Evidence map›Paper›PMID 35788369›Full record

ArticleJournal of the National Cancer Institute. Monographs2022

Enhancing Health Equity Through Cancer Health Economics Research.

Cathy J Bradley, Kosali Simon, Karen Winkfield, Beverly Moy

Erratum issuedAbstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Cathy J BradleyColorado School of Public Health, Department of Health Systems, Management and Policy and University of Colorado Cancer Center, University of Colorado Anschutz, Aurora, CO, USA.ORCID 0000-0001-9429-6567
Kosali SimonO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN, USA.
Karen WinkfieldMeharry-Vanderbilt Alliance, Wake Forest University, Winston-Salem, NC, USA.
Beverly MoyDepartment of Medicine, Harvard Medical School, Breast Oncology Program, Massachusetts General Hospital Cancer Center, Boston, MA, USA.

Funding

University of Colorado Cancer Center Support P30CA046934
6 · The paper itself

Abstract

Cancer displays some of the largest health-equity concerns of all diseases. This paper draws attention to how health economics research can assess strategies to reduce or even eliminate health disparities and provides pivotal examples of existing research as well as areas for future contributions. The paper also highlights critical data limitations that currently restrain the impact health economics research could have. We then explore new areas of inquiry where economic research is sparse but could have an important impact on health equity, particularly in topics involving Medicare and Medicaid policies that expand reimbursement and generosity of coverage. Health economics studies are notably absent from policies and practices surrounding clinical trials, representing an opportunity for future research. We urge health economics researchers to consider experiments, interventions, and assessments through primary data collection; we further encourage the formulation of multidisciplinary teams to ensure that health economics skills are well melded with other areas of expertise. These teams are needed to maximize novelty and rigor of evidence. As policies are promulgated to address disparities in cancer, involvement of economics in a multidisciplinary context can help ensure that these policies do not have unintended impacts that may deepen inequities.

Indexed as

Health EquityNeoplasmsAgedEconomics, MedicalHumansMedicarePolicyResearchUnited States

Identifiers

PMID35788369
PMCPMC9609252

What OpenQuestion holds

Textmetadata
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.