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Medicine (Baltimore) ; 99(51): e23776, 2020 Dec 18.
Article in English | MEDLINE | ID: mdl-33371146

ABSTRACT

ABSTRACT: Whereas handover of pertinent information between hospital and primary care is necessary to ensure continuity of care and patient safety, both quality of content and timeliness of discharge summary need to be improved. This study aims to assess the impact of a quality improvement program on the quality and timeliness of the discharge summary/letter (DS/DL) in a University hospital with approximatively 40 clinical units using an Electronic medical record (EMR).A discharge documents (DD) quality improvement program including revision of the EMR, educational program, audit (using scoring of DD) and feedback with a ranking of clinical units, was conducted in our hospital between October 2016 and November 2018. Main outcome measures were the proportion of the DD given to the patient at discharge and the mean of the national score assessing the quality of the discharge documents (QDD score) with 95% confidence interval.Intermediate evaluation (2017) showed a significant improvement as the proportion of DD given to patients increased from 63% to 85% (P < .001) and mean QDD score rose from 41 (95%CI [36-46]) to 74/100 (95%CI [71-77]). In the final evaluation (2018), the proportion of DD given to the patient has reached 95% and the mean QDD score was 82/100 (95% CI [80-85]). The areas of the data for admission and discharge treatments remained the lowest level of compliance (44%).The involvement of doctors in the program and the challenge of participating units have fostered the improvement in the quality of the DD. However, the level of appropriation varied widely among clinical units and completeness of important information, such as discharge medications, remains in need of improvement.


Subject(s)
Documentation/standards , Patient Discharge/standards , Program Evaluation/methods , Time Factors , Controlled Before-After Studies , Documentation/methods , Documentation/statistics & numerical data , Hospitalization/statistics & numerical data , Humans , Paris , Patient Discharge/statistics & numerical data , Quality Improvement
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