Evidence map›Paper›PMID 33678170›Full record

ArticleBMC health services research2021

The impact of Dual Eligible Special Need Plan regulations on healthcare utilization.

Kimberly Danae Cauley Narain, Jessica Harwood, Carol Mangione, O Kenrik Duru, Susan Ettner

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. 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 97% 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

5 authors at 1 institution in 1 country.

Kimberly Danae Cauley NarainDivision of General Internal Medicine and Health Services Research (GIM/HSR), Department of Medicine, University of California Los Angeles, 1100 Glendon Ave., Suite 850, Los Angeles, CA, 90024, USA. KNarain@mednet.ucla.edu.
Jessica HarwoodDivision of General Internal Medicine and Health Services Research (GIM/HSR), Department of Medicine, University of California Los Angeles, 1100 Glendon Ave., Suite 850, Los Angeles, CA, 90024, USA.
Carol MangioneDivision of General Internal Medicine and Health Services Research (GIM/HSR), Department of Medicine, University of California Los Angeles, 1100 Glendon Ave., Suite 850, Los Angeles, CA, 90024, USA.
O Kenrik DuruDivision of General Internal Medicine and Health Services Research (GIM/HSR), Department of Medicine, University of California Los Angeles, 1100 Glendon Ave., Suite 850, Los Angeles, CA, 90024, USA.
Susan EttnerDivision of General Internal Medicine and Health Services Research (GIM/HSR), Department of Medicine, University of California Los Angeles, 1100 Glendon Ave., Suite 850, Los Angeles, CA, 90024, USA.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine if requiring Dual Eligible Special Need Plans (D-SNPs) to receive approval from the National Committee of Quality Assurance and contract with state Medicaid agencies impacts healthcare utilization.

methodsWe use a Multiple Interrupted Time Series to examine the association of D-SNP regulations with dichotomized measures of emergency room (ER) and hospital utilization. Our treatment group is elderly D-SNP enrollees. Our comparison group is near-elderly (ages 60-64) beneficiaries enrolled in Medicaid Managed Care plans (N = 360,405). We use segmented regression models to estimate changes in the time-trend and slope of the outcomes associated with D-SNP regulations, during the post-implementation (2012-2015) period, relative to the pre-implementation (2010-2011) period. Models include a treatment-status indicator, a monthly time-trend, indicators and splines for the post-period and the interactions between these variables. We conduct the following sensitivity analyses: (1) Re-estimating models stratified by state (2) Estimating models including interactions of D-SNP implementation variables with comorbidity count to assess for differential D-SNP regulation effects across comorbidity level. (3) Re-estimating the models stratifying by race/ethnicity and (4) Including a transition period (2012-2013) in the model.

resultsWe do not find any statistically significant changes in ER or hospital utilization associated with D-SNP regulation implementation in the broad D-SNP population or among specific racial/ethnic groups; however, we do find a reduction in hospitalizations associated with D-SNP regulations in New Jersey (DD level = - 3.37%; p = 0.02)/(DD slope = - 0.23%; p = 0.01) and among individuals with higher, relative to lower levels of co-morbidity (DDD slope = - 0.06%; p = 0.01).

conclusionsThese findings suggest that the impact of D-SNP regulations varies by state. Additionally, D-SNP regulations may be particularly effective in reducing hospital utilization among beneficiaries with high levels of co-morbidity.

Indexed as

MedicaidPatient Acceptance of Health CareAgedEthnicityHumansMiddle AgedNew JerseyState GovernmentUnited StatesDual-eligible beneficiariesHealthcare utilizationMedicare

Identifiers

PMID33678170
PMCPMC7938466
OpenAlexW3134544460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.