Evidence map›Paper›PMID 23494246›Full record

ArticleDer Nervenarzt2013

[Developmental process of DGPPN quality indicators].

I Großimlinghaus, P Falkai, W Gaebel, B Janssen, D Reich-Erkelenz, T Wobrock, J Zielasek

Registry-linked trialAbstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Nervenarzt, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05181982 (Wissenschaftliche Evaluation Des Modellvorhabens), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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.

NCT05181982 recruitingnot on this mapstarted 2022, after this paper: background citation

Wissenschaftliche Evaluation Des Modellvorhabens (§ 64b SGB V) am Pfalzklinikum (EVA_Pfalz)

TypeobservationalSponsorTechnische Universität DresdenRan2022 to 2026Enrolled10,000ConditionsMental Health CareArmsFIT contract with global treatment budget
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Identifying primary care quality indicators for people with serious mental illness: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2017
    Pooled it
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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.

I GroßimlinghausKlinik und Poliklinik für Psychiatrie und Psychotherapie, LVR-Klinikum Düsseldorf, Medizinische Fakultät, Heinrich-Heine-Universität, Bergische Landstr. 2, 40629 Düsseldorf, Deutschland. Isabell.Grossimlinghaus@lvr.de
P Falkai
W Gaebel
B Janssen
D Reich-Erkelenz
T Wobrock
J Zielasek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValid and feasible quality indicators can measure healthcare quality and show potential for improvement in care. The German Association for Psychiatry and Psychotherapy (DGPPN) has developed trans-sectoral quality indicator sets for four mental disorders with high prevalence (alcohol dependence, dementia, depression and schizophrenia). MATERIAL AND

methodThe DGPPN followed a structured multistage process and used guideline recommendations and the results of systematic evidence searches as the basis for the development of these quality indicators. This was followed by a structured consensus process for all quality indicators.

resultsFour evidence and consensus-based, diagnosis-specific and trans-sectoral quality indicator sets have been developed.

conclusionIt is possible to develop quality indicators on the basis of guideline recommendations. The implementation of the DGPPN quality indicators will play a crucial role in order to evaluate their utility and feasibility as quality measures for German mental healthcare.

Indexed as

Practice Guidelines as TopicGermanyHumansMental DisordersNeurologyPsychiatryPsychotherapy

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Registered trials

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.