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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.
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.
Afiliación
  • Gómez-Salgado J; Department of Sociology, Social Work and Public Health, Universidad de Huelva, 21007 Huelva, Spain. salgado@uhu.es.
  • Bernabeu-Wittel M; Safety and Health Posgrade Programme, Universidad Espíritu Santo, Guayaquil 092301, Ecuador. salgado@uhu.es.
  • Aguilera-González C; Department of Internal Medicine, Virgen del Rocío University Hospital, University of Seville, 41013 Seville, Spain. wittel@cica.es.
  • Goicoechea-Salazar JA; Department of Internal Medicine, Virgen del Rocío University Hospital, University of Seville, 41013 Seville, Spain. mcaguilerag@gmail.com.
  • Larrocha D; Healthcare Product Service, Andalusian Health Service, 41071 Seville, Spain. jantonio.goicoechea@juntadeandalucia.es.
  • Nieto-Martín MD; Healthcare Product Service, Andalusian Health Service, 41071 Seville, Spain. Daniel.larrocha.sspa@juntadeandalucia.es.
  • Moreno-Gaviño L; Department of Internal Medicine, Virgen del Rocío University Hospital, University of Seville, 41013 Seville, Spain. lonietoma@gmail.com.
  • Ollero-Baturone M; Department of Internal Medicine, Virgen del Rocío University Hospital, University of Seville, 41013 Seville, Spain. morenogavinol@gmail.com.
J Clin Med ; 8(5)2019 May 06.
Article en En | MEDLINE | ID: mdl-31064157
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2019 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza