- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03682523
The Breaking "Bad Rest" Study: Interrupting Sedentary Time to Reverse Frailty Levels in Acute Care
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Nova Scotia
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Halifax, Nova Scotia, Canada
- QEII Health Sciences Centre
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Anticipated hospital length of stay >1 day
- Patient or care partner able to communicate in English
Exclusion Criteria:
- Patient unable to provide informed consent and care partner not available to provide consent
- Bedridden prior to hospital admission
- Previous participation in our study (i.e. readmission during data collection phase)
- End-of-life or waiting for long-term care facility
- Patient is admitted to a shared room with a current study participant.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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No Intervention: Control Group
Fitted with an accelerometer to measure time spent out of bed while in hospital.
Otherwise, participants in the control group will receive usual care from the hospital medical team during their hospital stay.
Daily activities of participants will not be restricted if patients are assigned to the control group.
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Experimental: Intervention Group
Fitted with accelerometer to measure time spent out of bed while in hospital; daily goals set for time spent out of bed; mobilization feedback real-time feedback on goal attainment; hands on mobilization by physiotherapist for participants in late afternoon for participants who do not meet daily goal.
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Participants will be provided with a device to measure physical activity and sedentary behaviours.
A tablet will be in the research office and each afternoon, it will be synced to the device to assess the activity progress of the patient.
The research team will deliver an upright time goal and will target a 20% increase in upright time from the previous hospital day.
Physiotherapist research assistants will visit the participants every afternoon to monitor progress and safely mobilize participants to their maximum ability if they have not met their daily goal (including weekend).
The maximum level of ability will be determined in consultation with the healthcare team.
Participants who do not meet their goal will be mobilized in the late afternoon/ early evening.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in the Frailty Index
Time Frame: Change from baseline frailty up to a median 14 day hospital length of stay
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The frailty index (FI) operationalizes frailty in clinical practice and for research. FI scores are calculated as the proportion of potential deficits present in a given individual. For this study we will construct a 30-item FI using a health questionnaire administered to patients or their care partners (if patients are not able to self-report) at each study time point. The proportion of patients changing their FI scores by >=0.1 from baseline to hospital discharge is the primary outcome. Data collection is opportunistic, based on length of stay. The discharge date is not fixed - thus day-in-study at discharge will not be the same for all participants. Depending on length of stay, participants will provide data for additional time points between baseline and discharge, including week 1, week 2, week 3, week 4 and then in 30 day intervals. However, not every participant will have the same number of time points. Note that the median hospital length of stay is 14 days. |
Change from baseline frailty up to a median 14 day hospital length of stay
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in the Frailty Index
Time Frame: Change from baseline frailty up to a median 14 days hospital length of stay, and 30 days after hospital discharge
|
The frailty index (FI) operationalizes frailty in clinical practice and for research. FI scores are calculated as the proportion of potential deficits present in a given individual. For this study we will construct a 30-item FI using a health questionnaire administered to patients or their care partners (if patients are not able to self-report) at each study time point. Secondary outcome for the FI is a change from baseline up to one month following hospital discharge as a continuous measure. Data collection is opportunistic, based on length of stay. The discharge date is not fixed - thus day-in-study at discharge will not be the same for all participants. Depending on length of stay, participants will provide data for additional time points between baseline and discharge, including week 1, week 2, week 3, week 4 and then in 30 day intervals. However, not every participant will have the same number of time points. Note that the median hospital length of stay is 14 days. |
Change from baseline frailty up to a median 14 days hospital length of stay, and 30 days after hospital discharge
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Change in upright time
Time Frame: Change from baseline upright time up to a median 14 day hospital length of stay
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Time (minutes/day) spent upright out of bed (upright time) will be tracked continuously during the participants' hospital length of stay using accelerometers for both groups. Patients will be fitted with accelerometers within 24 hours of admission. An ActivatorTM (PAL Technologies Ltd) accelerometer will be attached to the mid-thigh of the patients' dominant side. Data collection is opportunistic, based on length of stay. The discharge date is not fixed - thus day-in-study at discharge will not be the same for all participants. Depending on length of stay, participants will provide data for additional time points between baseline and discharge, including week 1, week 2, week 3, week 4 and then in 30 day intervals. However, not every participant will have the same number of time points. Note that the median hospital length of stay is 14 days. |
Change from baseline upright time up to a median 14 day hospital length of stay
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Change in upright bouts
Time Frame: Change from baseline upright bouts up to a median 14 day hospital length of stay
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The number of times/day that a participants gets upright out of bed (upright bouts) will be tracked continuously during the participants' hospital length of stay using accelerometers for both groups. Patients will be fitted with accelerometers within 24 hours of admission. An ActivatorTM (PAL Technologies Ltd) accelerometer will be attached to the mid-thigh of the patients' dominant side. Data collection is opportunistic, based on length of stay. The discharge date is not fixed - thus day-in-study at discharge will not be the same for all participants. Depending on length of stay, participants will provide data for additional time points between baseline and discharge, including week 1, week 2, week 3, week 4 and then in 30 day intervals. However, not every participant will have the same number of time points. Note that the median hospital length of stay is 14 days. |
Change from baseline upright bouts up to a median 14 day hospital length of stay
|
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Change in mobility: Hierarchical Assessment of Balance and Mobility (HABAM)
Time Frame: Change from baseline mobility scores up to a median 14 day hospital length of stay
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The HABAM is a clinical tool used to obtain a global measure of a patients' health through the assessment of mobility, transfers and balance.
