This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1308) Registered Report (516) Back Pain (102) mHealth for Rehabilitation (234) Mobile Health (mhealth) (2760) Registered Report (516) Mobile Health (mhealth) (2760) Back Pain (102) mHealth for Rehabilitation (234)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40422, first published .
The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial

The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial

The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial

Authors of this article:

Anne Lovise Nordstoga1, 2 Author Orcid Image ;   Lene Aasdahl3, 4 Author Orcid Image ;   Louise Fleng Sandal5 Author Orcid Image ;   Tina Dalager5 Author Orcid Image ;   Atle Kongsvold4 Author Orcid Image ;   Paul Jarle Mork4 Author Orcid Image ;   Tom Ivar Lund Nilsen4, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations (14) Metrics

Journals

  1. Marcuzzi A, Klevanger N, Aasdahl L, Gismervik S, Bach K, Mork P, Nordstoga A. An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial. JMIR Human Factors 2024;11:e55716 View