A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia

Background: The accuracy of Emergency Department (ED) doctors in making a provisional diagnosis is crucial as it has direct impact on the patient treatment, safety, length of stay and cost of treatment. The study of the accuracy of the provisional diagnosis made by ED to compare with the discharg...

Full description

Saved in:
Bibliographic Details
Main Author: Adnan, Mohd Syafwan
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.usm.my/46574/1/Dr.%20Mohd%20Syafwan%20Adnan-24%20pages.pdf
http://eprints.usm.my/46574/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Sains Malaysia
Language: English
id my.usm.eprints.46574
record_format eprints
spelling my.usm.eprints.46574 http://eprints.usm.my/46574/ A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia Adnan, Mohd Syafwan R Medicine (General) Background: The accuracy of Emergency Department (ED) doctors in making a provisional diagnosis is crucial as it has direct impact on the patient treatment, safety, length of stay and cost of treatment. The study of the accuracy of the provisional diagnosis made by ED to compare with the discharge diagnosis is scarce in its availability and most results vary with different continents. This study was conducted to evaluate the accuracy of the diagnosis made by ED doctors in Hospital Universiti Sains Malaysia (HUSM) and the factors contributed to the discrepancy. Methods: This was a retrospective cross-sectional study in which medical records of patient admitted to hospital USM within Mei 2016 until December 2017 were selected using simple random sampling methods. The folders were then reviewed and the association within the categorized diagnosis accuracy was analysed using the ICD-10 classification. The sample size was 180 cases and cases was divided into two main categories. The factors associated with the unmatched diagnosis from both, patients and provider were then measured using multiple logistic regressions. Results: Hospital USM Emergency department had 84.4 percent of matched diagnosis with 15.56 percent of unmatched diagnosis. The odds of having unmatched diagnosis in patients from green zone are 4.2 times higher compared to the red zone. Conclusions: Hospital USM Emergency department had high diagnostic accuracy as compared to the unmatched diagnosis. 2018 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/46574/1/Dr.%20Mohd%20Syafwan%20Adnan-24%20pages.pdf Adnan, Mohd Syafwan (2018) A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Adnan, Mohd Syafwan
A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
description Background: The accuracy of Emergency Department (ED) doctors in making a provisional diagnosis is crucial as it has direct impact on the patient treatment, safety, length of stay and cost of treatment. The study of the accuracy of the provisional diagnosis made by ED to compare with the discharge diagnosis is scarce in its availability and most results vary with different continents. This study was conducted to evaluate the accuracy of the diagnosis made by ED doctors in Hospital Universiti Sains Malaysia (HUSM) and the factors contributed to the discrepancy. Methods: This was a retrospective cross-sectional study in which medical records of patient admitted to hospital USM within Mei 2016 until December 2017 were selected using simple random sampling methods. The folders were then reviewed and the association within the categorized diagnosis accuracy was analysed using the ICD-10 classification. The sample size was 180 cases and cases was divided into two main categories. The factors associated with the unmatched diagnosis from both, patients and provider were then measured using multiple logistic regressions. Results: Hospital USM Emergency department had 84.4 percent of matched diagnosis with 15.56 percent of unmatched diagnosis. The odds of having unmatched diagnosis in patients from green zone are 4.2 times higher compared to the red zone. Conclusions: Hospital USM Emergency department had high diagnostic accuracy as compared to the unmatched diagnosis.
format Thesis
author Adnan, Mohd Syafwan
author_facet Adnan, Mohd Syafwan
author_sort Adnan, Mohd Syafwan
title A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
title_short A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
title_full A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
title_fullStr A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
title_full_unstemmed A study of diagnosis discrepancy between admission and discharge in Hospital Universiti Sains Malaysia
title_sort study of diagnosis discrepancy between admission and discharge in hospital universiti sains malaysia
publishDate 2018
url http://eprints.usm.my/46574/1/Dr.%20Mohd%20Syafwan%20Adnan-24%20pages.pdf
http://eprints.usm.my/46574/
_version_ 1671340443665694720