Randomised Controlled Trial for the selfBACK Project

NCT ID: NCT03798288

Last Updated: 2023-02-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

461 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-03-08

Study Completion Date

2020-10-20

Brief Summary

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The intervention consists of a digital decision support system delivering a weekly plan of suggested activities that the participant can use to self-manage their low back pain (LBP) via an smartphone app.

Detailed Description

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The selfBACK intervention consists of the selfBACK system, that provides the participants with an individually tailored weekly plan of suggested activities to use in their self-management of low back pain.

The selfBACK system constitutes a data-driven decision support system that uses case-based reasoning to capture and reuse participant cases to suggest the most suitable self-management plan for participants. The system is an intelligent system delivering self-management plans tailored to individual participant characteristics. Information about participant characteristics is collected via a (baseline) questionnaire, weekly self-reports via the app on symptom progression etc., and a wristband that detect daily number of steps. The weekly plans are presented in an app to participants.

The weekly plan includes three categories of content;

1. information/education
2. recommended daily number of steps
3. recommended strength and flexibility exercises

Outcomes are collected as baseline, 6 weeks, 3, 6, 9 months.

Conditions

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Low Back Pain

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

The study design is a multi-center randomised controlled trial with 2 parallel arms
Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Investigators
The analysis of the data will be performed blindly.

Study Groups

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Usual care + selfBACK

The selfBACK system constitutes a data-driven decision support system that uses case-based reasoning to capture and reuse participant cases to suggest the most suitable self-management plan for participants. The system is an intelligent system delivering self-management plans tailored to individual participant characteristics. Information about participant characteristics is collected via a (baseline) questionnaire, weekly self-reports via the app on symptom progression etc., and a wristband that detect daily number of steps. The weekly plans are presented in an app to participants.

The weekly plan includes three categories of content;

1. information/education
2. recommended daily number of steps
3. recommended strength and flexibility exercises

Group Type EXPERIMENTAL

selfBACK

Intervention Type BEHAVIORAL

Participants will use the selfBACK system and app in addition to receiving usual care

Usual care

Intervention Type OTHER

Participants will receive usual care

Usual care

Any diagnostic or treatment-related pathway (e.g. receive information, advice or treatment) as instructed by their health care professional. Patients are allowed to seek care, treatment or help elsewhere as normal.

Group Type ACTIVE_COMPARATOR

Usual care

Intervention Type OTHER

Participants will receive usual care

Interventions

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selfBACK

Participants will use the selfBACK system and app in addition to receiving usual care

Intervention Type BEHAVIORAL

Usual care

Participants will receive usual care

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Seeking care from primary health-care practice (general practitioners, physiotherapists, chiropractors) or a local outpatient spinecenter (DK) for non-specific LBP within the past 8 weeks
* LBP of any duration
* Mild-to severe pain-related disability rated as 6 or above on the Roland Morris Disability Questionnaire
* Age: ≥18 years
* Own and regularly use a smart phone (with at least Android 7.0 or iOS11.0) with internet access (Wi-Fi and/or mobile data)
* Have a working email address and have access to a computer with internet access to complete questionnaires in a web browser.

Exclusion Criteria

* Not interested,
* Unable to speak, read or understand the national language (Danish/ Norwegian),
* Cognitive impairments or learning disabilities limiting participation,
* Mental or physical illness or condition limiting participation,
* Inability to take part in exercise/physical activity,
* Fibromyalgia (diagnosed by a health care professional),
* Pregnancy,
* Previous back surgery
* Ongoing participation in other research trials for LBP management.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Norwegian University of Science and Technology

OTHER

Sponsor Role collaborator

National Research Centre for the Working Environment, Denmark

OTHER_GOV

Sponsor Role collaborator

University of Glasgow

OTHER

Sponsor Role collaborator

Robert Gordon University

OTHER

Sponsor Role collaborator

University of Southern Denmark

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Karen Søgaard, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Southern Denmark

Locations

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Physical Activity and Health at Work, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark

Odense, , Denmark

Site Status

Norwegian University of Science and Technology

Trondheim, , Norway

Site Status

Countries

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Denmark Norway

References

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Mork PJ, Bach K; selfBACK Consortium. A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. JMIR Res Protoc. 2018 Jul 20;7(7):e167. doi: 10.2196/resprot.9379.

