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An intervention to improve discharge summary completion rates within an Australian teaching hospital
Author(s) -
F Gardiner
Publication year - 2015
Publication title -
journal of hospital administration
Language(s) - English
Resource type - Journals
eISSN - 1927-7008
pISSN - 1927-6990
DOI - 10.5430/jha.v5n2p1
Subject(s) - medicine , audit , intervention (counseling) , hospital discharge , emergency medicine , sample size determination , test (biology) , medical emergency , nursing , intensive care medicine , paleontology , statistics , management , mathematics , economics , biology
Objective: This study was designed to improve patient discharge summary completion rates directly following patient hospital discharge. The primary reason for this was to improve continuity of patient care and reduce hospital readmissions within 28 days.Methods: The researcher benchmarked the discharge summary completion rate before conducting individual feedback directly to clinicians. Content was deemed complete if the information was present and appropriate. Partially completed, unclear, or absent information was deemed outstanding. This information was gained by looking at the hospital’s patient records. The researcher benchmarked the readmission data. This data included establishing monthly patient discharges (excluding deaths) and the number of unplanned and unexpected readmissions within 28 days related to the primary admission. This information was used to compare pre-intervention to invention readmission rates.Results: The hospital’s total discharge completion rate statistically changed from 91.92% pre-intervention to 99.18% postintervention, with the biggest change occurring in Obstetrics and Gynaecology (O&G). O&G discharge completion rate improved from 46.94% pre-intervention to 98.84% post-intervention. A two sample t-test indicated that this difference was significant, t(2.0905) = 0.0458, p = .05. The readmission rates statistical changed from 0.49% pre-intervention to 0.26% during the intervention period. A two sample t-test indicated that this difference was significant, t(2.3679) = 0.04205, p = .05.Conclusions: This study provided evidence of the effectiveness of conducting audit and feedback sessions as it relates to patient discharge summaries and readmissions.

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