Evidence map›Paper›PMID 29452592›Full record

ArticleInternational journal for equity in health2018

Considering mean and inequality health outcomes together: the population health performance index.

David Kindig, Nicholas Lardinois, Yukiko Asada, John Mullahy

Abstract read
In one paragraph

Article in International journal for equity in health, 2018. 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.

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

2 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

4 authors.

David KindigUniversity of Wisconsin-Madison Population Health Institute, 610 Walnut Street, 550 WARF, Madison, WI, 53726, USA.
Nicholas LardinoisUniversity of Wisconsin-Madison Population Health Institute, 610 Walnut Street, 550 WARF, Madison, WI, 53726, USA. nicklardinois@gmail.com.ORCID 0000-0003-2238-7739
Yukiko AsadaDalhousie University Centre for Clinical Research, 5790 University Avenue, Room 405, Halifax, NS, B3H 1V7, Canada.
John MullahyUniversity of Wisconsin-Madison Population Health Institute, 610 Walnut Street, 550 WARF, Madison, WI, 53726, USA.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NIA NIH HHS P30 AG017266NICHD NIH HHS P2C HD047873Robert Wood Johnson Foundation 73100
6 · The paper itself

Abstract

backgroundThe purpose was to develop and test a population health measure that combines mean health outcomes and inequalities into a single GDP-like metric to help policymakers measure population health performance on both dimensions in one metric.

methodsThe Population Health Performance Index is a weighted average of a mean index and an inequality index according to the user's inequality aversion. We deploy this methodology for two combinations of health outcome and disparity domain: infant mortality by race and unhealthy days by education.

resultsThe PHPI is bounded between 0 and 1, and is comprised of a weighted average of two separate indices: a mean index and an inequality index, with 1 representing the ideal state of no ill health and no inequality and 0 representing the worst state in the U.S. PHPI values across states (neutral 50:50 weighting) vary between 0.60 (Massachusetts) to 0.17 (Delaware) for infant mortality by race and between 0.65 (North Dakota) to 0.00 (West Virginia) for unhealthy days by education. For some states, the choice of inequality aversion significantly impacts their PHPI value and state rank.

conclusionsMean and inequality health outcomes can be combined into a single Population Health Performance Index for use by public and private policy makers, like the GDP is used as a summary metric to measure economic output. The index can allow for varying degrees of inequality aversion, an individual's or jurisdiction's value choice that can substantially impact the value of this new summary population health metric.

Indexed as

Health Status DisparitiesSocioeconomic FactorsHealth SurveysHumansInfantInfant MortalityMassachusettsPopulation HealthRacial GroupsUnited StatesDisparityHealth outcomesIndexInequalityPopulation healthTradeoff

Identifiers

PMID29452592
PMCPMC5816551

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.