Next Article in Journal
Impact of Cumulative Corticosteroid Dosage on Preventable Hospitalization among Taiwanese Patients with Ankylosing Spondylitis and Inflammatory Bowel Disease
Previous Article in Journal
Stem Cells Inhibition by Bevacizumab in Combination with Neoadjuvant Chemotherapy for Breast Cancer
Article Menu

Export Article

Open AccessArticle

Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes

1
Department of Sociology, Social Work and Public Health, Universidad de Huelva, 21007 Huelva, Spain
2
Safety and Health Posgrade Programme, Universidad Espíritu Santo, Guayaquil 092301, Ecuador
3
Department of Internal Medicine, Virgen del Rocío University Hospital, University of Seville, 41013 Seville, Spain
4
Healthcare Product Service, Andalusian Health Service, 41071 Seville, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(5), 613; https://doi.org/10.3390/jcm8050613
Received: 5 April 2019 / Revised: 30 April 2019 / Accepted: 1 May 2019 / Published: 6 May 2019
(This article belongs to the Section Epidemiology & Public Health)
  |  
PDF [672 KB, uploaded 6 May 2019]
  |  

Abstract

It is unknown whether the digital application of automated ICD-9-CM codes recorded in the medical history are useful for a first screening in the detection of polypathological patients. In this study, the objective was to identify the degree of intra- and inter-observer concordance in the identification of in-patient polypathological patients between the standard clinical identification method and a new automatic method, using the basic minimum data set of ICD-9-CM codes in the digital medical history. For this, a cross-sectional multicenter study with 1518 administratively discharged patients from Andalusian hospitals during the period of 2013–2014 has been carried out. For the concordance between the clinical definition of a polypathological patient and the polypathological patient classification according to ICD-9-CM coding, a 0.661 kappa was obtained (95% confidence interval (CI); 0.622–0.701) with p < 0.0001. The intraclass correlation coefficient between both methods for the number of polypathological patient categories was 0.745 (95% CI; 0.721–0.768; p < 0.0001). The values of sensitivity, specificity, positive-, and negative predictive values of the automated detection using ICD-9-CM coding were 78%, 88%, 78%, and 88%, respectively. As conclusion, the automatic identification of polypathological patients by detecting ICD-9-CM codes is useful as a screening method for in-hospital patients. View Full-Text
Keywords: cost effectiveness; multiple chronic conditions; population health management; patient safety; multimorbidity; polypathological patient; ICD-9-CM cost effectiveness; multiple chronic conditions; population health management; patient safety; multimorbidity; polypathological patient; ICD-9-CM
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Gómez-Salgado, J.; Bernabeu-Wittel, M.; Aguilera-González, C.; Goicoechea-Salazar, J.A.; Larrocha, D.; Nieto-Martín, M.D.; Moreno-Gaviño, L.; Ollero-Baturone, M. Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes. J. Clin. Med. 2019, 8, 613.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Clin. Med. EISSN 2077-0383 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top