What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia

Detalhes bibliográficos
Autor(a) principal: Oliveira, João
Data de Publicação: 2022
Outros Autores: Ramos, Sandra F., Cruz, Manuel B., Novais, Isabel, Magalhães, Carlos, Santos, Marisa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733
Resumo: Introduction: Ambulatory surgery has proven benefits in patient wellbeing and cost reduction in healthcare systems. However, some patients referred for ambulatory surgery are refused and directed instead towards inpatient care, which generates several drawbacks. The reasons for this refusal have not been yet studied. The aim of this study is to identify, retrospectively, significant variables associated with patient refusal for ambulatory surgery and develop a mathematical tool able to predict with strong accuracy those who will be rejected.Material and Methods: Over a 5-year period (2014 - 2018), all patients that underwent abdominal hernia repair in our hospital in an inpatient setting, and that had been previously refused for ambulatory surgery, were analysed for a total of 94 variables. A multivariate logistic regression model was developed to identify risk factors associated with refusal using data from 136 patients (65 refused vs 71 accepted). A prediction index for refusal in ambulatory surgery - IRAS - was derived and tested (n = 62 patients).Results: The risk index included five significant risk factors: type 2 diabetes mellitus [OR 14.669 (2.982; 72.154)], physical status [OR 49.155 (15.532; 155.555)], prior malignancy [OR 14.518 (2.653; 79.441)], prior abdominal surgery [OR 3.455 (1.006; 11.866)] and usage of antiplatelet agents [OR 25.600 (4.309; 152.066)]. All risk factors were associated with a high risk of refusal (OR between 3.455 for history of prior abdominal surgery and 49.155 according to the American Society of Anaesthesiologists physical status classification). Defining five points as the maximum IRAS score that predicts suitability for ambulatory surgery resulted in a positive predictive value of 93.55% and negative predictive value of 87.10%.Conclusion: IRAS is a useful tool that can contribute to reduce time to surgery and improve patients’ quality of life.
id RCAP_65696c7bf18fb0dbf5beb90c314deaa4
oai_identifier_str oai:ojs.www.actamedicaportuguesa.com:article/15733
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall HerniaO que Leva à Recusa de um Doente Para Cirurgia de Ambulatório? Um Modelo Preditivo de Regressão Logística Baseado numa Análise Retrospetiva de Cinco Anos de Doentes com Hérnia da Parede AbdominalAmbulatory Surgical ProceduresLogistic ModelPatient SelectionModelos LogísticosProcedimentos Cirúrgicos AmbulatóriosSelecção de DoentesIntroduction: Ambulatory surgery has proven benefits in patient wellbeing and cost reduction in healthcare systems. However, some patients referred for ambulatory surgery are refused and directed instead towards inpatient care, which generates several drawbacks. The reasons for this refusal have not been yet studied. The aim of this study is to identify, retrospectively, significant variables associated with patient refusal for ambulatory surgery and develop a mathematical tool able to predict with strong accuracy those who will be rejected.Material and Methods: Over a 5-year period (2014 - 2018), all patients that underwent abdominal hernia repair in our hospital in an inpatient setting, and that had been previously refused for ambulatory surgery, were analysed for a total of 94 variables. A multivariate logistic regression model was developed to identify risk factors associated with refusal using data from 136 patients (65 refused vs 71 accepted). A prediction index for refusal in ambulatory surgery - IRAS - was derived and tested (n = 62 patients).Results: The risk index included five significant risk factors: type 2 diabetes mellitus [OR 14.669 (2.982; 72.154)], physical status [OR 49.155 (15.532; 155.555)], prior malignancy [OR 14.518 (2.653; 79.441)], prior abdominal surgery [OR 3.455 (1.006; 11.866)] and usage of antiplatelet agents [OR 25.600 (4.309; 152.066)]. All risk factors were associated with a high risk of refusal (OR between 3.455 for history of prior abdominal surgery and 49.155 according to the American Society of Anaesthesiologists physical status classification). Defining five points as the maximum IRAS score that predicts suitability for ambulatory surgery resulted in a positive predictive value of 93.55% and negative predictive value of 87.10%.Conclusion: IRAS is a useful tool that can contribute to reduce time to surgery and improve patients’ quality of life.Introdução: A cirurgia de ambulatório tem benefícios comprovados no bem-estar dos doentes e na redução de custos dos sistemas de saúde. Porém, alguns doentes referenciados para cirurgia de ambulatório são recusados e encaminhados para internamento. Os motivos desta recusa ainda não foram estudados. Neste trabalho identificámos, retrospectivamente, variáveis significativas na recusa dos doentes e fornecemos uma ferramenta matemática capaz de prever de forma precisa aqueles que serão rejeitados.Material e Métodos: Ao longo de cinco anos (2014 - 2018), todos os doentes submetidos a correção cirúrgica de hérnia abdominal em regime de internamento no nosso centro hospitalar previamente recusados para cirurgia de ambulatório foram analisados para um total de 94 variáveis. Um modelo de regressão logística multivariada foi desenvolvido para identificar os fatores de risco para recusa usando dados de 136 doentes (65 recusados vs 71 aceites). Um índice preditivo para recusa de cirurgia em ambulatório, IRAS, foi criado e testado (n = 62 doentes).Resultados: O IRAS incluiu cinco fatores de risco significativos: diabetes mellitus tipo 2 [OR 14,669 (2,982; 72,154)], estado físico [OR 49,155 (15,532; 155,555)], neoplasia maligna prévia [OR 14,518 (2,653; 79,441)], cirurgia abdominal prévia [OR 3,455 (1,006; 11,866)] e uso de agentes antiplaquetários [OR 25,600 (4,309; 152,066)]. Todos os fatores de risco foram associados a elevado risco de recusa (OR entre 3,455 para história de cirurgia abdominal prévia e 49,155 de acordo com a classificação do estado físico segundo a American Society of Anaesthesiologists). A definição de cinco pontos como a pontuação máxima do IRAS que prevê adequação para cirurgia de ambulatório resultou num valor preditivo positivo de 93,55% e um valor preditivo negativo de 87,10%.Conclusão: O índice IRAS é uma ferramenta útil que pode contribuir para a redução dos tempos de espera e melhorar a qualidade de vida dos doentes.Ordem dos Médicos2022-03-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733oai:ojs.www.actamedicaportuguesa.com:article/15733Acta Médica Portuguesa; Vol. 35 No. 3 (2022): March; 184-191Acta Médica Portuguesa; Vol. 35 N.