Evidence map›Paper›PMID 39365482›Full record

ArticleHealth economics review2024

Negotiating pricing and payment terms for insurance covered mHealth apps: a qualitative content analysis and taxonomy development based on a German experience.

Bettina Freitag, Leonard Fehring, Marie Uncovska, Alexandra Olsacher, Sven Meister

Abstract read
In one paragraph

Article in Health economics review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Bettina FreitagHealth Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany.ORCID http://orcid.org/0000-0003-2316-8781
Leonard FehringFaculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany.ORCID http://orcid.org/0000-0002-3322-3724
Marie UncovskaHealth Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany.ORCID http://orcid.org/0000-0002-0694-7970
Alexandra OlsacherFaculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany.ORCID http://orcid.org/0009-0001-1247-3329
Sven MeisterHealth Care Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, Witten, 58455, Germany. sven.meister@uni-wh.de.ORCID http://orcid.org/0000-0003-0522-986X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGermany was the first country worldwide to offer mobile digital health applications (mHealth apps, "DiGA") on prescription with full cost coverage by statutory health insurances. Especially statutory health insurances criticize the current pricing and payment regulations in Germany due to "free and non-transparent" pricing in the first year and lack of cost use evidence. The study consists of two parts: The first part evaluates interests of digital health application providers and statutory health insurances in Germany to identify overlaps and divergences of interests. The second part includes the development of a comprehensive pricing and payment taxonomy for reimbursable mHealth apps in general.

methodsBoth parts of the study used the input from 16 expert interviews with representatives of digital health application providers and statutory health insurances in Germany. In part one the authors conducted a qualitative content analysis and in part two they followed the taxonomy development process according to Nickerson et al. (2013).

resultsA value based care model is expected to bring the greatest benefit for patients while statutory health insurances welcome the idea of usage based pricing. The final pricing and payment taxonomy consists of four design and negotiation steps (price finding, payment prerequisites, payment modalities, composition of negotiation board).

conclusionsAs healthcare resources are scarce and thus need to be optimally allocated, it is important to implement pricing and payment terms for reimbursable mHealth apps that result in the greatest benefit for patients. To the best of the authors' knowledge, there has been no structured study yet that examines alternative pricing strategies for reimbursable mHealth apps.The developed pricing and payment taxonomy for reimbursable mHealth apps serves as planning and decision basis for developers, health policy makers and payers internationally.

Indexed as

DiGAMHealthPricingQualitative content analysisReimbursementTaxonomy development

Identifiers

PMID39365482
PMCPMC11451222

What Socratic holds

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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 Socratic graph.