Effectiveness of nursing management information systems: A systematic review

Mona Choi, You Lee Yang, Sun Mi Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Objectives: The purpose of this study was to review evaluation studies of nursing management information systems (NMISs) and their outcome measures to examine system effectiveness. Methods: For the systematic review, a literature search of the PubMed, CINAHL, Embase, and Cochrane Library databases was conducted to retrieve original articles published between 1970 and 2014. Medical Subject Headings (MeSH) terms included informatics, medical informatics, nursing informatics, medical informatics application, and management information systems for information systems and evaluation studies and nursing evaluation research for evaluation research. Additionally, manag* and admin*, and nurs* were combined. Title, abstract, and full-text reviews were completed by two reviewers. And then, year, author, type of management system, study purpose, study design, data source, system users, study subjects, and outcomes were extracted from the selected articles. The quality and risk of bias of the studies that were finally selected were assessed with the Risk of Bias Assessment Tool for Non-randomized Studies (RoBANS) criteria. Results: Out of the 2,257 retrieved articles, a total of six articles were selected. These included two scheduling programs, two nursing cost-related programs, and two patient care management programs. For the outcome measurements, usefulness, time saving, satisfaction, cost, attitude, usability, data quality/completeness/accuracy, and personnel work patterns were included. User satisfaction, time saving, and usefulness mostly showed positive findings. Conclusions: The study results suggest that NMISs were effective in time saving and useful in nursing care. Because there was a lack of quality in the reviewed studies, well-designed research, such as randomized controlled trials, should be conducted to more objectively evaluate the effectiveness of NMISs.

Original languageEnglish
Pages (from-to)249-257
Number of pages9
JournalHealthcare Informatics Research
Volume20
Issue number4
DOIs
Publication statusPublished - 2014 Oct 20

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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