Evidence map›Paper›PMID 26676978›Full record

ArticleMaternal and child health journal2016

Electronic Medical Record Use and Maternal and Child Care and Health.

Cristian I Meghea, William Corser, Zhiying You

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

3 authors at 1 institution in 1 country.

Cristian I MegheaInstitute for Health Policy, College of Human Medicine, Michigan State University, East Lansing, MI, 48823, USA. Cristian.meghea@hc.msu.edu.
William CorserInstitute for Health Policy, College of Human Medicine, Michigan State University, East Lansing, MI, 48823, USA.
Zhiying YouInstitute for Health Policy, College of Human Medicine, Michigan State University, East Lansing, MI, 48823, USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate effects of EHR adoption and use during pregnancy on maternal and child health care utilization and health among pregnant mothers and their infants.

methodsThe study population was comprised of all Medicaid-insured pregnant women who delivered a singleton birth in Michigan between 1/1/2009 and 12/31/2012 and their infants (N = 226,558). Linked data included birth records, maternal and infant medical claims, and EHR adoption, implementation, upgrading and meaningful use data. Pre-post comparisons with a control group (difference-in-difference) took advantage of a natural experiment of EHR adoption and use among providers in Michigan. Women and infants who received care from providers who adopted and used EHR were compared with those who received care from other providers, in a quasi-experimental framework.

resultsOver 34 % of all women in the analytic sample received perinatal care from providers who adopted and used EHR. Multivariate regressions indicate that women who received prenatal care mainly from a provider who adopted and used EHR were more likely to have any well-child visits (0.05, p = 0.04), and the appropriate number of well-child visits during the first year of life (0.03, p < 0.01).

conclusionsThe findings of this study are consistent with EHR adoption and use supporting improved child health care utilization. The findings have the potential to provide Medicaid and other healthcare program officials with evidence of the potential gains to be derived from EHRs for vulnerable low-income women and infants.

Indexed as

Electronic Health RecordsMedicaidOutcome and Process Assessment, Health CarePatient Acceptance of Health CareAdultChildChild CareChild Health ServicesFemaleHumansMichiganMultivariate AnalysisPregnancyPrenatal CareProgram EvaluationUnited StatesDifference in differenceElectronic health recordsHealthcare utilizationHealth outcomesMaternal and child healthMedicaid

Identifiers

PMID26676978
OpenAlexW2197412819

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.