Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Sensing Physical Activity to Evaluate and Monitor a Routine Aftercare Program (SensE-M)

University of Zurich · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
cardiovascular-diseasechronic-diseasemultiple-sclerosisphysical-activity
Conditions such as multiple sclerosis (MS) and cardiovascular diseases (CVDs) are severe and prevalent health conditions which decrease life expectancy and increase morbidity. Key symptoms of MS and CVDs include restrictions in physical activity which increase over time and severely affect individuals' quality of life. As such, promoting physical activity is at the core of state-of-the-art treatment for these diseases. However, any improvements in daily activity levels and physical fitness that may be achieved are typically challenging to maintain in daily life. Once back in their daily life environment, persons with chronic diseases face multiple barriers to physical activity such as fatigue, a less structured environment, or time restrictions associated with care responsibilities, employment, or the like. Thus, a key challenge relates to the effective adaptation of physical activity-promoting routines and structures from the supportive rehab clinic environment to individuals' everyday lives. An example of an inpatient routine aftercare program which is designed to bridge this transition is the 'Stay with it'-program (Swiss German: 'Bliib dra'-program) developed by the Kliniken Valens. The program is designed to empower participants and promote self-efficacy and expertise - for example, in terms of self-management and self-monitoring skills. In addition, novel types of consumer-grade sensors, such as the Fitbit activity tracker, allow the assessment of a broad range of real-time activity- and sleep-related features and could complement the routine aftercare program. While these technical developments facilitate personalization and tailoring of health programs, it is often an untapped resource. However, health care professionals face time- and resource constraints. Consequently, any technical extensions of routine care programs tapping novel technical resources would need to be very scalable, streamlined, and efficient. Objectives: The present project will thus ex
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1282280
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive