Evidence map›Paper›PMID 25024767›Full record

ArticleApplied clinical informatics2014

A proposal for an Austrian Nursing Minimum Data Set (NMDS): a Delphi study.

R Ranegger, W O Hackl, E Ammenwerth

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

R RaneggerSteiermärkische Krankenanstaltengesellschaft m.b.H., Management / Pflege , Austria.
W O HacklInstitute of Health Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology , Hall in Tirol, Austria.
E AmmenwerthInstitute of Health Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology , Hall in Tirol, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNursing Minimum Data Sets can be used to compare nursing care across clinical populations, settings, geographical areas, and time. NMDS can support nursing research, nursing management, and nursing politics. However, in contrast to other countries, Austria does not have a unified NMDS. The objective of this study is to identify possible data elements for an Austrian NMDS.

methodsA two-round Delphi survey was conducted, based on a review of available NMDS, 22 expert interviews, and a focus group discussion.

resultsAfter reaching consensus, the experts proposed the following 56 data elements for an NMDS: six data elements concerning patient demographics, four data elements concerning data of the healthcare institution, four data elements concerning patient's medical condition, 20 data elements concerning patient problems (nursing assessment, nursing diagnoses, risk assessment), eight data elements concerning nursing outcomes, 14 data elements concerning nursing interventions, and no additional data elements concerning nursing intensity.

conclusionThe proposed NMDS focuses on the long-term and acute care setting. It must now be implemented and tested in the nursing practice.

Indexed as

Delphi TechniqueAustriaDemographyExpert TestimonyFocus GroupsHumansNursingNursing AssessmentOutcome Assessment, Health CareResource AllocationAustriahealth statisticsminimal data setnursing informaticsNursing minimum data set

Identifiers

PMID25024767
PMCPMC4081754

What OpenQuestion holds

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Registered trials

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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.