Evidence map›Paper›PMID 38528537›Full record

ArticleBMC nursing2024

Study protocol for the development, trial, and evaluation of a strategy for the implementation of qualification-oriented work organization in nursing homes.

Corinna Burfeindt, Ingrid Darmann-Finck, Carina Stammann, Constance Stegbauer, Claudia Stolle-Wahl, Matthias Zündel, Heinz Rothgang

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Use of the adult social care outcomes toolkit (ASCOT) in research studies: an international scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  3. Article
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

7 authors.

Corinna BurfeindtSOCIUM Research Center On Inequality and Social Policy Mary-Somerville-Straße 3, University of Bremen, 28359, Bremen, Germany. c.burfeindt@uni-bremen.de.
Ingrid Darmann-FinckHigh-Profile Area of Health Sciences, University of Bremen, Bibliothekstraße 1, 28359, Bremen, Germany.
Carina StammannDepartment of Evaluation and Implementation Research, aQua Institute for Applied Quality Improvement and Research in Health Care GmbH, Maschmühlenweg 8-10, 37073, Göttingen, Germany.
Constance StegbauerDepartment of Evaluation and Implementation Research, aQua Institute for Applied Quality Improvement and Research in Health Care GmbH, Maschmühlenweg 8-10, 37073, Göttingen, Germany.
Claudia Stolle-WahlCentre for Nursing Research and Counselling, Hochschule Bremen City University of Applied Sciences, Am Brill 2-4, 28195, Bremen, Germany.
Matthias ZündelCentre for Nursing Research and Counselling, Hochschule Bremen City University of Applied Sciences, Am Brill 2-4, 28195, Bremen, Germany.
Heinz RothgangSOCIUM Research Center On Inequality and Social Policy Mary-Somerville-Straße 3, University of Bremen, 28359, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaffing ratios in nursing homes vary among the federal states of Germany, but there are no rational grounds for these variations. In a previous study, a new instrument for the standardized calculation of staffing requirements in nursing homes was developed (Algorithm 1.0). The development was based on a new empirical data collection method that derives actual and target values for the time and number of care interventions provided. Algorithm 1.0 found an increased requirement of 36% of staff in German nursing homes. Based on these results, the German legislature has commissioned a model program to trial and evaluate a complex intervention comprising increased staffing combined with strategies for organizational development.

methodsThe mixed-methods study consists of (i) developing a concept for restructuring the work organization, (ii) the application of this concept combined with increased staffing in 10 nursing homes (complex intervention), and the further development of the concept using a participatory and iterative formal evaluation process. The intervention consists of (a) quantitative measures of increased staffing based on a calculation using Algorithm 1.0 and (b) qualitative measures regarding organizational development. The intervention will be conducted over one year. The effects of the intervention on job satisfaction and quality of care will be evaluated in (iii) a comprehensive prospective, controlled summative evaluation. The results will be compared with ten matched nursing homes as a control group. Finally, (iv) prototypical concepts for qualification-oriented work organization, a strategy for the national rollout, and the further development of Algorithm 1.0 into Algorithm 2.0 will be derived. DISCUSSION: In Germany, there is an ongoing dynamic legislation process regarding further developing the long-term care sector. The study, which is the subject of the study protocol presented here, generates an evidence-based strategy for the staffing requirements for nursing homes. ETHICS AND DISSEMINATION: This study was approved by the Ethics Committee of the German Association of Nursing Science (Deutsche Gesellschaft für Pflegewissenschaft) on 02.08.2023 (amended on 20.09.2023). Research findings are disseminated through presentations at national and international conferences and publications in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: German Clinical Trails Register DRKS00031773 (Date of registration 09.11.2023).

Indexed as

EvaluationLong-term careLong-term care facilitiesLong-term care systems researchNursing homesOrganizational developmentStaffing ratiosWork organization in long-term care facilities

Identifiers

PMID38528537
PMCPMC10964608

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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.