open access publication

Article, 2024

Interest in mHealth Among Patients With Low Back Pain: Cross-Sectional Study

JMIR HUMAN FACTORS, ISSN 2292-9495, 2292-9495, Volume 11, 10.2196/48729

Contributors

Ipsen, Jonas (Corresponding author) [1] [2] Sandal, Louise F. 0000-0001-8436-1046 [1] Chang, Natalie 0000-0002-5772-0127 [1] [2] Schiottz-Christensen, B. 0000-0003-3866-856X [1] Gupta, Nidhi 0000-0003-3968-6364 [1] Hansen, Anders 0000-0002-5400-8847 [1] [2]

Affiliations

  1. [1] Univ Hosp Southern Denmark, Lillebaelt Hosp, Dept Phys Therapy & Occupat Therapy, Kolding, Denmark
  2. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Univ Hosp Southern Denmark, Lillebaelt Hosp, Dept Phys Therapy & Occupat Therapy, Kolding, Denmark
  4. [NORA names: Region of Southern Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD]

Abstract

Background: Digitally supported self-management tailored to an individual's need, in addition to usual care, may reduce pain-related disability compared to usual care alone, and patients with low back pain (LBP) using mobile health (mHealth) solutions express positive experiences. Hence, implementing mHealth solutions designed to support self-management is desirable from a clinical and patient perspective. Easily accessible mHealth solutions that can support the self-management of patients with LBP are available, but interest may be subgroup specific. Understanding the characteristics and preferences of patients with LBP labeled as interested may help to reach relevant LBP patient groups and inform the development and implementation of effective interventions with mHealth for patients with LBP. Objective: This study aims to explore the proportion of patients with LBP labeled as interested in testing an mHealth solution designed to support self-management in addition to usual care and to assess how these patients differ from those who were labeled as not interested. Methods: This exploratory cross-sectional study analyzed demographic and patient-reported outcomes from the SpineData registry, a Danish registry of patients with LBP in an outpatient setting. Between February and December 2019, the SpineData registry was used to assess the preliminary eligibility of patients for a clinical trial (selfBACK). Patients were labeled as interested or uninterested depending on if they responded to an invitation to be tested for eligibility for the trial Outcomes were selected from the International Classification of Functioning core set of LBP using a clinical approach. Associations were assessed in a backward selection process, and the proportion of variance explained was assessed with pseudo-R2 statistic. Results: This study included 843 patients, with 181 (21%) individuals labeled as interested in participating in the selfBACK trial. Notably, the cohort labeled as interested differed from their uninterested counterparts in two key aspects: age (36-65 years: 116/181, 64.1% vs 347/662, 52.4%; P=.003) and smoking status (smokers: 22/181, 12.5% vs 174/662, 26.6%; P<.001). Those aged 36-65 years had higher odds of being labeled as interested compared to individuals aged 18-35 years (odds ratio [OR] 0.43, 95% CI 0.26-0.71) and those 65 years or older (OR 0.77, 95% CI 0.53-1.15). Nevertheless, age accounted for only a modest proportion of variance (R2=0.014). Smokers demonstrated lower odds of being labeled as interested (OR 0.39, 95% CI 0.24-0.64), with smoking status explaining a similarly small proportion of variance (R2=0.019). Collectively, age and smoking status accounted for 3.3% of the variance. Conclusions: Our investigation revealed that 181 (21%) individuals with LBP invited to participate in the mHealth solution trial for self -management expressed interest. Generally, the characteristics of those labeled as interested and uninterested were comparable. Of note, patients aged 36-65 years had a higher frequency of being labeled as interested compared to their younger and older counterparts.

Keywords

characteristics, low back pain, mHealth solutions, mobile health, patient interest, representativeness, transferability

Data Provider: Clarivate