Development and implementation of a 'Mental Health Finder' software tool within an electronic medical record system

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dc.contributor.author Swan, Davina
dc.contributor.author Hannigan, Ailish
dc.contributor.author Higgins, Sean
dc.contributor.author Cullen, Walter
dc.contributor.author et al.
dc.date.accessioned 2018-05-14T09:31:20Z
dc.date.available 2018-05-14T09:31:20Z
dc.date.copyright 2017 Springer en
dc.date.issued 2017-02
dc.identifier.citation Irish Journal of Medical Science en
dc.identifier.uri http://hdl.handle.net/10197/9378
dc.description.abstract In Ireland, as in many other healthcare systems, mental health service provision is being reconfigured with a move toward more care in the community, and particularly primary care. Recording and surveillance systems for mental health information and activities in primary care are needed for service planning and quality improvement. We describe the development and initial implementation of a software tool ('mental health finder') within a widely used primary care electronic medical record system (EMR) in Ireland to enable large-scale data collection on the epidemiology and management of mental health and substance use problems among patients attending general practice. In collaboration with the Irish Primary Care Research Network (IPCRN), we developed the 'Mental Health Finder' as a software plug-in to a commonly used primary care EMR system to facilitate data collection on mental health diagnoses and pharmacological treatments among patients. The finder searches for and identifies patients based on diagnostic coding and/or prescribed medicines. It was initially implemented among a convenience sample of six GP practices. Prevalence of mental health and substance use problems across the six practices, as identified by the finder, was 9.4% (range 6.9-12.7%). 61.9% of identified patients were female; 25.8% were private patients. One-third (33.4%) of identified patients were prescribed more than one class of psychotropic medication. Of the patients identified by the finder, 89.9% were identifiable via prescribing data, 23.7% via diagnostic coding. The finder is a feasible and promising methodology for large-scale data collection on mental health problems in primary care. en
dc.language.iso en en
dc.publisher Springer en
dc.rights The final publication is available at Springer via http://dx.doi.org/10.1007/s11845-016-1541-4 en
dc.subject Software plug-in en
dc.subject Electronic medical record en
dc.subject Mental health en
dc.subject Substance use en
dc.subject Primary care en
dc.title Development and implementation of a 'Mental Health Finder' software tool within an electronic medical record system en
dc.type Journal Article en
dc.internal.authorcontactother davina.swan@ucd.ie
dc.status Peer reviewed en
dc.identifier.volume 186 en
dc.identifier.issue 1 en
dc.identifier.startpage 191 en
dc.identifier.endpage 200 en
dc.identifier.doi 10.1007/s11845-016-1541-4
dc.neeo.contributor Swan|Davina|aut|
dc.neeo.contributor Hannigan|Ailish|aut|
dc.neeo.contributor Higgins|Sean|aut|
dc.neeo.contributor Cullen|Walter|aut|
dc.neeo.contributor et al.||aut|
dc.description.othersponsorship University of Limerick en
dc.internal.rmsid 787443047
dc.date.updated 2017-09-15T17:35:32Z


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