Evidence map›Paper›PMID 42501378›Full record

ArticleHealth economics2026

Star Ratings and Willingness to Travel for Hospital Care.

Kaylyn Sanbower, Ian McCarthy, Leonardo Sanchez-Aragon

Abstract read
In one paragraph

Article in Health economics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kaylyn SanbowerUS Department of Justice, Washington, District of Columbia, USA.
Ian McCarthyDepartment of Economics, Emory University, and NBER, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-7942-3468
Leonardo Sanchez-AragonFacultad de Ciencias Sociales y Humanisticas, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Guayaquil, Ecuador.ORCID https://orcid.org/0000-0003-0849-0780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Choosing a hospital for elective inpatient care is a complex decision due to pervasive information asymmetries and multidimensional quality attributes. Online reviews provide an accessible and salient source of hospital quality information that could influence patient choices. Using the universe of hospital Yelp reviews and inpatient claims data for elective procedures in Florida (2012-2017), we exploit exogenous variation in online ratings to estimate the causal effect of online reviews on hospital selection. Depending on the underlying condition, we find that patients are willing to travel 7.9% farther for labor and delivery and 33.5% farther for orthopedic surgery for a one-standard-deviation increase in a hospital's rating percentile rank within its market, which is roughly a half-star increase. The larger response for orthopedic procedures is consistent with greater reliance on online information when provider relationships are weaker. Falsification tests on emergency admissions yield null results, confirming that online reviews influence elective rather than urgent decision-making. Our findings highlight the role of consumer-generated information in healthcare markets and suggest that online platforms can meaningfully shape provider competition.

Indexed as

Choice BehaviorHospitalsTravelAdultElective Surgical ProceduresFemaleFloridaHumansMaleMiddle AgedQuality of Health Carehospital choiceonline reviewsquality disclosure

Identifiers

PMID42501378
PMCPMC13532629

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.