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Adult nursing
Cross-sectional study
An online system shows promise for the early detection of osteoporosis in Asian women
  1. Carl M Harper
  1. Department of Orthopaedic Surgery, Harvard Medical School, Boston, Massachusetts, USA
  1. Correspondence to : Dr Carl M Harper, Department of Orthopaedic Surgery, Harvard Medical School, 55 Fruit Street, White Building 535, Boston, MA 02114, USA; CarlMHarper{at}gmail.com

https://doi.org/10.1136/eb-2014-101953

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    Commentary on: Chang SF, Hong CM, Yang RS. The performance of an online osteoporosis detection system a sensitivity and specificity analysis. J Clin Nurs 2014;23:1803–9.OpenUrlCrossRefPubMed

    Implications for practice and research

    • Non-invasive methods are needed to accurately predict osteoporosis risk in the female patient population.

    • The ability of technology-driven tools to quickly and accurately identify patients at risk for osteoporosis need to be investigated further.

    Context

    Osteoporosis implications with regard to fragility fracture have been well established, causing a high cost to society and imparting significant morbidity to the patient. This study was conducted in Taiwan where the prevalence of osteoporosis in adults older than 35 years has been estimated at approximately 11%, with the female population having a nearly three times higher prevalence (14.9%) compared to …

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    Footnotes

    • Competing interests None.