Health Risk BehaviorsPALNCT05365269
Proactive Automatized Lifestyle Intervention
A study testing Proactive Automatized Lifestyle intervention in people with Health Risk Behaviors, run by University Medicine Greifswald at 1 site in Germany.
Trial summary
Background: The co-occurrence of health risk behaviors (HRBs), namely of tobacco smoking, insufficient physical activity, unhealthy diet and at-risk alcohol use, more than doubles the risk of cancer, other chronic diseases and mortality; and applies to more than half of adult general populations. Read more about this study
- Who is it for?
- Ages 18 to 64 years
- Conditions the study is for
- Health Risk Behaviors
- What is being tested?
- Proactive Automatized Lifestyle intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 175 participants
- Where
- 1 siteGermany
- Study dates
- 31 May 2022to 24 Apr 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 64 years
- All sexes
- No healthy volunteers
- Adult
Who may be able to join
- General hospital patients admitted to participating wards of four medical departments (internal medicine, surgical medicine, trauma medicine, ear-nose-throat) at the University Medicine Hospital Greifswald in northeastern Germany
Who cannot join
- Cognitively or physically incapable
- Presence of a highly infectious disease
- Discharge or transferral within the first 24 hours
- Already asked for participation during previous hospital stay
- Insufficient language skills
- Employed at the conducting research institute
- Neither telephone nor email
Trial locations and contacts
1 site in 1 country.
Germany1 site
University Medicine Greifswald
Greifswald, Mecklenburg-Vorpommern, 17475
About this study
Official title: Proactive Automatized Lifestyle Intervention for Cancer Prevention
Background: The co-occurrence of health risk behaviors (HRBs), namely of tobacco smoking, insufficient physical activity, unhealthy diet and at-risk alcohol use, more than doubles the risk of cancer, other chronic diseases and mortality; and applies to more than half of adult general populations. However, preventive measures that target all four HRBs and that reach the majority of the target populations and particularly those persons most in need and hard to reach (e.g. with low socio-economic status), are scarce. Electronic interventions may help to efficiently address multiple HRBs in whole populations, such as health care patients. The aim is to investigate the acceptance of a proactive and brief electronic multiple behavior change intervention among general hospital patients with regards to reach, retention, equity in reach and retention, satisfaction and subsequent trajectories of behavior change motivation, HRBs and health.
Methods: A pre-post-intervention study with four time points will be conducted at a general hospital in Germany. Patients admitted to participating medical departments (internal medicine, general surgery, trauma surgery, ear-nose-throat medicine) and aged 18-64 years will be systematically approached and invited to participate, irrespective of reason for admission and HRB profile. Based on HRB profile and on psychological behavior change theory, participants (n=175) will receive individualized computer-generated feedback concerning all four HRBs and motivation-enhancing feedback for up to two HRBs; directly on the ward and 1 and 3 months later. Intervention reach and retention will be determined by the proportion of participants among eligible patients and participants, respectively. Equity in reach and retention will be measured with regards to school education and other socio-demographics. To investigate satisfaction with the intervention and trajectories of motivational measures, HRBs and health measures, a 6-month follow-up will be conducted. Descriptive statistics, multivariate regressions and latent growth modelling will be applied.
Discussion: This study will be the first to investigate the acceptance of a proactive, electronic and brief multiple behavior change intervention among general hospital patients. If reach is high and efficacy established by a randomized controlled trial, the intervention has potential for public health impact in terms of primary and secondary prevention of diseases.
