Evidence map›Paper›PMID 37784100›Full record

ReviewHealth research policy and systems2023

Utilization of innovative medical technologies in German inpatient care: does evidence matter?

Helene Eckhardt, Susanne Felgner, Marie Dreger, Sabine Fuchs, Hanna Ermann, Hendrikje Rödiger, Tanja Rombey, Reinhard Busse, Cornelia Henschke, Dimitra Panteli

Abstract readReview
In one paragraph

Review in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
  4. 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

10 authors.

Helene EckhardtDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany. helene.eckhardt@gmail.com.ORCID http://orcid.org/0000-0002-3921-428X
Susanne FelgnerDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Marie DregerDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Sabine FuchsDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Hanna ErmannDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Hendrikje RödigerDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Tanja RombeyDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Reinhard BusseDepartment of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Cornelia Henschke *Department of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
Dimitra Panteli *Department of Health Care Management, Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reimbursement of new technologies in inpatient care is not always linked to a requirement for evidence-based evaluation of patient benefit. In Germany, every new technology approved for market was until recently eligible for reimbursement in inpatient care unless explicitly excluded. The aim of this work was (1) to investigate the type of evidence that was available at the time of introduction of 25 innovative technologies and how this evidence evolved over time, and (2) to explore the relationship between clinical evidence and utilization for these technologies in German inpatient care.

methodsThis study combined different methods. A systematic search for evidence published between 2003 and 2017 was conducted in four bibliographic databases, clinical trial registries, resources for clinical guidelines, and health technology assessment-databases. Information was also collected on funding mechanisms and safety notices. Utilization was measured by hospital procedures captured in claims data. The body of evidence, funding and safety notices per technology were analyzed descriptively. The relationship between utilization and evidence was explored empirically using a multilevel regression analysis.

resultsThe number of included publications per technology ranges from two to 498. For all technologies, non-comparative studies form the bulk of the evidence. The number of randomized controlled clinical trials per technology ranges from zero to 19. Some technologies were utilized for several years without an adequate evidence base. A relationship between evidence and utilization could be shown for several but not all technologies.

conclusionsThis study reveals a mixed picture regarding the evidence available for new technologies, and the relationship between the development of evidence and the use of technologies over time. Although the influence of funding and safety notices requires further investigation, these results re-emphasize the need for strengthening market approval standards and HTA pathways as well as approaches such as coverage with evidence development.

Indexed as

InpatientsTechnology Assessment, BiomedicalDatabases, FactualGermanyHumansDiffusion of innovationDisinvestmentEvidence-based medicineEvidence gapsFinancial incentivesGermanyHealth technology assessmentHospitalImplementation scienceMedical devicesValue based health care

Identifiers

PMID37784100
PMCPMC10546629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.