Patients receive daily scores based on demonstrated ability in each focal area; testing if the patient can move around in bed, sit up in bed, stand up, etc.
The median hospital length of stay is expected to be 14 days, but many patients will have a longer length of stay.
This means that some patients will have more data collection time points than others.
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Change from baseline mobility scores up to a median 14 day hospital length of stay
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Change in balance: Hierarchical Assessment of Balance and Mobility (HABAM)
Time Frame: Change from baseline balance scores up to a median 14 day hospital length of stay
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The HABAM is a clinical tool used to obtain a global measure of a patients' health through the assessment of mobility, transfers and balance.
Patients receive daily scores based on demonstrated ability in each focal area; testing if the patient can move around in bed, sit up in bed, stand up, etc.
The median hospital length of stay is expected to be 14 days, but many patients will have a longer length of stay.
This means that some patients will have more data collection time points than others.
|
Change from baseline balance scores up to a median 14 day hospital length of stay
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Falls
Time Frame: From baseline to 30 days after hospital discharge
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The number of falls will be assessed by reviewing medical charts during hospitalization and by self-report at the one month follow-up.
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From baseline to 30 days after hospital discharge
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Hospital length of stay
Time Frame: From baseline up to a median 14 day hospital length of stay
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Medical chart reviews will be assessed to measure hospital length of stay
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From baseline up to a median 14 day hospital length of stay
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In-hospital mortality
Time Frame: From baseline up to a median 14 day hospital length of stay
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Medical chart reviews will be assessed to measure in-hospital mortality
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From baseline up to a median 14 day hospital length of stay
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Hospital readmissions
Time Frame: From baseline up to 30 days after hospital discharge
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Medical chart reviews will be assessed to measure readmissions within 30 days.
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From baseline up to 30 days after hospital discharge
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Safety evaluation (frequency of adverse events)
Time Frame: From baseline up to a median 14 day hospital length of stay
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Safety will be determined through medical chart audit for frequency of adverse events
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From baseline up to a median 14 day hospital length of stay
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Cost
Time Frame: From baseline up to 30 days after hospital discharge
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Costs (Canadian Dollars) related to the interventions will be collected prospectively from the intervention accounts and costs incurred by the healthcare system and patients will be collected through interviews and follow-up surveys, respectively.
An appropriate decision-analytic modeling framework will be employed to undertake cost-effectiveness analyses.
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From baseline up to 30 days after hospital discharge
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Olga Theou, PhD, Assistant Professor, Department of Medicine, Dalhousie University
Publications and helpful links
General Publications
- de Vries NM, Staal JB, van Ravensberg CD, Hobbelen JS, Olde Rikkert MG, Nijhuis-van der Sanden MW. Outcome instruments to measure frailty: a systematic review. Ageing Res Rev. 2011 Jan;10(1):104-14. doi: 10.1016/j.arr.2010.09.001. Epub 2010 Sep 17.
- Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal. 2001 Aug 8;1:323-36. doi: 10.1100/tsw.2001.58.
