Evidence map›Paper›PMID 31216945›Full record

SynthesisMedical care research and review : MCRR2020

Value-Based Provider Payment Initiatives Combining Global Payments With Explicit Quality Incentives: A Systematic Review.

Daniëlle Cattel, Frank Eijkenaar

Abstract readSystematic Review
In one paragraph

Synthesis in Medical care research and review : MCRR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
–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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. The VBHC big picture: an umbrella review.BMC health services research · 2025
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  6. Financial incentives and information provision for post-pandemic primary care quality recovery: a longitudinal study in Catalonia.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  12. Characterizing a heterogeneous chronic patient population for redesigning person-centred bundled payment models using risk-mitigating measures.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

2 authors.

Daniëlle CattelErasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0000-0001-6759-7874
Frank EijkenaarErasmus University Rotterdam, Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An essential element in the pursuit of value-based health care is provider payment reform. This article aims to identify and analyze payment initiatives comprising a specific manifestation of value-based payment reform that can be expected to contribute to value in a broad sense: (a) global base payments combined with (b) explicit quality incentives. We conducted a systematic review of the literature, consulting four scientific bibliographic databases, reference lists, the Internet, and experts. We included and compared 18 initiatives described in 111 articles/documents on key design features and impact on value. The initiatives are heterogeneous regarding the operationalization of the two payment components and associated design features. Main commonalities between initiatives are a strong emphasis on primary care, the use of "virtual" spending targets, and the application of risk adjustment and other risk-mitigating measures. Evaluated initiatives generally show promising results in terms of lower spending growth with equal or improved quality.

Indexed as

MedicareMotivationAgedDelivery of Health CareHumansUnited Statesaccountable careglobal paymentspay-for-performanceprovider paymentsvalue-based health care

Identifiers

PMID31216945
PMCPMC7536531

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.