Evidence map›Paper›PMID 34228279›Full record

ArticleHealth economics review2021

Using the MEAT VBP Framework to analyse and understand the value of surgical gloves: an explanatory case study.

Benedict Stanberry, Gerhard Bothma, Katie Harrison

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In one paragraph

Article in Health economics review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

3 authors.

Benedict StanberryIHLM, Oxford Centre for Innovation, New Road, Oxford, OX1 1BY, UK. benedict.stanberry@ihlm.org.ORCID http://orcid.org/0000-0003-0461-7991
Gerhard BothmaMölnlycke Health Care AB, Gamlestadsvägan 3C, 411 36, Gothenburg, Sweden.
Katie HarrisonMölnlycke Health Care AB, Gamlestadsvägan 3C, 411 36, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValue-based healthcare is being extensively piloted, scaled and implemented by healthcare providers and systems around the world. However, the ability of the healthcare supply chain function to strategically contribute to the improvement of value has been held back by a lack of practical tools for turning value-based procurement from concept into action. Two recently developed conceptual models - the American CQO Movement and the European MEAT VBP Framework - have been developed to support the implementation of value-based procurement in healthcare. We demonstrate how the latter of these models can be adapted and applied pragmatically to generate insights into the value of a specific medical device, technology or consumable.

methodsWe undertook an explanatory, qualitative, single-case study focused on a specific consumable - surgical gloves - that provide a critical example of a type of medical device usually procured in high volumes but at risk of commoditisation due to a widespread lack of understanding of their value. Since the global Covid-19 pandemic prevented fieldwork, structured interviews were conducted via Zoom and corroborated by a literature review.

resultsWe identified ten cost criteria and eight outcome criteria with which the value of surgical gloves can be analysed and understood. For each of these criteria we propose definitions and value impact metrics that decision-makers can use during a procurement exercise to describe, quantify and compare glove value.

conclusionThe MEAT VBP Framework provides a highly practical and adaptable means of imposing both structure and rigour on a value analysis process and of qualitatively describing the potential value impact of surgical gloves for patients, professionals, providers and health systems.

Indexed as

Case studyMEAT VBP FrameworkSurgical glovesValue-based procurement

Identifiers

PMID34228279
PMCPMC8259099

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LicenceCC BY
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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.