º 3 (2022): Março; 184-1911646-07580870-399Xreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733/6396https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733/6397Direitos de Autor (c) 2021 Acta Médica Portuguesainfo:eu-repo/semantics/openAccessOliveira, JoãoRamos, Sandra F.Cruz, Manuel B.Novais, IsabelMagalhães, CarlosSantos, Marisa2022-12-20T11:07:37Zoai:ojs.www.actamedicaportuguesa.com:article/15733Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:20:40.413035Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
O que Leva à Recusa de um Doente Para Cirurgia de Ambulatório? Um Modelo Preditivo de Regressão Logística Baseado numa Análise Retrospetiva de Cinco Anos de Doentes com Hérnia da Parede Abdominal
title What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
spellingShingle What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
Oliveira, João
Ambulatory Surgical Procedures
Logistic Model
Patient Selection
Modelos Logísticos
Procedimentos Cirúrgicos Ambulatórios
Selecção de Doentes
title_short What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
title_full What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
title_fullStr What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
title_full_unstemmed What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
title_sort What Leads to a Patient Refusal for Ambulatory Surgery? A Logistic Regression Prediction Model Based on a 5-year Retrospective Analysis of Patients with Abdominal Wall Hernia
author Oliveira, João
author_facet Oliveira, João
Ramos, Sandra F.
Cruz, Manuel B.
Novais, Isabel
Magalhães, Carlos
Santos, Marisa
author_role author
author2 Ramos, Sandra F.
Cruz, Manuel B.
Novais, Isabel
Magalhães, Carlos
Santos, Marisa
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, João
Ramos, Sandra F.
Cruz, Manuel B.
Novais, Isabel
Magalhães, Carlos
Santos, Marisa
dc.subject.por.fl_str_mv Ambulatory Surgical Procedures
Logistic Model
Patient Selection
Modelos Logísticos
Procedimentos Cirúrgicos Ambulatórios
Selecção de Doentes
topic Ambulatory Surgical Procedures
Logistic Model
Patient Selection
Modelos Logísticos
Procedimentos Cirúrgicos Ambulatórios
Selecção de Doentes
description Introduction: Ambulatory surgery has proven benefits in patient wellbeing and cost reduction in healthcare systems. However, some patients referred for ambulatory surgery are refused and directed instead towards inpatient care, which generates several drawbacks. The reasons for this refusal have not been yet studied. The aim of this study is to identify, retrospectively, significant variables associated with patient refusal for ambulatory surgery and develop a mathematical tool able to predict with strong accuracy those who will be rejected.Material and Methods: Over a 5-year period (2014 - 2018), all patients that underwent abdominal hernia repair in our hospital in an inpatient setting, and that had been previously refused for ambulatory surgery, were analysed for a total of 94 variables. A multivariate logistic regression model was developed to identify risk factors associated with refusal using data from 136 patients (65 refused vs 71 accepted). A prediction index for refusal in ambulatory surgery - IRAS - was derived and tested (n = 62 patients).Results: The risk index included five significant risk factors: type 2 diabetes mellitus [OR 14.669 (2.982; 72.154)], physical status [OR 49.155 (15.532; 155.555)], prior malignancy [OR 14.518 (2.653; 79.441)], prior abdominal surgery [OR 3.455 (1.006; 11.866)] and usage of antiplatelet agents [OR 25.600 (4.309; 152.066)]. All risk factors were associated with a high risk of refusal (OR between 3.455 for history of prior abdominal surgery and 49.155 according to the American Society of Anaesthesiologists physical status classification). Defining five points as the maximum IRAS score that predicts suitability for ambulatory surgery resulted in a positive predictive value of 93.55% and negative predictive value of 87.10%.Conclusion: IRAS is a useful tool that can contribute to reduce time to surgery and improve patients’ quality of life.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733
oai:ojs.www.actamedicaportuguesa.com:article/15733
url https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733
identifier_str_mv oai:ojs.www.actamedicaportuguesa.com:article/15733
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733
https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733/6396
https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/15733/6397
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2021 Acta Médica Portuguesa
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos de Autor (c) 2021 Acta Médica Portuguesa
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Ordem dos Médicos
publisher.none.fl_str_mv Ordem dos Médicos
dc.source.none.fl_str_mv Acta Médica Portuguesa; Vol. 35 No. 3 (2022): March; 184-191
Acta Médica Portuguesa; Vol. 35 N.º 3 (2022): Março; 184-191
1646-0758
0870-399X
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799130655048597504