• J Rehabil Res Dev · Jan 2016

    Review

    Pain research using Veterans Health Administration electronic and administrative data sources.

    • Erica A Abel, Cynthia A Brandt, Rebecca Czlapinski, and Joseph L Goulet.
    • Department of Veterans Affairs Connecticut Healthcare System, West Haven, CT;
    • J Rehabil Res Dev. 2016 Jan 1; 53 (1): 1-12.

    AbstractHealth services researchers are using Veterans Health Administration (VHA) electronic health record (EHR) data sources to examine the prevalence, treatment, and outcomes of pain among Veterans in VHA care. Little guidance currently exists on using these data; thus, findings may vary depending on the methods, data sources, and definitions used. We sought to identify current practices in order to provide guidance to future pain researchers. We conducted an anonymous survey of VHA-affiliated researchers participating in a monthly national pain research teleconference. Thirty-two researchers (89%) responded: 75% conducted pain-focused research, 78% used pain intensity numeric rating screening scale (NRS) scores to identify pain, 41% used International Classification of Diseases-9th Revision codes, and 57% distinguished between chronic and acute pain using either NRS scores or pharmacy data. The NRS and pharmacy data were rated as the most valid pain data sources. Of respondents, 48% reported the EHR data sources were adequate for pain research, while 45% had published peer-reviewed articles based on the data. Despite limitations, VHA researchers are increasingly using EHR data for pain research, and several common methods were identified. More information on the performance characteristics of these data sources and definitions is needed.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…