Evidence map›Paper›PMID 33050996›Full record

ArticleDeutsches Arzteblatt international2020

Challenges in the Transition from In-Patient to Out-Patient Treatment in Depression.

Hauke Felix Wiegand, Joachim Saam, Ursula Marschall, Andrea Chmitorz, Levente Kriston, Mathias Berger, Klaus Lieb, Lars P Hölzel

Open access · greenAbstract read
In one paragraph

Article in Deutsches Arzteblatt international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Review
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  12. Review
  13. Article
  14. The State of Care for Persons With a Diagnosis of Depression.Deutsches Arzteblatt international · 2022
    Article
  15. Article
  16. In Reply.Deutsches Arzteblatt international · 2021
    Article
  17. Alarming Figures for Severe and Moderate-to-Severe Depression.Deutsches Arzteblatt international · 2021
    Article
  18. Breaking Down Barriers in Outpatient Treatment.Deutsches Arzteblatt international · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Hauke Felix WiegandDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Joachim SaamDepartment of Medicine and Health Services Research, BARMER Statutory Health Insurance Fund, Wuppertal, Germany.
Ursula MarschallDepartment of Medicine and Health Services Research, BARMER Statutory Health Insurance Fund, Wuppertal, Germany.
Andrea ChmitorzFaculty of Social Work, Health and Nursing Sciences, Esslingen University of Applied Sciences, Esslingen, Germany.
Levente KristonDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mathias BergerDepartment of Psychiatry and Psychotherapy, University Hospital Freiburg, Freiburg, Germany.
Klaus LiebDepartment of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Lars P HölzelOberberg Parkklinik Wiesbaden Schlangenbad, Wiesbaden, Germany.
Johannes Gutenberg University Mainz · DENational Association of Statutory Health Insurance Physicians · DEEsslingen University of Applied Sciences · DEUniversität Hamburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew data are available on the characteristics of inpatient treatment and subsequent outpatient treatment for depression in Germany. In this study, we aimed to characterize the inpatient and outpatient treatment phases, to determine the rates of readmission and mortality, and to identify risk factors.

methodsWe carried out a descriptive statistical analysis of routine administrative data from a large health-insurance carrier (BARMER). All insurees aged 18 to 65 who were treated in 2015 as inpatients on a psychiatry and psychotherapy service or on a psychosomatic medicine and psychotherapy service with a main diagnosis of depression were included in the analysis. Risk factors for readmission and death were determined with the aid of mixed logistic regression.

resultsOf the 22 893 patients whose data were analyzed, 78% had been hospitalized on a psychiatry and psychotherapy service and 22% on a psychosomatic medicine and psychotherapy service. The median length of hospital stay was 42 days. Follow-up care in the outpatient setting failed to conform with the recommendations of the pertinent guidelines in 92% of the patients with a main diagnosis of severe depression during hospitalization, and in 50% of those with moderate depression. 21% of the patients were readmitted within a year. The mortality at one year was 961 per 100 000 individuals (adjusted for the age and sex structure of the German population), or 3.4 times the mortality of the population at large. In the regression model, more treatment units during hospitalization and subsequent treatment with psychotherapy were associated with a lower probability of readmission, while longer hospitalization with subsequent pharmacotherapy or psychotherapy was associated with lower mortality.

conclusionThe recommendations of the national (German) S3 guidelines for the further care of patients who have been hospitalized for depression are inadequately implemented at present in the sectored structures of in- and outpatient care in the German health care system. This patient group has marked excess mortality.

Indexed as

DepressionOutpatientsPatient DischargeAdolescentAdultAgedGermanyHospitalizationHumansLength of StayMaleMiddle AgedPatient ReadmissionYoung Adult

Identifiers

PMID33050996
PMCPMC7575898
OpenAlexW3037401015

What OpenQuestion holds

Textmetadata
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.