Evidence map›Paper›PMID 35158386›Full record

ArticleDeutsche medizinische Wochenschrift (1946)2022

[Loss of information in cross-sectoral treatment: causes and solutions].

Christoph Straub, Daniela Teichert, Karl Blum, Daniel Grandt

Open access · hybridAbstract read
In one paragraph

Article in Deutsche medizinische Wochenschrift (1946), 2022. 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
2.6field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Christoph Straub
Daniela Teichert
Karl Blum
Daniel Grandt
Krankenhaus Köln-Holweide · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Missing information on patients and their medication is a leading cause of medication errors and preventable harm. The TOP Projects uses pharmacy claim data and electronic decision support to improve quality and safety of care on hospital admission. In a survey 100 % of responding hospitals in Germany consider this approach helpful and important to improve availability of necessary information and medication safety and to reduce workload.

Indexed as

HospitalsMedication ErrorsGermanyHospitalizationHumansWorkload

Identifiers

PMID35158386
PMCPMC8882424
OpenAlexW4213053323

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.