The Step Home Trial: Utilising Physical Activity Data in the Acute Post-operative Setting

February 17, 2021 updated by: Imperial College London

This is an observational study, which aims to assess how physical activity levels following surgical procedures correlate with patient recovery and length of hospital stay, as well as the utility of this physical activity data to the postoperative surgical team. Surgical teams frequently enquire about their patients' physical activity levels on postoperative ward rounds. Although this information is often provided anecdotally by nursing staff and junior doctors, there are no objective data made available to the clinician. Such data has the potential to supplement other observations (e.g. heart rate, blood pressure, temperature) to help gain an impression of a patient's recovery and physical status, this in turn could provide evidence to help facilitate early discharge as well as to predict medium to longterm outcomes. Advances in wearable technology allow the investigators to collect detailed information with regard to activity with minimal disruption.

Recent literature has shown that these wristworn sensors can feasibly be worn in hospital pre and postoperatively, with evidence of a correlation between the amount of steps taken postoperatively and the length of hospital stay. This study will provide further evidence for the usability and utility of wearable sensors in the inpatient surgical setting. It will provide supporting evidence for surgeons to confidently analyse and assess patients in hospital, allowing for safe and expedient discharge home as well as identify highrisk patients who are likely to require extra support and surveillance in the community setting.

Study Overview

Status

Completed

Study Type

Observational

Enrollment (Actual)

59

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Not In US/Canada
      • London, Not In US/Canada, United Kingdom, W2 1NY
        • St Mary's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

patients due for elective surgical procedures will be recruited from outpatient general surgical clinic

Description

Inclusion Criteria:

  • Undergoing elective surgical operative procedure

Exclusion Criteria:

  • Unable to mobilise independently Have medical condition characterized by movement disorder e.g. Parkinson's Disease Unable to understand and complete the SF-36 (unless interpreter present) or lack capacity to consent Psychological Disorder Aged less than 18

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Total Activity Pre-op
Time Frame: 2-3 weeks
2-3 weeks
Length of Hospital Stay
Time Frame: hospital stay (through hospital stay, approximately to 35 days)
hospital stay (through hospital stay, approximately to 35 days)
Time Spent in Light Activity - Pre-op
Time Frame: 2-3 weeks

Signal vector magnitude (SVM) and cut point analysis algorithms are used with the tri-axial accelerometer data to quantify activity into sedentary, light, moderate and vigorous activity.

The time spent in the different activity levels was analysed from the recorded accelerometer data and analysed.

2-3 weeks
Time Spent in Moderate Activity - Preop
Time Frame: 2-3 weeks

Signal vector magnitude (SVM) and cut point analysis algorithms are used with the tri-axial accelerometer data to quantify activity into sedentary, light, moderate and vigorous activity.

The time spent in the different activity levels was analysed from the recorded accelerometer data and analysed.

2-3 weeks
Time Spent in Vigorous Activity - Pre-op
Time Frame: 2-3 weeks

Signal vector magnitude (SVM) and cut point analysis algorithms are used with the tri-axial accelerometer data to quantify activity into sedentary, light, moderate and vigorous activity.

The time spent in the different activity levels was analysed from the recorded accelerometer data and analysed.

2-3 weeks

Secondary Outcome Measures

Outcome Measure
Time Frame
Number of Participants With Re-admission at Day 30
Time Frame: 30 days after surgery
30 days after surgery
Number of Participants With Complications up to 6 Weeks Post Discharge
Time Frame: up to 6 weeks
up to 6 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

October 1, 2015

Primary Completion (Actual)

October 1, 2017

Study Completion (Actual)

October 1, 2017

Study Registration Dates

First Submitted

September 30, 2015

First Submitted That Met QC Criteria

October 20, 2015

First Posted (Estimate)

October 22, 2015

Study Record Updates

Last Update Posted (Actual)

March 9, 2021

Last Update Submitted That Met QC Criteria

February 17, 2021

Last Verified

February 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 15SM2689
  • 15/LO/1038 (Other Identifier: NRES London City Road & Hampstead)

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.

Clinical Trials on Surgery

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