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

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 identifica...

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Autores principales: Gómez-Salgado, Juan, Bernabeu-Wittel, Máximo, Aguilera-González, Carmen, Goicoechea-Salazar, Juan Antonio, Larrocha, Daniel, Nieto-Martín, María Dolores, Moreno-Gaviño, Lourdes, Ollero-Baturone, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572229/
https://www.ncbi.nlm.nih.gov/pubmed/31064157
http://dx.doi.org/10.3390/jcm8050613
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author Gómez-Salgado, Juan
Bernabeu-Wittel, Máximo
Aguilera-González, Carmen
Goicoechea-Salazar, Juan Antonio
Larrocha, Daniel
Nieto-Martín, María Dolores
Moreno-Gaviño, Lourdes
Ollero-Baturone, Manuel
author_facet Gómez-Salgado, Juan
Bernabeu-Wittel, Máximo
Aguilera-González, Carmen
Goicoechea-Salazar, Juan Antonio
Larrocha, Daniel
Nieto-Martín, María Dolores
Moreno-Gaviño, Lourdes
Ollero-Baturone, Manuel
author_sort Gómez-Salgado, Juan
collection PubMed
description 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.
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spelling pubmed-65722292019-06-18 Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes Gómez-Salgado, Juan Bernabeu-Wittel, Máximo Aguilera-González, Carmen Goicoechea-Salazar, Juan Antonio Larrocha, Daniel Nieto-Martín, María Dolores Moreno-Gaviño, Lourdes Ollero-Baturone, Manuel J Clin Med Article 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. MDPI 2019-05-06 /pmc/articles/PMC6572229/ /pubmed/31064157 http://dx.doi.org/10.3390/jcm8050613 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gómez-Salgado, Juan
Bernabeu-Wittel, Máximo
Aguilera-González, Carmen
Goicoechea-Salazar, Juan Antonio
Larrocha, Daniel
Nieto-Martín, María Dolores
Moreno-Gaviño, Lourdes
Ollero-Baturone, Manuel
Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title_full Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title_fullStr Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title_full_unstemmed Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title_short Concordance between the Clinical Definition of Polypathological Patient versus Automated Detection by Means of Combined Identification through ICD-9-CM Codes
title_sort concordance between the clinical definition of polypathological patient versus automated detection by means of combined identification through icd-9-cm codes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572229/
https://www.ncbi.nlm.nih.gov/pubmed/31064157
http://dx.doi.org/10.3390/jcm8050613
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