Implementing an Evidence-based Exercise Program to Reduce Falls in Community-dwelling Older Adults (Otago)

Sponsor
University of British Columbia (Other)
Overall Status
Recruiting
CT.gov ID
NCT04851405
Collaborator
Arthritis Research Centre of Canada (Other), Vancouver General Hospital (Other), Simon Fraser University (Other), Vancouver Coastal Health Research Institute (Other)
360
1
2
36
10

Study Details

Study Description

Brief Summary

Falls are a major health care problem for seniors. The Otago Exercise Program, which consists of strength and balance training delivered by a physiotherapist, can reduce falls in this population. We will test two methods to deliver the Otago program. These will include a new coaching approach by a physiotherapist with the use of a Fitbit to provide feedback versus the traditional delivery. The degree to which the program is delivered as intended by physiotherapists as well as the number of falls, risk of falling, and participation in walking activities in older adults will be assessed over 24 months. Lastly, we will assess if the coaching approach is a cost-effective option.

Condition or Disease Intervention/Treatment Phase
  • Behavioral: Otago Exercise Programme+ (OEP+)
  • Behavioral: Otago Exercise Programme (OEP)
N/A

Detailed Description

Falls are a major health care problem for older adults (i.e., those aged ≥ 65 years) and health care systems. Falls account for 50% of injury-related admissions to hospital, 40% of admissions to nursing homes, and a 10% increase in home care services. They are also the leading cause of fatal injury among Canadians over 65 years old. This represents a significant health burden. Fortunately, falls are preventable. There is strong evidence that the Otago Exercise Program (OEP), physiotherapist (PT)-led home-based exercise program of strength and balance training, is effective at preventing falls in older adults with complex medical conditions. Originally developed in New Zealand the OEP has been implemented worldwide, but adherence to the program is a challenge. We propose that the suboptimal adherence is partly due to a lack of focus on behaviour change techniques such as self-monitoring and action planning in the delivery of OEP.

The investigators will use a mixed-methods approach, involving a RCT and in-depth interviews. The delivery of OEP+ vs OEP, from PTs, and its recipients, the older adults, will be determined at random. The training for the PT's will be provided by the Centre for Collaboration Motivation & Innovation (CCMI), a non-profit organization with a mandate to support the use of behaviour change techniques to improve health care. Prior to data collection, the PTs will attend a 2-hour workshop on the coaching protocol using the OEP app.

The goal of this project is to assess OEP+ as an implementation strategy to improve OEP delivery (by PTs) and adherence (by older adults).

Study Design

Study Type:
Interventional
Anticipated Enrollment :
360 participants
Allocation:
Randomized
Intervention Model:
Crossover Assignment
Masking:
Single (Outcomes Assessor)
Primary Purpose:
Supportive Care
Official Title:
Implementing an Evidence-based Exercise Program to Reduce Falls in Community-dwelling Older Adults
Actual Study Start Date :
Sep 1, 2021
Anticipated Primary Completion Date :
Sep 1, 2023
Anticipated Study Completion Date :
Sep 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Active Comparator: Otago Exercise Programme+ Intervention Group (OEP+)

Physiotherapists receive OEP training, a 2 hour workshop on the coaching protocol using the OEP app, and online training on the Brief Action Plan Approach with 2 telephone practice sessions with an experienced Brief Action Plan counsellor. Each PT will deliver exercise program to 8 older adults. PTs will help older adults to set-up OEP app and Fitbit. PT will return bi-weekly over the course of two months (four visits total) for follow-up. During months 3-5, PTs will call participants three times times to review the exercise plan. The last visit will be an at-home visit which will occur 6 months after the initial visit. Between Months 7-12, PTs will continue to a phone call follow-up once a month to review the exercise routine. Older Adults will receive an OEP manual and cuff weights to be used with the strength training. They will also have access to the OEP app which allows the PT to prescribe exercises and record the participant's exercise goal.

