Evidence map›Paper›PMID 16794880›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2006

[Optimizing the nursing process by new management instruments. The Northern Germany Nursing Research Network].

S Görres, K Reif, H Biedermann, C Borchert, M Habermann, S Köpcke, G Meyer, H Rothgang

Abstract readEnglish Abstract
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In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

8 authors.

S GörresUniversität Bremen, FB 11, Institut für Public Health und Pflegeforschung IPP Abt. 3: Interdisziplinäre Alterns- und Pflegeforschung, Pflegeforschungsverbund Nord-Geschäftsstelle, Grazer Str. 6, 28359 Bremen, Germany. sgoerres@uni-bremen.de
K Reif
H Biedermann
C Borchert
M Habermann
S Köpcke
G Meyer
H Rothgang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Northern Germany Nursing Research Network (Pflegeforschungsverbund Nord) has dedicated itself to developing management instruments intended to optimize the nursing process. It is coordinated by the administrative office of the Institute of Public Health and Nursing Research (Institut für Public Health und Pflegeforschung IPP, director: Prof. Dr. Stefan Görres), Department of "Interdisziplinäre Alterns- und Pflegeforschung", University of Bremen. Four partial projects are currently being worked on in two groups: Group A--"Deficient areas of nursing action": The projects belonging to this group are "Individual care-patterns of elderly people and their determinants" (University of Bremen) and "Mobility Restrictions in Nursing Homes-Multicentre Observational Study (MORIN)" (University of Hamburg). The purpose of these studies is to examine the relevance of quantitatively significant risk combinations from a nursing science perspective. Group B--"The generation and testing of nursing action management instruments": The projects in this area are "Nursing rounds as instruments of quality assurance in home-based care" (University of Applied Sciences, Bremen) and "Predicting the risk of falls, efficiency of standard scales in opposition to nursing assessment-Cluster-Randomised Controlled Trial (PROFESSION)" (University of Hamburg). These studies concentrate in a unique manner on the generation and testing of management/control instruments suitable for application to nursing action.

Indexed as

Societies, NursingActivities of Daily LivingAgedClinical Nursing ResearchDisability EvaluationGeriatric NursingGermanyHumansNursing AssessmentNursing CareQuality Assurance, Health Care

Identifiers

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.