Using Intervention Mapping to develop a decision support system-based smartphone app to support self-management of non-specific low back pain (SELFBACK) (Preprint)

2020 ◽  
Author(s):  
Malene Jagd Svendsen ◽  
Louise Fleng Sandal ◽  
Per Kjær ◽  
Barbara I Nicholl ◽  
Kay Cooper ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Digital Health ◽  
Intervention Mapping ◽  
Complex Interventions ◽  
Health Interventions ◽  
Self Management ◽  
Smartphone App ◽  
Low Back ◽  
Intervention Content

BACKGROUND International guidelines consistently endorse promotion of self-management for people with low back pain (LBP), however, implementation of these guidelines remains a challenge. Digital health interventions, such as those that can be provided by smartphone apps, have been proposed as a promising mode to support self-management in people with chronic conditions including LBP. However, the evidence base for digital health interventions to support self-management of LBP is weak and detailed description and documentation of the intervention is lacking. Structured Intervention Mapping (IM) constitutes a six-step process that can be used to guide the development of complex interventions. OBJECTIVE The aim of this paper is to describe the IM process for designing and creating an app-based intervention designed to support self-management of non-specific LBP to reduce pain-related disability. METHODS Five steps of the IM process were systematically applied: the core processes included literature reviews, brainstorming and group discussions, and inclusion of stakeholders and representatives of the target population. Throughout a period of more than two years, the intervention content and technical features of delivery were created, tested and revised through user tests, feasibility studies and a pilot study. RESULTS One behavioural outcome was identified as the proxy for reaching the overall programme goal; increased use of evidence-based self-management strategies. Physical exercises, education and physical activity were the main components of the self-management intervention, designed and produced to be delivered via a smartphone app. All intervention content was theoretically underpinned by behaviour change theory and Normalization Process Theory. CONCLUSIONS We describe a detailed example of the application of the IM approach to the development of a theory-driven, complex, and digital intervention designed to support self-management of LBP. This description provides transparency of the developmental process of the intervention and a possible blue-print for designing and creating future digital health interventions for self-management.

scholarly journals TEXT4myBACK – The development process of a self-management intervention delivered via text message for low back pain

2021 ◽  
pp. 100128
Author(s):  
Carolina G. Fritsch ◽  
Paulo H. Ferreira ◽  
Joanna L Prior ◽  
Giovana Vesentini ◽  
Patricia Schlotfeldt ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Development Process ◽  
Text Message ◽  
Self Management ◽  
Low Back ◽  
Management Intervention

Are Healthcare Providers Providing Appropriate Educational Material for People with Low Back Pain?

2021 ◽  
pp. 21
Author(s):  
Dalia Alemam
Keyword(s):  
Saudi Arabia ◽  
Low Back Pain ◽  
Back Pain ◽  
Healthcare Providers ◽  
Educational Material ◽  
Self Management ◽  
Low Back ◽  
Contributing Factors ◽  
Educational Materials ◽  
Military Hospitals

Introduction: One of the contributing factors to the burden of low back pain (LBP) is the failure to provide patients with appropriate education and advice about diagnosis and management. To date, no information exists about whether the content of patients’ information and educational material provided in physiotherapy clinics in Saudi Arabia is in line with the Clinical Practice Guidelines and contemporary practice. Therefore, the aim of this study was to investigate the content of educational material provided by physiotherapy clinics, hospitals, or distributed by healthcare associations to people with LBP in Saudi Arabia, to determine whether this information is adequate to reassure patients and inform self-management. This study also seeks to explore whether these materials are consistent with CPGs for people with LBP. Methodology: A sample of educational items (English or Arabic) in Saudi Arabia was collected. Content analysis was conducted to analyze data based on manifest content. Result: Seventeen educational materials were included, originating from diverse sources; the Ministry of Health hospitals (n = 10), military hospitals (n = 4), private hospitals (n = 2), and multidisciplinary healthcare association (n = 1). Six main sub-themes were identified: epidemiological/anatomical data about LBP (n = 6); causes/risk factors (n = 10); exercise (n = 14) and physical activity-related recommendations (n = 3); treatment-related recommendations (n = 2); general health and lifestyle-related recommendations (n = 8); and postural and ergonomics-related recommendations (n = 13). Ultimately, one theme was formulated, namely, the content of educational materials was hindering reassurance and self-management for people with LBP. The items reviewed were heavily influenced by the biomedical model of pain. Conclusion: The educational materials reviewed failed to properly report information about LBP from a biopsychosocial perspective and were inadequate to assure patients or inform self-management.

The ‘back home’ leaflet: developing a self-management leaflet for people with acute low back pain

1997 ◽  
Vol 9 (1) ◽  
pp. 61-63
Author(s):  
J.A. Chapman ◽  
L. Smith ◽  
P. Little ◽  
E. Cantrell ◽  
J. Langridge ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Self Management ◽  
Low Back ◽  
Acute Low Back Pain

Self-management and chronic low back pain: a qualitative study

2010 ◽  
Vol 66 (7) ◽  
pp. 1478-1486 ◽  
Author(s):  
Marie Crowe ◽  
Lisa Whitehead ◽  
Mary Jo Gagan ◽  
David Baxter ◽  
Avin Panckhurst
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Qualitative Study ◽  
Chronic Low Back Pain ◽  
Self Management ◽  
Low Back

The Effects of a Digital Health Program Using Chatbot Through a Mobile Messaging App on Musculoskeletal Problems: Randomized Controlled Trial of the Self-Management Program in Workers with Neck/Shoulder Pain/Stiffness and Low Back Pain (Preprint)

2021 ◽  
Author(s):  
Tomomi Anan ◽  
Shigeyuki Kajiki ◽  
Hiroyuki Oka ◽  
Tomoko Fujii ◽  
Kayo Kawamata ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Shoulder Pain ◽  
Health Program ◽  
Digital Health ◽  
Intervention Group ◽  
Musculoskeletal Symptoms ◽  
Control Group ◽  
Low Back ◽  
Musculoskeletal Problems

BACKGROUND Musculoskeletal symptoms, such as neck and shoulder pain and stiffness and low back pain, are common health problems in the working population. They are the leading causes of presenteeism (employees being physically present at work but unable to be fully engaged). However, current medical systems do not spare sufficient resources for non-specific musculoskeletal problems. OBJECTIVE This study aimed to evaluate the improvements in musculoskeletal symptoms after use of an exercise-based artificial intelligence (AI)-assisted interactive health promotion system that operates through a mobile messaging app (the AI-assisted health program). METHODS We conducted a two-armed, randomized, controlled, and unblinded trial in workers with neck/shoulder stiffness and/or low back pain. We recruited participants with these symptoms through email notifications. We obtained 48 participants in the intervention group and 46 in the control group. The intervention group received the AI-assisted health program, in which the chatbot sent messages to users with the exercise instructions at a fixed time every day through the smart phone’s chatting app (LINE) for 12 weeks. The exercises could be performed within 1 minute. The control group continued with their usual care routines, which included exercising for 3 minutes at recess time provided by the company to prevent stiff shoulders and back pain. We assessed the subjective severities of the neck and shoulder pain/stiffness and low back pain in participants using a scoring scale of 1 to 5 for both the intervention and the control group at baseline and after 12 weeks of intervention using an online form. RESULTS We analyzed 47 patients in the intervention group and 40 in the control group. The participants in the intervention group showed significant improvements in the severities of the neck/shoulder pain/stiffness and low back pain compared to those in the control group (OR 12.74, P <.001). Based on the subjective assessment of the improvement of the pain/stiffness at 12 weeks, 36 (77%) participants in the intervention group and 3 (8%) in the control group had improved (improved, slightly improved) (OR 54.23, P <.001). CONCLUSIONS This study showed that the short exercises provided by the AI-assisted health program improved both neck/shoulder pain/stiffness and low back pain in 12 weeks. Digital health programs are low cost and safe and can save experts’ working hours and labor costs. Further studies are needed to identify the elements of the AI-assisted health program that worked. CLINICALTRIAL University hospital Medical Information Network-Clinical Trials Registry (UMIN-CTR) 000033894; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000038307.

Sign in / Sign up

Export Citation Format

Share Document