Arthritis Research Canada
Vancouver, British Columbia, V5Y 3P2, Canada
NCT Number: NCT04851405
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.
This study is active but is not currently recruiting participants.
70 year and older
All sexes
Interventional
Not applicable
Vancouver, British Columbia, V5Y 3P2, Canada
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).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
(Older Adults):
Exclusion criteria
(Older Adults):
Inclusion criteria
(Physiotherapists):
Exclusion criteria
(Physiotherapists):
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.
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).
Time frame: 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 .
Time frame: During the 12-month intervention
The number of exercise completed out of the total number of exercise prescribed during the intervention period
Time frame: 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".
Time frame: 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".
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: Baseline
Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.
Time frame: 6 months
Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.
Time frame: 12 months
Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.
Time frame: 18 months
Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.
Time frame: 24 months
Measured by averaging the daily step counts, recorded by a Fitbit worn at the ankle (the non-dominant side), over seven days.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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
University of British Columbia
Other
Implementing an Evidence-based Exercise Program to Reduce Falls in Community-dwelling Older Adults
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT04139109
Activity, Motor, Behavior
Istanbul, Bakırkoy, Turkey (Türkiye)
View Trial DetailsNCT06842849
Behavior, Frailty
Valencia, Spain
View Trial DetailsNCT05870046
Atrophy, Behavior
Salamanca, Spain
View Trial DetailsNCT05651412
Fall, Frailty
Lahore, Punjab Province, Pakistan
View Trial Details