- Kortebein P, Ferrando A, Lombeida J, Wolfe R, Evans WJ. Effect of 10 days of bed rest on skeletal muscle in healthy older adults. JAMA. 2007 Apr 25;297(16):1772-4. doi: 10.1001/jama.297.16.1772-b. No abstract available.
- Liu B, Moore JE, Almaawiy U, Chan WH, Khan S, Ewusie J, Hamid JS, Straus SE; MOVE ON Collaboration. Outcomes of Mobilisation of Vulnerable Elders in Ontario (MOVE ON): a multisite interrupted time series evaluation of an implementation intervention to increase patient mobilisation. Age Ageing. 2018 Jan 1;47(1):112-119. doi: 10.1093/ageing/afx128.
- Brown CJ, Williams BR, Woodby LL, Davis LL, Allman RM. Barriers to mobility during hospitalization from the perspectives of older patients and their nurses and physicians. J Hosp Med. 2007 Sep;2(5):305-13. doi: 10.1002/jhm.209.
- Hoogerduijn JG, Buurman BM, Korevaar JC, Grobbee DE, de Rooij SE, Schuurmans MJ. The prediction of functional decline in older hospitalised patients. Age Ageing. 2012 May;41(3):381-7. doi: 10.1093/ageing/afs015. Epub 2012 Feb 28.
- Covinsky KE, Palmer RM, Fortinsky RH, Counsell SR, Stewart AL, Kresevic D, Burant CJ, Landefeld CS. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003 Apr;51(4):451-8. doi: 10.1046/j.1532-5415.2003.51152.x.
- Chong E, Ho E, Baldevarona-Llego J, Chan M, Wu L, Tay L. Frailty and Risk of Adverse Outcomes in Hospitalized Older Adults: A Comparison of Different Frailty Measures. J Am Med Dir Assoc. 2017 Jul 1;18(7):638.e7-638.e11. doi: 10.1016/j.jamda.2017.04.011. Epub 2017 Jun 3.
- Romero-Ortuno R, Forsyth DR, Wilson KJ, Cameron E, Wallis S, Biram R, Keevil V. The Association of Geriatric Syndromes with Hospital Outcomes. J Hosp Med. 2017 Feb;12(2):83-89. doi: 10.12788/jhm.2685.
- Romero-Ortuno R, Wallis S, Biram R, Keevil V. Clinical frailty adds to acute illness severity in predicting mortality in hospitalized older adults: An observational study. Eur J Intern Med. 2016 Nov;35:24-34. doi: 10.1016/j.ejim.2016.08.033. Epub 2016 Sep 2.
- Baldwin C, van Kessel G, Phillips A, Johnston K. Accelerometry Shows Inpatients With Acute Medical or Surgical Conditions Spend Little Time Upright and Are Highly Sedentary: Systematic Review. Phys Ther. 2017 Nov 1;97(11):1044-1065. doi: 10.1093/ptj/pzx076.
- Lipnicki DM, Gunga HC. Physical inactivity and cognitive functioning: results from bed rest studies. Eur J Appl Physiol. 2009 Jan;105(1):27-35. doi: 10.1007/s00421-008-0869-5. Epub 2008 Sep 17.
- Kortebein P, Symons TB, Ferrando A, Paddon-Jones D, Ronsen O, Protas E, Conger S, Lombeida J, Wolfe R, Evans WJ. Functional impact of 10 days of bed rest in healthy older adults. J Gerontol A Biol Sci Med Sci. 2008 Oct;63(10):1076-81. doi: 10.1093/gerona/63.10.1076.
- Aguilar-Farias N, Brown WJ, Peeters GM. ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments. J Sci Med Sport. 2014 May;17(3):293-9. doi: 10.1016/j.jsams.2013.07.002. Epub 2013 Aug 8.
- Egerton T, Brauer SG, Cresswell AG. Fatigue after physical activity in healthy and balance-impaired elderly. J Aging Phys Act. 2009 Jan;17(1):89-105. doi: 10.1123/japa.17.1.89.
- Tremblay MS, Carson V, Chaput JP, Connor Gorber S, Dinh T, Duggan M, Faulkner G, Gray CE, Gruber R, Janson K, Janssen I, Katzmarzyk PT, Kho ME, Latimer-Cheung AE, LeBlanc C, Okely AD, Olds T, Pate RR, Phillips A, Poitras VJ, Rodenburg S, Sampson M, Saunders TJ, Stone JA, Stratton G, Weiss SK, Zehr L. Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S311-27. doi: 10.1139/apnm-2016-0151.
