Evidence map›Paper›PMID 25928535›Full record

ArticleHealth research policy and systems2015

Exploring the perspectives and preferences for HTA across German healthcare stakeholders using a multi-criteria assessment of a pulmonary heart sensor as a case study.

Philip Wahlster, Mireille Goetghebeur, Sandra Schaller, Christine Kriza, Peter Kolominsky-Rabas, National Leading-Edge Cluster Medical Technologies ‘Medical Valley EMN’

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
16.2field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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  6. Heterogeneity in preferences for outcomes of integrated care for persons with multiple chronic diseases: a latent class analysis of a discrete choice experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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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

6 authors at 2 institutions in 2 countries.

Philip WahlsterInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), National Cluster of Excellence, Medical Technologies - Medical Valley EMN, Schwabachanlage 6, 91054, Erlangen, Bavaria, Germany. philip.wahlster@uni-bremen.de.
Mireille GoetghebeurSchool of Public Health, Universiy of Montreal & LASER Analytica, 1405 TransCanada Highway, Suite 310, Montréal, QC, H9P 2 V9, Canada. mireille.goetghebeur@la-ser.com.
Sandra SchallerInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), National Cluster of Excellence, Medical Technologies - Medical Valley EMN, Schwabachanlage 6, 91054, Erlangen, Bavaria, Germany. sandra.schaller@uk-erlangen.de.
Christine KrizaInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), National Cluster of Excellence, Medical Technologies - Medical Valley EMN, Schwabachanlage 6, 91054, Erlangen, Bavaria, Germany. christine.kriza@uk-erlangen.de.
Peter Kolominsky-RabasInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), National Cluster of Excellence, Medical Technologies - Medical Valley EMN, Schwabachanlage 6, 91054, Erlangen, Bavaria, Germany. peter.kolominsky@uk-erlangen.de.
National Leading-Edge Cluster Medical Technologies ‘Medical Valley EMN’
Friedrich-Alexander-Universität Erlangen-Nürnberg · DETransCanada (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth technology assessment and healthcare decision-making are based on multiple criteria and evidence, and heterogeneous opinions of participating stakeholders. Multi-criteria decision analysis (MCDA) offers a potential framework to systematize this process and take different perspectives into account. The objectives of this study were to explore perspectives and preferences across German stakeholders when appraising healthcare interventions, using multi-criteria assessment of a heart pulmonary sensor as a case study.

methodsAn online survey of 100 German healthcare stakeholders was conducted using a comprehensive MCDA framework (EVIDEM V2.2). Participants were asked to provide i) relative weights for each criterion of the framework; ii) performance scores for a health pulmonary sensor, based on available data synthesized for each criterion; and iii) qualitative feedback on the consideration of contextual criteria. Normalized weights and scores were combined using a linear model to calculate a value estimate across different stakeholders. Differences across types of stakeholders were explored.

resultsThe survey was completed by 54 participants. The most important criteria were efficacy, patient reported outcomes, disease severity, safety, and quality of evidence (relative weight >0.075 each). Compared to all participants, policymakers gave more weight to budget impact and quality of evidence. The quantitative appraisal of a pulmonary heart sensor revealed differences in scoring performance of this intervention at the criteria level between stakeholder groups. The highest value estimate of the sensor reached 0.68 (on a scale of 0 to 1, 1 representing maximum value) for industry representatives and the lowest value of 0.40 was reported for policymakers, compared to 0.48 for all participants. Participants indicated that most qualitative criteria should be considered and their impact on the quantitative appraisal was captured transparently.

conclusionsThe study identified important variations in perspectives across German stakeholders when appraising a healthcare intervention and revealed that MCDA can demonstrate the value of a specified technology for all participating stakeholders. Better understanding of these differences at the criteria level, in particular between policymakers and industry representatives, is important to focus innovation aligned with patient health and healthcare system values and constraints.

Indexed as

Administrative PersonnelHealth Knowledge, Attitudes, PracticeHealth PersonnelPulmonary Heart DiseaseTechnology Assessment, BiomedicalGermanyHumansLinear ModelsMonitoring, PhysiologicOrganizational Case StudiesSurveys and Questionnaires

Identifiers

PMID25928535
PMCPMC4424515
OpenAlexW2101168810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.