A comprehensive picture of using standardized nursing languages in long‐term care systems: An integrative review

Author:

Giap Thi‐Thanh‐Tinh12,Park Myonghwa2,Bui Linh Khanh3

Affiliation:

1. College of Health Sciences VinUniversity Hanoi Vietnam

2. College of Nursing Chungnam National University Daejeon South Korea

3. College of Nursing and Midwifery Griffith University Brisbane Australia

Abstract

AbstractPurposeThis integrative review was conducted to provide a comprehensive picture of the use of standardized nursing languages (SNLs) in long‐term care (LTC) systems.MethodsA comprehensive search was performed with terminological variants of “standardized terminology” and “long‐term care” in eight electronic databases up to December 2021. Eligible studies were further identified by screening the reference lists of publications that met the inclusion criteria. The quality of the included studies was appraised using the Joanna Briggs Institute checklists. The study findings were organized into themes, which represent the focus of the study.FindingsEighty‐one publications that studied 12 SNLs in 17 countries are presented in this review. The Omaha System, NANDA‐I, NIC, and NOC were the most common SNLs. Study foci were classified into five themes: evaluating the applicability of 10 SNLs (n = 22), characterizing nursing care using six SNLs (n = 16), developing core sets and tools based on seven SNLs (n = 15), documenting nursing care by using four SNLs (n = 14), and implementing intervention programs based on six SNLs (n = 14).Conclusions and implications for nursingSNLs can be used for various purposes, and the available evidence supports the expansion of their utilization. Further studies should continue to identify gaps in the existing versions of SNLs to reflect the LTC nursing process in multiple societies. Additionally, the successful use of SNLs requires background knowledge of nursing informatics; therefore, preparation should be started in the nursing curriculum and continued in healthcare facilities, including LTC settings. These research findings will assist healthcare managers, researchers, and policymakers in the LTC field in effectively utilizing SNLs.

Publisher

Wiley

Reference35 articles.

1. Development of terminology subsets using ICNP®

2. Long-term care spending and hospital use among the older population in England

3. Use of standardized terminologies in clinical practice: A scoping review

4. A comprehensive picture of implementing standardized languages in long‐term care: A systematic review;Giap T. T. T.;PROSPERO,2021

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