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Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index.
Naik, Shanoja; Voong, Stephanie; Bamford, Megan; Smith, Kyle; Joyce, Angela; Grinspun, Doris.
Afiliação
  • Naik S; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
  • Voong S; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
  • Bamford M; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
  • Smith K; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
  • Joyce A; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
  • Grinspun D; International Affairs and Best Practice Guidelines Centre, Registered Nurses' Association of Ontario, Toronto, Ontario, Canada.
J Am Med Inform Assoc ; 27(5): 776-782, 2020 05 01.
Article em En | MEDLINE | ID: mdl-32364233
ABSTRACT
A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses' Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Indicadores de Qualidade em Assistência à Saúde / Confiabilidade dos Dados / Processo de Enfermagem Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Indicadores de Qualidade em Assistência à Saúde / Confiabilidade dos Dados / Processo de Enfermagem Idioma: En Ano de publicação: 2020 Tipo de documento: Article