Back

Physiotherapist and Patient Perspectives on a Snack-based Physical Activity Application and Tracking Device for People with Chronic Non-specific Low Back Pain: A Qualitative Study

Alali, A.; Soundy, A.; Falla, D.; Deane, J.

2026-05-06 rehabilitation medicine and physical therapy
10.64898/2026.04.29.26351862 medRxiv
Show abstract

ABSTRACT Objectives: To explore patients' and physiotherapists' perspectives on a snack-based physical activity (PA) approach and mobile health technologies (mHealth) for non-specific chronic low back pain (NSCLBP). Snack-based PA refers to short, frequent bouts of activity (2-5 minutes) integrated into daily routines. Design: Qualitative study using Interpretative Phenomenological Analysis (IPA) of semi-structured online interviews. Setting: Community-based recruitment in the United Kingdom. Interviews were conducted online via Microsoft Teams between May and November 2024. Participants: Sixteen participants were purposively sampled: eight adults with NSCLBP (lasting >=3 months in the previous year) and eight physiotherapists with >=2 years' experience managing people with NSCLBP. Results: Three shared themes were identified across both groups: (1) understanding the needs and requirements of PA; (2) perceptions of snack-based activity; and (3) factors influencing mobile health application use. Five subthemes were identified within themes one and three, together with two additional subthemes reported only by patients, relating to data sharing and technical issues. Both groups valued the time-efficiency and practical integration of snack-based activity, while highlighting the need for personalisation, age-appropriate content, accessibility and affordability. Conclusions: Physiotherapists and patients emphasised the potential value of the snack-based PA approach in terms of adherence. However, both groups agreed that future intervention development should prioritise personalisation, user-friendly design, and equitable digital access. Keywords: Low Back Pain; Chronic Pain; Exercise; Physical Activity; Qualitative Research; Mobile Applications; Telemedicine; Patient Compliance; Physical Therapists; Snack-based Physical Activity.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS Digital Health
91 papers in training set
Top 0.1%
17.3%
2
PLOS ONE
4510 papers in training set
Top 13%
14.5%
3
DIGITAL HEALTH
12 papers in training set
Top 0.1%
14.2%
4
Pilot and Feasibility Studies
12 papers in training set
Top 0.1%
6.2%
50% of probability mass above
5
Frontiers in Digital Health
20 papers in training set
Top 0.1%
4.8%
6
Health Expectations
12 papers in training set
Top 0.1%
4.3%
7
BMJ Open
554 papers in training set
Top 5%
4.1%
8
Peer Community Journal
254 papers in training set
Top 0.8%
3.6%
9
Trials
25 papers in training set
Top 0.5%
2.8%
10
F1000Research
79 papers in training set
Top 0.8%
2.6%
11
Thorax
32 papers in training set
Top 0.3%
2.4%
12
Scientific Reports
3102 papers in training set
Top 67%
1.2%
13
MethodsX
14 papers in training set
Top 0.2%
1.2%
14
PeerJ
261 papers in training set
Top 10%
1.2%
15
Healthcare
16 papers in training set
Top 1%
1.2%
16
Journal of Medical Internet Research
85 papers in training set
Top 3%
1.1%
17
International Journal of Behavioral Nutrition and Physical Activity
15 papers in training set
Top 0.4%
0.9%
18
BMJ Open Respiratory Research
32 papers in training set
Top 0.6%
0.8%
19
The Journal of Pain
26 papers in training set
Top 0.5%
0.8%
20
Journal of NeuroEngineering and Rehabilitation
28 papers in training set
Top 1.0%
0.7%
21
BMC Geriatrics
15 papers in training set
Top 0.4%
0.7%
22
Annals of Biomedical Engineering
34 papers in training set
Top 1%
0.7%
23
JMIR Research Protocols
18 papers in training set
Top 2%
0.7%
24
JMIR mHealth and uHealth
10 papers in training set
Top 0.5%
0.7%
25
International Journal of Environmental Research and Public Health
124 papers in training set
Top 7%
0.7%
26
Frontiers in Psychology
49 papers in training set
Top 1%
0.6%