Evidence map›Paper›PMID 19085092›Full record

ArticleMaternal and child health journal2010

Who participates in state sponsored Medicaid enhanced prenatal services?

Lee Anne Roman, Cristian I Meghea, Jennifer E Raffo, H Lynette Biery, Shelby Berkowitz Chartkoff, Qi Zhu, Susan M Moran, Wm Thomas Summerfelt

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Article in Maternal and child health journal, 2010. 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

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

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

8 authors.

Lee Anne RomanThe College of Human Medicine, Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University, B-225 West Fee Hall, East Lansing, MI 48824, USA. lroman@msu.edu
Cristian I Meghea
Jennifer E Raffo
H Lynette Biery
Shelby Berkowitz Chartkoff
Qi Zhu
Susan M Moran
Wm Thomas Summerfelt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicaid insures an estimated 43% of all births in Michigan and provides additional funding for enhanced prenatal services (EPS). The objectives of this study are to report on the (1) use of statewide administrative data to examine risk characteristics and EPS enrollment of Medicaid-insured pregnant women in Michigan; and (2) presence and extent of a broad range of risk factors in a sample of EPS participants in Michigan, using a newly developed two-tier, risk screener and assessment tool. This study uses Vital Records, Medicaid and other data to describe EPS participation by maternal risks in the statewide population of Medicaid-insured pregnant women (54,582 in the fiscal year 2005). The screener study data is a convenience sample of 2,203 women screened between February 2005 and October 2007. The administrative data indicates that 26% of Medicaid-eligible pregnant women had EPS contact. Most women with health behavior risks, such as smoking and drug use, had no contact with EPS (68-72%). Approximately 58% of all Medicaid-insured women had zero to two co-occurring risks, while 42% had three or more of the analyzed risks. Among screened women who smoke, 9% smoked more than a pack a day. Approximately 34% of women with a depression screen scored in the moderately or severely depressed range. The results of this study suggest great opportunity for EPS enhancement by improving the capacity to identify and engage women with modifiable risks, match interventions to specific health problems, and deliver services at an intensity warranted by the risk level.

Indexed as

DemographyFemaleHumansMedicaidMichiganPregnancyPrenatal CareRisk AssessmentState GovernmentUnited StatesYoung Adult

Identifiers

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Registered trials

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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.