Wireless Motion Sensors for Rheumatoid Arthritis Patients - Pilot Study
NCT ID: NCT02296632
Last Updated: 2015-08-19
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
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COMPLETED
7 participants
OBSERVATIONAL
2014-11-30
2015-08-31
Brief Summary
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Detailed Description
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Decisions to adhere occur when combined levels of susceptibility and severity provide the motivation to act, and the perception of benefits (less barriers) indicates a path of action. A given patient's ability to follow this path of action hinges on their relative self-efficacy: the conviction that they can successfully execute a behavior required to produce an expected outcome. Landscape literature reviews conducted by CORE-UCLA suggest that interventions targeting self-efficacy offer the greatest chance of improving adherence to Enbrel. Self-efficacy plays an important mediating role in self-management activities, allowing for the adoption and maintenance of health behaviors. Many studies have identified measures of self-efficacy as significant predictors of adherence in RA patients. Additionally - though with the caveat that they are methodologically heterogeneous and of limited generalizability - a number of studies have found that interventions targeting self-efficacy can significantly improve adherence related outcomes. Seminal works in the field - including Bandura's Social Cognition Theory and Rosenstock's Health Beliefs Model - have converged on the following recommendations for behavioral interventions targeting self-efficacy:
1. Identify and reinforce the patient's past and present successes or accomplishments.
2. Direct patients to observe successful behaviors and coping mechanisms of similar others, even if this involves having them alter or expand their social network.
3. Provide positive feedback for the patient's efforts or encourage people in the patient's social network, such as family members or friends, to do this.
4. Facilitate the patient in adopting new health behaviors by ensuring that patients do not interpret incorrectly how they are feeling.
Enabled by recent advances in microelectronics, signal processing algorithms, and networking capabilities, wireless health technologies hold the potential to support numerous aspects of these recommendations. Namely, motion sensors might contribute to the formation of a complete feedback loop involving self- monitoring, data presentation, and tailored messaging. Consumer Health Informatics (CHI) applications that offer complete feedback loops hold the most promise for improving self-efficacy.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Interventions
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Motion sensors and daily online assessments
Patients will be asked to wear motion sensors during their waking hours and complete daily Patient Reported Outcomes online assessments.
Eligibility Criteria
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Inclusion Criteria
* Current active prescription for Enbrel with intent to use.
* 21 years or older.
* English speaking
* Have an understanding, ability, and willingness to fully comply with study procedures and restrictions.
Exclusion Criteria
* Using a pacemaker, implantable cardiac defibrillator, neurostimulator, hearing aids, cochlear implants or other electronic medical equipment.
21 Years
ALL
No
Sponsors
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Cedars-Sinai Medical Center
OTHER
Responsible Party
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Brennan Spiegel
Director of Health Services Research
Principal Investigators
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Brennan Spiegel, MD, MSHS
Role: PRINCIPAL_INVESTIGATOR
Cedars-Sinai Medical Center
Locations
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Cedars-Sinai Medical Center
Los Angeles, California, United States
Countries
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References
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Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education & Behavior, 2, 354-386.
Bandura, A. (1996). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
Brus H, van de Laar M, Taal E, Rasker J, Wiegman O. Determinants of compliance with medication in patients with rheumatoid arthritis: the importance of self-efficacy expectations. Patient Educ Couns. 1999 Jan;36(1):57-64. doi: 10.1016/s0738-3991(98)00087-1.
Taal E, Rasker JJ, Seydel ER, Wiegman O. Health status, adherence with health recommendations, self-efficacy and social support in patients with rheumatoid arthritis. Patient Educ Couns. 1993 May;20(2-3):63-76. doi: 10.1016/0738-3991(93)90122-d.
Marks R, Allegrante JP, Lorig K. A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: implications for health education practice (part I). Health Promot Pract. 2005 Jan;6(1):37-43. doi: 10.1177/1524839904266790.
Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the Health Belief Model. Health Educ Q. 1988 Summer;15(2):175-83. doi: 10.1177/109019818801500203.
Gibbons MC, Wilson RF, Samal L, Lehman CU, Dickersin K, Lehmann HP, Aboumatar H, Finkelstein J, Shelton E, Sharma R, Bass EB. Impact of consumer health informatics applications. Evid Rep Technol Assess (Full Rep). 2009 Oct;(188):1-546.
Campbell, D. & Stanley, J. (1963). Experimental and quasi-experimental designs for research. Chicago, IL: Rand-McNally.
Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS (R)). Qual Life Res. 2014 May;23(4):1245-53. doi: 10.1007/s11136-013-0553-z. Epub 2013 Oct 17.
Lorig K, Chastain RL, Ung E, Shoor S, Holman HR. Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheum. 1989 Jan;32(1):37-44. doi: 10.1002/anr.1780320107.
Other Identifiers
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Pro00036773
Identifier Type: -
Identifier Source: org_study_id
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