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    Electronic consultations (E-consults) and their outcomes: a systematic review

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    Authors
    Vimalananda, Varsha G.
    Orlander, Jay D.
    Afable, Melissa K.
    Fincke, B Graeme.
    Solch, Amanda K.
    Rinne, Seppo T.
    Kim, Eun Ji.
    Cutrona, Sarah L.
    Thomas, Dylan D.
    Strymish, Judith L.
    Simon, Steven R.
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    UMass Chan Affiliations
    Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences
    Document Type
    Journal Article
    Publication Date
    2019-10-17
    Keywords
    consultation
    consultation and referral
    remote consultation
    systematic review
    telemedicine
    Health and Medical Administration
    Health Services Administration
    Health Services Research
    Telemedicine
    
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    Abstract
    OBJECTIVE: Electronic consultations (e-consults) are clinician-to-clinician communications that may obviate face-to-face specialist visits. E-consult programs have spread within the US and internationally despite limited data on outcomes. We conducted a systematic review of the recent peer-reviewed literature on the effect of e-consults on access, cost, quality, and patient and clinician experience and identified the gaps in existing research on these outcomes. MATERIALS AND METHODS: We searched 4 databases for empirical studies published between 1/1/2015 and 2/28/2019 that reported on one or more outcomes of interest. Two investigators reviewed titles and abstracts. One investigator abstracted information from each relevant article, and another confirmed the abstraction. We applied the GRADE criteria for the strength of evidence for each outcome. RESULTS: We found only modest empirical evidence for effectiveness of e-consults on important outcomes. Most studies are observational and within a single health care system, and comprehensive assessments are lacking. For those outcomes that have been reported, findings are generally positive, with mixed results for clinician experience. These findings reassure but also raise concern for publication bias. CONCLUSION: Despite stakeholder enthusiasm and encouraging results in the literature to date, more rigorous study designs applied across all outcomes are needed. Policy makers need to know what benefits may be expected in what contexts, so they can define appropriate measures of success and determine how to achieve them. Informatics Association 2019. This work is written by US Government employees and is in the public domain in the US.
    Source

    J Am Med Inform Assoc. 2019 Oct 17. pii: ocz185. doi: 10.1093/jamia/ocz185. [Epub ahead of print] Link to article on publisher's site

    DOI
    10.1093/jamia/ocz185
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/46837
    PubMed ID
    31621847
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    Rights
    Published by Oxford University Press on behalf of the American Medical Informatics Association 2019. This work is written by US Government employees and is in the public domain in the US.
    ae974a485f413a2113503eed53cd6c53
    10.1093/jamia/ocz185
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    Population and Quantitative Health Sciences Publications

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