Evidence map›Paper›PMID 29776348›Full record

ArticleBMC psychiatry2018

The influence of cross-sectoral treatment models on patients with mental disorders in Germany: study protocol of a nationwide long-term evaluation study (EVA64).

Anne Neumann, Enno Swart, Dennis Häckl, Roman Kliemt, Stefanie March, Denise Küster, Katrin Arnold, Thomas Petzold, Fabian Baum, Martin Seifert and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. 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 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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.

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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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 2 institutions in 1 country.

Anne NeumannCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany. Anne.Neumann@uniklinikum-dresden.de.ORCID 0000-0003-0796-7575
Enno SwartInstitute of Social Medicine and Health Economics, Medical Faculty, Otto-von-Guericke- University Magdeburg, Magdeburg, Germany.
Dennis HäcklWIG2 Scientific Institute for Health Economics and Health System Research Leipzig, Leipzig, Germany.
Roman KliemtWIG2 Scientific Institute for Health Economics and Health System Research Leipzig, Leipzig, Germany.
Stefanie MarchInstitute of Social Medicine and Health Economics, Medical Faculty, Otto-von-Guericke- University Magdeburg, Magdeburg, Germany.
Denise KüsterCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Katrin ArnoldCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Thomas PetzoldCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Fabian BaumCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Martin SeifertCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Jessika WeißClinic for Child and Adolescence Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.
Andrea PfennigDepartment of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.
Jochen SchmittCenter of Evidence-based Health Care, Medizinische Fakultät Carl Gustav Carus, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
University Hospital Carl Gustav Carus · DEOtto-von-Guericke-Universität Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClose, continuous and efficient collaboration between different professions and sectors of care is necessary to provide patient-centered care for individuals with mental disorders. The lack of structured collaboration between in- and outpatient care constitutes a limitation of the German health care system. Since 2012, a new law in Germany (§64b Social code book (SGB) V) has enabled the establishment of cross-sectoral and patient-centered treatment models in psychiatry. Such model projects follow a capitation budget, i.e. a total per patient budget of inpatient and outpatient care in psychiatric clinics. Providers are able to choose the treatment form and adapt the treatment to the needs of the patients. The present study (EVA64) will investigate the effectiveness, costs and efficiency of almost all model projects established in Germany between 2013 and 2016. METHODS/

designA health insurance data-based controlled cohort study is used. Data from up to 89 statutory health insurance (SHI) funds, i.e. 79% of all SHI funds in Germany (May 2017), on inpatient and outpatient care, pharmaceutical and non-pharmaceutical treatments and sick leave for a period of 7 years will be analyzed. All patients insured by any of the participating SHI funds and treated in one of the model hospitals for any of 16 pre-defined mental disorders will be compared with patients in routine care. Sick leave (primary outcome), utilization of inpatient care (primary outcome), utilization of outpatient care, continuity of contacts in (psychiatric) care, physician and hospital hopping, re-admission rate, comorbidity, mortality, disease progression, and guideline adherence will be analyzed. Cost and effectivity of model and routine care will be estimated using cost-effectiveness analyses. Up to 10 control hospitals for each of the 18 model hospitals will be selected according to a pre-defined algorithm. DISCUSSION: The evaluation of complex interventions is an important main task of health services research and constitutes the basis of evidence-guided advancement in health care. The study will yield important new evidence to guide the future provision of routine care for mentally ill patients in Germany and possibly beyond.

trial registrationThis study was registered in the database "Health Services Research Germany" (trial number: VVfD_EVA64_15_003713 ).

Indexed as

Intersectoral CollaborationAdultBudgetsCohort StudiesComorbidityCost-Benefit AnalysisDatabases, FactualEvaluation Studies as TopicFemaleGermanyGuideline AdherenceHealth Services ResearchHospitalizationHumansInsurance, HealthLongitudinal StudiesClaims dataEffectiveness and cost-effectivenessHealth care systemHealth services researchInpatient and outpatient treatmentPsychiatric health careRoutine dataSetting approachStatutory health insurance

Identifiers

PMID29776348
PMCPMC5960179
OpenAlexW2805349001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.