| Unique ID issued by UMIN | UMIN000061133 |
|---|---|
| Receipt number | R000069952 |
| Scientific Title | Efficacy of Implementing Virtual Nursing in General Wards: A Systematic Review |
| Date of disclosure of the study information | 2026/04/02 |
| Last modified on | 2026/04/01 22:39:30 |
Efficacy of Implementing Virtual Nursing in General Wards: A Systematic Review
Efficacy of Implementing Virtual Nursing in General Wards: A Systematic Review
Efficacy of Implementing Virtual Nursing in General Wards: A Systematic Review
Efficacy of Implementing Virtual Nursing in General Wards: A Systematic Review
| Japan |
Patients admitted to general wards, and nurses
| Nursing |
Others
NO
To clarify whether the introduction of virtual nursing in general wards improves patient outcomes (decreased length of hospital stay, decreased ICU admission rate, decreased complication rate, increased patient satisfaction, decreased readmission rate, increased regular check-up rate, decreased waiting time, decreased mortality rate) and nurse outcomes.
Safety,Efficacy
Others
Not applicable
Patient outcomes (length of hospital stay, ICU admission rate, complication rate, patient satisfaction, readmission rate, regular check-up rate, waiting time, mortality rate, etc.)
Nurses' work efficiency (increased self-efficacy, decreased fatigue, decreased burnout rate, etc.)
Others,meta-analysis etc
| Not applicable |
| Not applicable |
Male and Female
RCTs, interventional studies, quasi-experimental studies, mixed-methods studies, and observational studies published in academic journals. Studies targeting patients admitted to general wards and providing nursing care utilizing virtual nursing. No language restrictions.
Letters to the editor, qualitative studies, editorials/commentaries, review articles, protocol papers, case reports, conference abstracts without full text, manuscripts published in non-academic journals, and books. Studies targeting units such as intensive care units and outpatient clinics.
| 1st name | Naoya |
| Middle name | |
| Last name | Hashimoto |
Hokkaido University of Science
Department of Nursing, Faculty of Health Sciences
006-8585
4-1, Maeda 7-jo 15-chome, Teine-ku, Sapporo, Hokkaido
011-688-2263
hashimoto-na@hus.ac.jp
| 1st name | Naoya |
| Middle name | |
| Last name | Hashimoto |
Hokkaido University of Science
Department of Nursing, Faculty of Health Sciences
006-8585
4-1, Maeda 7-jo 15-chome, Teine-ku, Sapporo, Hokkaido
011-688-2263
hashimoto-na@hus.ac.jp
Hokkaido University of Science
Naoya Hashimoto
Hokkaido University of Science
Self funding
Japan
Hokkaido University of Science
4-1, Maeda 7-jo 15-chome, Teine-ku, Sapporo, Hokkaido
011-681-2161
hashimoto-na@hus.ac.jp
NO
| 2026 | Year | 04 | Month | 02 | Day |
Unpublished
Preinitiation
| 2026 | Year | 04 | Month | 01 | Day |
| 2026 | Year | 04 | Month | 10 | Day |
| 2027 | Year | 03 | Month | 31 | Day |
Search methods: MEDLINE via PubMed, CINAHL, Web of Science, Cochrane Central, Ichushi-Web, and WHO ICTRP will be used, along with hand searching.
Screening and data extraction: Two researchers will independently conduct this using Rayyan. Disagreements will be resolved through discussion or by a third reviewer.
Risk of bias assessment: Two reviewers will independently assess this using the JBI critical appraisal tools.
Data synthesis and analysis: Extracted data will be compiled into a classification table. If meta-analysis is feasible, statistical heterogeneity (I2 statistic) and reporting bias (funnel plot, Egger's test) will be evaluated, and sensitivity analyses will be conducted.
| 2026 | Year | 04 | Month | 01 | Day |
| 2026 | Year | 04 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000069952