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Evaluating diverse electronic consultation programs with a common framework

dc.contributor.authorTuot, Delphine S
dc.contributor.authorLiddy, Clare
dc.contributor.authorVimalananda, Varsha G
dc.contributor.authorPecina, Jennifer
dc.contributor.authorMurphy, Elizabeth J
dc.contributor.authorKeely, Erin
dc.contributor.authorSimon, Steven R
dc.contributor.authorNorth, Frederick
dc.contributor.authorOrlander, Jay D
dc.contributor.authorChen, Alice H
dc.date.accessioned2018-10-28T15:14:19Z
dc.date.available2018-10-28T15:14:19Z
dc.date.issued2018-10-24
dc.date.updated2018-10-28T15:14:19Z
dc.description.abstractAbstract Background Electronic consultation is an emerging mode of specialty care delivery that allows primary care providers and their patients to obtain specialist expertise without an in-person visit. While studies of individual programs have demonstrated benefits related to timely access to specialty care, electronic consultation programs have not achieved widespread use in the United States. The lack of common evaluation metrics across health systems and concerns related to the generalizability of existing evaluation efforts may be hampering further growth. We sought to identify gaps in knowledge related to the implementation of electronic consultation programs and develop a set of shared evaluation measures to promote further diffusion. Methods Using a case study approach, we apply the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) and the Quadruple Aim frameworks of evaluation to examine electronic consultation implementation across diverse delivery systems. Data are from 4 early adopter healthcare delivery systems (San Francisco Health Network, Mayo Clinic, Veterans Administration, Champlain Local Health Integration Network) that represent varied organizational structures, care for different patient populations, and have well-established multi-specialty electronic consultation programs. Data sources include published and unpublished quantitative data from each electronic consultation database and qualitative data from systems’ end-users. Results Organizational drivers of electronic consultation implementation were similar across the systems (challenges with timely and/or efficient access to specialty care), though unique system-level facilitators and barriers influenced reach, adoption and design. Effectiveness of implementation was consistent, with improved patient access to timely, perceived high-quality specialty expertise with few negative consequences, garnering high satisfaction among end-users. Data about patient-specific clinical outcomes are lacking, as are policies that provide guidance on the legal implications of electronic consultation and ideal remuneration strategies. Conclusion A core set of effectiveness and implementation metrics rooted in the Quadruple Aim may promote data-driven improvements and further diffusion of successful electronic consultation programs.
dc.identifier.citationBMC Health Services Research. 2018 Oct 24;18(1):814
dc.identifier.urihttps://doi.org/10.1186/s12913-018-3626-4
dc.identifier.urihttps://doi.org/10.20381/ruor-22591
dc.identifier.urihttp://hdl.handle.net/10393/38338
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dc.titleEvaluating diverse electronic consultation programs with a common framework
dc.typeJournal Article

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