Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders’ perceptions

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Vera Alonso (Autor) Outra; João Vasco Santos (Autor) Outra; Marta Pinto (Autor) FPCEUP; Joana Ferreira (Autor) Outra; Isabel Lema (Autor) Outra; Fernando Lopes (Autor) Outra; Alberto Freitas (Autor) FMUP

Revista

Título: Health Information Management Journal

Vol. 49 Nº 1

Páginas: 28-37

ISSN: 1833-3583

Editora: SAGE

Indexação

ISI Web of Knowledge - 46 Citações

Scopus - 52 Citações

Outras Informações

ID Authenticus: P-00Q-8EK

DOI: 10.1177/1833358319826351

Abstract (EN): Background: Health records are the basis of clinical coding. In Portugal, relevant diagnoses and procedures are abstracted and categorised using an internationally accepted classification system and the resulting codes, together with the administrative data, are then grouped into diagnosis-related groups (DRGs). Hospital reimbursement is partially calculated from the DRGs. Moreover, the administrative database generated with these data is widely used in research and epidemiology, among other purposes. Objective: To explore the perceptions of medical coders (medical doctors) regarding possible problems with health records that may affect the quality of coded data. Method: A qualitative design using four focus groups sessions with 10 medical coders was undertaken between October and November 2017. The convenience sample was obtained from four public hospitals in Portugal. Questions related to problems with the coding process were developed from the literature and authors' expertise. The focus groups sessions were taped, transcribed and analysed to elicit themes. Results: There are several problems, identified by the focus groups, in health records that influence the coded data: the lack of or unclear documented information; the variability in diagnosis description; "copy & paste"; and the lack of solutions to solve these problems.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10