Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Tamara G R Macieira; Tania C M Chianca; Madison B Smith; Yingwei Yao; Jiang Bian; Diana J Wilkie; Karen Dunn Lopez; Gail M Keenan

doi:10.1093/jamia/ocz086

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Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Journal article

Open access

Peer reviewed

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review

Tamara G R Macieira, Tania C M Chianca, Madison B Smith, Yingwei Yao, Jiang Bian, Diana J Wilkie, Karen Dunn Lopez and Gail M Keenan

Journal of the American Medical Informatics Association : JAMIA, Vol.26(11), pp.1401-1411

11/01/2019

DOI: 10.1093/jamia/ocz086

PMCID: PMC6798576

PMID: 31188439

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Abstract

The study sought to present the findings of a systematic review of studies involving secondary analyses of data coded with standardized nursing terminologies (SNTs) retrieved from electronic health records (EHRs). We identified studies that performed secondary analysis of SNT-coded nursing EHR data from PubMed, CINAHL, and Google Scholar. We screened 2570 unique records and identified 44 articles of interest. We extracted research questions, nursing terminologies, sample characteristics, variables, and statistical techniques used from these articles. An adapted STROBE (Strengthening The Reporting of OBservational Studies in Epidemiology) Statement checklist for observational studies was used for reproducibility assessment. Forty-four articles were identified. Their study foci were grouped into 3 categories: (1) potential uses of SNT-coded nursing data or challenges associated with this type of data (feasibility of standardizing nursing data), (2) analysis of SNT-coded nursing data to describe the characteristics of nursing care (characterization of nursing care), and (3) analysis of SNT-coded nursing data to understand the impact or effectiveness of nursing care (impact of nursing care). The analytical techniques varied including bivariate analysis, data mining, and predictive modeling. SNT-coded nursing data extracted from EHRs is useful in characterizing nursing practice and offers the potential for demonstrating its impact on patient outcomes. Our study provides evidence of the value of SNT-coded nursing data in EHRs. Future studies are needed to identify additional useful methods of analyzing SNT-coded nursing data and to combine nursing data with other data elements in EHRs to fully characterize the patient's health care experience.

Electronic Health Records

Information Storage and Retrieval - methods

Nursing Informatics - methods

Nursing Process

Nursing Records

Nursing Research - methods

Standardized Nursing Terminology

Details

Title: Subtitle: Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review
Creators: Tamara G R Macieira - University of Florida
Tania C M Chianca - Universidade Federal de Minas Gerais
Madison B Smith - University of Florida
Yingwei Yao - University of Florida
Jiang Bian - Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
Diana J Wilkie - University of Florida
Karen Dunn Lopez - University of Illinois Chicago
Gail M Keenan - University of Florida
Resource Type: Journal article
Publication Details: Journal of the American Medical Informatics Association : JAMIA, Vol.26(11), pp.1401-1411
DOI: 10.1093/jamia/ocz086
PMID: 31188439
PMCID: PMC6798576
NLM abbreviation: J Am Med Inform Assoc
ISSN: 1067-5027
eISSN: 1527-974X
Grant note: P30 AG028740 / NIA NIH HHS R01 NR012949 / NINR NIH HHS UL1 TR001427 / NCATS NIH HHS
Language: English
Date published: 11/01/2019
Academic Unit: Nursing
Record Identifier: 9984370640702771

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