NCT03773692

Brief Summary

The objective of this study is to develop algorithms that incorporate each individual's automatically detected physical activity (PA) level and a clinician's PA level recommendation to provide a smartphone application that helps a person set safe and highly personalized PA goals. By adapting the goals in real-time based on the person's actual behavior, the system aims to keep the individual feeling positive and motivated towards a change in the PA behavior.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jul 2017

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 31, 2017

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 21, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 21, 2018

Completed
18 days until next milestone

First Submitted

Initial submission to the registry

December 9, 2018

Completed
3 days until next milestone

First Posted

Study publicly available on registry

December 12, 2018

Completed
Last Updated

December 12, 2018

Status Verified

December 1, 2018

Enrollment Period

1.3 years

First QC Date

December 9, 2018

Last Update Submit

December 10, 2018

Conditions

Keywords

Spinal Cord InjuriesPhysical ActivityMobile-healthJust-in-time-adaptive interventionReal-time feedback

Outcome Measures

Primary Outcomes (3)

  • Change in Physical Activity level

    Energy expenditure in kilocalorie as measured by the physical activity monitor system for wheelchair users.

    3 months

  • Change in Light-Intensity Physical Activity

    Minutes of light-intensity physical activity as measured by the physical activity monitor system for wheelchair users.

    3 months

  • Change in Moderate and Vigorous-Intensity Physical Activity

    Minutes of moderate and vigorous-intensity physical activity as measured by the physical activity monitor system for wheelchair users.

    3 months

Secondary Outcomes (6)

  • Change in Light-intensity Leisure Time Physical Activity

    3 months

  • Change in Moderate and Vigorous-intensity Leisure Time Physical Activity

    3 months

  • Change in Pain level for wheelchair users

    3 months

  • Change in Pain level

    3 months

  • Change in Disability score due to Pain

    3 months

  • +1 more secondary outcomes

Study Arms (1)

Passive feedback and JITAI

EXPERIMENTAL

Passive feedback and JITAI Second Phase - PA Level Feedback Third Phase - PA Level Feedback and Just-in-time Adaptive Intervention (JITAI)

Behavioral: Passive feedback and JITAI

Interventions

Second Phase - PA Level Feedback A PA recommendation handout based on PA guidelines for individuals with SCI will be provided. Participants continue to use the same sensing equipment as in phase one (baseline). The equipment consists of a smartwatch, a smartphone, and a wheel rotation monitor. Participants can view their feedback whenever they want, but will not be prompted with the information. Third Phase - PA Level Feedback and Just-in-time Adaptive Intervention (JITAI) The third phase of the study will be similar to the second phase of the study, but with an additional JITAI component. The JITAI component of the study will include providing proactively-prompted, real-time feedback through the smartphone and smartwatch when the participant performs a bout of moderate PA.

Passive feedback and JITAI

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • between 18-65 years of age
  • have been diagnosed with spinal cord injury
  • are at least 6 months post injury
  • use a manual wheelchair as their primary means of mobility (\>80% of the time)
  • self-propel their wheelchair
  • are medically stable
  • have experience using a smartphone.

You may not qualify if:

  • have active pelvic or thigh wounds (pressure ulcers)
  • have a history of cardiovascular disease
  • are pregnant (self-report).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Temple University

Philadelphia, Pennsylvania, 19122, United States

Location

Related Publications (6)

  • Rimmer JH, Schiller W, Chen MD. Effects of disability-associated low energy expenditure deconditioning syndrome. Exerc Sport Sci Rev. 2012 Jan;40(1):22-9. doi: 10.1097/JES.0b013e31823b8b82.

    PMID: 22016146BACKGROUND
  • Williams TL, Smith B, Papathomas A. The barriers, benefits and facilitators of leisure time physical activity among people with spinal cord injury: a meta-synthesis of qualitative findings. Health Psychol Rev. 2014;8(4):404-25. doi: 10.1080/17437199.2014.898406. Epub 2014 Mar 26.

    PMID: 25211208BACKGROUND
  • Tawashy AE, Eng JJ, Lin KH, Tang PF, Hung C. Physical activity is related to lower levels of pain, fatigue and depression in individuals with spinal-cord injury: a correlational study. Spinal Cord. 2009 Apr;47(4):301-6. doi: 10.1038/sc.2008.120. Epub 2008 Oct 21.

    PMID: 18936771BACKGROUND
  • Hiremath SV, Intille SS, Kelleher A, Cooper RA, Ding D. Estimation of Energy Expenditure for Wheelchair Users Using a Physical Activity Monitoring System. Arch Phys Med Rehabil. 2016 Jul;97(7):1146-1153.e1. doi: 10.1016/j.apmr.2016.02.016. Epub 2016 Mar 11.

    PMID: 26976800BACKGROUND
  • Hiremath SV, Intille SS, Kelleher A, Cooper RA, Ding D. Detection of physical activities using a physical activity monitor system for wheelchair users. Med Eng Phys. 2015 Jan;37(1):68-76. doi: 10.1016/j.medengphy.2014.10.009. Epub 2014 Nov 10.

    PMID: 25465284BACKGROUND
  • Canori A, Amiri AM, Thapa-Chhetry B, Finley MA, Schmidt-Read M, Lamboy MR, Intille SS, Hiremath SV. Relationship between pain, fatigue, and physical activity levels during a technology-based physical activity intervention. J Spinal Cord Med. 2021 Jul;44(4):549-556. doi: 10.1080/10790268.2020.1766889. Epub 2020 Jun 4.

MeSH Terms

Conditions

Spinal Cord InjuriesMotor Activity

Condition Hierarchy (Ancestors)

Spinal Cord DiseasesCentral Nervous System DiseasesNervous System DiseasesTrauma, Nervous SystemWounds and InjuriesBehavior

Study Officials

  • Shivayogi V Hiremath, PhD

    Temple University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Masking Details
Participants were aware of the phase of the study they were in.
Purpose
PREVENTION
Intervention Model
SINGLE GROUP
Model Details: Each individual will take part in the study for three phases, each with a duration of one month. The first month will involve collecting baseline PA levels. The second and third months of the study will provide the participants with passive PA level feedback and just-in-time persuasive feedback about their PA levels, respectively.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 9, 2018

First Posted

December 12, 2018

Study Start

July 31, 2017

Primary Completion

November 21, 2018

Study Completion

November 21, 2018

Last Updated

December 12, 2018

Record last verified: 2018-12

Data Sharing

IPD Sharing
Will not share

The datasets generated during the current study are not publicly available as the authors do not have the permission to share participants' data.

Locations