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Fall Risk Assessment Through a Self-Service Terminal in the Outpatient Setting.
Simón, Mariana; Giraldo, Liliana; Sommer, Janine; Colussi, Giuliana; Perrino, Julián; Staccia, Gustavo; Schachner, Bibiana; Plazzotta, Fernando; Luna, Daniel.
Afiliação
  • Simón M; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Giraldo L; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Sommer J; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Colussi G; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Perrino J; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Staccia G; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Schachner B; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Plazzotta F; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
  • Luna D; Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
Stud Health Technol Inform ; 264: 1352-1355, 2019 Aug 21.
Article em En | MEDLINE | ID: mdl-31438146
ABSTRACT
Health organizations aim to identify patients with high fall risk in the different attention scenarios in order to provide safety and quality care. In order to address this issue, we designed an assessment tool that surveys fall risk through three questions in self-service terminals in the outpatient setting. Our objectives in this article are to describe the implementation process. A cross sectional design was used for the pilot (between October and November 2018). The issued tickets rate with high fall risk (defined as 2/3 positive responses) was 34.3%. Some adjustments needed to be done because some patients did not have true risk criteria due to self-report. We conclude that this tool will allow quicker identification of patients with true high risk. Effective prevention strategies will be necessary to improve safety after risk fall identification.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes Ambulatoriais / Acidentes por Quedas Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes Ambulatoriais / Acidentes por Quedas Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina