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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 11, 2024
Date Accepted: Jul 30, 2025

The final, peer-reviewed published version of this preprint can be found here:

Nursing Minimum Datasets in Long-Term Care Settings: Scoping Review

Milkov S, Linders L, Napetschnig A, Deiters W, Sirsch E, Holle D

Nursing Minimum Datasets in Long-Term Care Settings: Scoping Review

J Med Internet Res 2025;27:e68670

DOI: 10.2196/68670

PMID: 41089026

PMCID: 12521810

Nursing Minimum Data Sets in Long-Term Care Settings: A Scoping Review

  • Sarah Milkov; 
  • Lara Linders; 
  • Alina Napetschnig; 
  • Wolfgang Deiters; 
  • Erika Sirsch; 
  • Daniela Holle

ABSTRACT

Background:

Structured and standardized data collection is needed in the care sector to drive nursing research, facilitate the comparison of practice-based data, and maximize the potential of technical innovations and digitalization. This can be supported through nursing minimum data sets (NMDSs).

Objective:

The aim of this scoping review is to present the state of research on NMDSs in long-term care settings.

Methods:

Articles published up to September 2024 in the PubMed, CINAHL, Embase or Digital Bibliography & Library Project (DBLP) databases that address NMDSs in long-term care were included. The selected sources were screened and evaluated in a double review process.

Results:

Thirty-five articles covering nine NMDS projects or initiatives were included. The articles reflect NMDS content as well as recommendations for practice, research and management.

Conclusions:

NMDSs are poorly implemented in long-term care outside the United States. New initiatives are emerging, e.g., in Germany and the UK, but existing NMDSs prioritize patient data over nursing data. A critical review of NMDS development is needed.


 Citation

Please cite as:

Milkov S, Linders L, Napetschnig A, Deiters W, Sirsch E, Holle D

Nursing Minimum Datasets in Long-Term Care Settings: Scoping Review

J Med Internet Res 2025;27:e68670

DOI: 10.2196/68670

PMID: 41089026

PMCID: 12521810

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