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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Aug 11, 2021
Date Accepted: Feb 2, 2022
Date Submitted to PubMed: Apr 22, 2022

The final, peer-reviewed published version of this preprint can be found here:

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Alhussein G, Hadjileontiadis L

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

JMIR Mhealth Uhealth 2022;10(4):e32557

DOI: 10.2196/32557

PMID: 35451968

PMCID: 9073608

Digital health technologies for long term self-management of osteoporosis: a systematic review and meta-analysis

  • Ghada Alhussein; 
  • Leontios Hadjileontiadis

ABSTRACT

Background:

Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management.

Objective:

This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations.

Methods:

In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis.

Results:

In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12).

Conclusions:

Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.


 Citation

Please cite as:

Alhussein G, Hadjileontiadis L

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

JMIR Mhealth Uhealth 2022;10(4):e32557

DOI: 10.2196/32557

PMID: 35451968

PMCID: 9073608

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