Reference Type BACKGROUND
PMID: 30030208 (View on PubMed)

Kongstad LP, Overas CK, Skovsgaard CV, Sandal LF, Hartvigsen J, Sogaard K, Mork PJ, Stochkendahl MJ. Cost-effectiveness analysis of app-delivered self-management support (selfBACK) in addition to usual care for people with low back pain in Denmark. BMJ Open. 2024 Sep 5;14(9):e086800. doi: 10.1136/bmjopen-2024-086800.

Reference Type DERIVED
PMID: 39242164 (View on PubMed)

Bardal EM, Sandal LF, Nilsen TIL, Nicholl BI, Mork PJ, Sogaard K. Do age, gender, and education modify the effectiveness of app-delivered and tailored self-management support among adults with low back pain?-Secondary analysis of the selfBACK randomised controlled trial. PLOS Digit Health. 2023 Sep 22;2(9):e0000302. doi: 10.1371/journal.pdig.0000302. eCollection 2023 Sep.

Reference Type DERIVED
PMID: 37738237 (View on PubMed)

Svendsen MJ, Nicholl BI, Mair FS, Wood K, Rasmussen CDN, Stochkendahl MJ. One size does not fit all: Participants' experiences of the selfBACK app to support self-management of low back pain-a qualitative interview study. Chiropr Man Therap. 2022 Oct 3;30(1):41. doi: 10.1186/s12998-022-00452-2.

Reference Type DERIVED
PMID: 36192724 (View on PubMed)

Overas CK, Nilsen TIL, Nicholl BI, Rughani G, Wood K, Sogaard K, Mair FS, Hartvigsen J. Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability. BMC Med. 2022 Feb 8;20(1):53. doi: 10.1186/s12916-022-02237-z.

Reference Type DERIVED
PMID: 35130898 (View on PubMed)

Sandal LF, Bach K, Overas CK, Svendsen MJ, Dalager T, Stejnicher Drongstrup Jensen J, Kongsvold A, Nordstoga AL, Bardal EM, Ashikhmin I, Wood K, Rasmussen CDN, Stochkendahl MJ, Nicholl BI, Wiratunga N, Cooper K, Hartvigsen J, Kjaer P, Sjogaard G, Nilsen TIL, Mair FS, Sogaard K, Mork PJ. Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain-Related Disability: A selfBACK Randomized Clinical Trial. JAMA Intern Med. 2021 Oct 1;181(10):1288-1296. doi: 10.1001/jamainternmed.2021.4097.

Reference Type DERIVED
PMID: 34338710 (View on PubMed)

Rasmussen CDN, Svendsen MJ, Wood K, Nicholl BI, Mair FS, Sandal LF, Mork PJ, Sogaard K, Bach K, Stochkendahl MJ. App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Res Protoc. 2020 Oct 29;9(10):e20308. doi: 10.2196/20308.

Reference Type DERIVED
PMID: 33118959 (View on PubMed)

Sandal LF, Stochkendahl MJ, Svendsen MJ, Wood K, Overas CK, Nordstoga AL, Villumsen M, Rasmussen CDN, Nicholl B, Cooper K, Kjaer P, Mair FS, Sjogaard G, Nilsen TIL, Hartvigsen J, Bach K, Mork PJ, Sogaard K. An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Res Protoc. 2019 Dec 3;8(12):e14720. doi: 10.2196/14720.

Reference Type DERIVED
PMID: 31793897 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Related Links

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http://www.selfback.eu

project webpage

Other Identifiers

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18/17955CDJ

Identifier Type: -

Identifier Source: org_study_id

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