Evidence map›Paper›PMID 32333050›Full record

ReviewDer Nervenarzt2020

[Core aspects of a needs-conform care of patients with multiple sclerosis : Utilization of outpatient services and shared decision making].

A K Kraft, K Berger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

2 authors.

A K KraftInstitut für Epidemiologie und Sozialmedizin, Universität Münster, Albert-Schweitzer-Campus 1, Gebäude D3, 48149, Münster, Deutschland. k.kraft@uni-muenster.de.
K BergerInstitut für Epidemiologie und Sozialmedizin, Universität Münster, Albert-Schweitzer-Campus 1, Gebäude D3, 48149, Münster, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the necessity for lifelong treatment, high costs for the healthcare system and changes in role expectations of patients towards physicians, multiple sclerosis (MS) is an important topic in healthcare research.

objectiveThe aim of this review is to provide an overview of the current study situation in Germany in 2020 on utilization of outpatient medical resources and shared decision making in patients with MS. MATERIAL AND

methodsFor this review a literature search was carried out in PubMed and other extended sources in order to identify and present relevant publications.

resultsThere are only a few studies on the utilization of outpatient medical resources by patients with MS in Germany. The highest values for utilization were found for general practitioners, family physicians and neurologists whereas urologists were less frequently involved. The values for the utilization of services provided by physiotherapists greatly differed between the studies. Several studies using different approaches to shared decision making in Germany were identified and summarized. An important prerequisite for shared decision making is an adequate knowledge on the side of the patients.

conclusionDifferences in the utilization of outpatient resources by MS patients in Germany can be explained by methodological differences and limitations of the individual studies. The use of shared decision making by MS patients is demanded by various parties but so far there is little evidence for a positive effect on the disease.

Indexed as

Decision Making, SharedMultiple SclerosisPhysiciansAmbulatory CareGermanyHumansPatient ParticipationEvidenceHealthservices researchPatient educationRisk awarenessShared decision making

Identifiers

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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.