Evidence map›Paper›PMID 34859616›Full record

ArticleNursing open2022

The detection and prevention of adverse drug events in nursing home and home care patients: Study protocol of a quasi-experimental study.

Benedikt Langenberger, Natalie Baier, Frank-Christian Hanke, Jacqueline Fahrentholz, Christina Gorny, Stephanie Sehlen, Katrin Christiane Reber, Sebastian Liersch, Ralf Radomski, Jens Haftenberger and 3 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 14% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. [Focusing on intersectorality-strategies and current research projects for the care of geriatric people].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  4. 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

13 authors at 5 institutions in 1 country.

Benedikt LangenbergerDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0002-0825-0464
Natalie BaierDepartment of Global Health Economics, Kiel Institute for the World Economy, Kiel, Germany.
Frank-Christian HankeGeneral Management, Gero PharmCare GmbH, Köln, Germany.
Jacqueline FahrentholzLong-term Care Services Management, AOK Nordost - Die Gesundheitskasse, Potsdam, Germany.
Christina GornyLong-term Care Services Management, AOK Nordost - Die Gesundheitskasse, Potsdam, Germany.
Stephanie SehlenHealth Services Management, AOK Nordost - Die Gesundheitskasse, Potsdam, Germany.
Katrin Christiane ReberHealth Services Management, AOK Nordost - Die Gesundheitskasse, Potsdam, Germany.
Sebastian LierschHealth Services Management, AOK Nordost - Die Gesundheitskasse, Potsdam, Germany.
Ralf RadomskiDepartment of Innovative Health Services, VIACTIV Krankenkasse, Bochum, Germany.
Jens HaftenbergerDepartment of Contract Management, IKK Brandenburg und Berlin, Potsdam, Germany.
Hans Jürgen HeppnerDepartment of Geriatrics, Universität Witten/Herdecke, Witten, Germany.
Reinhard BusseDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.
Verena VogtDepartment of Health Care Management, Technische Universität Berlin, Berlin, Germany.
Technische Universität Berlin · DEKiel Institute for the World Economy · DETechniker Krankenkasse (Germany) · DEUniversity of Applied Sciences Potsdam · DEWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo estimate the cost-effectiveness of an intervention facilitating the early detection of adverse drug events through the means of health professional training and the application of a digital screening tool.

designMulti-centred non-randomized controlled trial from August 2018 to March 2020 including 65 nursing homes or home care providers.

methodsWe aim to estimate the effect of the intervention on the rate of adverse drug events as primary outcome through a quasi-experimental empirical study design. As secondary outcomes, we use hospital admissions and falls. All outcomes will be measured on patient-month level. Once the causal effect of the intervention is estimated, cost-effectiveness will be calculated. For cost-effectiveness, we include all patient costs observed by the German statutory health insurance.

resultsThe results of this study will inform about the cost-effectiveness of the optimized drug supply intervention and provide evidence for potential reimbursement within the German statutory health insurance system.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHome Care ServicesCost-Benefit AnalysisHumansNon-Randomized Controlled Trials as TopicNursing HomesQuality of Lifeadverse drug eventshome care interventionhospital admissionsnursing home interventionquasi-experimental study design

Identifiers

PMID34859616
PMCPMC8859083
OpenAlexW3216655097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.