Evidence map›Paper›PMID 40865998›Full record

ArticleBMJ (Clinical research ed.)2025

Patient healthcare spending after the No Surprises Act: quasi-experimental difference-in-differences study.

Michael Liu, Kushal T Kadakia, Stephen A Mein, Rishi K Wadhera

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2025. 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

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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.

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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.

Michael LiuSection of Health Policy, Richard A and Susan F Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Kushal T KadakiaDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Stephen A MeinSection of Health Policy, Richard A and Susan F Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Rishi K WadheraSection of Health Policy, Richard A and Susan F Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA rwadhera@bidmc.harvard.edu.ORCID 0000-0003-1089-3896

Funding

Cardiovascular Health of Low-Income Working-Age Adults in the US: Health Care Access, Policy, and the PandemicR01HL164561 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Rishi Kumar Wadhera · 2022 to 2026
$3.7M
NHLBI NIH HHS R01 HL164561
6 · The paper itself

Abstract

objectiveTo estimate changes in healthcare spending in the US after implementation of the No Surprises Act (NSA) in 2022 among adults with direct purchase private insurance.

designQuasi-experimental difference-in-differences study.

setting24 US states.

participantsAdults aged 19-64 years with direct purchase private insurance who participated in the Annual Social and Economic Supplement of the Current Population Survey 2019-24 and resided in states that gained NSA surprise billing protections (intervention states) or in states with comprehensive protections already in place (control states).

main outcome measuresInflation adjusted out-of-pocket spending, insurance premium spending, and high burden medical spending (defined as spending >10% of total family income on both out-of-pocket and premium costs).

resultsThe study population included 17 351 privately insured adults, with 8204 residing in the 18 intervention states and 9147 in the six control states. After implementation of the NSA, out-of-pocket spending showed a decline among privately insured adults in intervention states (from $3674 (£2776; €3214) to $2922, relative percentage change -16.5%, 95% confidence interval (CI) -27.9% to -3.2%), but not among privately insured adults in control states ($2704 to $2550, 1.9%, -11.6% to 17.4%). A significant differential reduction was observed in out-of-pocket spending among privately insured adults in intervention states compared with control states after the NSA (relative percentage change -18.0%, -30.2% to -3.7%; absolute change -$567, 95% CI -$1031 to -$102; P=0.02). In contrast, no differential changes were observed in premium spending (relative percentage change 1.9%, -13.9% to 20.7%; absolute change $93, -$737 to $924; P=0.82) and in high burden medical spending (absolute percentage point change -1.0%, 95% CI -5.2% to 3.1%, P=0.62) between the two groups. These findings were consistent across sociodemographic characteristics, including sex, race/ethnicity, poverty status, education level, and employment status.

conclusionsSubstantial declines occurred in out-of-pocket spending among direct purchase privately insured adults who gained NSA surprise billing protections. In contrast, premium spending and high burden medical spending did not change. Additional policy efforts are needed to reduce healthcare related financial strain in the US.

Indexed as

Health ExpendituresInsurance CoverageInsurance, HealthPatient Protection and Affordable Care ActAdultFemaleFinancing, PersonalHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID40865998
PMCPMC12381712

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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.