Neelapala Y V Raghava, Raja Riya, Bhandary Aishwarya
Department of Physiotherapy, School of Allied Health Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Musculoskeletal Care. 2019 Jun;17(2):277-281. doi: 10.1002/msc.1388. Epub 2019 Feb 14.
The aim of the present study was to analyse the freely available online information on the causes of neck pain based on the biopsychosocial model of pain.
A preliminary biopsychosocial analysis tool was developed, after an extensive literature review of the pathoanatomical and psychosocial contributors for neck pain. The websites that commonly appeared after the search term "causes of neck pain" in the first two pages of the search engines (Google, Yahoo and Bing) were selected for the biopsychosocial analysis. In addition, the websites were reviewed for Health on Net (HON) certification.
Ten websites were analysed, of which eight were identified to contain a predominant biomedical orientation, as they reported only the pathoanatomical causes of neck pain. The remaining two websites were determined to represent limited psychosocial information and described only two psychological contributors to the neck pain.
The online information on the causes of neck pain appears to contain limited biopsychosocial orientation. Further detailed analysis is essential to obtain firm conclusions on the content validity of online information on neck pain.
本研究旨在基于疼痛的生物心理社会模型,分析关于颈部疼痛病因的免费在线信息。
在对颈部疼痛的病理解剖学和心理社会影响因素进行广泛文献综述后,开发了一种初步的生物心理社会分析工具。选择在搜索引擎(谷歌、雅虎和必应)前两页中搜索词“颈部疼痛的病因”后常见的网站进行生物心理社会分析。此外,还对这些网站的健康网络(HON)认证情况进行了审查。
分析了10个网站,其中8个被确定主要以生物医学为导向,因为它们仅报道了颈部疼痛的病理解剖学原因。其余两个网站被认为提供的心理社会信息有限,仅描述了颈部疼痛的两个心理影响因素。
关于颈部疼痛病因的在线信息似乎生物心理社会导向有限。进一步详细分析对于就颈部疼痛在线信息的内容效度得出确凿结论至关重要。