- Conditions
- Health Risk Behaviors
- Being tested
- Proactive Automatized Lifestyle intervention
- Medical subject headings
- Health Risk Behaviors
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Proactive Automatized Lifestyle interventionBehavioural
Multi-behavioral; including individually-tailored, theory-based, repetitive, ipsative and normative feedback.
| Study group | Role | What they receive |
|---|---|---|
| Computer-generated feedback on health risk behaviors | Experimental | Proactive Automatized Lifestyle intervention Frequency: 3 times (month 0, 1, 3) Dosage: Individually tailored feedback corresponding to about 1-6 pages Duration: 3 months Receives: Behavioral: Proactive Automatized Lifestyle intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Intervention reach
Proportion of participants among all eligible patients
Measured: Month 0
Intervention retention
Proportion of participants who continue participation 1 month after hospitalization
Measured: Month 1
Intervention retention
Proportion of participants who continue participation 3 months after hospitalization
Measured: Month 3
Secondary outcomes (14)
Satisfaction with intervention
Modified and adapted 29-item Multi-Dimensional Measure of Satisfaction with Behavioral Interventions; assessing process (intervention characteristic ratings, dose and format ratings, usage, overall intervention rating) and outcome (discomfort, attribution of outcomes to treatment)
Measured: Month 6
Change in physical activity
European Health Interview Survey-Physical Activity Questionnaire, three additional items
Measured: Month 0, 1, 3, 6
Change in diet
Self-reported number of servings of vegetable and fruit per day; Self-reported intake of fat (gram, kilojoule, kilocalories), fiber (gram), salt (gram) and sugar (gram) 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
Measured: Month 0, 1, 3, 6
Change in alcohol use
Alcohol Use Disorder Identification Test - Consumption; alcohol use in past month
Measured: Month 0, 1, 3, 6
Change in tobacco smoking
Self-reported number of cigarettes per day; smoking status
Measured: Month 0, 1, 3, 6
Change in sum of behavioral health risk factors
Behavioral 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, at-risk alcohol use, tobacco smoking)
Measured: Month 0, 1, 3, 6
Change in body-mass-index
Obtained from self-reported body weight and height
Measured: Month 0, 6
Change in general health
1 item on self-reported health ranging between poor (0) and excellent (4)
Measured: Month 0, 6
Change in mental health
5-item Mental Health Inventory; Higher scores indicate better mental health
Measured: Month 0, 6
Change in sick days
Number of self-reported sick days past 6 months
Measured: Month 0, 6
Change in stage of change
Behavior-specific staging algorithms based on the transtheoretical model of intentional behavior change (TTM)
Measured: Month 0, 1, 3, 6
Change in decisional balance
Behavior-specific decisional balance questionnaires based on the TTM; higher scores indicate more pros and cons of physical activity / vegetable and fruit intake / alcohol use / tobacco smoking
Measured: Month 0, 1, 3, 6
Change in self-efficacy
Behavior-specific self-efficacy questionnaires based on the TTM; higher scores indicate higher self-efficacy to be physically active / to eat vegetable and fruit / to adhere to alcohol use limits / to refrain from tobacco smoking
Measured: Month 0, 1, 3, 6
Change in processes of change
Behavior-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
Measured: Month 0, 1, 3, 6
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 May 2022
- Study start31 May 2022
- Primary completion31 Mar 2023
- Study completion24 Apr 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for Health Risk BehaviorsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 175 participants (actual)
Sponsor and investigators
- Lead sponsor
- University Medicine Greifswald
- Sponsor type
- University, hospital or other
- Collaborators
- Deutsche Krebshilfe e.V., Bonn (Germany), Robert Koch Institut, University Hospital Schleswig-Holstein
- Responsible party
- Sponsor
- Investigators
- Jennis Freyer-Adam, Prof. Dr., Principal investigator, University Medicine Greifswald, Institute of Medical PsychologyUlrich John, Prof. Dr., Principal investigator, University Medicine Greifswald, Institute CM, Department of Prevention Research and Social Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05365269
- Sponsor's protocol ID
- D8 5000 0001
- Acronym
- PAL
- Status last verified
- Jun 2023
- First submitted
- 25 Apr 2022
- Last updated
- 3 Jul 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: IPD that underlie results in a publication may be shared
Publications
Timm C, Tiede A, Krolo-Wicovsky F, Spielmann M, Bischof G, Meyer C, John U, Freyer-Adam J. General hospital patients' satisfaction with a proactive automatized multiple health behavior change intervention. BMC Health Serv Res. 2025 Sep 23;25(1):1209. doi: 10.1186/s12913-025-13425-x.