- Shadmi E, Zisberg A. In-hospital mobility and length of stay. Arch Intern Med. 2011 Jul 25;171(14):1298; author reply 1298-9. doi: 10.1001/archinternmed.2011.321. No abstract available.
- Hartley PJ, Keevil VL, Alushi L, Charles RL, Conroy EB, Costello PM, Dixon B, Dolinska-Grzybek AM, Vajda D, Romero-Ortuno R. Earlier Physical Therapy Input Is Associated With a Reduced Length of Hospital Stay and Reduced Care Needs on Discharge in Frail Older Inpatients: An Observational Study. J Geriatr Phys Ther. 2019 Apr/Jun;42(2):E7-E14. doi: 10.1519/JPT.0000000000000134.
- Hartley P, Adamson J, Cunningham C, Embleton G, Romero-Ortuno R. Higher Physiotherapy Frequency Is Associated with Shorter Length of Stay and Greater Functional Recovery in Hospitalized Frail Older Adults: A Retrospective Observational Study. J Frailty Aging. 2016;5(2):121-5. doi: 10.14283/jfa.2016.95.
- Eklund K, Wilhelmson K, Gustafsson H, Landahl S, Dahlin-Ivanoff S. One-year outcome of frailty indicators and activities of daily living following the randomised controlled trial: "Continuum of care for frail older people". BMC Geriatr. 2013 Jul 22;13:76. doi: 10.1186/1471-2318-13-76.
- Theou O, O'Connell MD, King-Kallimanis BL, O'Halloran AM, Rockwood K, Kenny RA. Measuring frailty using self-report and test-based health measures. Age Ageing. 2015 May;44(3):471-7. doi: 10.1093/ageing/afv010. Epub 2015 Feb 16.
- Hubbard RE, Peel NM, Samanta M, Gray LC, Mitnitski A, Rockwood K. Frailty status at admission to hospital predicts multiple adverse outcomes. Age Ageing. 2017 Sep 1;46(5):801-806. doi: 10.1093/ageing/afx081.
- Laporte M, Keller HH, Payette H, Allard JP, Duerksen DR, Bernier P, Jeejeebhoy K, Gramlich L, Davidson B, Vesnaver E, Teterina A. Validity and reliability of the new Canadian Nutrition Screening Tool in the 'real-world' hospital setting. Eur J Clin Nutr. 2015 May;69(5):558-64. doi: 10.1038/ejcn.2014.270. Epub 2014 Dec 17.
- Lord S, Chastin SF, McInnes L, Little L, Briggs P, Rochester L. Exploring patterns of daily physical and sedentary behaviour in community-dwelling older adults. Age Ageing. 2011 Mar;40(2):205-10. doi: 10.1093/ageing/afq166. Epub 2011 Jan 14.
- Cowie A, Thow MK, Granat MH, Mitchell SL. A comparison of home and hospital-based exercise training in heart failure: immediate and long-term effects upon physical activity level. Eur J Cardiovasc Prev Rehabil. 2011 Apr;18(2):158-66. doi: 10.1177/1741826710389389. Epub 2011 Feb 18.
- Chan CS, Slaughter SE, Jones CA, Ickert C, Wagg AS. Measuring Activity Performance of Older Adults Using the activPAL: A Rapid Review. Healthcare (Basel). 2017 Dec 13;5(4):94. doi: 10.3390/healthcare5040094.
- Hubbard RE, Eeles EM, Rockwood MR, Fallah N, Ross E, Mitnitski A, Rockwood K. Assessing balance and mobility to track illness and recovery in older inpatients. J Gen Intern Med. 2011 Dec;26(12):1471-8. doi: 10.1007/s11606-011-1821-7. Epub 2011 Aug 16.
- Theou O, Stathokostas L, Roland KP, Jakobi JM, Patterson C, Vandervoort AA, Jones GR. The effectiveness of exercise interventions for the management of frailty: a systematic review. J Aging Res. 2011 Apr 4;2011:569194. doi: 10.4061/2011/569194.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Breaking Bad Rest
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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