Evidence map›Paper›PMID 35715188›Full record

ArticleBMJ open2022

Implications for cost and access of site-of-service referrals for ancillary medical services in a US Medicaid population: analysis of claims data from Maryland, USA.

Simrita Singh, Kelsey J Rydland, Chester Chambers, Vishal Mundlye, Edward Kumian, Kayode Ayodele Williams, Maqbool Dada

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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, top 86% of its field
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, 0 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Simrita SinghLeavey School of Business, Santa Clara University, Santa Clara, California, USA.
Kelsey J RydlandGeospatial and Data Services, Northwestern University, Evanston, Illinois, USA.
Chester ChambersCarey Business School, Johns Hopkins University, Baltimore, Maryland, USA.
Vishal MundlyeJohns Hopkins HealthCare LLC, Baltimore, Maryland, USA.
Edward KumianJohns Hopkins HealthCare LLC, Baltimore, Maryland, USA.
Kayode Ayodele WilliamsAnesthesiology and Critical Care Medicine, Division of Pain Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Maqbool DadaCarey Business School, Johns Hopkins University, Baltimore, Maryland, USA dada@jhu.edu.ORCID 0000-0002-5256-1446
Johns Hopkins University · USNorthwestern University · USSanta Clara University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThrough analysis of claims and payment data, we quantified several implications of shifting ancillary healthcare services from regulated, more expensive to unregulated, less expensive sites. We also quantified the implications of this shift on access to services, with a focus on differences in access between rural and urban patients for a Medicaid (disadvantaged) population in Maryland, USA.

designUsing a dataset of all Medicaid claims records for 1 year, we identified and extracted all bundles of regulated and unregulated ancillary services. Geospatial computing was used to approximate transportation costs required to access services. Including transportation enabled us to estimate net savings of any added transportation costs. We used location-allocation optimisation models to find the optimal sites to minimise net costs.

settingCoverage area included Medicaid patients throughout the state of Maryland.

participantsAll rural and urban members of this Medicaid cohort. PRIMARY AND SECONDARY OUTCOME MEASURES: Change in payer costs and member travel times on shifting ancillary bundles from regulated to unregulated sites.

resultsProcedure cost and travel time differentials between regulated and unregulated sites strongly correlated with the percentage of procedures referred to regulated sites. Shifting regulated bundles to unregulated sites, while imposing the constraint of no increase in travel time, reduced expenditures by 15.9%. This figure exceeded 30% if no limit was placed on travel-time increases.

conclusionWith reasonable constraints on allowable travel time increases, shifting ancillary service bundles from regulated to unregulated sites can benefit both patients and payers in terms of cost and access.

Indexed as

Health ExpendituresMedicaidCohort StudiesHumansMarylandReferral and ConsultationUnited Stateshealth economicshealth policyorganisation of health services

Identifiers

PMID35715188
PMCPMC9207954
OpenAlexW4283075303

What OpenQuestion holds

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LicenceCC BY-NC
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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.