PubMed 40988066Spielmann M, Krolo-Wicovsky F, Tiede A, John U, Freyer-Adam J. Proactive automatized multiple health risk behavior change intervention: reach and retention among general hospital patients. Eur J Public Health. 2025 Aug 1;35(4):635-641. doi: 10.1093/eurpub/ckaf035.
PubMed 40101761Timm C, Krolo-Wicovsky F, Tiede A, Spielmann M, Gaertner B, John U, Freyer-Adam J. General hospital patients' attitude towards systematic health risk behavior screening and intervention. BMC Public Health. 2024 Oct 18;24(1):2877. doi: 10.1186/s12889-024-20410-2.
PubMed 39425090Freyer-Adam J, Krolo F, Tiede A, Goeze C, Sadewasser K, Spielmann M, Krause K, John U. Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial. BMJ Open. 2022 Sep 19;12(9):e065136. doi: 10.1136/bmjopen-2022-065136.
PubMed 36123081
Study at a glance
From the registry record, last updated by the sponsor on 3 Jul 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Proactive Automatized Lifestyle Intervention for Cancer Prevention
- ClinicalTrials.gov ID
- NCT05365269
- Acronym / sponsor ID
- PAL / D8 5000 0001
- Conditions
- Health Risk Behaviors
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 175 participants (actual)
- Lead sponsor
- University Medicine GreifswaldUniversity, hospital or other
- Collaborators
- Deutsche Krebshilfe e.V., Bonn (Germany), Robert Koch Institut, University Hospital Schleswig-Holstein
- Study start
- 31 May 2022 (actual)
- Primary completion
- 31 Mar 2023 (actual)
- Study completion
- 24 Apr 2023 (actual)
- First posted
- 9 May 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Background: The co-occurrence of health risk behaviors (HRBs), namely of tobacco smoking, insufficient physical activity, unhealthy diet and at-risk alcohol use, more than doubles the risk of cancer, other chronic diseases and mortality; and applies to more than half of adult general populations. However, preventive measures that target all four HRBs and that reach the majority of the target populations and particularly those persons most in need and hard to reach (e.g. with low socio-economic status), are scarce. Electronic interventions may help to efficiently address multiple HRBs in whole populations, such as health care patients. The aim is to investigate the acceptance of a proactive and brief electronic multiple behavior change intervention among general hospital patients with regards to reach, retention, equity in reach and retention, satisfaction and subsequent trajectories of behavior change motivation, HRBs and health.
Methods: A pre-post-intervention study with four time points will be conducted at a general hospital in Germany. Patients admitted to participating medical departments (internal medicine, general surgery, trauma surgery, ear-nose-throat medicine) and aged 18-64 years will be systematically approached and invited to participate, irrespective of reason for admission and HRB profile. Based on HRB profile and on psychological behavior change theory, participants (n=175) will receive individualized computer-generated feedback concerning all four HRBs and motivation-enhancing feedback for up to two HRBs; directly on the ward and 1 and 3 months later. Intervention reach and retention will be determined by the proportion of participants among eligible patients and participants, respectively. Equity in reach and retention will be measured with regards to school education and other socio-demographics. To investigate satisfaction with the intervention and trajectories of motivational measures, HRBs and health measures, a 6-month follow-up will be conducted. Descriptive statistics, multivariate regressions and latent growth modelling will be applied.