Behavioral: Otago Exercise Programme+ (OEP+)
Physiotherapists (PTs) will receive OEP and BAP training. They will provide at home visits and follow-up phone calls to the older adult participants (5 at home visits and 3 phone calls). Older adults will have access to the OEP app.

Placebo Comparator: Otago Exercise Programme Group (OEP)

Physiotherapists receive OEP Training and a 2 hour workshop on just the counselling protocol. Each PT will deliver exercise program to 8 older adults. PTs will help older adults to set-up the Fitbit. For the first two months, PTs will provide bi-weekly home visits. During months 3-5, PTs will call participants three times times to review the exercise plan. The last visit will be an at-home visit which will occur 6 months after the initial visit. Older Adults will receive an OEP manual and cuff weights to be used with the strength training. They will also receive a Fitbit. Between Months 7-12, older adults will receive follow-up phone calls from the research staff.

Behavioral: Otago Exercise Programme (OEP)
PTs will receive OEP training. They will provide at home visits and follow-up phone calls to the older adult participants (5 at home visits and 3 follow-up phone calls).

Outcome Measures

Primary Outcome Measures

  1. Physiotherapist-level outcome - Brief Action Planning (BAP) Scores [During the 12-month intervention]

    This measure includes 33 items from three domains: 1) BAP content, 2) warmth and tone, and 3) overall interaction quality (total score: 0-35, higher score = better). The scores will be derived from the physiotherapists' sessions with the first, middle (Participant 3 or 4 out of 8) and last older adult participant. The recording from these treatment sessions will be coded and analysed by one of four researchers. The average of BAP scores of the middle and last participants for each PT will be used in the analysis .

  2. Older Adult-Level Outcome - rate of adherence to the Otago Exercise Program (OEP) [During the 12-month intervention]

    The number of exercise completed out of the total number of exercise prescribed during the intervention period

Secondary Outcome Measures

  1. Older Adult-Level Outcome - Number of Falls [During the 12-month intervention]

    Number of falls reported by the older adult participants. We define falls as "an event which results in a person coming to rest inadvertently on the ground or floor or other lower level".

  2. Older Adult-Level Outcome - Number of Falls [During the 12 months after the intervention (i.e., 13-24 months)]

    Number of falls during the reported. We define falls as "an event which results in a person coming to rest inadvertently on the ground or floor or other lower level".

  3. Older Adult-Level Outcome - Physiological Profile Assessment© (PPA) [Baseline]

    PPA assesses risk of falls. Based on the performance of five domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity), a fall risk score will be computed for each participant. The PPA has a 75% predictive accuracy for falls in older people. A PPA z-score of 0-1 indicates mild risk, >1-2 indicates moderate risk, >2-3 indicates high risk, and >3 and above indicates marked risk.

  4. Older Adult-Level Outcome - Physiological Profile Assessment© (PPA) [6 months]

    PPA assesses risk of falls. Based on the performance of five domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity), a fall risk score will be computed for each participant. The PPA has a 75% predictive accuracy for falls in older people. A PPA z-score of 0-1 indicates mild risk, >1-2 indicates moderate risk, >2-3 indicates high risk, and >3 and above indicates marked risk.

  5. Older Adult-Level Outcome - Physiological Profile Assessment© (PPA) [12 months]

    PPA assesses risk of falls. Based on the performance of five domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity), a fall risk score will be computed for each participant. The PPA has a 75% predictive accuracy for falls in older people. A PPA z-score of 0-1 indicates mild risk, >1-2 indicates moderate risk, >2-3 indicates high risk, and >3 and above indicates marked risk.

  6. Older Adult-Level Outcome - Physiological Profile Assessment© (PPA) [18 months]

    PPA assesses risk of falls. Based on the performance of five domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity), a fall risk score will be computed for each participant. The PPA has a 75% predictive accuracy for falls in older people. A PPA z-score of 0-1 indicates mild risk, >1-2 indicates moderate risk, >2-3 indicates high risk, and >3 and above indicates marked risk.

