Community-based Complex Intervention to Prevent Loss of Physical Function and Disability in Home-dwelling Older Adults
NCT ID: NCT04531852
Last Updated: 2021-08-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
360 participants
OBSERVATIONAL
2017-06-22
2019-12-22
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Physical Activity, mHealth and Intellectual Disability - a Pilot Study
NCT04929106
Active Communities - Adherence to Physical Activity
NCT05493345
Physical Activity, Sports and Health in Adults With Intellectual Disabilities
NCT05336487
Staying Healthy Through Education and Prevention Study
NCT00817193
Health-Enhancing Adapted Physical Activity Program at "Mon Stade"
NCT04716322
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Intensive phase
* Active condition (exercise + health-empowerment): twice-weekly exercise + 4 health-empowerment sessions
* Comparison condition (health-empowerment) 8 health-empowerment sessions
Maintenance phase
* Active condition (exercise + health-empowerment): 4 health-empowerment sessions
* Comparison condition (health-empowerment): 4 health-empowerment sessions
Sampling method Danish home-dwelling older adults entitled to a nationally regulated preventive home-visit according to the Danish social act, living in three provincial municipalities in the Southern region of Denmark (Odense, Slagelse and Esbjerg) were invited to participate in the WIPP screening as an integrated part of the home-visit. The screening resulted in a risk-profile for functional loss and disability, on which eligibility for interventions was based. The interventions studied here were offered by the municipalities in line with existing services during the project period. In order to enable proper evaluations, citizens who volunteered to participate where randomly allocated to either of the two conditions by sealed randomization procedures. Citizens were informed about this prior to agreeing to participate. Towards the end of the project phase, exceptions from this procedure took place, to accommodate project interests. Tracking of allocation procedure is possible in the dataset. Subject recruitment and allocation, data collection and management as well as interventions were all run by the health care providers (i.e. municipalities).
Registry procedures and other quality factors On-site data collection (self-report and objective assessments) was led by the municipalities. The raw-data was registered in either paper- or digital format depending on the technical prerequisites (access to portable digital equipment and internet connection) of each site.
Paper-format data was subsequently digitalized by municipality staff.
Quality assurance of the validation and registry procedures primarily consisted of three elements:
1. Written instructions on how to fill out the individual parts of the data registration were available during the on-site registration, regardless of whether this was done electronically or in paper format. The information was also available during the final registration into the database.
2. The written instructions were further qualified by a verbal introduction on how to use the data registry platform and how to fill out the individual parts correctly.
3. To assure standardization and validation of data registry, as well the paper-format as the digital databases passed through consecutive cycles of: development (academia and engineer), pilot testing (municipalities), feedback/evaluation (municipalities and academia) and correction (municipalities and academia), until a final product was ready.
The software platform REDCap Cloud (cloud-based data management platform) was used to setup and administer the databases ensuring the required level of data security (GDPR).
The platform allowed the database to be set up with predefined rules of range as well as connections between related data fields. For continuous outcomes on scales that could in principle be infinite (ex. time to complete 10-meter walking distance), predefined rules in the database where based on pilot testing and or qualified by normative data on similar populations when possible. For ordinal and categorical outcomes as well as outcomes restricted to a given range (ex. self-rated health on a VAS scale) the predefined data-base rules were set according to these given restrictions.
The team setting up the database consisted of:
* One primary coder (profession: Engineer)
* Five Testers/Data collector managers from the different data collector sites (municipalities)
* One scientific advisor The outcome data in this database is not routinely collected elsewhere. Therefore, only few items, and only of descriptive character (e.g. sex and age) exist to our knowledge in other databases. Due to GDPR-restrictions these items were not compared to external data sources.
As external validation is not possible for this dataset, an internal verification procedure is developed and will be executed before running the analysis for this study.
1. The dataset consists of multiple waves of data-collection. Descriptive items that are considered time constant (e.g. sex, age, group-allocation, subject identification number) will be compared for inconsistencies across waves.
2. Initially, descriptive analysis to detect outlying data were performed on all outcome data for each wave separately. Each case will be investigated to identify potential erroneous data.
3. Variables with delta-values (i.e. changes from one test-time to another) will be generated for each outcome, and the procedure from point 2 will be followed
4. Spot checks will be done across related variables. For example, measured gait speed will be compared to a composite test-score in which gait speed is an important element. If gait speed is very high and the score of the composite test is very low the case will be investigated in order to identify which data is erroneous.
5. The database has dedicated a section for comments to the data made by either the test-personnel or the person digitalizing the data. Data will be qualified against these comments before being included in the analysis
6. If erroneous data is identified in step 1-5 or in case of doubt about data correctness, data will be marked as missing.
The step-wise verification process will be registered in the database material as Stata .do and Stata .log files, to ensure back-tracking and replicability of the procedure.
The main data dictionary was built in REDCap Cloud on the first language for the different sites (Danish or German).
As the database was later converted into .dta file format, an expansion of the data dictionary was initiated with added information and renaming of certain variables. The main language of the .dta database was then changed to English. All information on both translation, conversion and expansion of the dictionary is stored and available from Stata .do and .log files.
The REDCap Cloud database had a dedicated section for the recruitment pathway with a box to register time of data collection.
All steps in data preparation (changes) and analysis activities are registered both by syntax (.do) and output (.log)
Intervention instructors and the test-personnel were all instructed to identify and register adverse events. The registration was systematically done in all phases of the intervention.
The project had a prespecified number of participants it aimed at recruiting according to the funding requirements.