Discussion: This study will be the first to investigate the acceptance of a proactive, electronic and brief multiple behavior change intervention among general hospital patients. If reach is high and efficacy established by a randomized controlled trial, the intervention has potential for public health impact in terms of primary and secondary prevention of diseases.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Computer-generated feedback on health risk behaviors | Experimental | Behavioral: Proactive Automatized Lifestyle interventionProactive Automatized Lifestyle intervention Frequency: 3 times (month 0, 1, 3) Dosage: Individually tailored feedback corresponding to about 1-6 pages Duration: 3 months |
Who may qualify
- Ages
- 18 to 64 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (1 listed)
- General hospital patients admitted to participating wards of four medical departments (internal medicine, surgical medicine, trauma medicine, ear-nose-throat) at the University Medicine Hospital Greifswald in northeastern Germany
Key exclusion criteria (7 listed)
- Cognitively or physically incapable
- Presence of a highly infectious disease
- Discharge or transferral within the first 24 hours
- Already asked for participation during previous hospital stay
- Insufficient language skills
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Proactive Automatized Lifestyle interventionMulti-behavioral; including individually-tailored, theory-based, repetitive, ipsative and normative feedback. | Behavioural | Computer-generated feedback on health risk behaviors |
Primary outcome
Intervention reach
Time frame: Month 0
Proportion of participants among all eligible patients
Intervention retention
Time frame: Month 1
Proportion of participants who continue participation 1 month after hospitalization
Intervention retention
Time frame: Month 3
Proportion of participants who continue participation 3 months after hospitalization
14 secondary outcomes
Satisfaction with intervention
Time frame: Month 6
Change in physical activity
Time frame: Month 0, 1, 3, 6
Change in diet
Time frame: Month 0, 1, 3, 6
Change in alcohol use
Time frame: Month 0, 1, 3, 6
Change in tobacco smoking
Time frame: Month 0, 1, 3, 6
Change in sum of behavioral health risk factors
Time frame: Month 0, 1, 3, 6
Change in body-mass-index
Time frame: Month 0, 6
Change in general health
Time frame: Month 0, 6
Change in mental health
Time frame: Month 0, 6
Change in sick days
Time frame: Month 0, 6
Change in stage of change
Time frame: Month 0, 1, 3, 6
Change in decisional balance
Time frame: Month 0, 1, 3, 6
Change in self-efficacy
Time frame: Month 0, 1, 3, 6
Change in processes of change
Time frame: Month 0, 1, 3, 6
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Jul 2023.
- Derived from this study: PubMed 40988066Timm C, Tiede A, Krolo-Wicovsky F, Spielmann M, Bischof G, Meyer C, John U, Freyer-Adam J. General hospital patients' satisfaction with a proactive automatized multiple health behavior change intervention. BMC Health Serv Res. 2025 Sep 23;25(1):1209. doi: 10.1186/s12913-025-13425-x.
- Derived from this study: PubMed 40101761Spielmann M, Krolo-Wicovsky F, Tiede A, John U, Freyer-Adam J. Proactive automatized multiple health risk behavior change intervention: reach and retention among general hospital patients. Eur J Public Health. 2025 Aug 1;35(4):635-641. doi: 10.1093/eurpub/ckaf035.
- Derived from this study: PubMed 39425090Timm C, Krolo-Wicovsky F, Tiede A, Spielmann M, Gaertner B, John U, Freyer-Adam J. General hospital patients' attitude towards systematic health risk behavior screening and intervention. BMC Public Health. 2024 Oct 18;24(1):2877. doi: 10.1186/s12889-024-20410-2.
- Derived from this study: PubMed 36123081Freyer-Adam J, Krolo F, Tiede A, Goeze C, Sadewasser K, Spielmann M, Krause K, John U. Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial. BMJ Open. 2022 Sep 19;12(9):e065136. doi: 10.1136/bmjopen-2022-065136.
- Individual participant dataSharing planned: Yes. IPD that underlie results in a publication may be shared
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jennis Freyer-Adam, Prof. Dr. principal investigator
University Medicine Greifswald, Institute of Medical Psychology
Ulrich John, Prof. Dr. principal investigator
University Medicine Greifswald, Institute CM, Department of Prevention Research and Social Medicine
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Proactive Automatized Lifestyle intervention in people with Health Risk Behaviors, run by University Medicine Greifswald at 1 site in Germany.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Jul 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Germany. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Intervention reach (time frame: Month 0). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05365269, which also lists 4 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Jul 2023.