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Researching the Effects of Sleep on STep Count dUring the Postoperative Period

Researching the Effects of Sleep on Step Count During the Postoperative Period Following Surgery for Hip Fracture

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03776526
Acronym
REST-UP
Enrollment
70
Registered
2018-12-14
Start date
2018-03-01
Completion date
2019-06-30
Last updated
2021-06-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Delirium, Hip Fractures, Postoperative Complications, Sleep

Keywords

Hip fractures

Brief 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.

Detailed 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

Interventions

BEHAVIORALFitbit® Alta HR Sleep monitoring

Patients will be fitted with a Fitbit® Alta HR after surgery, which will monitor sleep quality (sleep duration and number of awakenings) for the duration of hospitalization.

Sponsors

Christopher Patterson
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients recovering from surgery for hip fracture * 65 years of age or older * Able to provide informed consent or has a substitute decision maker able to provide consent

Exclusion criteria

* Bed or wheelchair bound prior to fracture * Physical barrier to placement of device (wrist restraints, cast for wrist fracture) * Non-operative hip fractures * Pathologic hip fracture

Design outcomes

Primary

MeasureTime frameDescription
Number of steps per 24-hour day taken by patients during hospital admission after hip fracture repair.Through study completion, on average 1 weekMean daily step count as measured by Fitbit®

Secondary

MeasureTime frameDescription
Length of stay in hospitalThrough study completion, on average 1 weekDays from admission until discharge from hospital
Post-operative complicationsThrough study completion, on average 1 weekStroke, Cardiac event, Pneumonia, Venous thromboembolism, GI tract bleed, Urinary tract infections, Postoperative anemia, Acute Kidney Injury, and Pressure sores
30-day post-discharge mortality30 days post dischargeDeath within 30 days
Delirium rate (incidence)Through study completion, on average 1 weekDelirium assessed by confusion assessment method (CAM)
Location of dispositionThrough study completion, on average 1 weekcommunity independent, community with home care, community with family support, inpatient rehabilitation, convalescent care, long term care, acute care hospital
Location of disposition at 30 days30 days post dischargecommunity independent, community with home care, community with family support, inpatient rehabilitation, convalescent care, long term care, acute care hospital
30 day mobility status30 days post dischargeFunctional Independence Measure - locomotion subscale score

Countries

Canada

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026