The database was fitted with options for registering reasons for missing data both for each individual section (i.e. self-report and objective data) and for each wave.
If erroneous data is identified in step 1-5 or in case of doubt, the data will be marked as missing.
Main intervention effects on the primary outcome SPPB and on secondary outcomes of muscle function, physical function, self-reported disability and quality of life as well as hypothesized effect modifiers: self-efficacy, outcome expectancies and barrier management will be estimated using repeated measures mixed models.
To identify significant covariates, adjusted models will be fitted using a step-wise approach.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
At risk older adults
Home-dwelling older adults entitled to preventive home visit, who had a risk profile for loss of physical function and disability identified through a multi-domain screening instrument
CALSTI - Complex Active Lifestyle Intervention
A group-based exercise (EX) and health empowerment program (HEP) conducted in the local area.
Structured, progressive resistance (55-60%), balance (10-15%), endurance (10-15%) exercise was delivered twice weekly for 12 weeks under supervision of a trained instructor.
HEP consists of 8 group sessions aiming to facilitate long-term behaviour change, by empowering older citizens to act on current risk behaviours (i.e. low physical activity/exercise, high sedentary behaviour, social isolation, poor dietary habits, incontinence). Four sessions were conducted during the exercise intervention period (phase 1 - intensive), and four sessions in the following 12 weeks (phase 2 - maintenance).
SEMAI - Self-Management Intervention
A low-cost enhancement of the existing preventive service where citizens are information about relevant health resources. Citizens allocated to SEMAI intervention are offered the health-empowerment program as outlined above, including four extra sessions dedicated to practical experiences with exercising. 24 weeks duration in total, with eight sessions in phase 1 and four sessions in phase 2
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
CALSTI - Complex Active Lifestyle Intervention
A group-based exercise (EX) and health empowerment program (HEP) conducted in the local area.
Structured, progressive resistance (55-60%), balance (10-15%), endurance (10-15%) exercise was delivered twice weekly for 12 weeks under supervision of a trained instructor.
HEP consists of 8 group sessions aiming to facilitate long-term behaviour change, by empowering older citizens to act on current risk behaviours (i.e. low physical activity/exercise, high sedentary behaviour, social isolation, poor dietary habits, incontinence). Four sessions were conducted during the exercise intervention period (phase 1 - intensive), and four sessions in the following 12 weeks (phase 2 - maintenance).
SEMAI - Self-Management Intervention
A low-cost enhancement of the existing preventive service where citizens are information about relevant health resources. Citizens allocated to SEMAI intervention are offered the health-empowerment program as outlined above, including four extra sessions dedicated to practical experiences with exercising. 24 weeks duration in total, with eight sessions in phase 1 and four sessions in phase 2
Other Intervention Names
Discover alternative or legacy names that may be used to describe the listed interventions across different sources.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
1. Reduced physical function: SPPB score ≤9
2. Fatigability: Pittsburg Fatigability score of 15 or above (≥15)\*
3. Low physical activity: Physically active ≤1day per week while sitting ≥8 hours on a normal day
4. Falls: ≥2 fall over the past year
5. Have pain: Brief Pain Inventory interference score ≥20
Exclusion Criteria
2. Too physically active (Physically active ≥3 days/week while sitting down \<5 hours during a normal day)
3. Deadly or critical illness (Cancer, severe heart failure)
4. Recent surgery that is expected to affect the intensity of exercise and limit activity#
5. Recent fractures that is expected to affect the intensity of exercise and limit activity#
6. Chronic pain that prevents regular exercise
7. Reduced cognitive function (Dementia, Alzheimer's)
* If the subject has completed a rehabilitation process in relation with an operation or fracture, the citizen is free to attend.
Additional precautions:
1. Indication of reduced cognitive function: When Six-Item Cognitive Impairment Screener score \<4, subjects are referred to experts for further assessment and determination of cognitive function.
2. When unintended weight loss and underweight is detected by the nutritional assessment scheme (score =2), citizens are referred to medical doctor or dietician to recover this, prior to being enrolled in the study.
65 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Esbjerg Municipality
OTHER_GOV
Municipality of Slagelse
UNKNOWN
Municipality of Odense
OTHER_GOV
Christian Albrechts Universität zu Kiel
UNKNOWN
Europa Universität Flensburg
UNKNOWN
AOK Nordwest
INDUSTRY
Howe Fiedler Stiftung Kiel
UNKNOWN
Arla Foods - Denmark
UNKNOWN
University of Southern Denmark
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Paolo Caserotti, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Southern Denmark
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Municipality of Esbjerg, Health & Care - Project & Development [Esbjerg Kommune - Sundhed & Omsorg - Projekt & Udvikling]
Esbjerg, Southern Denmark, Denmark
Municipality of Odense [Odense Kommune]
Odense, Southern Denmark, Denmark
Municipality of Slagelse [Slagelse Kommune]
Slagelse, Southern Denmark, Denmark
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Svensson NH, Thorlund JB, Ollgaard Olsen P, Sondergaard J, Wehberg S, Andersen HS, Caserotti P, Thilsing T. Effect of exercise referral schemes and self-management strategies on healthcare service utilisation among community-dwelling older adults: secondary analyses of two randomised controlled trials. BMJ Open. 2024 Nov 2;14(11):e084938. doi: 10.1136/bmjopen-2024-084938.
Related Links
Access external resources that provide additional context or updates about the study.
The Welfare Innovation in Primary Prevention project (WIPP) official homepage
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
INTERREG 5a Number: 38-1.0-16
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.