Authors Contributions
Design of the study protocol: M.S.
Writing HSR proposal: M.S., A.J., R.S.
Collecting data from Hospitals: M.S., A.J.
Analysis of data and statistical analysis: M.S., A.J, R.S.
Writing the manuscript: M.S. Revising the manuscript critically: M.S.,
A.J., R.S.
Adding relevant suggestions to improve the manuscript: M.S., A.J.,
R.S.
Agreement for all aspects of the work and approval of the final version
to be published: M.S., A.J., R.S.
ORCIDMohsen Soleimani https://orcid.org/0000-0002-5221-7573.
References
1. Croft P, Altman DG, Deeks JJ, et al. The science of clinical
practice: disease diagnosis or patient prognosis? Evidence about ”what
is likely to happen” should shape clinical practice. BMC Med.2015;13:20.
2. Heravi M, Setayeshi S. Intelligent and rapid diagnosis of heart
disease based on synchronous linear neural networks and logical
regression methods. Journal of Mazandaran University of Medical
Sciences. 1393;24(112 ).
3. Shrestha A, Zikos D, Fegaras L. Seasonality of Discrepancies between
Admission and Discharge Diagnosis for Medicare Patients.Technologies. 2018;6:111.
4. Beyranvand, MR, Kolahi, AA, Ghafelebashi SHR. CHARACTRISTICS AND
FINAL DIAGNOSIS OF PATIENTS WITH PRIMARY DIAGNOSIS OF ACUTE CORONARY
SYNDROME. Journal of Babol University Of Medical Sciences.2008;10(3):76-82.
5. Mihailovic N, Trajkovic G, Simic-Vukomanovic I, Ristic S, Kocic S.
Agreement between admission and discharge diagnoses: Analysis by the
groups of international classification of diseases, 10th revision.Vojnosanit Pregl. 2016;73(12):1125-1131.
6. karimi S, javadi M, jafarzadeh F. Burden of economic and health costs
of chronic diseases in Iran and worldwide. 2011.
7. Rashidi M, Ghias M, Ramesht MH. GEOGRAPHICAL EPIDEMIOLOGY OF DEATH
DUE TO CARDIOVASCULAR DISEASES IN ISFAHAN POVINCE, IRAN. JOURNAL
OF ISFAHAN MEDICAL SCHOOL (IUMS). 2011;29(125):13-19.
8.. Benjamin EJ, Muntner P, Alonso A, et al. Heart Disease and Stroke
Statistics-2019 Update: A Report From the American Heart Association.Circulation. 2019;139(10):e56-e528.
9. Austin PC, Daly PA, Tu JV. A multicenter study of the coding accuracy
of hospital discharge administrative data for patients admitted to
cardiac care units in Ontario. Am Heart J. 2002;144(2):290-296.
10. McGinn T, Wyer PC, Newman TB, Keitz S, Leipzig R, For GG. Tips for
learners of evidence-based medicine: 3. Measures of observer variability
(kappa statistic). Cmaj. 2004;171(11):1369-1373.
11. McNutt R, Johnson T, Kane J, Ackerman M, Odwazny R, Bardhan J. Cost
and quality implications of discrepancies between admitting and
discharge diagnoses. Qual Manag Health Care. 2012;21(4):220-227.
12. Juurlink D PC, Croxford R, Chong A, Austin P, Tu J, et al. Canadian
Institute for Health Information Discharge Abstract Database: A
Validation Study. Institute for Clinical Evaluative Sciences.2006.
13. Johnson T, McNutt R, Odwazny R, Patel D, Baker S. Discrepancy
between admission and discharge diagnoses as a predictor of hospital
length of stay. J Hosp Med. 2009;4(4):234-239.
14. Buckley CM, Kearney PM, Ali F, et al. Concordance studies between
hospital discharge data and medical records for the recording of lower
extremity amputation and diabetes in the Republic of Ireland. BMC
Res Notes. 2013;6:148.
15. Sardarizadeh H, Kabir A, Nodeh AA, Hoshang H. COMPARISON OF
RECEPTION WITH DISCHARGE DIAGNOSIS IN CHILDREN REFFERED TO ALI-ASGHAR
AND RAHNEMOON HOSPITALS IN 1995. Razi Journal of Medical
Sciences. 2003;10(33):45-52.
16. Shahsavari S, Nazari F, Karimyar Jahromi M, Sadeghi M. Epidemiologic
study of hospitalized cardiovascular patients in Jahrom hospitals in
2012- 2013. Cardiovascular Nursing Journal. 2013;2(2):14-21.
17. Chiu H, Chan K, Chung C, Ma K, Au K. A Comparison of Emergency
Department Admission Diagnoses and Discharge Diagnoses: Retrospective
Study. Hong Kong Journal of Emergency Medicine. 2003;10(2):70-75.