Evidence map›Paper›PMID 22742682›Full record

ArticleHealth services research2013

The impact of health information technology adoption by outpatient facilities on pregnancy outcomes.

Mary E Deily, Tianyan Hu, Sabrina Terrizzi, Shin-Yi Chou, Chad D Meyerhoefer

Abstract read
In one paragraph

Article in Health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Mary E DeilyDepartment of Economics, Lehigh University, Bethlehem, PA 18015, USA. med4@lehigh.edu
Tianyan Hu
Sabrina Terrizzi
Shin-Yi Chou
Chad D Meyerhoefer

Funding

PHS HHS PAR-08-270
6 · The paper itself

Abstract

objectiveExamine whether health information technology (HIT) at nonhospital facilities (NHFs) improves health outcomes and decreases resource use at hospitals within the same heath care network, and whether the impact of HIT varies as providers gain experience using the technologies. DATA SOURCES: Administrative claims data on 491,832 births in Pennsylvania during 1998-2004 from the Pennsylvania Health Care Cost Containment Council and HIT applications data from the Dorenfest Institute. STUDY

designFixed-effects regression analysis of the impact of HIT at NHFs on adverse birth outcomes and resource use. PRINCIPAL

findingsGreater use of clinical HIT applications by NHFs is associated with reduced incidence of obstetric trauma and preventable complications, as well as longer lengths of stay. In addition, the beneficial effects of HIT increase the longer that technologies have been in use. However, we find no consistent evidence on whether or how nonclinical HIT in NHFs affects either resource use or health outcomes.

conclusionsClinical HIT applications at NHFs may reduce the likelihood of adverse birth outcomes, particularly after physicians and staff gain experience using the technologies.

Indexed as

Medical Informatics ApplicationsAdolescentAdultAge FactorsAmbulatory Care FacilitiesDelivery, ObstetricElectronic Health RecordsFemaleHumansInsurance Claim ReviewLength of StayMiddle AgedPennsylvaniaPregnancyPregnancy ComplicationsPregnancy Outcome

Identifiers

PMID22742682
PMCPMC3589955

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.