Show simple item record

dc.contributor.advisorChairperson, Graduate Committee: Susan Luparellen
dc.contributor.authorShomate, Heathen
dc.date.accessioned2018-10-12T21:10:14Z
dc.date.available2018-10-12T21:10:14Z
dc.date.issued2018en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/14590en
dc.description.abstractReadmission to a psychiatric hospital within 30 days is a common problem. Worldwide, nearly one in seven individuals hospitalized for psychiatric reasons are readmitted within 30 days of discharge. Frequent readmissions in individuals with a psychiatric cause are also problematic in the Western United States. The aim of this DNP project was to use the READMIT tool to determine if it can predict psychiatric readmission within 30 days of hospital discharge. The cohort included in the project were adults 18-years-old and older diagnosed as having a psychiatric disorder that caused them to be admitted to an inpatient psychiatric treatment unit. Data were collected from a 'healthcare organization in a western state' using a retrospective chart review of 50 electronic medical records (EMRs) that were at least one year old. The data were collected on the retrospective dates of 06/24/17, 7/01/17, and 7/08/17. The dates were selected close together so that treatments, providers, and cares would be relatively similar, thus having less of a chance to skew the data. Each of the 50 patient charts was examined and each was given its own separate score generated by the READMIT tool. The READMIT tool's scores ranged from 0 to 41, with higher scores indicating an increased probability for readmission. The mean READMIT score for patients that were readmitted was 23.21 compared with a mean of 17.78 for the group of patients that were not readmitted. Of the charts examined for this study, 14 (28%) of them were readmitted within 30 days. The READMIT index did show that the higher an individual scores, the more likely he or she would be readmitted. The READMIT tool has the potential to enhance psychiatric treatment as it can identify individuals more likely to be readmitted.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Nursingen
dc.subject.lcshMental healthen
dc.subject.lcshPatientsen
dc.subject.lcshDiagnosisen
dc.subject.lcshHospitals--Admission and dischargeen
dc.subject.lcshRisk assessmenten
dc.subject.lcshQuantitative researchen
dc.titleImplementation of a quality-improvement project to improve identification of patients at high risk for psychiatric hospitalizationen
dc.typeDNPen
dc.rights.holderCopyright 2018 by Heath Shomateen
thesis.degree.committeemembersMembers, Graduate Committee: Tarole Richards; Melinda Truesdell; Rebecca Bourret.en
thesis.degree.departmentNursing.en
thesis.degree.genreProfessional Paperen
thesis.degree.nameDoctor of Nursing Practiceen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage91en
mus.data.thumbpage67en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.