Analysis of the agreement on fall records between electronic health records and notifications: cohort study
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/10773 |
Resumo: | Objective: To analyze the agreement on fall records between patient progress data in electronic health records and notifications by the Incident Reporting System. Method: Retrospective cohort study conducted at a public hospital in Porto Alegre, Rio Grande do Sul, Brazil. The sample consisted of 367 patients, 441 self-reported notifications and 441 patient progress notes. Data were collected from the online annotation system WebAnno between September and December 2018. A collection instrument was developed. Data analysis was performed through descriptive statistics. Data were analyzed using the Statistical Package for the Social Sciences, SPSS Inc., Chicago, version 17.0 for Windows. Results: Among the patients, 316 had one fall and 51 had two falls or more. The study included 441 fall notifications. Of these, 43.9% were not recorded in the electronic medical records on the day of their occurrence. Regarding the record of risk assessment for falls, only three (0.7%) progress notes contained it. More complete records were identified in the notifications as compared to the electronic health records. The results related to fall location, recorded in all notifications and in 13.8% of the progress notes, and damage degree, recorded in all notifications and in only 1.6% of the progress notes, are noteworthy. Conclusion: A gap of records for falls in electronic health records was identified. The results point to an aspect of extreme relevance in terms of communication via patients’ electronic health records, which can directly influence the planning and implementation of effective care. |
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Analysis of the agreement on fall records between electronic health records and notifications: cohort study Análisis del acuerdo entre pronuncio electrónico y notificaciones en el registro de caidas: estudio de cohorteAnálise da concordância entre prontuário eletrônico e notificações no registro de quedas: estudo de coorteSeguridad del pacienteRegistros Electrónicos de SaludAccidentes por caídasComunicaciónGestión de riesgos.Segurança do PacienteRegistros Eletrônicos em SaúdeAcidentes por QuedasComunicaçãoGestão de riscos.Patient SafetyElectronic Health RecordsAccidental FallsCommunicationRisk management.Objective: To analyze the agreement on fall records between patient progress data in electronic health records and notifications by the Incident Reporting System. Method: Retrospective cohort study conducted at a public hospital in Porto Alegre, Rio Grande do Sul, Brazil. The sample consisted of 367 patients, 441 self-reported notifications and 441 patient progress notes. Data were collected from the online annotation system WebAnno between September and December 2018. A collection instrument was developed. Data analysis was performed through descriptive statistics. Data were analyzed using the Statistical Package for the Social Sciences, SPSS Inc., Chicago, version 17.0 for Windows. Results: Among the patients, 316 had one fall and 51 had two falls or more. The study included 441 fall notifications. Of these, 43.9% were not recorded in the electronic medical records on the day of their occurrence. Regarding the record of risk assessment for falls, only three (0.7%) progress notes contained it. More complete records were identified in the notifications as compared to the electronic health records. The results related to fall location, recorded in all notifications and in 13.8% of the progress notes, and damage degree, recorded in all notifications and in only 1.6% of the progress notes, are noteworthy. Conclusion: A gap of records for falls in electronic health records was identified. The results point to an aspect of extreme relevance in terms of communication via patients’ electronic health records, which can directly influence the planning and implementation of effective care.Objetivo: Analizar la concordancia entre las evoluciones diarias en las historias clínicas electrónicas de los pacientes y las notificaciones en el Sistema de Notificación Computarizado en el registro de caídas. Método: estudio de cohorte retrospectivo realizado en un hospital público de Porto Alegre, en Rio Grande do Sul, Brasil. Este estudio comprendió 367 pacientes, 441 notificaciones voluntarias y 441 evoluciones. La recolección de datos se realizó en la herramienta de anotación en línea WebAnno, de septiembre a diciembre de 2018. Se desarrolló un instrumento para la recolección. El análisis de los datos se realizó mediante estadística descriptiva. Los datos se analizaron en el paquete estadístico para las ciencias sociales, SPSS Inc, versión 17.0 de Chicago para Windows. Resultados: Entre los pacientes, 316 tuvieron una caída y 51 tuvieron dos o más caídas. El estudio incluyó 441 informes de caídas. De estos, el 43,9% no estaban registrados en la historia clínica electrónica el día de su ocurrencia. En cuanto a la valoración del riesgo de caídas, solo tres (0,7%) evoluciones contenían el récord. Al analizar los registros en las notificaciones y en la historia clínica electrónica, se identificaron informes más completos en las notificaciones. Destacan las variables locales de la caída, registradas en todas las notificaciones y en el 13,8% de las evoluciones; grado de daño, registrado en todas las notificaciones y solo en el 1,6% de las evoluciones. Conclusión: Se identificó la brecha en los registros de caídas en la historia clínica. Los resultados apuntan a un aspecto de extrema relevancia en la cuestión de la comunicación a través de la historia clínica del paciente, que puede implicar directamente en la planificación e implementación de una atención eficaz.Objetivo: Analisar a concordância entre as evoluções diárias nos prontuários eletrônicos dos pacientes e as notificações no Sistema Informatizado de Notificação no registro de quedas. Método: Estudo retrospectivo do tipo coorte, realizado em um hospital público de Porto Alegre, no Rio Grande do Sul, Brasil. Compuseram este estudo 367 pacientes, 441 notificações voluntárias e 441 evoluções. A coleta de dados ocorreu na ferramenta de anotações online WebAnno, de setembro a dezembro de 2018. Foi desenvolvido um instrumento para a coleta. A análise dos dados ocorreu por meio de estatística