Impact of standardized nursing terminologies on patient and organizational outcomes: A systematic review and meta-analysis.

meta-analysis nurses nursing diagnosis nursing process outcomes standardized nursing terminology systematic review

Journal

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
ISSN: 1547-5069
Titre abrégé: J Nurs Scholarsh
Pays: United States
ID NLM: 100911591

Informations de publication

Date de publication:
11 2023
Historique:
revised: 12 02 2023
received: 26 07 2022
accepted: 01 03 2023
medline: 3 11 2023
pubmed: 25 3 2023
entrez: 24 3 2023
Statut: ppublish

Résumé

To explore the impact of 12 American Nurses Association recognized standardized nursing terminologies (SNTs) on patient and organizational outcomes. Previous studies reported an effect of SNTs on outcomes, but no previous frameworks nor meta-analyses were found. Systematic review and meta-analyses. PubMed, Scopus, CINAHL, and OpenGrey databases were last consulted in July 2021. All abstracts and full texts were screened independently by two researchers. The review included primary quantitative studies that reported an association between recognized SNTs and outcomes. Two reviewers independently assessed the risk of bias and certainty of evidence for each meta-analyzed outcome using the "Grading of Recommendations, Assessment, Development and Evaluation" (GRADE) approach. Fifty-three reports were included. NANDA-NIC-NOC and Omaha System were the most frequently reported SNTs used in the studies. Risk of bias in randomized controlled trials and not-randomized controlled trials ranged from high to unclear, this risk was low in cross-sectional studies. The number of nursing diagnoses NANDA-I moderately correlated with the intensive care unit length of stay (r = 0.38; 95% CI = 0.31-0.44). Using the Omaha System nurse-led transitional care program showed a large increase in both knowledge (d = 1.21; 95% CI = 0.97-1.44) and self-efficacy (d = 1.23; 95% CI = 0.97-1.48), while a reduction on the readmission rate (OR = 0.46; 95% CI = 0.09-0.83). Nursing diagnoses were found to be useful predictors for organizational (length of stay) and patients' outcomes (mortality, quality of life). The GRADE indicated that the certainty of evidence was rated from very low to low. Studies using SNTs demonstrated significant improvement and prediction power in several patients' and organizational outcomes. Further high-quality research is required to increase the certainty of evidence of these relationships. SNTs should be considered by healthcare policymakers to improve nursing care and as essential reporting data about patient's nursing complexity to guide reimbursement criteria.

Sections du résumé

AIMS
To explore the impact of 12 American Nurses Association recognized standardized nursing terminologies (SNTs) on patient and organizational outcomes.
BACKGROUND
Previous studies reported an effect of SNTs on outcomes, but no previous frameworks nor meta-analyses were found.
DESIGN
Systematic review and meta-analyses.
REVIEW METHODS
PubMed, Scopus, CINAHL, and OpenGrey databases were last consulted in July 2021. All abstracts and full texts were screened independently by two researchers. The review included primary quantitative studies that reported an association between recognized SNTs and outcomes. Two reviewers independently assessed the risk of bias and certainty of evidence for each meta-analyzed outcome using the "Grading of Recommendations, Assessment, Development and Evaluation" (GRADE) approach.
RESULTS
Fifty-three reports were included. NANDA-NIC-NOC and Omaha System were the most frequently reported SNTs used in the studies. Risk of bias in randomized controlled trials and not-randomized controlled trials ranged from high to unclear, this risk was low in cross-sectional studies. The number of nursing diagnoses NANDA-I moderately correlated with the intensive care unit length of stay (r = 0.38; 95% CI = 0.31-0.44). Using the Omaha System nurse-led transitional care program showed a large increase in both knowledge (d = 1.21; 95% CI = 0.97-1.44) and self-efficacy (d = 1.23; 95% CI = 0.97-1.48), while a reduction on the readmission rate (OR = 0.46; 95% CI = 0.09-0.83). Nursing diagnoses were found to be useful predictors for organizational (length of stay) and patients' outcomes (mortality, quality of life). The GRADE indicated that the certainty of evidence was rated from very low to low.
CONCLUSIONS
Studies using SNTs demonstrated significant improvement and prediction power in several patients' and organizational outcomes. Further high-quality research is required to increase the certainty of evidence of these relationships.
CLINICAL RELEVANCE
SNTs should be considered by healthcare policymakers to improve nursing care and as essential reporting data about patient's nursing complexity to guide reimbursement criteria.

Identifiants

pubmed: 36959705
doi: 10.1111/jnu.12894
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1126-1153

Informations de copyright

© 2023 The Authors. Journal of Nursing Scholarship published by Wiley Periodicals LLC on behalf of Sigma Theta Tau International.

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Auteurs

Luca Bertocchi (L)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
The Marjory Gordon Program for Clinical Reasoning and Knowledge Development, William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA.

Angelo Dante (A)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Carmen La Cerra (C)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Vittorio Masotta (V)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Alessia Marcotullio (A)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Dorothy Jones (D)

The Marjory Gordon Program for Clinical Reasoning and Knowledge Development, William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts, USA.

Cristina Petrucci (C)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

Loreto Lancia (L)

Department of Health, Life, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

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