospitalization, sickness absence) over at least 12 months, and a health economic evaluation using patient-level Monte Carlo microsimulation to estimate cost per quality-adjusted life year (QALY) gained, from both healthcare payer and societal perspectives.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
Single (Care Provider)

盲法说明

None (Open Label). Blinding of participants and intervention providers to allocation is not feasible given the nature of digital lifestyle interventions.

  • The biomarker laboratory (Nightingale Health) is blinded to intervention allocation throughout all NMR analyses
  • Health-register data linkage is performed by Findata, independent of trial conduct
  • The primary statistical analysis is conducted by the independent trial statistician per a pre-specified, locked Statistical Analysis Plan
  • Patient-reported outcomes are self-completed, with no assessor involvement

入排标准

年龄范围
45 Years 至 55 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Permanent resident of the Eloisa Wellbeing Services County (South Savo, Finland), or has selected Eloisa primary health care as their primary public care provider
  • Turning 45, 50, or 55 years of age during calendar year 2026
  • NMR metabolomics-based risk assessment result classified as low, moderate, or high multi-disease risk
  • Able to provide written informed consent digitally
  • Able to use a smartphone, tablet, or computer for digital application access
  • Resident of Finland with a Finnish personal identity code (required for health register linkage)

排除标准

  • Currently pregnant or breastfeeding
  • Incarcerated or under forensic psychiatric care
  • Significantly impaired capacity for self-determination
  • Insufficient proficiency in Finnish to provide informed consent and complete study procedures
  • No Finnish personal identity code

研究组 & 干预措施

Arm 1: BitHabit

Experimental

Digital, self-directed lifestyle behavior-change smartphone application based on habit-formation and behavioral-economics principles. Provides personalized, small, achievable habit suggestions targeting physical activity, nutrition, sleep, stress management and recovery. Active engagement up to 6 months from randomization; app access continues to 12 months.

干预措施: Digital health interventions (Behavioral)

Arm 2: Onnikka

Experimental

Digital lifestyle coaching programme grounded in cognitive behavioral therapy and acceptance and commitment therapy, focused on sustainable weight management and metabolic risk reduction through structured programme modules, automated check-ins and optional peer support. Active engagement up to 12 months from randomization.

干预措施: Digital health interventions (Behavioral)

Arm 3: Oma Eloisa

Active Comparator

Structured digital self-care pathway based on national clinical guidelines, providing lifestyle information, guidance and self-monitoring tools without personalized coaching or professional support. Represents the current standard of digital support available in the Eloisa region and is used as the comparator arm; low-risk participants also use this pathway on a non-randomized basis. Continuous access throughout the follow-up period (up to 12 months).

干预措施: Digital health interventions (Behavioral)

结局指标

主要结局

NMR-derived disease-specific 10-year risk predictions

时间窗: Baseline to 6 months

Change from baseline in NMR-derived disease-specific 10-year risk predictions (type 2 diabetes, coronary heart disease/myocardial infarction, stroke/cardiovascular disease, chronic kidney disease, fatty liver disease)

The World Health Organization-Five Well-Being Index (WHO-5)

时间窗: Baseline to 6 months (primary); baseline to 12 months (secondary time point)

Change from baseline in WHO-5 Well-Being Index. A percentage score ranging from zero to 100; zero represents worst possible mental well-being; a score of 100 represents best possible mental well-being.

次要结局

  • EuroQoL 5-Dimension 5-Level (EQ-5D-5L)(baseline and at 6 and 12 months)
  • Incident diagnoses of the five target conditions(Over at least 12 months)
  • Cost-effectiveness(Over at least 12 months)
  • Work Productivity and Activity Impairment - General Health (WPAI-GH)(Baseline to 6 and 12 months)
  • Consumer Health Activation Index (CHAI)(Baseline to 6 and 12 months)
  • Vitality (TARMO)(Baseline to 6 and 12 months)
  • Self-rated health(Baseline to 6 and 12 months)
  • Net Promoter Score (NPS)(Baseline to 6 and 12 months)
  • New relevant prescriptions(Over at least 12 months)
  • Work absenteeism(Over at least 12 months)
  • Work disability(Over at least 12 months)
  • Hospitalization(Over at least 12 months)
  • Primary care visit rates(Over at least 12 months)
  • Completion of the digital pathway(Baseline)
  • Completion of blood sampling(Baseline and 6 months)
  • Completion of risk-report delivery(Baseline and 6 months)
  • Correct intervention allocation relative to risk stratum(Baseline)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Janne Martikainen

PhD, Professor

University of Eastern Finland

相似试验