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Efficacy of the Proactive Automatized Lifestyle Intervention

Investigating the Efficacy of the Proactive Automatized Lifestyle Intervention Among General Hospital Patients

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07441603
Acronym
ePAL
Enrollment
788
Registered
2026-03-02
Start date
2026-06-25
Completion date
2029-06-01
Last updated
2026-08-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Use, Health Risk Behaviors, Insufficient Physical Activity, Tobacco Smoking, Unhealthy Diet, Unhealthy Diet, Exercise, Smoking, and Alcohol Use, Vegetable Intake

Brief summary

Background: Individual brief behavior change interventions often do not sufficiently address the common co-occurrence of multiple health risk behaviors among people. In addition, many interventions often fail to reach the majority of the target population and particularly those people who need them the most. To address these core challenges of individual prevention research, the "Proactive Automatised Lifestyle intervention (PAL)" was developed, a proactive screening and brief intervention driven by psychological health behavior change theory to motivate participants for behavior change. The trial ePAL aims to investigate the efficacy of the multi-behavior change intervention adressing tobacco smoking, alcohol use, diet and physical activity among general hospital patients over 2 years; and to investigate differential efficacy in different subgroups of patients. Methods: All patients admitted to non-intensive care wards on five medical departments within the University Medicine Hospital Greifswald (internal medicine A & B, surgery, trauma surgery, ear-nose-throat) and aged 18 to 64 years are systematically approached by study assistants and asked to first participate in a survey and then in the randomizd controlled trial, irrespective of their reason of admission. A total of 788 participants is allocated to two study groups. The intervention group receives individualized feedback on all four health risk behaviors to enhance motivation to change identified health risk behaviors. The feedback is driven by psychological behavior change theory, tailored to the participants' current stages of change and delivered after baseline and at months 1 and 3. The control group receives routine care and minimal assessment only. Follow-ups are conducted at months 6, 12 and 24 after baseline; and more are planned for. Efficacy will be measured concerning self-reported change in health risk behaviors, health and motivation to change measures using latent growth curve modelling. Discussion: The trial will provide information on the efficacy of a population-based and individually tailored brief intervention to systematically provide individualized feedback to each patient for a healthy living. When found to be effective and implemented widely, such interventions may contribute to the prevention of widespread non-communicable diseases.

Interventions

addresses tobacco smoking, alcohol use, unhealthy diet and insufficient physical activity, individually-tailored, theory-driven, repetitive with three intervention contacts, normative and ipsative feedback, online feedback.

Sponsors

University Medicine Greifswald
Lead SponsorOTHER
Robert Koch Institute Berlin
CollaboratorUNKNOWN
University Hospital Lübeck
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
DOUBLE (Subject, Outcomes Assessor)

Masking description

Participants and enrollment staff are masked before enrollment; the outcome assessors are masked for follow-up assessment.

Eligibility

Sex/Gender
ALL
Age
18 Years to 64 Years
Healthy volunteers
No

Inclusion criteria

* Admitted to participating wards of the University Medicine Hospital Greifswald on Mondays through Thursdays

Exclusion criteria

* cognitively or physically incapable * presence of a highly infectious disease * discharged or transferred within the first 24 hours * already recruited for study during previous stay * insufficient German language skills * employed the conducting research department * accompanying persons * no email address (and no phone number)

Design outcomes

Primary

MeasureTime frameDescription
Change in Multiple Health Risk Behavior Indexmonths 0, 1, 3, 6, 12, 24Behavioral health risk factors are determined when recommendations (WHO, World Cancer Research Fund, German Center of Addiction Issues) are not met; with the total sum score ranging between 0 and 4 behavioral health risk factors (insufficient physical activity, unhealthy diet, alcohol use, tobacco smoking)

Secondary

MeasureTime frameDescription
Change in processes of changemonths 0, 1, 3, 6, 12, 24Behavior-specific processes of change questionnaires based on the TTM; higher scores indicate higher process use in terms of increasing physical activity / eating more vegetable and fruit a day / reducing (or quitting) alcohol use / reducing (or quitting) tobacco smoking
Change in decisional balancemonths 0, 1, 3, 6, 12, 24Behavior-specific decisional balance questionnaires based on the TTM; higher scores indicate more pros and cons of changing physical activity / vegetable and fruit intake / tobacco use and of alcohol use
Change in body-mass-indexmonths 0, 6, 12, 24
Change in general healthmonths 0, 6, 12, 241 item on self-reported health ranging between poor (0) and excellent (4)
Change in mental healthmonths 0, 6, 12, 245-item Mental Health Inventory; Higher scores indicate better mental health
Change in sick daysmonths 0, 6, 12, 24Number of self-reported sick days past 6 months
Change in non-communicable diseasesmonths 0, 6, 12, 24Self-reported cardio-vascular disease, chronic respiratory disease, cancer disease, diabetes
Change in utilization of health care - general practitionermonths 0, 6, 12, 14Self-reported consultation of general practitioners past 6 months (number)
Change in utilization of health care - medical specialistmonths 0, 6, 12, 24Self-reported consultation of medical specialists past 6 months (number)
Change in utilization of health care - physiotherapistmonths 0, 6, 12, 24Self-reported consultation of physiotherapists past 6 months (yes/no)
Change in utilization of health care - psychologist/ psychotherapist/ psychiatristmonths 0, 6, 12, 24Self-reported consultation of psychologist/ psychotherapist/ psychiatrist past 6 months (yes/no)
Change in utilization of health care - inpatientmonths 0, 6, 12, 24Self-reported inpatient hospital care past 6 months (number of nights)
Change in utilization of health care - outpatientmonths 0, 6, 12, 24Self-reported outpatient hospital care past 6 months (number of admissions)
Change in general well-beingmonths 0, 6, 12, 245-items WHO well-being Index (WHO-5); higher scale scores indicate better well-being
Change in satisfaction with lifemonths 0, 6, 12, 24Satisfaction with Life Scale 5 Items; higher scale scores indicate greater satisfaction
Change in stage of changemonths 0, 1, 3, 6, 12, 24Behavior-specific staging algorithms based on the transtheoretical model of intentional behavior change (TTM)
Change in tobacco smokingmonths 0, 1, 3, 6, 12, 24Self-reported number of cigarettes per day; smoking status
Change in alcohol usemonths 0, 1, 3, 6, 12, 24Alcohol Use Disorder Identification Test - Consumption; alcohol use in past month
Change in dietmonths 0, 1, 3, 6, 12, 24Self-reported number of servings of vegetable and fruit per day; Self-reported intake of fat (gram, kilojoule, kilocalories), fiber (gram), salt (gram), sugar (gram), processed meat per day measured by a 16 item diet screener on the number of servings of vegetable, fruit, other food rich in fiber, sweets, added sugar, sweetened drinks, cheese, convenience food, salted snacks, eggs, fatty fish, red meat, processed meat, butter/ oil, milk and bread per day/ week
Change in self-efficacymonths 0, 1, 3, 6, 12, 24Behavior-specific self-efficacy questionnaires based on the TTM; higher scores indicate higher self-efficacy to be physically active / to eat vegetable and fruit / to reduce alcohol use / to refrain from tobacco smoking
Change in physical activitymonths 0, 1, 3, 6, 12, 24European Health Interview Survey-Physical Activity Questionnaire, three additional items

Countries

Germany

Contacts

CONTACTJennis Freyer-Adam, Prof.
Jennis.Freyer-Adam@med.uni-greifswald.de+49 (0)3834 867732
CONTACTAnne Moehring, Dr.
anne.moehring@med.uni-greifswald.de+49 (0)3834 867716

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 26, 2026