Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03776526 |
Other study ID # |
REST-UP |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 1, 2018 |
Est. completion date |
June 30, 2019 |
Study information
Verified date |
June 2021 |
Source |
McMaster University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Patients over the age of 65 who are admitted to the Juravinski Hospital for treatment of hip
fractures will be invited to take part in the study. An activity monitor (a Fitbit® Alta HR)
will be attached to the participant post-operatively, to record quality of sleep and amount
of activity for the duration of hospital stay. The time spent in hospital and whether
complications or confusion develops will also be recorded. The aim is to determine whether
poor sleep affects recovery after hip fracture surgery.
Description:
The purpose of this study is to examine the influence of sleep duration and quality on
post-operative mobility in older adults admitted to hospital with a hip fracture. The
hypothesis is that poor sleep will independently predict low post-operative mobility
(measured by number of steps). Recent developments in activity monitor technology allow for
the collection of reliable assessments of movement and sleep rhythm during surgical recovery.
The Fitbit® Alta HR activity monitor will be used for this study. When the participant is
awake and alert after surgery and informed consent has been obtained, a study team member
will fasten the Fitbit® device on the wrist of the participants' non-dominant hand.
Investigators will monitor sleep quality and daily steps taken for the duration of
hospitalization, with the option to discontinue if clinically required or requested by the
patient or provider. At the time of discharge, the wearable biosensor will be reset and the
information will be erased from its memory. The wearable biosensors will be cleaned with
disinfectant used for durable medical equipment.
The study population will include patients aged 65+ admitted with hip fracture to the
orthopedic ward (E2) at the Juravinski Hospital. Descriptive data on patients admitted with
hip fracture will be collected including age, gender, Charlson comorbidity index, diagnosis
of dementia, pre-hospital living accommodation, mobility aids, level of pre-admission
mobility using the functional independence measure (FIM), and number of beds per room. Timing
of surgery (within 24 hours, 48 hours, or more than 48 hours) after admission, highest
reported daily pain score and foley catheter use will also be collected from the medical
record. The use of sleep medications will be tracked each night during the study period. The
physiotherapy notes will be screened for information on total distance ambulated in meters
and in-hospital mobility progression. Post-operative complications such as Stroke, Cardiac
event, Pneumonia, Venous thromboembolism, GI tract bleed, Urinary tract infections,
Postoperative anemia, Acute Kidney Injury, and Pressure sores will be tracked from the
medical record. Investigators will also contact participants by phone after 30 days have
elapsed since discharge to inquire about mortality, FIM score and location of disposition.
The primary outcome is the total number of steps taken by participants during each 24-hour
period after surgery for hip fracture. Mean daily steps will be calculated based on the
number of days the activity monitor was worn. Secondary outcomes will be delirium prevalence,
hospital length of stay, post-operative complications, 30-day post-discharge mortality,
mobility status (FIM - locomotion subscale score), and location of disposition. The primary
behavioural exposure is monitoring of sleep duration (measured by total sleep time in
minutes) and quality (number of awakenings per night). Daytime naps will also be recorded.
One of the key strengths of this study is that both the primary outcome and the key exposure
are measured using a single device, which improves the reliability and efficiency of data
collection