Literature DB >> 32364233

Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index.

Shanoja Naik1, Stephanie Voong1, Megan Bamford1, Kyle Smith1, Angela Joyce1, Doris Grinspun1.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  data quality assessment; data quality index; evidence-based nursing; framework; health service organization

Mesh:

Year:  2020        PMID: 32364233      PMCID: PMC7647324          DOI: 10.1093/jamia/ocaa031

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  8 in total

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Authors:  A Donabedian
Journal:  JAMA       Date:  1988 Sep 23-30       Impact factor: 56.272

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Authors:  Mark Smith; Lisa M Lix; Mahmoud Azimaee; Jennifer E Enns; Justine Orr; Say Hong; Leslie L Roos
Journal:  J Am Med Inform Assoc       Date:  2018-03-01       Impact factor: 4.497

3.  A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research.

Authors:  Michael G Kahn; Marsha A Raebel; Jason M Glanz; Karen Riedlinger; John F Steiner
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

Review 4.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Authors:  Nicole Gray Weiskopf; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

5.  Principled missing data methods for researchers.

Authors:  Yiran Dong; Chao-Ying Joanne Peng
Journal:  Springerplus       Date:  2013-05-14

6.  iCCM data quality: an approach to assessing iCCM reporting systems and data quality in 5 African countries.

Authors:  Lwendo Moonzwe Davis; Kirsten Zalisk; Samantha Herrera; Debra Prosnitz; Helen Coelho; Jennifer Yourkavitch
Journal:  J Glob Health       Date:  2019-06       Impact factor: 4.413

7.  Defining & assessing the quality, usability, and utilization of immunization data.

Authors:  Peter Bloland; Adam MacNeil
Journal:  BMC Public Health       Date:  2019-04-04       Impact factor: 3.295

Review 8.  A review of data quality assessment methods for public health information systems.

Authors:  Hong Chen; David Hailey; Ning Wang; Ping Yu
Journal:  Int J Environ Res Public Health       Date:  2014-05-14       Impact factor: 3.390

  8 in total
  3 in total

1.  Celebrating the International Year of the Nurse and Midwife: A look at nursing in JAMIA.

Authors:  Suzanne Bakken; Gregory Alexander
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

2.  Knowledge and insights from a maturing international clinical quality registry.

Authors:  Fanny Sampurno; Christoph Kowalski; Sarah E Connor; Anissa V Nguyen; Àngels Pont Acuña; Chi-Fai Ng; Claire Foster; Günter Feick; Olatz Garin Boronat; Sebastian Dieng; Silvana Brglevska; Stephanie Ferrante; Steven Leung; Paul Villanti; Caroline M Moore; Ian D Graham; Jeremy L Millar; Mark S Litwin; Nathan Papa
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

3.  The Usability of IT Systems in Document Management, Using the Example of the ADPIECare Dorothea Documentation and Nurse Support System.

Authors:  Dorota Kilańska; Agnieszka Ogonowska; Barbara Librowska; Maja Kusiak; Michał Marczak; Remigiusz Kozlowski
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  3 in total

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