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

Detalhes bibliográficos
Autor(a) principal: Vera Alonso
Data de Publicação: 2020
Outros Autores: João Vasco Santos, Marta Pinto, Joana Ferreira, Isabel Lema, Fernando Lopes, Alberto Freitas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/10216/129049
Resumo: 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.
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spelling Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptionsBackground: 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.20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/129049eng1833-358310.1177/1833358319826351Vera AlonsoJoão Vasco SantosMarta PintoJoana FerreiraIsabel LemaFernando LopesAlberto Freitasinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T18:23:15Zoai:repositorio-aberto.up.pt:10216/129049Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:47:00.241268Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
title Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
spellingShingle Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
Vera Alonso
title_short Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
title_full Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
title_fullStr Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
title_full_unstemmed Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
title_sort Health records as the basis of clinical coding: is the quality adequate?: a qualitative study of medical coders' perceptions
author Vera Alonso
author_facet Vera Alonso
João Vasco Santos
Marta Pinto
Joana Ferreira
Isabel Lema
Fernando Lopes
Alberto Freitas
author_role author
author2 João Vasco Santos
Marta Pinto
Joana Ferreira
Isabel Lema
Fernando Lopes
Alberto Freitas
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vera Alonso
João Vasco Santos
Marta Pinto
Joana Ferreira
Isabel Lema
Fernando Lopes
Alberto Freitas
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
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10.1177/1833358319826351
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