  7. Older Adult-Level Outcome - Physiological Profile Assessment© (PPA) [24 months]

    PPA assesses risk of falls. Based on the performance of five domains (postural sway, hand reaction time, quadriceps strength, proprioception, and edge contrast sensitivity), a fall risk score will be computed for each participant. The PPA has a 75% predictive accuracy for falls in older people. A PPA z-score of 0-1 indicates mild risk, >1-2 indicates moderate risk, >2-3 indicates high risk, and >3 and above indicates marked risk.

  8. Older Adult-Level Outcome - Average Daily Step Count [Baseline]

    Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.

  9. Older Adult-Level Outcome - Average Daily Step Count [6 months]

    Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.

  10. Older Adult-Level Outcome - Average Daily Step Count [12 months]

    Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.

  11. Older Adult-Level Outcome - Average Daily Step Count [18 months]

    Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.

  12. Older Adult-Level Outcome - Average Daily Step Count [24 months]

    Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.

  13. Older Adult-Level Outcome - EuroQol-5D-5 Level version (EQ-5D-5L) [Baseline]

    EQ-5D-5L is a generic preference-based utility measure composed of 5 domains of health (mobility, self-care, usual activities, pain, and anxiety/depression). Each domain contains 5 levels, with a '1' indicating no problem and a '5' indicating major problem. The 5 dimensions (i.e., the health state profile) will be converted into a weighted health state utility values between '0' and '1', where '1' represents "perfect health" and '0' represents a health state equivalent to death. Values less than '0' indicate a health state worse than death. These health state utility values will provide weightings for QALYs. We will employ Canadian conversion tariffs for transforming health state profiles into utility scores.

  14. Older Adult-Level Outcome - EuroQol-5D-5 Level version (EQ-5D-5L) [6 months]

    EQ-5D-5L is a generic preference-based utility measure composed of 5 domains of health (mobility, self-care, usual activities, pain, and anxiety/depression). Each domain contains 5 levels, with a '1' indicating no problem and a '5' indicating major problem. The 5 dimensions (i.e., the health state profile) will be converted into a weighted health state utility values between '0' and '1', where '1' represents "perfect health" and '0' represents a health state equivalent to death. Values less than '0' indicate a health state worse than death. These health state utility values will provide weightings for QALYs. We will employ Canadian conversion tariffs for transforming health state profiles into utility scores.

  15. Older Adult-Level Outcome - EuroQol-5D-5 Level version (EQ-5D-5L) [12 months]

    EQ-5D-5L is a generic preference-based utility measure composed of 5 domains of health (mobility, self-care, usual activities, pain, and anxiety/depression). Each domain contains 5 levels, with a '1' indicating no problem and a '5' indicating major problem. The 5 dimensions (i.e., the health state profile) will be converted into a weighted health state utility values between '0' and '1', where '1' represents "perfect health" and '0' represents a health state equivalent to death. Values less than '0' indicate a health state worse than death. These health state utility values will provide weightings for QALYs. We will employ Canadian conversion tariffs for transforming health state profiles into utility scores.

  16. Older Adult-Level Outcome - EuroQol-5D-5 Level version (EQ-5D-5L) [18 months]

    EQ-5D-5L is a generic preference-based utility measure composed of 5 domains of health (mobility, self-care, usual activities, pain, and anxiety/depression). Each domain contains 5 levels, with a '1' indicating no problem and a '5' indicating major problem. The 5 dimensions (i.e., the health state profile) will be converted into a weighted health state utility values between '0' and '1', where '1' represents "perfect health" and '0' represents a health state equivalent to death. Values less than '0' indicate a health state worse than death. These health state utility values will provide weightings for QALYs. We will employ Canadian conversion tariffs for transforming health state profiles into utility scores.

