Evidence map›Paper›PMID 34418216›Full record

ArticleHealth economics2021

Understanding the distributional impacts of health insurance reform: Evidence from a consumer cost-sharing program.

Marion Aouad, Timothy T Brown, Christopher M Whaley

Abstract read
In one paragraph

Article in Health economics, 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.

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
  2. Article
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

3 authors.

Marion AouadDepartment of Economics, University of California, Irvine, California, USA.ORCID 0000-0002-7838-1793
Timothy T BrownSchool of Public Health, University of California, Berkeley, California, USA.ORCID 0000-0002-5334-0768
Christopher M WhaleyRAND Corporation, Santa Monica, California, USA.

Funding

TRAINING IN THE DEMOGRAPHY AND ECONOMICS OF AGINGT32AG000246 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 1995 to 2026
$4.6M
The Impact of Reference Pricing on High Cost Medical ProceduresR01HS022098 · AHRQ · UNIVERSITY OF CALIFORNIA BERKELEY · PI BROWN, TIMOTHY TYLER · 2014 to 2018
$1.1M
The Effects of Insurance Benefit Design Innovation on Patient HealthK01AG061274 · NIA · RAND CORPORATION · PI WHALEY, CHRISTOPHER · 2019 to 2023
$649k
Using Big Data to Estimate the Effects of Complex Cost-Sharing Rules on Colorectal Cancer Screening and Patient HealthR21CA219229 · NCI · RAND CORPORATION · PI WHALEY, CHRISTOPHER · 2017 to 2018
$414k
AHRQ HHS R01 HS022098NCI NIH HHS R21 CA219229NIA NIH HHS K01 AG061274NIA NIH HHS T32 AG000246
6 · The paper itself

Abstract

We examine the heterogeneous effects of reference pricing, a health insurance reform introduced by the California Public Employees' Retirement System (CalPERS), on the distribution of spending by patients and insurers. Using medical claims data for CalPERS and a comparison group not subject to reference pricing, we use the changes-in-changes approach to estimate the quantile treatment effects of the program across different medical procedures. We find that the quantile treatment effects vary across the patient spending distributions, with a range of positive and negative estimates of the QTE, depending on the medical procedure considered. However, across all procedures, the insurer's spending distributions tend to shift left, with the largest reductions occurring in the right-tail of the spending distributions. These effects are not captured by mean estimates but have important policy implications.

Indexed as

Cost SharingInsurance, HealthHealth ExpendituresHumansInsurance Carriersdistributional effectshealth insuranceinsurance designquantile treatment effects

Identifiers

PMID34418216
PMCPMC9922490

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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.