Evidence map›Paper›PMID 28237193›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2017

Evaluating Frameworks That Provide Value Measures for Health Care Interventions.

Jeanne S Mandelblatt, Scott D Ramsey, Tracy A Lieu, Charles E Phelps

Open access · greenAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
44.9field-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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
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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

4 authors at 4 institutions in 1 country.

Jeanne S MandelblattDepartment of Oncology, Georgetown University Medical Center, Washington, DC, USA; Lombardi Comprehensive Cancer Center, Washington, DC, USA.
Scott D RamseyFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Tracy A LieuDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Charles E PhelpsUniversity of Rochester, Rochester, NY, USA. Electronic address: charles.phelps@rochester.edu.
Fred Hutch Cancer Center · USGeorgetown University · USKaiser Permanente · USUniversity of Rochester · US

Funding

Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Optimizing Personalized Care Using Economic Studies of Genomic Testing: Supporting Patient-ProviderU01CA183081 · NCI · GEORGETOWN UNIVERSITY · PI LIEU, TRACY A, MANDELBLATT, JEANNE · 2013 to 2017
$2.6M
NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA183081NCI NIH HHS U01 CA199218
6 · The paper itself

Abstract

The recent acceleration of scientific discovery has led to greater choices in health care. New technologies, diagnostic tests, and pharmaceuticals have widely varying impact on patients and populations in terms of benefits, toxicities, and costs, stimulating a resurgence of interest in the creation of frameworks intended to measure value in health. Many of these are offered by providers and/or advocacy organizations with expertise and interest in specific diseases (e.g., cancer and heart disease). To help assess the utility of and the potential biases embedded in these frameworks, we created an evaluation taxonomy with seven basic components: 1) define the purpose; 2) detail the conceptual approach, including perspectives, methods for obtaining preferences of decision makers (e.g., patients), and ability to incorporate multiple dimensions of value; 3) discuss inclusions and exclusions of elements included in the framework, and whether the framework assumes clinical intervention or offers alternatives such as palliative care or watchful waiting; 4) evaluate data sources and their scientific validity; 5) assess the intervention's effect on total costs of treating a defined population; 6) analyze how uncertainty is incorporated; and 7) illuminate possible conflicts of interest among those creating the framework. We apply the taxonomy to four representative value frameworks recently published by professional organizations focused on treatment of cancer and heart disease and on vaccine use. We conclude that each of these efforts has strengths and weaknesses when evaluated using our taxonomy, and suggest pathways to enhance the utility of value-assessing frameworks for policy and clinical decision making.

Indexed as

Decision Support TechniquesQuality Indicators, Health CareValue-Based PurchasingCardiologyConflict of InterestCost-Benefit AnalysisDelivery of Health CareMedical OncologyVaccinesVaccinescost-effectivenessmulti-attribute decision analysisvalue frameworks

Identifiers

PMID28237193
PMCPMC5539503
OpenAlexW2589709358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.