descritiva. Os dados foram analisados no Statistical Package for the Social Sciences, SPSS Inc, Chicago versão 17.0 para Windows. Resultados: Entre os pacientes, 316 tiveram uma queda e 51 tiveram duas quedas ou mais. O estudo incluiu 441 notificações de quedas. Destas, 43,9% não foram registradas no prontuário eletrônico no dia da sua ocorrência. Em relação à avaliação do risco de quedas, apenas três (0,7%) evoluções continham o registro. Quando analisados os registros nas notificações e no prontuário eletrônico, foram identificados relatos mais completos nas notificações. Destacam-se as variáveis local da queda, registrada em todas as notificações e em 13,8% das evoluções; grau do dano, registrada em todas as notificações e em apenas 1,6% das evoluções. Conclusão: Identificou-se a lacuna de registros da queda no prontuário. Os resultados apontam para um aspecto de extrema relevância no quesito comunicação via prontuário do paciente, podendo implicar diretamente no planejamento e implementação do cuidado eficaz.Research, Society and Development2020-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1077310.33448/rsd-v9i12.10773Research, Society and Development; Vol. 9 No. 12; e5091210773Research, Society and Development; Vol. 9 Núm. 12; e5091210773Research, Society and Development; v. 9 n. 12; e50912107732525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/10773/10901Copyright (c) 2020 Maria Carolina Oliveira Maciel; Haline Maria Velho Burin; Amanda Pestana da Silva; Henrique Dias Pereira dos Santos; Renata Vieira; Janete de Souza Urbanettohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Maciel, Maria Carolina OliveiraBurin, Haline Maria Velho Silva, Amanda Pestana da Santos, Henrique Dias Pereira dosVieira, Renata Urbanetto, Janete de Souza 2020-12-30T23:32:22Zoai:ojs.pkp.sfu.ca:article/10773Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:32:45.919400Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study Análisis del acuerdo entre pronuncio electrónico y notificaciones en el registro de caidas: estudio de cohorte Análise da concordância entre prontuário eletrônico e notificações no registro de quedas: estudo de coorte |
title |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
spellingShingle |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study Maciel, Maria Carolina Oliveira Seguridad del paciente Registros Electrónicos de Salud Accidentes por caídas Comunicación Gestión de riesgos. Segurança do Paciente Registros Eletrônicos em Saúde Acidentes por Quedas Comunicação Gestão de riscos. Patient Safety Electronic Health Records Accidental Falls Communication Risk management. |
title_short |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
title_full |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
title_fullStr |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
title_full_unstemmed |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
title_sort |
Analysis of the agreement on fall records between electronic health records and notifications: cohort study |
author |
Maciel, Maria Carolina Oliveira |
author_facet |
Maciel, Maria Carolina Oliveira Burin, Haline Maria Velho Silva, Amanda Pestana da Santos, Henrique Dias Pereira dos Vieira, Renata Urbanetto, Janete de Souza |
author_role |
author |
author2 |
Burin, Haline Maria Velho Silva, Amanda Pestana da Santos, Henrique Dias Pereira dos Vieira, Renata Urbanetto, Janete de Souza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Maciel, Maria Carolina Oliveira Burin, Haline Maria Velho Silva, Amanda Pestana da Santos, Henrique Dias Pereira dos Vieira, Renata Urbanetto, Janete de Souza |
dc.subject.por.fl_str_mv |
Seguridad del paciente Registros Electrónicos de Salud Accidentes por caídas Comunicación Gestión de riesgos. Segurança do Paciente Registros Eletrônicos em Saúde Acidentes por Quedas Comunicação Gestão de riscos. Patient Safety Electronic Health Records Accidental Falls Communication Risk management. |
topic |
Seguridad del paciente Registros Electrónicos de Salud Accidentes por caídas Comunicación Gestión de riesgos. Segurança do Paciente Registros Eletrônicos em Saúde Acidentes por Quedas Comunicação Gestão de riscos. Patient Safety Electronic Health Records Accidental Falls Communication Risk management. |
description |
Objective: To analyze the agreement on fall records between patient progress data in electronic health records and notifications by the Incident Reporting System. Method: Retrospective cohort study conducted at a public hospital in Porto Alegre, Rio Grande do Sul, Brazil. The sample consisted of 367 patients, 441 self-reported notifications and 441 patient progress notes. Data were collected from the online annotation system WebAnno between September and December 2018. A collection instrument was developed. Data analysis was performed through descriptive statistics. Data were analyzed using the Statistical Package for the Social Sciences, SPSS Inc., Chicago, version 17.0 for Windows. Results: Among the patients, 316 had one fall and 51 had two falls or more. The study included 441 fall notifications. Of these, 43.9% were not recorded in the electronic medical records on the day of their occurrence. Regarding the record of risk assessment for falls, only three (0.7%) progress notes contained it. More complete records were identified in the notifications as compared to the electronic health records. The results related to fall location, recorded in all notifications and in 13.8% of the progress notes, and damage degree, recorded in all notifications and in only 1.6% of the progress notes, are noteworthy. Conclusion: A gap of records for falls in electronic health records was identified. The results point to an aspect of extreme relevance in terms of communication via patients’ electronic health records, which can directly influence the planning and implementation of effective care. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10773 10.33448/rsd-v9i12.10773 |
url |
https://rsdjournal.org/index.php/rsd/article/view/10773 |
identifier_str_mv |
10.33448/rsd-v9i12.10773 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10773/10901 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 12; e5091210773 Research, Society and Development; Vol. 9 Núm. 12; e5091210773 Research, Society and Development; v. 9 n. 12; e5091210773 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052743483916288 |