  17. Older Adult-Level Outcome - EuroQol-5D-5 Level version (EQ-5D-5L) [24 months]

    EQ-5D-5L is a generic preference-based utility measure composed of 5 domains of health (mobility, self-care, usual activities, pain, and anxiety/depression). Each domain contains 5 levels, with a '1' indicating no problem and a '5' indicating major problem. The 5 dimensions (i.e., the health state profile) will be converted into a weighted health state utility values between '0' and '1', where '1' represents "perfect health" and '0' represents a health state equivalent to death. Values less than '0' indicate a health state worse than death. These health state utility values will provide weightings for QALYs. We will employ Canadian conversion tariffs for transforming health state profiles into utility scores.

  18. Older Adult-Level Outcome - Health Resource Utilization Questionnaire (HRU) [Baseline]

    The HRU asks for specific details regarding health professional visits, admissions to hospital, laboratory tests, use of medications, purchase of adaptive aids, and the productivity loss incurred by the older adults and their caregivers due to the person's poor health

  19. Older Adult-Level Outcome - Health Resource Utilization Questionnaire (HRU) [3 months]

    The HRU asks for specific details regarding health professional visits, admissions to hospital, laboratory tests, use of medications, purchase of adaptive aids, and the productivity loss incurred by the older adults and their caregivers due to the person's poor health

  20. Older Adult-Level Outcome - Health Resource Utilization Questionnaire (HRU) [6 months]

    The HRU asks for specific details regarding health professional visits, admissions to hospital, laboratory tests, use of medications, purchase of adaptive aids, and the productivity loss incurred by the older adults and their caregivers due to the person's poor health

  21. Older Adult-Level Outcome - Health Resource Utilization Questionnaire (HRU) [9 months]

    The HRU asks for specific details regarding health professional visits, admissions to hospital, laboratory tests, use of medications, purchase of adaptive aids, and the productivity loss incurred by the older adults and their caregivers due to the person's poor health

  22. Older Adult-Level Outcome - Health Resource Utilization Questionnaire (HRU) [12 months]

    The HRU asks for specific details regarding health professional visits, admissions to hospital, laboratory tests, use of medications, purchase of adaptive aids, and the productivity loss incurred by the older adults and their caregivers due to the person's poor health

Eligibility Criteria

Criteria

Ages Eligible for Study:
70 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria (Older Adults):
  • over 70 years of age

  • self-report a non-syncopal fall corroborated by an informant, in the previous six months

  • are able to walk three meters with or without an assistive device

  • have a Mini-Mental State Examination score > 24/30

  • have a Physiological Profile Assessment composite score of at least 1.0 standard deviation above age-normative value or have a Timed Up and Go test > 15 seconds, or had one additional non-syncopal fall in the previous 12 months

  • live in an area served by Vancouver Coastal Health

  • understand, speak, and read English proficiently

  • have access to a mobile device

  • are willing to have their OEP sessions audio-recorded

  • able to provide written informed consent

Exclusion Criteria (Older Adults):
  • people not meeting the criteria above
Inclusion Criteria (Physiotherapists):
  • willing to participate in training on the OEP

  • complete the BAP training

  • be audio-recorded during the OEP sessions

  • be randomized to the OEP group with coaching or without coaching

Exclusion Criteria (Physiotherapists):
  • not willing to participate in the above criteria

Contacts and Locations

Locations

Site City State Country Postal Code
1 Arthritis Research Canada Vancouver British Columbia Canada V5Y 3P2

Sponsors and Collaborators

  • University of British Columbia
  • Arthritis Research Centre of Canada
  • Vancouver General Hospital
  • Simon Fraser University
  • Vancouver Coastal Health Research Institute

Investigators

  • Principal Investigator: Linda Li, PhD, Professor

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Linda Li, Principal Investigator, University of British Columbia
ClinicalTrials.gov Identifier:
NCT04851405
Other Study ID Numbers:
  • H19-01760
First Posted:
Apr 20, 2021
Last Update Posted:
May 26, 2022
Last Verified:
May 1, 2022
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Linda Li, Principal Investigator, University of British Columbia
Additional relevant MeSH terms:

Study Results

No Results Posted as of May 26, 2022