title: Asphyxia in the Newborn: Evaluating the Accuracy of ICD Coding, Clinical Diagnosis and Reimbursement: Observational Study at a Swiss Tertiary Care Center on Routinely Collected Health Data from 2012-2015.
abstract: BACKGROUND
  The ICD-10 categories of the diagnosis "perinatal asphyxia" are defined by clinical signs and a 1-minute Apgar score value. However, the modern conception is more complex and considers metabolic values related to the clinical state. A lack of consistency between the former clinical and the latter encoded diagnosis poses questions over the validity of the data. Our aim was to establish a refined classification which is able to distinctly separate cases according to clinical criteria and financial resource consumption. The hypothesis of the study is that outdated ICD-10 definitions result in differences between the encoded diagnosis asphyxia and the medical diagnosis referring to the clinical context.
  
  
  METHODS
  Routinely collected health data (encoding and financial data) of the University Hospital of Bern were used. The study population was chosen by selected ICD codes, the encoded and the clinical diagnosis were analyzed and each case was reevaluated. The new method categorizes the diagnoses of perinatal asphyxia into the following groups: mild, moderate and severe asphyxia, metabolic acidosis and normal clinical findings. The differences of total costs per case were determined by using one-way analysis of variance.
  
  
  RESULTS
  The study population included 622 cases (P20 "intrauterine hypoxia" 399, P21 "birth asphyxia" 233). By applying the new method, the diagnosis asphyxia could be ruled out with a high probability in 47% of cases and the variance of case related costs (one-way ANOVA: F (5, 616) = 55.84, p < 0.001, multiple R-squared = 0.312, p < 0.001) could be best explained. The classification of the severity of asphyxia could clearly be linked to the complexity of cases.
  
  
  CONCLUSIONS
  The refined coding method provides clearly defined diagnoses groups and has the strongest effect on the distribution of costs. It improves the diagnosis accuracy of perinatal asphyxia concerning clinical practice, research and reimbursement.
authors.affiliation: Medical Directorate, Inselspital, University Hospital of Bern, Bern, Switzerland.
authors.forename: Olga
authors.identifier: http://orcid.org/0000-0003-0839-9821
authors.initials: O
authors.lastname: Endrich
authors.affiliation: Student at the Faculty of Medicine, University of Bern, Bern, Switzerland.
authors.forename: Carole
authors.initials: C
authors.lastname: Rimle
authors.affiliation: Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
authors.forename: Marcel
authors.initials: M
authors.lastname: Zwahlen
authors.affiliation: Medical Directorate, Inselspital, University Hospital of Bern, Bern, Switzerland.
authors.forename: Karen
authors.initials: K
authors.lastname: Triep
authors.affiliation: Department of Obstetrics & Gynecology, University Hospital of Bern, Bern, Switzerland.
authors.forename: Luigi
authors.initials: L
authors.lastname: Raio
authors.affiliation: Neonatology Division, Inselspital, University Hospital of Bern, Bern, Switzerland.
authors.forename: Mathias
authors.initials: M
authors.lastname: Nelle
mesh_terms: D000138:Acidosis / Q000151:congenital / Q000175:diagnosis; D001034:Apgar Score; D001238:Asphyxia Neonatorum / Q000145:classification / Q000175:diagnosis* / Q000191:economics / Q000453:epidemiology; D003363:Cost Control; D003625:Data Collection; D003937:Diagnosis, Differential; D003951:Diagnostic Errors; D005260:Female; D005311:Fetal Hypoxia / Q000175:diagnosis* / Q000191:economics / Q000453:epidemiology; D017048:Health Care Costs / Q000706:statistics & numerical data; D006785:Hospitals, University / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D007231:Infant, Newborn; D038801:International Classification of Diseases; D008297:Male; D012051:Reimbursement Mechanisms; D012189:Retrospective Studies; D012720:Severity of Illness Index; D013557:Switzerland / Q000453:epidemiology; D062606:Tertiary Care Centers / Q000706:statistics & numerical data*