Evidence map›Paper›PMID 41773669›Full record

ArticleJMIR medical informatics2026

Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review.

Pascal Müller, Annabell Gangnus, Katrin Gayen, Uta Kirchner-Heklau, Patrick Jahn, Sebastian Hofstetter

Abstract readScoping Review
In one paragraph

Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pascal MüllerHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0009-0008-3706-6181
Annabell GangnusHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0009-0004-9628-1472
Katrin GayenHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0009-0000-7855-4650
Uta Kirchner-HeklauHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0000-0002-4593-4128
Patrick JahnHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0000-0002-1533-6717
Sebastian HofstetterHealth Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.ORCID 0000-0003-3110-2379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nursing care systems face significant challenges due to demographic changes, a workforce shortage, and rising demand for care services. Digital assistive technologies offer potential to address these challenges, but systematic and standardized nursing data are essential to evaluate both innovations and broader care processes. The Nursing Minimum Data Set (NMDS) provides a foundational framework for capturing structured information on nursing care, yet there is no international consensus on its core content, development, and practical use. Objective: This scoping review aims to map current international literature regarding (1) the core content elements of NMDS, (2) methodological approaches used in NMDS development, and (3) implementation and use of NMDS in different nursing settings. Methods: Following the JBI (Joanna Briggs Institute) methodology and Arksey and O'Malley framework, a systematic search was conducted on July 2, 2025, in the MEDLINE (via PubMed) and CINAHL (via EBSCO) databases using the term "nursing minimum data set." Inclusion was restricted to studies in English or German focusing on the content, development, or implementation of the NMDS. The research team reviewed studies in an independent and double-blinded fashion for eligibility based on predefined criteria, with discrepancies resolved by consensus. Eligible studies were narratively summarized, with extraction structured into categories based on the review's research questions. Results: From 1908 initially identified articles, 26 (1.4%) studies met the inclusion criteria. Considerable heterogeneity was found in the structure and scope of the NMDS, with datasets comprising 16 to 145 items. Despite variation, 4 central domains consistently emerged: patient demographics, medical care information, nursing care elements, and institutional or organizational data. NMDS development typically followed a participatory, multistage approach involving literature analysis, stakeholder consensus building, and validation through pretesting and real-world application. Implementation and use of the NMDS serve multiple functions, including documenting nursing care processes, supporting workload measurement and resource planning, quality assurance, benchmarking, and demonstrating nursing's contribution to patient outcomes. However, successful implementation depends on technical, legal, organizational, and educational strategies. Core challenges include a lack of standardized terminology, inconsistent legal frameworks, and varying levels of staff training and acceptance. Conclusions: The NMDS provides a robust basis for standardized nursing documentation, quality assurance, and health system planning, but international variability and ongoing challenges in harmonization, integration, and acceptability persist. Advancing the NMDS requires collaborative efforts for interoperability, investment in digital infrastructure, and targeted education. Further research should focus on comparative effectiveness, cross-context validation, and strategies to reduce documentation burden while maximizing data utility.

Indexed as

Datasets as TopicNursing ResearchHumanscore nursing data elementsdigital healthhealth information systemsnursing documentationnursing informaticsNursing Minimum Data Setstandardized nursing data

Identifiers

PMID41773669
PMCPMC12954689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.