Evidence map›Paper›PMID 16257948›Full record

ArticleAmerican journal of public health2006

Rural American Indian Medicaid health care services use and health care costs in California.

Sabrina T Wong, Chi Kao, James A Crouch, Carol C Korenbrot

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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  6. The effects of rurality on mental and physical health.Health services & outcomes research methodology · 2010
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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 at 1 institution in 1 country.

Sabrina T WongInstitute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA. carol.korenbrot@ihs.gov
Chi Kao
James A Crouch
Carol C Korenbrot
California Rural Indian Health Board · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe determined differences in Medicaid service use and health care costs in a rural Indian Health Service (IHS) user population of American Indians and Alaska Natives as compared with Whites.

methodsCalifornia Medicaid eligibility and claims files were linked to IHS user files to obtain a sample of Medicaid-eligible American Indian/Alaska Native users (n=7910). A random sample of Whites was matched for age, gender, aid category, length of eligibility, and county of residence (n=15075). We used generalized linear models to compare risk-adjusted use of resources-ambulatory visits, prescriptions, emergency room visits, hospitalizations, and costs-both adjusting and stratifying for dominant source of ambulatory visits.

resultsAmerican Indians/Alaska Natives had significantly lower use of Medicaid-paid ambulatory visits, prescriptions, emergency room visits, and hospitalizations and lower associated costs than Whites. Medicaid-paid total costs and use of services were lower for those who predominantly used Indian health program clinics, as well as for those who predominantly used other sources of ambulatory care.

conclusionsBarriers to receiving Medicaid services and payments exist for American Indians/Alaska Natives in the rural IHS-user population. If American Indians/Alaska Natives are to have Medicaid resources comparable to those of Whites, these barriers must be reduced.

Indexed as

Health Care CostsIndians, North AmericanAdultAlaskaCaliforniaFemaleHumansInuitLinear ModelsMaleMedicaidMiddle AgedRetrospective StudiesRural PopulationWhite People

Identifiers

PMID16257948
PMCPMC1470470
OpenAlexW1965563476

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.