Evidence map›Paper›PMID 30689246›Full record

ArticleHealth economics2019

Entry regulation and the effect of public reporting: Evidence from Home Health Compare.

Bingxiao Wu, Jeah Jung, Hyunjee Kim, Daniel Polsky

Abstract read
In one paragraph

Article in Health economics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Bingxiao WuDepartment of Economics, Rutgers University, New Brunswick, New Jersey.ORCID 0000-0001-5560-2998
Jeah JungDepartment of Health Policy and Administration, College of Health and Human Development, Pennsylvania State University, University Park, Pennsylvania.ORCID 0000-0001-7574-0677
Hyunjee KimCenter for Health Systems Effectiveness, Oregon Health and Science University, Portland, Oregon.
Daniel PolskySchool of Medicine, Wharton School University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

Market Competition and the Quality of Home Health ServicesR01HL088586 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI POLSKY, DANIEL E · 2008 to 2010
$1.5M
Public Reporting and Market Area Exit Decisions by Home Health AgenciesR03AG035098 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JUNG, JEAH · 2010 to 2011
$128k
NHLBI NIH HHS R01 HL088586NIA NIH HHS R03 AG035098NIH/National Heart, Lung, and Blood Institute R01 HL088586-01NIH/National Institute on Aging 1R03AG035098-01
6 · The paper itself

Abstract

Economic theory suggests that competition and information are complementary tools for promoting health care quality. The existing empirical literature has documented this effect only in the context of competition among existing firms. Extending this literature, we examine competition driven by the entry of new firms into the home health care industry. In particular, we use the certificate of need (CON) law as a proxy for the entry of firms to avoid potential endogeneity of entry. We find that home health agencies in non-CON states improved quality under public reporting significantly more than agencies in CON states. Because home health care is a labor-intensive and capital-light industry, the state CON law is a major barrier for new firms to enter. Our findings suggest that policymakers may jointly consider information disclosure and entry regulation to achieve better quality in home health care.

Indexed as

Certificate of NeedEconomic CompetitionHome Care ServicesHumansMedicareQuality Indicators, Health CareQuality of Health CareUnited Statescertificate of needcompetitionhome health care qualityinformation disclosure

Identifiers

PMID30689246
PMCPMC6405307

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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.